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Key Takeaways:
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Remember when researching a purchase meant toggling between about 20 different tabs on your laptop? You’d run a string of keyword searches on Google, scroll through the results, open tabs for all the promising-sounding options, and review. Your collection of tabs might exist for days, weeks, or even months, growing and shrinking along with your research until you finally felt informed enough to pull the trigger (or until your browser decided to stage an intervention and crash).
Now think about the last item you bought. Maybe you asked ChatGPT for product recommendations and made a purchase after reviewing them. Or perhaps an AI summary at the top of a Google search compared three options for you, and you picked one without having to do any additional research. Sound familiar?
The path that moves a person from “I might need this” to “I bought it” looks almost nothing like it did a decade ago, or even three years ago. It’s fragmented, nonlinear, and increasingly shaped by algorithms and AI. For advertisers, that shift changes what it looks like—and the underlying technology it requires—to reach consumers effectively in key moments of influence.
Not long ago, the customer journey was relatively straightforward. A customer became aware of a product, considered and evaluated it, and finally made their decision and completed the purchase. Advertising mapped neatly onto that path. A billboard or TV spot built awareness, while a well-placed search or display ad nudged a shopper toward a decision. Advertisers could reasonably predict where a customer was headed and meet them there.
Today’s journey looks quite different: It bends, loops, scatters across channels, and rarely starts or ends where advertisers expect.
Discovery now happens everywhere, all the time. Most shoppers say they discover new products at least once a week, and that discovery is spread across TikTok FYPs, Instagram feeds, AI summaries, retail apps, and beyond. This discovery also often happens across multiple devices at the same time, with the majority of media consumers across every generation saying they now browse the internet or use apps on their phones while watching TV. With content so readily available, advertisers are competing for attention that is splintered across screens and digital spaces. That makes showing up intentionally and consistently across channels even more important.
The research phase has changed as well, evolving into a multi-touch, multi-channel endeavor. Consumers now research a product three or more times before buying, and nearly a quarter research five times or more. They also turn to a variety of sources for their research: online reviews and listicles, social media, recommendations from family and friends, in-store visits, search engines, AI, and beyond. For advertisers, that scatter makes presence across channels less of a “nice-to-have” and more of a requirement, since there’s no longer a single place where decisions get made.
Purchase has also grown more unpredictable. More than 30% of shoppers say they research online but buy in-store, a pattern that makes attribution especially difficult. When someone discovers a product through a TikTok creator but buys it at Walmart, connecting that sale to the original touchpoint—or any other touchpoints along the way—is a real challenge for advertisers trying to understand what’s working. Without a connected view of those touchpoints, advertisers risk crediting the wrong channel and misallocating their next dollar.
In addition to the rising complexity of digital media, AI is also playing a major role in the evolution of the customer journey. Among people who use AI to shop, it now ranks as the second most influential shopping source—trailing only behind search engines and outranking retailer sites, apps, and recommendations from family and friends.
And adoption is climbing quickly. AI now plays a role in 86% of shoppers’ retail journeys. Nearly half of AI shoppers use it most or every time they shop, with 80% saying they anticipate relying on it more moving forward. People who use AI for shopping are also finding real value in the tool: 81% say AI makes the job easier, 77% say it makes them more confident in their decisions, and nearly 90% report it helps them find products they wouldn’t have known about otherwise.
AI also tends to expand the path to purchase rather than shortening it. After an AI interaction, shoppers tend to add more steps to their customer journey, often in an effort to validate their choice before buying. Though AI certainly does streamline some stages of the path to purchase, it also adds steps that weren’t there before. And each of those new steps is another opportunity for advertisers to connect with shoppers on their way to making a decision.
Zero-click search is reshaping the journey further. As AI summaries and chatbot responses answer questions directly in the results, fewer users click through to a brand’s site at all. That doesn’t mean those impressions stop mattering, however: Ads appearing alongside AI-generated summaries still influence decisions, even without a click. It does mean advertisers have to rethink how they measure influence and where they show up, since a growing share of discovery and decision-making now happens inside environments where AI shapes what consumers see, hear, and trust about a brand.
Adapting to how the customer journey has evolved starts with recognizing and accepting the complexity of it. CTV, retail media, short-form video, AI chatbots, AI search summaries, and more are all live, simultaneous touchpoints, each with its own signals and rules. Advertisers who try to manage each in isolation will likely struggle to keep up. The teams adapting best treat these channels as one connected system, planning and buying across them together rather than each in isolation.
Accomplishing this depends on a few capabilities. One is real-time visibility and reporting. When AI tools can compress discovery, evaluation, and purchase into minutes, advertisers need to see what’s resonating as it happens (not days later in a reconciled report) so they can move budget toward what’s working during key moments of impact.
That kind of visibility is hard to come by when data stays fragmented. Nearly half of agency marketers use eight or more tools to manage campaigns, and more than a third manage 10 or more. Even more, fewer than one in five industry professionals describe their first-party data as extensive and well-structured. This leaves teams to piece together the path to purchase from incomplete inputs across systems that weren’t necessarily built to talk to each other.
Speed is another key capability, in both execution and planning. Shoppers today move through different steps quickly and across channels, which means bid strategies, creative, budget allocation, and the media plans behind them all need to keep pace. Automated, AI-powered optimization that makes continuous, goal-aligned adjustments, powered by live performance signals, can be the difference between capitalizing on the channels where target audiences are spending time and missing those opportunities entirely. That same speed matters earlier in the campaign process, too. Considering how dynamic the customer journey is today, teams that can build and adjust media plans quickly—rather than rebuilding them manually each quarter—stay aligned with how consumers actually behave. AI-powered tools are increasingly helping compress that planning work so agency talent can focus on strategy over manual setup.
Taken together, these capabilities underscore what adapting to the modern customer journey requires: A strategy built around how consumers behave today, and the infrastructure to execute it.
In a journey this fragmented and fast-moving, the infrastructure beneath a team’s advertising workflows matters as much as the strategy on top of it. But not all infrastructure is created equal, and “unified” can mean different things in practice.
Real visibility across channels means little if teams must continually switch between tools to access data, billing, and reconciliation systems. Real-time optimization falls short if the platform powering it can’t handle the complexity of true omnichannel work. For example, a platform that unifies programmatic but treats search, social, and site direct buys as afterthoughts isn’t unified in the way that advertisers need to adapt to the complexity of the 2026 customer journey.
The advertisers best positioned for navigating it are the ones working from a single, unified platform that connects programmatic, search, social, and CTV, supported by infrastructure stable enough to make agile, cross-channel activation reliable at scale.
In 2026, the customer journey is fragmented, nonlinear, and shaped by AI at every turn. To reach people in moments of meaningful impact, advertisers need visibility across channels, the speed to act on what they see, and the connected infrastructure to make both possible.
The days of the tidy linear funnel and the slow, self-directed path to purchase aren’t coming back. Today’s customer journey calls for a different kind of toolkit, one well-suited for media fragmentation, AI, and the speed at which today’s consumers move. The advertisers who invest now in unified, real-time infrastructure—the kind that brings every channel into a single view and acts on customer signals as they happen—will be the ones who keep pace as the journey keeps changing.
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Looking for more information on how to adapt your media planning for the modern customer journey? Check out Beyond the Funnel: A Better Way to Plan Media.
Key Takeaways:
Brand safety and suitability look very different today than they did just a few years ago, and most advertisers’ strategies haven’t kept up with the new pace.
Online spaces increasingly characterized by harmful and polarizing content, the proliferation of AI-generated media, reduced platform moderation, and the growing complexity of digital advertising have combined to raise the brand risk profile for advertisers.
Closing that gap requires a mindset shift from leaders. Instead of treating brand safety as a box to check once campaigns are live, brand safety and suitability must be approached as a strategic consideration built into media planning from the start.
The brand safety and suitability environment has evolved considerably in recent years. The open web has grown more volatile, with offensive language, controversial content, and hate speech on the rise. Just between 2024 and 2025, the share of offensive content online rose by 72%. Considering that 64% of global consumers say the genre of content surrounding an ad influences how they perceive it, the increasing hostility of online spaces creates significant content adjacency issues for advertisers.
The emergence of generative AI and subsequent proliferation of AI-generated content online has exacerbated such concerns. A 2025 Basis study found that a full 100% of marketers and advertisers agree that AI presents a brand safety and misinformation risk, and 53% of media experts in the US cite advertisements’ proximity to gen AI content as a top media challenge this year.
Social media has grown particularly contentious, especially as major social platforms have rolled back their content moderation policies in recent years. Close to two-thirds of marketers running campaigns on social feel concerned about the brand suitability of those ad placements.
April Weeks, Chief Media Officer at Basis, says the combination of these and other factors has raised the stakes for brand safety and suitability. “The risk has increased,” says Weeks, “and to adapt, advertisers must treat brand safety and suitability as brand-specific governance issues that are integrated into the media plan.”
Beyond content adjacency issues, wasted spend is a major concern when it comes to programmatic investments.
The ANA’s latest Programmatic Transparency Benchmark found a considerable gap in how effectively advertisers convert their spend into working media. Higher-performing advertisers directed 54% of their programmatic investments toward impressions that were measurable, viewable, and free of invalid traffic and made-for-advertising (MFA) content. Lower-performing advertisers converted just 32.1%—in other words, more than two-thirds of their spend was wasted.
The platforms marketing teams use for programmatic advertising have a considerable impact on how effectively they’re able to direct their spend. For example, platforms that prioritize supply path optimization (SPO)—offering supply chain visibility, neutral buy-side transparency, and brand safety controls built into the buying process—help advertisers convert more spend into quality placements.
“The best DSPs clean up the supply chain before an advertiser even bids—vetting publishers, filtering out bots, and removing invalid traffic up front,” notes Lindsey Freed, SVP of Media Investment at Basis.
Successfully addressing brand suitability, brand safety, and programmatic waste in today’s media environment requires marketing leaders to think about these issues differently than they have in the past.
“Historically, brand safety meant not showing up next to negative content,” says Dan Wilson, GVP of Integrated Client Solutions at Basis. “Today, it's about safeguarding your brand's integrity: considering where your ads are placed, the quality of the surrounding content, and what's suitable for your brand, audience, message, and moment in the customer journey.”
