At the start of every year, digital marketing teams around the world draw up checklists of short- to medium-term challenges they must address in order to meet the moment successfully. The 2023 edition probably includes big-ticket action items like:
Of course, there are many moving targets on this list—the landscape changes, and new priorities emerge. However, there are certain challenges that remain ever-present, and those always-on initiatives are essential to driving brand awareness and customer acquisition.
Maximizing return on investment (ROI) from programmatic ad spend is one such example. It’s an enterprise that’s simultaneously crucial (given the ubiquity of the programmatic market) and complex (given the pace of evolution across the digital ecosystem).
Programmatic ad spending remains strong in the US, despite—or perhaps because of—macroeconomic headwinds. Indeed, the flexibility afforded by programmatic makes it a safer bet in times of uncertainty, as advertisers can quickly shift budgets and optimize spend toward channels, platforms, or formats that are delivering high returns without the headache of navigating cancellation terms. The medium is so pervasive today that it encompasses over 90% of US digital display ad spending and its share is expected to increase incrementally through 2023 and 2024. Programmatic also continues to gain traction in maturing channels including connected TV (CTV), digital out-of-home (DOOH), and podcasting, as well as more traditional channels like linear TV (more on all that later). Then there’s the added dynamics of retail media networks, around which programmatic advertisers are swirling with interest thanks to their treasure trove of first-party consumer data and closed-loop attribution.
Put it all together and it becomes clear that maximizing ROI on programmatic ad spend is a huge undertaking. It requires connecting the dots between different tech players in the supply chain, different point solutions, different pricing methodologies, and unstandardized metrics—that’s a lot of moving parts! Here, we’ll break down some of the complexities involved in driving programmatic performance, including definitions and formulas, important trends across the current programmatic landscape, and tactics marketers can implement to capitalize on programmatic’s potential.
Ready? Let’s dive in.
Programmatic advertising ROI is exactly what it sounds like: it refers to the return on investment a company makes from its programmatic media buying initiatives. It can be calculated to show the payoff on programmatic spending holistically or it can be broken down in more granular terms—be it by channel (CTV, audio, native, etc.), device (smartphone, desktop, TV), ad type (video, non-video), campaign, creative, or even demographic and geographic data.
It’s pretty simple, really. And, also, really important to measure.
At a time when marketers are facing mounting pressure internally and externally—from boardrooms to justify spending and from consumers to deliver seamless personalized advertising experiences—it’s more critical than ever for marketing organizations to accurately track performance and identify where they are most effective. Embracing the use of ROI as a discipline can help build more robust and agile brands that are set up to cultivate meaningful long-term relationships with their audience. It’s marketing 101 in 2023.
Calculating ROI is done through a straightforward formula: subtracting the initial investment from its final value, dividing the resulting number by the cost of the investment, and finally, multiplying it by 100.
For example, let’s say a company spent $250k on a social campaign that generated $1 million in revenue. The number crunching would look like this:
Net income ($1 million – $250k = $750k) / Cost of investment ($250k) = 3. x 100 = 300%.
Obviously, the goal with any ROI-based project is to end up with as high a positive number as possible, but success is truly in the eye of the beholder. What constitutes a triumph depends on all manner of factors. Some companies also establish a threshold for ROI that considers risk tolerance and the cost of human resources, below which they may be hesitant to make investments.
It’s also worth noting that ROI doesn’t necessarily have to be financial in nature. Once marketing organizations have set up ways to track the dollar value of programmatic activities, there are also benefits to factoring softer metrics into the equation—think engagement on social media, ad impressions, new subscribers, video views, or website sessions. They all contribute to building brand awareness and establishing an active presence in the minds of consumers. When managed properly, these KPIs can help reduce the need for paid media in the first place, thus essentially driving higher ROI in the process.
Blink and you’ll miss something significant in the world of programmatic, such is the speed of its evolution and growth. Right now, programmatic accounts for 91.1% of total US digital ad spending, with marketers stateside forecast to spend $21.49 billion more on programmatic display ads than they did last year (a 16.9% jump). For context, that’s more than double the increase predicted in Canada, China, France, Germany, and the UK combined.
But where’s all that money going? How does it break down? And how is it being served? Let’s explore:
This is easier said than done, especially when a given campaign can span several channels and platforms that report against independent metrics. Brands today are using an average of 18 disparate data sources in their campaigns (up from 15 in 2022). And incredibly, only 14% of marketing organizations claim to have a complete 360-degree view of their customer base. Fourteen percent! Operating through disconnected silos leaves you susceptible to all kinds of issues from an operational and legal standpoint. It's also a drain on resources with media planners forced to spend a disproportionate amount of time trying to wrangle their data into a cohesive story. Gaining unfiltered visibility into your data at scale is truly transformative in the modern advertising climate—and maximally effective, consumer-centric advertising (and consequently better ROI) is next to impossible without it.