Legacy brand safety approaches were characterized by post-campaign verification, a reliance on platforms to manage risk, and blunt controls like broad keyword blocks or genre-level content blocking. As the complexity of the digital media environment has grown, Weeks says that advertisers must take on more responsibility, taking the time to craft nuanced brand safety and suitability strategies that are engrained into the planning process.
Leading advertisers are now incorporating pre-bid tools alongside post-bid verification, adding solutions to block MFAs and other low-quality websites, and accounting for channel- and platform-specific risks. Social listening, for example, has become essential given the polarization of content on social platforms.
Content adjacency approaches are also becoming more nuanced. The most successful advertisers are moving away from binary “safe vs. unsafe” thinking, and towards more granular, context-specific approaches. Rather than applying a blanket block on all news content, for instance, advertisers can use inclusion lists of trusted publishers paired with contextual targeting to ensure ads appear alongside news the brand is comfortable with, and within trusted editorial environments. “It’s about approaching it from a lens that isn’t black and white,” says Wilson.
Technology is evolving to support advertisers in these more granular approaches. For example, newer solutions can go beyond keyword matching, using contextual and semantic analysis to assess whether content is actually suitable and incorporating real-time signals to reduce waste.
Ultimately, success depends on leaders shifting their mindset, considering brand safety and suitability in the planning phase, and addressing them through a nuanced, multi-pronged approach.
Crafting a brand safety strategy suited to the complexity of today's media landscape takes real investment. Auditing legacy approaches, building channel-specific controls, and evolving workflows and tech stacks all take time. For leaders willing to invest that time, however, the potential returns are significant.
"The opportunity amongst the complexity is there," says Wilson. "The question is, will advertisers take the time to find it?"
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For a deeper look at how supply path optimization supports stronger brand safety outcomes, check out The Case for Supply Path Optimization as Strategic Priority.
The local branch of a marketing & advertising agency holding company based in San José, Costa Rica wanted to compare Basis’ campaign efficiency—specifically with time and cost savings—against working with separate media owners.
To do so, they used Basis to boost brand awareness and visibility for two leading client brands in the beverage industry to their target consumers.
Basis implemented a strategic, data-driven digital out-of-home (DOOH) campaign that included:
Basis delivered a data-driven DOOH campaign in Costa Rica that simplified execution, reached 665k users, and proved the platform’s power to reduce costs and maximize efficiency.
The results:
Strategic Virtual Roadmap
Basis designed a journey roadmap of high-traffic zones and pinpointed 13 key screens that aligned with target audience’s mobility patterns, maximizing reach with the right audience at the right time.
Precise Activation with PMPs
Basis used three distinct private marketplace deals for precise targeting and scheduling across a combination of indoor and outdoor screens.
Centralized Execution Across Media Vendors
Basis enabled seamless coordination and exact time scheduling across multiple vendors, reducing complexity and boosting efficiency.
Integrated Post-Campaign Reporting
Paired with a measurement provider, Basis provided a detailed report that covered campaign performance metrics and qualitative audience data like consumer demographics and device type.
For most agencies, the DSP is where media plans turn into live campaigns, which makes it one of the more consequential platform decisions a team can make. Choose well, and planning, buying, and reporting move faster across every account. Choose poorly, and the platform adds friction to campaigns it was supposed to accelerate.
The best DSP for agencies depends on your agency's size, client volume, and channel mix. Platforms like Basis, The Trade Desk, DV360, Amazon DSP, Viant, and Simpli.fi each serve different agency profiles, from independent boutiques managing a handful of accounts to mid-market teams running programmatic, search, social, and direct buys across dozens of verticals. The right demand side platform reduces operational complexity, improves reporting transparency, and scales with your client roster rather than against it.
That decision carries more weight every year. Programmatic now accounts for roughly 91% of US digital display ad spend, so the platform an agency uses to access it shapes a growing share of the work. At the same time, tool sprawl is climbing: Basis' 2026 Advertising Agency Report found that more than one-third of full-service and media agencies now manage 10 or more adtech tools, more than double the share two years ago, with inefficient processes (44.1%) and siloed systems (40.4%) ranking as their top operational challenges. The DSP you choose either adds to that burden or helps remove it.
This guide compares leading demand side platforms by agency type, walks through the evaluation criteria that matter most, and helps you build a case for the right investment.
The right DSP for your agency is the one that matches your team's workflow, your clients' channel requirements, and your growth trajectory. There is no universal "best" platform. A platform that excels for a holding-company network may create friction for an independent shop, and vice versa.
Start by identifying where you fall across three dimensions:
Once you map your agency against these dimensions, the field narrows quickly. A boutique with five clients and a display-heavy media mix has different requirements than a mid-market shop running full-funnel campaigns across 30 accounts. For a deeper look at the criteria that should guide your evaluation, this guide to choosing the right omnichannel DSP covers the decision in more detail.
Agencies should evaluate DSPs across six core dimensions: inventory breadth, multi-client account management, campaign optimization, reporting transparency, onboarding support, and pricing model clarity.
Inventory breadth determines where your ads can run. The strongest programmatic platforms for agencies offer access to premium display, video, native, audio, CTV, and digital out-of-home inventory through direct publisher integrations, private marketplaces, and the open exchange. This matters more as budgets shift to streaming: US CTV ad spend is on pace to reach about $38 billion in 2026, up nearly 15% year over year, so inventory access increasingly means streaming reach. Brand safety and ad fraud protection are also part of this evaluation. (For a detailed look at how leading DSPs handle both, see this comparison of DSPs for ad fraud protection and brand safety.)
Multi-client account management is where many DSPs fall short for agencies. You need hierarchical account structures that let you manage budgets, audiences, and creative assets at the client level without cross-contamination. Platforms designed for single-advertiser use often require workarounds that slow your team down.
Campaign optimization should go beyond basic bid adjustments. Look for algorithmic optimization across KPIs, automated budget pacing, and the ability to shift spend across tactics in real time. With AI now used at more than 99% of agencies, the question is no longer whether a platform applies AI but how much routine optimization it removes from your team's plate.
Reporting transparency matters for both internal decisions and client communication. Your DSP should provide granular, exportable reporting with clear visibility into costs, margins, and performance by tactic, channel, and audience segment. If you need to rebuild reports outside the platform, that is a red flag.
Onboarding support is especially critical for agencies switching platforms or adopting programmatic for the first time. Structured onboarding, dedicated success managers, and ongoing training reduce time-to-value and protect campaign performance during the transition.
Pricing model clarity separates platforms you can trust from those that obscure costs. Understand whether a DSP charges on a CPM basis, a percentage of spend, a flat SaaS fee, or some combination. Hidden fees can erode your margins and make it harder to forecast profitability for your clients.
If you want a refresher on how these platforms work, this DSP fundamentals guide covers the essentials.
The leading demand side platforms popular with agencies in 2026 each have distinct strengths. The right fit depends on your agency's profile, so the comparison below is organized by use case rather than a single ranking.
| Platform | Core strength | Best for |
| Basis | Unified planning, buying, optimization, reporting, and billing across programmatic, search, social, and direct | Agencies that want to consolidate their full workflow in one platform, plus expansive programmatic inventory, supply path transparency, and award-winning service |
| The Trade Desk | Enterprise-grade programmatic scale | Large, tech-savvy programmatic teams with substantial budgets |
| DV360 | Deep Google ecosystem integration and YouTube access | Google-centric campaigns that lean on GA4 and CM360 |
| Amazon DSP | Purchase-intent targeting built on Amazon shopping data | Commerce and retail clients with high spend |
| Viant | CTV reach and people-based, cookieless identity | Programmatic teams prioritizing streaming and AI-driven execution |
| Simpli.fi | Localized and multi-location programmatic at scale | Agencies with franchise, local, or multi-location clients |
| Platform | Programmatic | Paid search | Paid social | Direct buys | Billing & reconciliation | CTV | Entry point |
| Basis | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Lower threshold |
| The Trade Desk | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ~$10K+/mo |
| DV360 | ✓ | Limited¹ | ✗ | ✗ | ✗ | ✓ | GMP contract (~$50K+/mo) |
| Amazon DSP | ✓ | ✗² | ✗ | ✗ | ✗ | ✓ | $10K rec. self-serve / $50K managed |
| Viant | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | Self-serve & managed |
| Simpli.fi | ✓ | ✗ | Partial³ | ✗ | Separate⁴ | ✓ | Self-serve & managed |
¹ DV360's search functionality is limited; agencies typically run paid search through Google Ads separately. ² Amazon's search ads run through its own sponsored-ads console, separate from Amazon DSP. ³ Simpli.fi reaches social inventory programmatically but is not a paid-social campaign-management tool. ⁴ Simpli.fi offers agency workflow and billing through its separate Advantage and Core Media product line, not a natively unified platform.
The best DSPs for agencies in 2026 include Basis, The Trade Desk, DV360, Amazon DSP, Viant, and Simpli.fi, and the right choice depends less on raw programmatic horsepower than on how much of the agency workflow a platform can absorb. A team running programmatic across a handful of large accounts, for instance, has different needs than a shop reconciling dozens of clients across channels. With that in mind, the sections below will evaluate each platform on channel coverage, workflow depth, and the agency profile it fits best.
Basis is an AI-powered advertising platform built specifically for how agencies operate. It consolidates campaign planning, programmatic buying, paid social, search, direct deals, reporting, and billing into a single platform, eliminating the tool fragmentation that drives up operational cost and manual effort across agency teams.
Here is how a typical agency campaign flows through Basis:
Basis' partnership with Mediaocean extends its financial workflow capabilities, connecting media planning data with downstream billing and reconciliation systems. For agencies that use Mediaocean for billing and finance, Basis functions as the execution engine that sits in front of it. The platform's AI optimization has produced measurable gains, with some agencies reporting up to a 5x improvement in advertising performance. For agencies managing high client volume across verticals, that combination of consolidation and performance is what separates Basis from point solutions that address only one stage of the campaign lifecycle.
Basis is strongest for: Full-service and media agencies that need one platform to handle every stage of the campaign lifecycle—from planning to activating to optimizing to reporting to billing—across both the open web and walled gardens.
The Trade Desk has built a strong reputation for enterprise-grade programmatic buying. Its bidding capabilities, access to a large third-party data marketplace, and strong connected TV inventory make it a credible choice for sophisticated, large-scale programmatic programs.
That sophistication, however, comes with a steep learning curve, and its formidable monthly minimums make it best suited to agencies with dedicated programmatic expertise and clients with substantial budgets. The Trade Desk is also programmatic-only. It does not handle paid search, paid social, or direct buys, so agencies still need separate tools for non-programmatic channels and a separate system for billing and reconciliation.
The Trade Desk is strongest for: Large agencies running high-volume programmatic programs with dedicated ad tech resources and clients whose media mix is weighted toward programmatic.
DV360 (Google Display & Video 360), part of the broader Google Marketing Platform, offers programmatic buying with detailed attribution and tight integration across Google's ecosystem, including exclusive YouTube inventory, the Google Display Network, Campaign Manager 360, and Google Analytics 4. For advertisers running Google-heavy campaigns, that interoperability is hard to match.
The tradeoffs, however, are significant. DV360 is not available as a self-serve product: Access requires a Google Marketing Platform contract with practical minimum spend thresholds, and its utility diminishes outside Google-owned environments. Search functionality is limited, and the platform does not handle paid social, direct buys, billing, or financial reconciliation. For agencies whose clients need omnichannel reach beyond Google, DV360 addresses only part of the buying workflow.
DV360 is strongest for: Agencies running Google-heavy, attribution-focused campaigns, particularly teams with in-house analytics expertise already operating within the Google stack.
Amazon DSP gives agencies access to something few platforms can replicate: targeting built on Amazon's proprietary shopping, browsing, and streaming data. Purchase-intent signals derived from Amazon's retail ecosystem offer uniquely powerful audience targeting based on actual purchase behavior rather than inferred intent, alongside premium inventory across Prime Video, Twitch, Thursday Night Football, and Fire TV.
The tradeoff is cost and scope. Self-service access carries no hard minimum, though Amazon recommends roughly a $10,000 campaign budget for some formats to generate enough data for optimization, while managed service requires a minimum commitment of around $50,000 per month. The platform's core advantage is strongest for retail, CPG, and e-commerce clients; agencies serving other verticals will find it less relevant. Amazon DSP also operates as a walled garden and does not handle paid search, paid social, direct buys, media planning workflows, billing, or reconciliation.
Amazon DSP is strongest for: Agencies with commerce-focused clients that can put Amazon's shopper data and premium streaming inventory to work.
Viant is an AI-powered, CTV-focused programmatic DSP whose central differentiator is its Household ID, a deterministic, people-based identity solution built for cookieless, cross-device targeting and measurement. The platform pairs solid connected TV and video inventory with autonomous campaign features, including a product that handles setup, optimization, and management with limited manual intervention.
For agencies, the constraints mirror other programmatic-only platforms. Viant does not offer search, social, or direct buying, and it carries no agency workflow, billing, or financial operations layer. Its interface and advanced features can present a learning curve, and the autonomous approach, while innovative, reduces hands-on trader control, which some teams prefer to keep.
Viant is strongest for: Programmatic teams that prioritize CTV reach and people-based identity and are comfortable leaning on automated execution.
Simpli.fi is a programmatic platform with a clear specialty in localized and hyperlocal advertising, including geo-fencing, geo-conversion tracking, and multi-location campaign management at scale across CTV, display, video, native, and audio.
However, users flag a complex interface and a learning curve for new teams. Additionally, Simpli.fi's strength is concentrated in local and multi-location use cases, so agencies with national or non-local clients may find its core value proposition less applicable.
Simpli.fi is strongest for: Smaller agencies serving local, multi-location clients that need hyperlocal targeting at scale.
The strongest platforms automate routine optimization and surface reporting that scales across clients, so teams spend their time on strategy rather than manual adjustments.
Campaign optimization in modern DSPs goes well beyond setting a bid and walking away. Leading platforms use machine learning to adjust bids in real time, shift budget across tactics and channels as results come in, and pace spend to avoid over- or under-delivery, all aimed at the outcomes clients care about. Reporting is where that quality becomes visible to clients: The best platforms offer dashboards configurable per client, scheduled report delivery, transparent cost breakdowns that separate media from platform fees, and cross-channel views that show how programmatic, search, social, and direct buys perform together.
The deeper divide is structural. Most of the platforms above handle one slice of the workflow well. A programmatic DSP executes programmatic buys, but with most demand side platforms, agencies still need to run separate tools for search, social, direct deals, and the back-office work of billing and reconciliation. Each added tool is another login, another data silo, and another manual handoff, which is why tool sprawl tracks so closely with the inefficiency and siloed-system challenges agencies report. The platforms that stand apart are the ones that reduce the number of systems an agency has to operate, not add to it. That unified model is where Basis, in particular, is built to compete—and it is increasingly what cross-channel, AI-driven optimization depends on, since connected data is the input those systems need to work.
Independent DSPs operate without ties to a specific holding company or media conglomerate, giving agencies more flexibility in how they buy media and where they allocate spend. Holding-company-affiliated platforms may offer preferential pricing or bundled services, but they can also limit access to competitive inventory or lock teams into a single ecosystem.
For independent and boutique agencies, this distinction matters. If your agency is not part of a major network, you need a DSP that offers transparent pricing, open marketplace access, and support that does not assume you have a 50-person ad ops team. The best independent DSPs provide the same caliber of technology, inventory access, and optimization available to large networks, without enterprise-level minimums.
Third-party agencies evaluating DSPs should pay close attention to contract terms. Some platforms require long-term commitments or minimum monthly spend that can be prohibitive for smaller shops; others offer flexible models that scale with the business. The broader question is how the DSP fits the full tech stack alongside your ad server, data tools, and campaign management. For a wider view, see how top advertising agency platforms for media buying compare.
Building a business case for a new DSP requires framing the investment in terms leadership cares about: operational efficiency, margin improvement, and client retention.
Basis unifies programmatic, direct, search, social, and connected TV buying in a single platform, giving agencies one place to plan, execute, optimize, and report across every digital channel.
For agencies managing high client volume, Basis provides the multi-client account structures, automated reporting, and cross-channel visibility that reduce operational complexity. For independent agencies competing with larger networks, it offers enterprise-grade technology paired with dedicated onboarding, training through AdTech Academy, and ongoing support from a dedicated Success Manager.
Explore Basis DSP to see how it fits your agency's needs.
What is the best DSP for agencies? The best DSP for agencies depends on client volume, channel mix, and team experience. Agencies that want planning, programmatic, search, social, direct buys, and billing in one place tend to favor a unified platform like Basis, while teams focused purely on programmatic scale may prefer The Trade Desk or DV360. Map your requirements first, then match them to the platform that removes the most friction across your full operation.
What is a DSP and how do agencies use it for programmatic advertising? A DSP, or demand side platform, is software that lets advertisers and agencies buy digital ad inventory programmatically through automated, real-time auctions. Agencies use DSPs to plan, execute, and optimize campaigns across display, video, native, CTV, and audio from a single interface. The DSP automates bidding, applies audience targeting, and reports on performance, letting agencies manage media buying at scale across multiple clients.
Which leading demand side platforms are popular with agencies in 2026? Leading demand side platforms used by agencies in 2026 include Basis, The Trade Desk, DV360, Amazon DSP, Viant, and Simpli.fi. Each serves a different profile: Basis unifies programmatic, search, social, CTV and direct buys with planning, billing; The Trade Desk and Viant focus on programmatic scale and CTV; DV360 integrates with the Google ecosystem; Amazon DSP brings shopper-data targeting; and Simpli.fi specializes in localized, multi-location campaigns.
What is the best DSP for independent agencies? The best DSP for an independent agency offers transparent pricing, open marketplace access, flexible contract terms, and strong onboarding support without enterprise-level minimums. Independent shops should prioritize platforms like Basis that deliver the same technology and inventory access as large networks while providing hands-on support, since they rarely have large in-house ad ops teams.
Which DSP is best for agencies managing high client volume across verticals? Agencies managing high client volume across verticals need hierarchical multi-client account structures, per-client reporting, and broad channel coverage in one system. A unified platform that handles programmatic, search, social, and direct buys, along with billing and reconciliation, reduces the manual handoffs and data silos that multiply as account counts grow.
What DSPs offer the best customer support and onboarding? Agencies adopting or switching platforms should prioritize structured onboarding, dedicated success managers, and ongoing training, all of which reduce time-to-value and protect performance during a transition. Basis pairs its platform with a services organization that provides consulting, onboarding, and training through AdTech Academy, along with a dedicated Success Manager for ongoing support.
What is the difference between a managed-service DSP and a self-serve DSP for agencies? A self-serve DSP gives your team direct control over setup, optimization, and reporting, which suits agencies with experienced programmatic traders. A managed-service DSP provides hands-on support from the platform's team, handling some or all execution on your behalf. Many platforms offer both, letting agencies choose the level of support that matches their team's capabilities and workload.
Can small or independent agencies access the same DSP technology as large agency networks? Yes. Many leading DSPs offer independent agencies the same technology, inventory access, and optimization they provide to large networks. The key is to evaluate pricing minimums, contract flexibility, and onboarding support, since some platforms require enterprise-level spend commitments while others offer flexible models built for independent teams.
Where can I compare trusted DSP platforms for digital campaigns? You can compare DSPs using the at-a-glance and channel-coverage tables in this guide, which evaluate Basis, The Trade Desk, DV360, Amazon DSP, Viant, and Simpli.fi across channel support, billing, CTV access, and entry point. Score each platform against your own client volume, channel mix, and team experience to identify the strongest fit.
How much does it cost to run a DSP campaign through an agency? DSP campaign costs vary by pricing model, media spend, and the channels you activate. Common structures include a percentage of media spend, CPM-based fees, or a flat SaaS subscription, and some platforms combine them. Beyond platform cost, factor in creative production, data fees for audience targeting, and any managed-service charges. Request a transparent fee breakdown from each DSP you evaluate so you can forecast client margins accurately.
Meadows at Mystic Lake is an award-winning public golf course that offers a unique, challenging, and scenic golf experience. They are a full-service golfing destination enhanced by nearby food and entertainment venues.
Mid-flight, Meadows at Mystic Lake’s CTV campaign was delivering at just 17.4% of target. With budget on the line and the flight window closing, the team needed a fast answer.
The issue: Brand protection costs were consuming campaign budget at $1.60 CPM, restricting delivery and preventing the campaign from serving at full capacity across tactics.
Using Basis, the team switched to Protected by Mediaocean. Brand protection costs dropped from $1.60 to $0.10 CPM, a 94% reduction, and the impact on delivery was immediate.
Within one week, the campaign reversed its course. It went from 17.4% pacing to ahead of target, serving across all tactics at full spend.
To manage the recovery, the team added budget across tactics, then pulled daily budgets back once full delivery was confirmed, staying on target without overspending.
During the same period, the team activated a new content targeting tactic through Basis, delivering an $18.94 CPM—the lowest of the campaign.
“When we identified brand protection as the issue, we made the switch to Protected by Mediaocean and didn’t look back. The campaign recovered faster than expected, and we talked away with a new brand protection set we can use across all campaigns.” - Senior Integrated Media Specialist
Marketers are measuring more than ever, but confidence in campaign decisions is still lagging. What’s the disconnect?
Join Basis Effectiveness Lead Lauren Johnson and VP of Media Innovations + Technology Noor Naseer for a candid look at what separates real campaign effectiveness from measurement for measurement’s sake. They unpack what’s moving the needle in measurement in 2026, where most teams get stuck, and how to turn the data you already have into clear next steps.
You’ll walk away with:
Connected TV ad spending in the US is projected to reach $37.95 billion in 2026. Programmatic CTV will account for more than 93% of that. As budgets grow, the connected TV platform that an agency selects can have significant downstream effects on everything from day-to-day efficiency, to campaign performance, to client confidence.
Agencies evaluating CTV platforms face several structural challenges: The channel is highly fragmented across dozens of streaming apps and publishers. Ad fraud is growing, with 57% of marketers who advertise on CTV now worrying that a significant portion of their spend is wasted due to fraud. And attribution remains difficult—especially when CTV drives awareness, but conversions occur later on different devices, often outside traditional click-based measurement frameworks.
When evaluating CTV advertising platforms, agencies should look for premium inventory access within trusted streaming environments, AI-powered contextual targeting, multi-layered fraud prevention, comprehensive measurement that proves business impact, unified workflow integration, and strategic partnership that extends beyond a transactional vendor relationship.
For agencies buying CTV at scale, BasisTV+ is built to bring clarity and efficiency. It reaches 93% of US smart TV households and unifies CTV with programmatic, search, social, and direct media in a single interface, allowing teams to grow CTV investment without adding tools, manual reporting, or operational drag.
Key Takeaways
When it comes to CTV inventory, quality matters more than raw reach alone. Agencies should evaluate platforms on premium publisher partnerships, household reach benchmarks, and controls that limit exposure to low-quality inventory.
A reliable CTV advertising platform should maintain direct relationships with major streaming providers such as Hulu, ESPN, Roku, Disney+, and Amazon Fire TV. These relationships signal that the platform has passed publisher vetting and can access premium, ad-supported inventory. Additionally, access to supply-side platforms like FreeWheel provides programmatic access to broadcast and cable content through CTV devices.
Additionally, platforms that consolidate CTV inventory access within a broader omnichannel buying interface reduce the need for agencies to manage separate tools for each channel.
CTV ad platforms should also offer both open exchange inventory for scale and private marketplace (PMP) deals for quality control. Access to such inventory gives agencies flexibility to curate inventory lists per client, and it helps avoid made-for-advertising apps that lead to substantial wasted ad spending.
And, of course, programmatic guaranteed deals offer another option, combining traditional TV reach with programmatic targeting precision and more flexibility than upfront commitments.
A competitive CTV advertising platform should provide at least 1,000+ targeting parameters, including device-specific targeting, demographic segmentation, behavioral data, geographic precision, and content category targeting.
Platforms should offer granular content-level reporting beyond app names. For instance, for sports inventory, agencies need the specific sport, teams, and location rather than generic "Sports" category. This enables tactical optimization and demonstrates brand-suitable placements to clients.
Agencies should also look for platforms that support the latest targeting capabilities. Take CTV contextual targeting: Historically, metadata was limited to broad categories like "Sports." But AI can now identify specific topics within shows, visual scenes, sentiment, and contextual relevance. This matters for performance—consumers pay nearly 4x more attention to contextually relevant CTV ads. AI-powered contextual ads delivered 300% higher aided brand recall and 2x unaided brand recall versus demographic targeting. CTV targeting solutions like IRIS.TV analyze content frame-by-frame to create contextual segments impossible through manual categorization. And platforms like Basis integrate IRIS.TV directly into their buying workflow, letting agencies activate contextual CTV segments without toggling between separate tools.
Finally, a strong CTV advertising platform will support first-party data activation and cross-device targeting. With privacy regulations tightening, contextual targeting based on content category, broadcast type, and device offers privacy-compliant alternatives to individual tracking.
CTV ad fraud is on the rise. In Q3 2025, 18% of programmatic CTV traffic in the US was invalid. In other words, nearly one in five “viewers” might have actually been a bot binge-watching your ads. The right platform prevents fraud through multiple protection layers:
The CTV platforms with the most detailed reporting combine real-time dashboards, log-level data, and trackable metrics in a single interface alongside all other digital channels. Competitive CTV advertising platforms should track at least 80+ metrics across performance dimensions including video completion rate (VCR), reach and frequency, impressions delivered, cost per completed view (CPCV), and tactical performance breakdowns by app, device, and content category.
CTV ads consistently deliver high engagement. Completion rates approach 98%, with attention rates exceeding 50%, outperforming many other digital video formats. Because CTV inventory is inherently full-screen and viewable, agencies can focus measurement efforts on deeper performance indicators like completion rate by content category, frequency distribution, and cost per completed view.
Beyond baseline metrics, agencies need outcome-oriented measurement, including incrementality studies, brand lift analysis, and sentiment tracking. QR codes and cross-device signals help connect CTV exposure to downstream actions on mobile and desktop, filling common attribution gaps.
Platforms should also provide real-time performance dashboards, not just end-of-campaign reports. Automated reporting reduces manual work compiling data from multiple sources. Platforms that generate cross-channel reports from a single interface save agencies the most time here.
The strongest platforms measure CTV alongside programmatic, search, social, and display in a single interface, then connect exposure to conversions across devices using log-level data and IP-to-impression matching. That unified view is what makes cross-channel measurement possible: Rather than evaluating CTV in isolation, agencies see how it works with every other channel to drive outcomes.
This is important because last-click attribution models undervalue CTV, since viewers typically see an ad on one screen and convert later on another device. Advanced platforms solve this by connecting CTV exposure at the household level to subsequent conversions (instead of crediting only the final click) using log-level data and IP-to-impression matching.
This approach links CTV impressions to household IP addresses. When conversions occur later on other devices within the same household, those actions can be attributed back to CTV exposure. This requires detailed impression logs and timestamped conversion data, not modeled estimates alone.
The strongest approaches integrate CTV data with client CRM systems, tracking the full journey from exposure through conversions. Platforms should support multiple attribution models—such as linear, time-decay, and position-based—and not just last-click attribution.
Additionally, incrementality studies can measure what conversions wouldn't have happened without CTV exposure using holdout groups. This proves actual impact rather than correlation.
Then, to bring everything together visually, real-time dashboard access enables mid-campaign optimization. For instance, if attribution shows CTV driving strong assisted conversions in specific markets, then agencies can shift budgets toward those geos immediately.
Strong CTV results come from pairing platform capability with partnership: the technical infrastructure to close attribution gaps, combined with the research and specialist support that turn measurement into proven business impact.
CloudControlMedia, a performance-based digital marketing agency specializing in higher education, needed to prove CTV could drive conversions and close attribution gaps. Their clients had historically relied on lower-funnel tactics, making upper-funnel CTV investment a harder internal sell.
CloudControlMedia partnered with Basis to launch campaigns for Abilene Christian University. Basis provided research and proposal support to pitch brand awareness campaigns confidently. Log-level data enabled IP-to-impression matching that tied CTV exposure to ACU's CRM data, closing the attribution loop. Basis acted as an extension of the CloudControlMedia team, connecting them to subject matter experts.
Results included:
CloudControlMedia cited Basis as a responsive research partner that extended their internal capabilities. Without log-level data and CRM integration, these conversion lifts would have remained invisible, limiting CTV investment despite measurable enrollment impact.
This partnership illustrates what agencies should evaluate beyond platform features: whether the vendor provides research support, pitch-ready materials, and access to channel specialists who accelerate time to value.
CTV fragmentation often forces agencies to manually compile data across multiple tools, turning media planners into spreadsheet archaeologists and increasing reporting time and operational fatigue.
Unified, all-channel activation platforms eliminate inefficiencies by managing CTV alongside other channels in a single interface. Doing so provides a wide range of benefits, including unified reporting, streamlined workflows, automated reconciliation, cross-channel optimization, and centralized asset management via shared document storage capabilities.
Competitive platforms should provide a wide breadth of API integrations spanning ad servers (ex. Google Campaign Manager), billing facilitation, search and social platforms (ex. Google Ads, Meta, LinkedIn, TikTok, Snapchat, Reddit, Pinterest), data partners (ex. LiveRamp), inventory sources (ex. DIRECTV, Hulu, ESPN), and verification vendors (ex. DoubleVerify, Peer39, Comscore, Protected by Mediaocean).
When evaluating platforms, agencies should ask how many of their existing tools (ad servers, billing systems, search and social platforms, verification vendors) connect natively. These integrations create automated data flows rather than manual uploads. The fewer manual data transfers required, the lower the operational burden on the team.
Beyond unification, agencies need white-label reporting, transparent fee structures, team collaboration tools, multi-client management, and granular permissioning to support internal teams and client transparency.
For advertisers who are looking for precision, CTV's advantage over linear TV is the ability to optimize in-flight. Platforms should be able to facilitate A/B testing across creative versions, video lengths (:15 seconds, :30 seconds, :60 seconds), and interactive elements. And the best CTV platforms can automatically shift budget toward higher-performing variants as results emerge, rather than waiting for post-campaign analysis.
And you know how frustrating it is when you see the same ad every…single…commercial…break? Blame it on the platform. Look for one that offers granular frequency capping, which prevents ad fatigue. Meanwhile, settings like "no more than two impressions per user per day" balance reach and repetition.
Platforms should be able to use AI to automatically optimize bids based on performance against KPIs, bidding more aggressively on high-performing placements and reducing bids on underperforming segments. Agencies should ask whether a platform’s AI optimization extends beyond CTV to other channels within the same interface, since siloed optimization limits cross-channel budget decisions.
CTV advertising platforms should come with access to ample premium inventory. And when standard inventory doesn't meet needs, agencies should look for platforms that provide custom private marketplace deals directly within the buying interface.
Additional capabilities worth seeking out in a CTV advertising platform include flexible dayparting, real-time geographic budget shifts, high-definition video support up to 4K, interactive overlays and QR codes, and performance-based pacing that accelerates spending when campaigns exceed targets.
Agencies should expect dedicated CTV experts who understand channel-specific nuances like brand safety in streaming environments, creative best practices for large screens, measurement approaches for cross-device journeys, and inventory quality distinctions.
Strong partners provide market research, client pitch support, strategic recommendations, and access to subject matter experts. This turns the platform into a planning partner, not just a buying tool.
Support should include prompt responses for critical issues, designated account contacts, availability during agency working hours, and proactive monitoring. Platforms should also offer comprehensive onboarding, regular training, certification programs, and educational resources.
And partners should conduct regular business reviews, in which they’ll cover performance trends, new features, optimization recommendations, and opportunities to expand successful tactics across clients.
BasisTV+ brings premium CTV inventory, advanced targeting, multi-layered fraud protection, and cross-channel measurement into a single agency-facing workflow, built to scale CTV investment without increasing operational drag. Here’s what that looks like in practice:
Use this framework to assess CTV advertising platforms:
The platform you choose shapes your agency's ability to scale CTV investment without drowning in manual reporting or watching client budgets evaporate to bot traffic. Agencies selecting platforms with premium inventory, advanced targeting, robust fraud prevention, comprehensive measurement, unified workflow management, and strategic partnership will operate more efficiently and prove CTV’s impact to clients with confidence.
What is the best platform for agencies buying CTV at scale?
The best platform for buying CTV at scale combines premium inventory reach with unified workflow management, so agencies can grow investment without adding tools or manual work. BasisTV+ reaches 93% of US smart TV households and manages CTV alongside programmatic, search, social, and direct media in one interface. That consolidation lets agencies scale CTV efficiently while proving its impact to clients.
Which CTV advertising platforms offer the most detailed reporting and analytics?
The most detailed platforms pair real-time dashboards and log-level data with 80+ trackable metrics and white-label, cross-channel reporting. BasisTV+ delivers this with automated reporting, eliminating the manual work of compiling data from multiple sources. This gives agencies the granularity to optimize mid-campaign and report with confidence.
Which trusted CTV platforms integrate with programmatic buying tools?
Trusted CTV platforms integrate natively with programmatic exchanges, DSP functionality, ad servers, billing systems, data partners, and verification vendors. BasisTV+ offers 170+ API integrations, including trusted partners such as DoubleVerify, Peer39, Comscore, Protected by Mediaocean, LiveRamp, and FreeWheel. These native connections create automated data flows instead of manual uploads.
Which platforms offer cross-channel measurement that includes CTV?
Platforms that measure CTV alongside programmatic, search, social, and display in a single interface offer true cross-channel measurement. BasisTV+ connects CTV exposure to conversions across devices using log-level data and IP-to-impression matching, rather than crediting only the last click. This shows how CTV works with every other channel to drive outcomes.
How do I choose the best connected TV advertising platform this year?
Evaluate platforms across key criteria: inventory quality, targeting depth, brand safety, measurement, integration, and support. Prioritize premium inventory access, AI-powered contextual targeting, multi-layered fraud prevention, cross-device attribution, unified workflow integration, and strategic partnership beyond a transactional vendor relationship. The platform you choose shapes your agency's ability to scale CTV without drowning in manual reporting or losing budget to bot traffic.
What CTV advertising platforms offer cross-device retargeting?
Platforms that support cross-device retargeting use household-level identity resolution to re-engage CTV-exposed viewers on their mobile and desktop devices. This turns CTV from a standalone awareness tactic into a connected, full-funnel strategy. BasisTV+ supports cross-device targeting directly within the buying workflow, so agencies can extend CTV exposure into retargeting without a separate tool.
Choosing the right media buying platform is one of the most consequential operational decisions an advertising agency can make. The wrong choice fragments your workflow, inflates overhead, and limits your ability to scale. But the right one can centralize planning, execution, reporting, and billing, so your team spends less time managing tools and more time delivering results.
The stakes are real. According to Basis' 2026 Advertising Agency Report, more than one-third of full-service and media agencies are now managing 10 or more tools across their adtech stack—more than twice as many as in 2024. Inefficient processes and siloed systems are the top operational challenges agencies face. The platform you choose either adds to that burden or helps eliminate it.
Below is a comparative overview of five leading platforms shaping how agencies buy media today.
| Platform | Core Strength | Best For |
|---|---|---|
| Basis | Unified end-to-end automation across programmatic, social, search, and direct | Agencies seeking full workflow consolidation |
| The Trade Desk | Enterprise-grade programmatic scale and transparency | Large-budget, tech-savvy programmatic teams |
| Google Marketing Platform | Deep attribution and Google ecosystem integration | Google-centric measurement and analytics |
| StackAdapt | Self-serve programmatic with strong usability and multi-channel reach | Mid-sized agencies prioritizing ease of use and flexibility |
| Amazon DSP | Purchase-intent targeting via proprietary shopping data | E-commerce-focused clients with high spend |
A media buying platform is specialized software that enables agencies to plan, activate, and measure digital ad campaigns across multiple channels, centralizing workflow, data, and financial processes within a single system.
A demand-side platform (DSP), meanwhile, is a software system that enables buyers to purchase digital ad inventory in real time across multiple exchanges, using automated bidding and data-driven targeting.
The best platforms do more than execute buys. They connect every stage of the campaign lifecycle—from initial planning and audience targeting through activation, optimization, reporting, and financial reconciliation—in one environment. That end-to-end connectivity is what separates a true agency operating platform from a point solution that handles only one part of the workflow.
For agencies evaluating their options, it's important to go beyond merely counting up the number of features that a platform provides, and to thoughtfully consider which platform eliminates the most friction across your full operation. The platforms below represent the leading options in the market today, evaluated across channel coverage, workflow depth, pricing accessibility, and fit for agency use cases.
Basis is an AI-powered advertising platform built specifically for how agencies operate. It consolidates campaign planning, programmatic buying, paid social, search, direct deals, reporting, and billing into a single platform, eliminating the tool fragmentation that drives up operational cost and increases manual effort across agency teams.
Here's how a typical agency campaign flows through Basis:
Basis' partnership with Mediaocean extends its financial workflow capabilities, connecting media planning data with downstream billing and reconciliation systems—reducing the manual handoffs that typically slow campaign closes. For agencies that use Mediaocean for billing and finance, Basis functions as the execution engine that sits in front of it.
The platform's AI optimization capabilities have demonstrated measurable performance gains, with some agencies reporting up to a 5x improvement in advertising performance. That combination of operational efficiency and performance outcomes is what distinguishes Basis from point solutions that address only part of the campaign lifecycle.
Basis also has a leading independent DSP that is built into the platform, extensive partnerships with data and inventory providers, and an array of integrations with leading publishers and platforms including ad servers (Google Campaign Manager), billing systems (Advantage and Freewheel), and search and social APIs (Google Ads, Bing, Meta, LinkedIn, TikTok, Snapchat, Reddit, Pinterest).
Lastly, Basis has an award-winning customer service team that is known to partner closely with users to ensure their success across onboarding, education, and campaign execution.
Basis is strongest for: Full-service and media agencies that need one platform to handle every stage of the campaign lifecycle, from planning through billing.
The Trade Desk has built a strong reputation for enterprise-grade programmatic buying. Its bidding capabilities, supply-path transparency, and access to connected TV inventory make it a credible choice for sophisticated, large-scale programmatic programs.
That sophistication comes with real requirements. The platform carries a steep learning curve, and significant monthly minimums make it best suited to agencies with dedicated programmatic expertise and clients with substantial media budgets. The Trade Desk is also a programmatic-only platform. It does not handle paid search, paid social, or direct media buys, which means agencies still need separate tools for non-programmatic channels and a separate system for billing and reconciliation.
Basis vs. The Trade Desk — a quick comparison:
| Capability | Basis | The Trade Desk |
|---|---|---|
| Programmatic buying | ✓ | ✓ |
| Direct media buys | ✓ | ✗ |
| Paid social integration | ✓ | ✗ |
| Paid search integration | ✓ | ✗ |
| Billing & reconciliation | ✓ | ✗ |
| Monthly minimum | Lower threshold | ~$10K+ |
| Technical complexity | Moderate | High |
| CTV access | ✓ | ✓ |
The Trade Desk is strongest for: Large enterprise agencies running high-volume programmatic programs with dedicated ad tech resources and clients whose media mix is weighted toward programmatic channels.
Google Marketing Platform (GMP)—which includes Campaign Manager 360 and Display & Video 360—offers detailed attribution, analytics, and tight integration with Google's ad ecosystem. For advertisers running Google-heavy campaigns, its measurement capabilities are hard to match.
Attribution in digital advertising is the process of crediting conversions or business outcomes to specific touchpoints across a campaign, enabling accurate measurement of performance and ROI. GMP's attribution tools are among the most mature in the market, particularly for campaigns running across Google Ads, YouTube, and the Google Display Network.
But the tradeoffs are significant. GMP is not available as a self-serve product, and access requires a Google Marketing Platform contract, with practical minimum spend thresholds around $50,000 or more per month. Setup is complex, technical requirements are substantial, and the platform's utility diminishes quickly outside of Google-owned inventory. Direct deals and non-Google media channels are not its strength. For agencies whose clients require omnichannel reach beyond Google's ecosystem, GMP addresses only a portion of the buying workflow.
Some agencies use DV360 as a standalone programmatic buying tool rather than as part of the full Google Marketing Platform suite. Even in that configuration, DV360 addresses only the programmatic activation layer. Agencies running it alongside separate tools for paid search, paid social, and direct buys are still managing fragmented data pipelines, manual reporting aggregation, and disconnected billing processes. The programmatic capability is real, but it comes at the expense of operational consolidation.
Google Marketing Platform is strongest for: Performance advertisers managing Google-heavy campaigns that require granular attribution, particularly teams with in-house analytics expertise already operating within the Google stack.
StackAdapt is a self-serve programmatic DSP with a reputation for usability, onboarding support, and pricing flexibility. StackAdapt has earned recognition for making programmatic buying accessible across CTV, display, video, native, audio, DOOH, and in-game advertising.
StackAdapt's DSP is known for its low minimum spend requirements and its strong customer support infrastructure. Recent additions include integrated email marketing and a data hub for first-party data activation, signaling an expansion toward the intersection of adtech and martech. That said, StackAdapt remains a programmatic execution platform. It does not offer search or social campaign management, and it lacks the agency workflow layer—billing, reconciliation, financial operations—that agencies managing multiple clients at scale require.
StackAdapt is strongest for: Mid-sized agencies prioritizing programmatic execution, ease of use, and flexible pricing, particularly those whose client base is concentrated on the open web.
Amazon DSP gives agencies access to something few platforms can replicate: targeting built on Amazon's proprietary shopping data. Purchase-intent signals derived from Amazon's retail ecosystem—a reported 300 million+ active customer accounts globally—offer uniquely powerful audience targeting for e-commerce-focused clients, based on actual purchase behavior rather than inferred intent.
Amazon DSP provides access to premium inventory both on and off Amazon properties, including Prime Video, Twitch, Thursday Night Football, and Fire TV. The tradeoff is cost and scope. Self-service access carries no hard minimum spend requirement, giving agencies flexibility to right-size budgets based on each client's objectives. Amazon recommends a $10,000 campaign minimum for some self-service formats to generate sufficient data for optimization. Managed service, run by Amazon's team, requires a minimum client commitment of $50,000 USD per month. Agencies with clients outside those verticals—or whose media mix extends beyond Amazon's ecosystem—will find limited applicability.
Amazon DSP does not handle paid search, paid social, direct buys, media planning workflows, billing, or financial reconciliation. For agencies managing diverse client portfolios, it addresses one channel within the buying workflow, not the full operational picture.
Amazon DSP is strongest for: Agencies with retail and e-commerce clients that have the budget to access Amazon's data advantage and closed inventory ecosystem.
Evaluating a platform requires more than comparing feature checklists. The right tool depends on how your agency operates, what your clients need, and where you plan to grow.
Must-have capabilities to assess:
Understanding the trade-offs:
Platforms like The Trade Desk offer significant programmatic depth, but come with higher operational costs, steeper technical requirements, and channel coverage gaps that require additional tools to fill. Unified platforms like Basis are built for broader channel coverage and end-to-end workflow automation without requiring a dedicated engineering team to operate them, or a separate tool stack to complete the workflow.
The right platform scales with your agency, and not just with your media spend.
Most agencies manage programmatic and direct buys as separate workflows—different platforms, different data pipelines, different billing processes. That fragmentation adds overhead at every stage.
Consolidating both buy types within a single platform streamlines the entire operation:
| Stage | Fragmented Approach | Unified Platform |
|---|---|---|
| Planning | Separate tools per channel | One plan, all channels |
| Media Buying | Multiple systems, manual entry | Single interface for all placements |
| Reporting | Manual aggregation across sources | One dashboard, unified data |
| Billing | Separate invoices and reconciliation | Centralized financial workflow |
Basis was built specifically for this consolidation. Agencies use it to manage programmatic inventory, direct site buys, paid social, and search campaigns from a single interface, with planning, buying, reporting, and billing all connected. That eliminates the data handoffs and manual reconciliation that consume significant agency resources when operating across multiple tools.
Cross-channel advertising is the practice of running coordinated ad campaigns across multiple digital channels to maximize reach, efficiency, and data-driven performance. As client rosters grow and campaign complexity increases, the ability to scale without multiplying operational overhead becomes a strategic advantage.
A scalable platform should accommodate:
When evaluating scalability, agencies should estimate realistic monthly spend thresholds for their client base and assess whether a platform's minimums and pricing model align with their growth trajectory. A platform that works well at $500K in monthly media spend may not be the right fit at $5M, and vice versa.
Manual reporting and billing are among the highest-friction activities in agency operations—they're time-consuming, error-prone, and difficult to scale. The operational burden is significant: according to Basis' 2026 Advertising Agency Report, inefficient processes and siloed systems are the top two challenges facing agencies today, with more than one-third of agencies now managing 10 or more tools across their adtech stack. Platforms that automate these workflows create measurable, compounding operational gains.
Here is how an automated reporting and billing workflow typically functions in a platform like Basis:
The benefits compound over time. Reducing manual errors lowers the risk of billing disputes. Faster reconciliation accelerates cash flow. Centralized data gives account teams cleaner insight into campaign performance without waiting on reporting pulls, and gives agency leadership the unified visibility they need to make faster, more confident decisions.
What is a media buying platform for advertising agencies? A media buying platform is specialized software that enables agencies to plan, activate, and measure digital ad campaigns across multiple channels—centralizing workflow, data, and financial processes within a single system. The best agency platforms handle everything from campaign planning and programmatic buying to reporting, billing, and financial reconciliation.
What is a demand-side platform and how does it support media buying? A demand-side platform (DSP) is software that enables buyers to purchase digital ad inventory in real time across multiple exchanges, using automated bidding and data-driven targeting. DSPs sit at the core of most programmatic media buying operations. Some platforms, like Basis, combine DSP capabilities with broader agency workflow tools—including search, social, direct buying, CTV, and billing—in a single interface.
What is the difference between Basis and The Trade Desk? The Trade Desk is a programmatic-only DSP focused on large-scale, enterprise programmatic buying. Basis is a unified agency platform that handles programmatic, paid social, paid search, and direct media buys—along with planning, reporting, and billing—in a single system. Agencies using The Trade Desk still need additional tools for non-programmatic channels and back-office operations; Basis consolidates those workflows into one platform.
Can one platform manage both programmatic and direct media buys? Yes. Several modern agency platforms, including Basis, enable end-to-end management of both programmatic and direct media buys within a single interface, simplifying workflow and consolidating reporting across deal types. This eliminates the manual data handoffs and reconciliation overhead that come with managing separate systems for each buy type.
What features should agencies prioritize when choosing a media buying platform? Agencies should prioritize centralized media planning, unified cross-channel reporting, AI-driven optimization, billing and reconciliation automation, and server-side tracking for privacy compliance. Beyond feature coverage, evaluate minimum spend thresholds, technical complexity, and whether the platform handles your full channel mix, or only part of it.
How do advertising agency platforms handle billing and reconciliation? Leading platforms automate the billing process by logging impression delivery and performance data against insertion orders, comparing delivered results against contracted terms, and flowing reconciled data into invoicing workflows. Platforms built for agency operations, like Basis, handle this end to end, from campaign execution through financial close, within a single system.
What budget considerations should agencies have when choosing a platform? Agencies should account for minimum monthly spend requirements, platform fees, setup costs, and long-term scalability. Some enterprise platforms carry significant monthly minimums; Amazon DSP managed service requires a minimum client commitment of $50,000 USD per month. Factor in the total cost of operation—including staffing, training, and the tools you'll still need to run alongside the platform—not just licensing fees.
How does AI improve campaign performance on agency advertising platforms? AI-driven optimization improves bidding efficiency and placement quality throughout a campaign flight, adjusting in real time based on performance signals. On platforms like Basis, AI is also applied to media planning—for instance, Compass, Basis' agentic AI planning tool, takes a media brief and produces a fully optimized, ready-to-activate omnichannel media plan. Some agencies have reported up to a 5x improvement in advertising performance using Basis' AI optimization capabilities.
What is the best advertising platform for mid-sized agencies? Mid-sized agencies benefit most from platforms that offer broad channel coverage, flexible pricing, and operational efficiency without requiring a dedicated engineering team. Basis and StackAdapt both serve this market well—Basis for agencies that need full workflow consolidation from planning through billing, StackAdapt for agencies prioritizing programmatic execution with strong usability and no minimum spend requirements.
Ad fraud is no longer a back-office concern. It’s a line item in every media director’s risk calculus, and it’s growing faster than the budgets used to fight it. Global advertisers lost an estimated $63 billion to invalid traffic in 2025, with roughly 8.5% of all paid digital traffic flagged as invalid—bots, automated scrapers, malicious competitor clicks, and synthetic engagement that drains budgets and corrupts the optimization signals AI-driven campaigns depend on.
That figure is on a steep upward curve. Global ad fraud losses are expected to reach $172 billion by 2028 as bot networks adopt generative AI and agentic automation. For agencies managing multi-million-dollar client portfolios, fraud protection has grown from a checkbox feature into a critical vendor-selection criterion. The DSP you choose either defends ad spend against this growing threat or quietly funnels a share of every campaign budget into the fraud economy.
This guide compares six leading demand-side platforms on the dimensions that matter most for brand safety and ad fraud protection: certification posture, IVT filtering methodology, verification partner integrations, and how each platform handles emerging fraud vectors like signal loss and agentic bot traffic.
| Platform | Core fraud protection approach | Best for |
| Basis | Automated AI-powered inventory cleansing combined with human monitoring; integrated verification across Comscore, DoubleVerify, Peer39, and Protected by Mediaocean | Agencies and brands that want unified ad fraud and brand safety controls integrated across programmatic, social, search, and direct |
| The Trade Desk | Pre-bid filtering with IAS, DoubleVerify, and HUMAN Security; supply path optimization through OpenPath | Enterprise programmatic teams with dedicated ad ops resources |
| DV360 | Google-owned verification, Active View viewability, and third-party integration with major verification vendors | Performance teams operating primarily within the Google ecosystem |
| Amazon DSP | Proprietary fraud detection on Amazon-owned inventory; third-party verification on off-Amazon supply | Retail and e-commerce advertisers buying primarily within Amazon’s ecosystem |
| StackAdapt | Pre-bid and post-bid filtering through DoubleVerify, IAS, and Peer39 integrations | Mid-sized agencies running programmatic on the open web |
| Viant | Household ID-based verification, AI Lattice Brain anomaly detection, third-party verification partners | CTV-heavy buyers prioritizing identity-based measurement |
Ad fraud protection is the set of technologies, certifications, and operational controls that detect and block invalid traffic, fraudulent inventory, and brand-unsafe placements before, during, and after a campaign runs. It spans pre-bid filtering, post-bid analysis, supply path optimization, and third-party verification, and it determines how much of an advertiser’s media spend actually reaches real human audiences.
The financial stakes have changed the conversation. When fraud losses sat at 5% to 8% of media spend, many advertisers still treated brand safety as a compliance step. At today’s projected loss rates, fraud exposure can rival the margin on a mid-sized account. Industry research from Fraudlogix, based on analysis of 105.7 billion impressions, found a global invalid traffic rate of 20.64%— in other words, roughly one in five impressions across the open programmatic ecosystem showed signals consistent with fraudulent or non-human activity.
Agencies that run campaigns on a DSP without robust fraud controls are paying a fraud tax measured against client revenue, reporting decks that omit IVT filtering data are overstating performance, and contract renewal conversations now include increasingly pointed client scrutiny on how each platform protects budget against fraud exposure.
Ad fraud is the deliberate practice of generating fake impressions, clicks, or conversions to extract payment from advertisers without delivering real human engagement. The Media Rating Council (MRC) defines its detection scope using two categories of invalid traffic:
Within those categories, the fraud techniques most relevant to programmatic buyers include:
Domain spoofing: Fraudulent supply sources misrepresent the inventory they’re selling, claiming impressions from a premium publisher when ads actually serve on a low-quality or fraudulent site. The ads.txt and sellers.json standards from IAB Tech Lab were created specifically to verify which intermediaries are authorized to sell a given publisher’s inventory.
Ad stacking: Multiple ads are layered on top of each other within a single placement, with only the top ad visible. Advertisers pay for impressions that no human ever sees.
Pixel stuffing: Ads are served into a 1x1 pixel space—technically loaded and counted as impressions, but invisible to users.
Click farms and bot networks: Coordinated networks generate clicks and engagement signals at scale, often from real devices manipulated through malware or paid human operators.
Made-for-advertising (MFA) sites: Low-quality websites built primarily to harvest ad revenue rather than serve users. These sites often pass basic fraud filters while delivering near-zero campaign value.
The newest fraud vector is agentic AI bot traffic: Autonomous systems that mimic human browsing patterns, including scrolling, hesitation, and form interaction. These bots are designed specifically to defeat traditional pattern-based detection, and they’re already showing up in CTV and mobile environments, where verification infrastructure is less mature. To cite just one example, DoubleVerify detected 140% more CTV fraud schemes in Q1 2026 than Q1 2025, identifying more than 50 distinct bot attacks and variants in 2025 alone.
Programmatic fraud protection operates at three points in the campaign lifecycle, and you can measure a DSP’s strength by how it handles all three.
Pre-bid filtering: Before a bid is placed, the DSP screens the inventory request against blocklists, IVT signal libraries, ads.txt/sellers.json verification, and supply path metadata. Inventory that fails the screen is filtered out, and no bid is placed. Pre-bid filtering is widely considered the most effective fraud defense because it prevents wasted spend at the source.
In-flight monitoring: During campaign delivery, the platform continuously analyzes impression-level signals—device fingerprints, behavioral patterns, supply path consistency, viewability data—and dynamically adjusts buying behavior. Suspicious supply sources are throttled or suspended, and campaign budgets are reallocated to verified inventory.
Post-bid analysis and reporting: After delivery, the platform reconciles served impressions against fraud verification data, identifies invalid traffic that slipped through pre-bid filters, and generates reporting that quantifies the IVT rate. Strong post-bid analysis enables agencies to recoup wasted spend through make-good negotiations and to refine future supply path decisions.
Each layer requires both proprietary technology and third-party verification. No DSP can credibly verify its own fraud filtering rates without independent measurement, which is why integration with established verification vendors should be a baseline requirement when considering any programmatic platform.
The decline of third-party cookies and traditional identifiers has reshaped the fraud landscape in ways many media teams underestimate. As deterministic signals erode, fraud detection systems have less data to work with—and fraudsters have more room to operate.
Traditional fraud detection relies heavily on cross-site behavioral signals, device graphs, and identity-based pattern recognition to distinguish human users from sophisticated bots. When those signals weaken, detection accuracy weakens with them, and bots that previously failed cross-site consistency checks now operate in environments where those checks no longer apply.
The shift to alternative identity frameworks has introduced its own exposure. Some publisher-side IDs and probabilistic graphs are easier to spoof than legacy device IDs, particularly when verification infrastructure hasn’t caught up. Platforms that have invested in privacy-resilient measurement, contextual targeting infrastructure, and AI-based behavioral detection will hold up better as signal loss accelerates, but DSPs that depend heavily on legacy identity signals are exposed on two fronts, as addressability continues to shrink and fraud detection degrades simultaneously.
Evaluating a DSP for fraud protection means going beyond marketing claims and asking for documentation of three things: certifications, verification partnerships, and operational controls.
MRC accreditation: The Media Rating Council audits and accredits measurement methodologies, including impression counting, viewability, and invalid traffic filtration. A DSP or verification vendor with current MRC accreditation has been independently audited against published standards. Note that accreditation is product-specific—for example, a vendor may be accredited for desktop display IVT filtration, but not for CTV—so be sure to ask which specific measurements are accredited, and which are not.
IAB Tech Lab standards: Ads.txt and sellers.json are the industry’s authoritative supply chain transparency standards. Ads.txt files allow publishers to specify which sellers are authorized to represent their inventory. Sellers.json lets buyers verify the identity of every intermediary in the supply path. DSPs that crawl and enforce these standards as part of pre-bid filtering can identify and block unauthorized resellers and many forms of domain spoofing before a bid is placed.
SOC 2 Compliance: SOC 2 reports cover a platform’s security, availability, processing integrity, confidentiality, and privacy controls. While SOC 2 doesn’t directly measure fraud filtering effectiveness, it’s a baseline indicator of operational maturity, and is particularly relevant for compliance teams evaluating data handling, access controls, and incident response.
Independent verification vendors—such as DoubleVerify, Integral Ad Science (IAS), HUMAN Security, Peer39, Comscore, and Protected by Mediaocean—provide the third-party measurement that turns a DSP’s fraud claims into auditable data. The strongest DSPs offer:
Beyond certifications and partner logos, the operational details that separate strong fraud defense from weak fraud defense come down to a handful of practical questions worth asking every vendor:
That last item matters more than most agencies realize. Some platforms charge separately for pre-bid fraud blocking, which means the baseline product includes meaningfully less protection than the platform’s marketing suggests.
The platforms below represent the leading options agencies and brands evaluate when fraud protection is a primary buying criterion. Each entry covers the platform’s fraud detection methodology, brand safety controls, certification posture, and verification partnerships.
Basis is an AI-powered advertising platform built for how agencies operate, consolidating campaign planning, programmatic, social, search, direct deals, reporting, and billing into a single platform. That consolidation matters for fraud protection because brand safety controls and verification data flow through the same workflow as campaign activation—rather than living in separate dashboards that require manual reconciliation.
Fraud detection methodology: Basis combines AI-powered automated inventory cleansing with human monitoring to filter fraudulent and questionable traffic before a bid is placed. The platform’s pre-bid blocking incorporates IAB/ABC Spiders and Bots User Agent Lists, DoubleVerify data sets, ads.txt crawling, and proprietary fraud signal data. Suspicious inventory is filtered at the bid request layer, and ongoing monitoring continues throughout campaign delivery.
Brand safety controls: Basis applies pre-bid brand protection layers and filters ahead of campaign launches, with post-bid analysis and block-list application as a second layer of defense. Advertisers can configure controls at the advertiser, campaign, and placement level.
Verification partnerships: Basis integrates with Comscore, DoubleVerify, Peer39, and Protected by Mediaocean for third-party brand safety and verification. The Protected by Mediaocean integration brings AI-driven media quality, brand safety, and attention signals directly into Basis’ campaign activation workflows, enabling real-time verification inside the same interface used to plan, buy, and optimize campaigns. The integration eliminates the operational gap that exists when verification data lives outside the activation environment, as media quality controls become part of the buying decision in flight (rather than a post-campaign audit.)
Compliance posture: Basis is SOC 2 compliant, with documented controls across security, availability, and confidentiality. The platform’s commitment to supply chain transparency includes active enforcement of ads.txt and sellers.json standards.
Basis is strongest for: Agencies and brands that want fraud protection and brand safety controls integrated into a unified workflow that spans programmatic, social, search, and direct, with verification data and campaign management in the same platform.
The Trade Desk is one of the most technically capable programmatic DSPs on the market, with broad CTV inventory access and a long-standing focus on supply path transparency. Its fraud protection posture reflects that enterprise orientation.
Fraud detection methodology: The Trade Desk applies pre-bid filtering across its supply, with proprietary detection augmented by integrations with major verification vendors. The platform’s OpenPath initiative emphasizes direct publisher integrations and supply path simplification as a structural defense against fraudulent intermediaries.
Brand safety controls: Pre-bid brand suitability segments are available through IAS, DoubleVerify, and HUMAN Security. Custom blocklists and category-level controls are configurable at the campaign level.
Verification partnerships: Integrations with IAS, DoubleVerify, and HUMAN Security cover pre-bid filtering and post-bid measurement.
Limitations to weigh: The Trade Desk is a programmatic-only platform. Fraud protection within The Trade Desk only covers the programmatic portion of an agency’s media mix—search, social, and direct buys run through separate systems with separate brand safety controls. The Kokai interface and the platform’s overall complexity require dedicated ad ops resources to configure and manage fraud settings effectively, and some advanced features trigger additional fees that can compound across campaigns.
The Trade Desk is strongest for: Large enterprise agencies running high-volume programmatic programs with dedicated ad ops resources and clients whose media mix is weighted toward programmatic channels.
DV360 is Google’s enterprise programmatic platform, part of the Google Marketing Platform. Its fraud and brand safety posture benefits from Google’s scale and infrastructure—and inherits the constraints of operating inside the Google ecosystem.
Fraud detection methodology: Google’s proprietary invalid traffic filtration operates across DV360 inventory, with Active View viewability measurement integrated natively. Fraudulent and non-human traffic is filtered pre-bid and reconciled post-bid through Google’s own measurement systems.
Brand safety controls: DV360 offers content category targeting and exclusion, keyword blocklists, and inventory-level filtering. Integration with IAS, Scope3, DoubleVerify, and HUMAN Security is confirmed for pre-bid fraud filtration and brand safety verification.
Limitations to weigh: DV360 prioritizes Google-owned environments, and verification flexibility on YouTube and other Google properties is more constrained than on the open programmatic ecosystem. Access requires a Google Marketing Platform contract with practical spend thresholds that exclude smaller agencies. DV360 is also not a full agency workflow platform—paid social, direct buys, and billing run on separate systems.
DV360 is strongest for: Performance advertisers managing Google-heavy campaigns who need YouTube inventory access and have the team to manage the platform’s technical complexity.
Amazon DSP offers exclusive access to Amazon’s shopping and streaming data, with fraud protection structured around that closed ecosystem.
Fraud detection methodology: Inventory served on Amazon-owned properties—such as Prime Video, Twitch, and Fire TV—benefits from Amazon’s first-party fraud detection across logged-in user environments. Logged-in identity reduces certain fraud vectors significantly. Off-Amazon programmatic inventory bought through Amazon DSP uses third-party verification and pre-bid filtering through standard verification vendors.
Brand safety controls: Pre-bid brand suitability targeting is available, with controls configurable at the campaign level. Inventory-level filtering and exclusion lists are supported.
Verification partnerships: Amazon DSP supports integration with major third-party verification vendors for off-Amazon inventory measurement.
Limitations to weigh: Amazon DSP operates as a walled garden. Data generated within Amazon’s ecosystem stays within it, which limits cross-platform measurement and audit options. The platform is built for commerce verticals, and agencies with clients outside retail and CPG may find the platform’s core data advantage less applicable. Self-service carries flexibility, while managed service requires a $50,000 monthly minimum.
Amazon DSP is strongest for: Retail and e-commerce advertisers buying primarily within Amazon’s ecosystem who benefit from logged-in user verification and Amazon’s commerce data.
StackAdapt is a self-serve programmatic DSP with a footprint across CTV, DOOH, display, native, audio, and in-game.
Fraud detection methodology: StackAdapt applies pre-bid filtering through integrations with leading verification vendors, supplemented by proprietary supply path controls.
Brand safety controls: Pre-bid and post-bid brand safety segments are available through DoubleVerify and IAS integrations. Inventory and category-level exclusions are configurable. Unlike many DSPs that operate proprietary IVT detection layers, StackAdapt relies primarily on third-party verification vendors for fraud filtering, which can limit detection depth on emerging fraud patterns not yet covered by integrated partners.
Limitations to weigh: StackAdapt is programmatic-only—no search or social campaign management—so brand safety controls cover one portion of an agency’s media mix. The platform also lacks the agency workflow layer (billing, reconciliation, financial operations) needed to manage fraud exposure as part of a unified operational picture across all client buys.
StackAdapt is strongest for: Mid-sized agencies prioritizing programmatic execution with select third-party verification on the open web.
Viant is a CTV-focused programmatic DSP with a deterministic identity infrastructure built around its Household ID system. The platform’s fraud protection approach is tied closely to its identity-based measurement model.
Fraud detection methodology: Viant’s AI Lattice Brain analyzes campaign data for anomalies and fraudulent traffic patterns, with verification supplemented by DoubleVerify and IAS integrations across CTV and display. Its Household ID system links household-level identity to connected devices within that database, which may help strengthen verification signal density in CTV environments.
Brand safety controls: Pre-bid brand safety filtering and verification integrations are available across CTV, display, and other supported channels.
Limitations to weigh: Viant is programmatic-only, with no search, social, or direct buying capabilities. Additionally, the platform’s autonomous “Outcomes” product reduces trader control over optimization decisions, which can be a concern for agencies that want hands-on visibility into how fraud signals influence buying behavior. Viant’s smaller scale relative to larger DSPs may also raise platform-stability questions for agencies underwriting long-term enterprise commitments.
Viant is strongest for: CTV-focused advertisers prioritizing identity-based measurement and AI-driven optimization within the connected TV ecosystem.
Three patterns separate DSPs with mature fraud protection from those with marketing claims:
That last point is where the broader operational picture intersects with fraud defense. Agencies running fragmented stacks across multiple DSPs, separate social and search tools, and disconnected verification dashboards lose visibility at the seams. Fraud signals that surface in one system may never reach the team making buying decisions in another. The agencies with the cleanest fraud protection postures are typically the ones operating from unified platforms, not the ones stacking up the most verification vendor logos.
For agencies and brands evaluating DSPs on fraud protection, a structured audit framework helps separate marketing claims from operational reality. The following questions are worth asking every vendor under consideration before contract renewal:
The answers separate platforms that have built fraud protection into their operational fabric from platforms that bolt verification onto baseline product capabilities. For agencies with multi-million-dollar client portfolios, the difference is measured directly against client trust.
Basis is built for unified fraud protection across every channel an agency runs, with verification data and campaign management in the same platform.
What is ad fraud protection and how does it work in programmatic advertising? Ad fraud protection is the set of technologies and operational controls that detect and block invalid traffic, fraudulent inventory, and brand-unsafe placements across the campaign lifecycle. In programmatic environments, protection operates pre-bid (filtering bid requests against fraud signal libraries before bidding), in-flight (continuous monitoring during delivery), and post-bid (reconciling served impressions against verification data after delivery). The strongest protection combines proprietary platform detection with third-party verification from vendors like DoubleVerify, IAS, Peer39, and Protected by Mediaocean.
Which DSPs offer the strongest ad fraud protection and brand safety features in 2026? The leading DSPs for fraud protection in 2026 include Basis and The Trade Desk, as well as DV360, Amazon DSP, StackAdapt, and Viant. Basis differentiates by integrating fraud protection and brand safety controls across programmatic, social, search, and direct from a single platform—including verification partnerships with Comscore, DoubleVerify, Peer39, and Protected by Mediaocean. The Trade Desk, DV360, and Viant focus on programmatic; Amazon DSP focuses on its closed commerce ecosystem; StackAdapt focuses on self-serve programmatic on the open web.
What is the difference between ad fraud protection and brand safety? Ad fraud protection focuses on filtering invalid traffic, fraudulent inventory, and non-human engagement to ensure ads reach real audiences. Brand safety focuses on controlling the content environment ads appear in, keeping campaigns away from inappropriate, controversial or off-brand contexts. The two functions overlap operationally (most verification vendors offer both) but address different risks: fraud protection defends spend, while brand safety defends reputation.
How do MRC accreditation and IAB Tech Lab standards protect against ad fraud? MRC accreditation independently audits a platform’s measurement methodologies—including impression counting, viewability, and invalid traffic filtration—against published standards. A DSP or verification vendor with current MRC accreditation has had its specific measurements independently validated. IAB Tech Lab standards like ads.txt and sellers.json create supply chain transparency by letting publishers declare authorized sellers and letting buyers verify every intermediary in the supply path. Together, MRC accreditation and IAB Tech Lab enforcement provide independent validation that a platform’s fraud filtering does what it claims to do.
What types of invalid traffic does ad fraud protection software detect and block? Ad fraud protection detects two categories of invalid traffic. General Invalid Traffic (GIVT) includes known bots, spiders, data center traffic, and pre-listed non-human user agents identifiable through routine filtration. Sophisticated Invalid Traffic (SIVT) includes hijacked devices, falsified location signals, manipulated measurement, and bots designed to mimic human behavior—including the newest generation of agentic AI bots that simulate scrolling, hesitation, and form interaction. Detecting SIVT requires advanced behavioral analytics, machine learning, and human review.
How can advertisers measure whether their DSP’s ad fraud protection is actually working? Effective measurement requires independent third-party verification rather than relying on the DSP’s self-reported data. Verification vendors—DoubleVerify, IAS, HUMAN, Peer39, Protected by Mediaocean—measure IVT rates, viewability, and brand safety performance independently of the DSP, providing an audit layer advertisers can use to validate platform claims. Strong fraud protection postures publish IVT rates, support pre-bid integration with multiple verification vendors, and surface verification data inside the same interface used for campaign management.
How does third-party cookie deprecation increase ad fraud exposure? Cookie deprecation weakens the deterministic signals fraud detection systems rely on to distinguish human users from sophisticated bots—for example, cross-site behavioral patterns, device graphs, and identity-based pattern recognition. As those signals erode, detection accuracy degrades. Bots that previously failed cross-site consistency checks now operate in environments where those checks don’t apply, and CTV and mobile in-app environments show higher IVT rates as a result. Platforms that have invested in privacy-resilient measurement and AI-based behavioral detection are better positioned to maintain detection accuracy as signal loss accelerates.
Can a DSP’s built-in fraud detection replace dedicated verification tools? No DSP can credibly verify its own fraud filtering rates without independent measurement. Built-in fraud detection is the first line of defense, but third-party verification from vendors like DoubleVerify, IAS, HUMAN, Peer39, and Protected by Mediaocean provides the independent audit layer that lets advertisers validate platform claims. The strongest fraud protection postures combine robust DSP-native detection with deeply integrated third-party verification, not just one or the other.
What questions should agencies ask DSP vendors about fraud protection before contract renewal? The questions that matter most include: Which specific measurements have current MRC accreditation? Which verification vendors are integrated pre-bid versus post-bid? Are pre-bid blocking controls included in base pricing or do they trigger additional fees? Does the platform actively crawl and enforce ads.txt and sellers.json? Are blocklists configurable at the advertiser and campaign levels? Is the platform SOC 2 compliant? These questions separate platforms with operational fraud protection from platforms with marketing claims.