Once you have your data ducks in a row (or if they are already lined up nicely), be sure to actually use your analytics to understand your baseline potential and develop strategic hypotheses that can inform campaign execution. Learn as much as you can. Play with different scenarios. If your data reveals distinct clusters of consumers who derive different value and benefits from associating with your brand, apply that knowledge to the stories you’re telling across your programmatic media—that’s data-driven marketing. Then it’s all about testing. Programmatic makes it easy to swap out concepts. Experiment with copy, visuals, links, whatever, and narrow down what your audience is responding to. If there’s any doubt whether something is working, simply turn it off and observe the effects.
Regardless of how good your data is, how streamlined your measurement is, or how robust your targeting is, nothing can mitigate the shortcomings of ads displaying lackluster creative. Given how much digital media people consume on a daily basis (8 hours and 23 minutes’ worth, to be precise), simply “turning up” and exposing your brand or product is not enough. Your marketing must forge emotional connections with consumers and set you apart from all the noise. That means tailoring your messaging and design and creating specific stories for specific personas. It also calls for more collaborative ways of working between your media folks and creative teams—get together to discuss the finer details of audience segmentation and dive into the successes and failures of past performance. Your ads will become all the richer as a result.
Sure, programmatic is automation in action. So, by definition, if you’re executing media buys programmatically, you’re already actively embracing automation. But fully leveraging the potential of advertising automation extends to what happens behind the scenes, aka the platform(s) you use to activate and measure your campaigns. Programmatic is a complex beast, so it’s vital to utilize technology that simplifies some of the work for you and helps you stay nimble—be that by consolidating your workflow, using machine learning to optimize bid adjustments, or centralizing performance data. Those who do so can save time, cut costs, and focus on what matters: strategy and outcomes.
Time commitments aside, there are no drawbacks to regularly auditing your programmatic supply path. As the market collectively adjusts for a focus on privacy and the end of third-party cookies, advertisers and publishers are cutting out unnecessary intermediaries and opting out of relationships that don’t offer clear value as part of this sea change. New laws have also come into play requiring a more thorough understanding of who has access to consumer data throughout the bid stream, meaning there is no better time to conduct a review of your partners. A violation around data today can have serious repercussions—just ask Sephora and Kochava.
It’s a new day for marketers, and industry-wide transformations are reshaping how brands connect with consumers. Programmatic is just one cog in that machine, but it’s a powerful and dynamic one. Orchestrating performance across programmatic channels relies on a host of capabilities and processes, but for those willing to invest in them, better campaign ROI awaits.
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Looking for more programmatic content? You’re in the right place. We’ve got the top seven programmatic advertising trends to know for 2023. We’ve got everything you need to know about programmatic guaranteed. And we’ve also got a handy quiz that helps you identify which programmatic buying method is right for your organization (including all-in on in-housing, a hybrid approach, or outsourcing).
“It was love at third sight...”
“I want to be the third to thank you for...”
“Third impressions are everything...”
Third is...okay. But first? First is what we strive for—from the Olympics to the weekly trivia night at your local dive bar. Why should sourcing consumer data be any different?
Since the invention of the cookie in 1994, digital advertisers have grown dependent on third-party cookies for techniques like audience targeting, retargeting, geo-based retargeting, cross-device targeting and tracking, frequency capping, and attribution. But third-party cookies are on their way out, with regulators, consumers, and tech providers alike pushing for advertising methods that prioritize consumer privacy.
And yes, Google may have delayed third-party cookie deprecation in Chrome until the second half of 2024. But regulators and consumer behavior have made it crystal clear that businesses need to prioritize consumer privacy now: 2022 has been a landmark year for data privacy-focused regulation, and regulators are cracking down like never before: just ask Sephora, BNSF Railway Co., or TikTok. With 86% of US consumers saying that data privacy is a growing concern for them, it’s of critical importance for advertisers not to procrastinate on incorporating alternative targeting tactics into their marketing strategies.
While brands and agencies will need to adopt a mix of solutions to move beyond third-party cookies, first-party data will undeniably be one of the main players helping advertisers ensure they are showing messages to the right people, in the right places, at the right times. Below, we’ll outline a few examples of how advertisers can squeeze every last drop of value out of their first-party data. But first, let’s take a look at what makes first-party data a winner in a world that prioritizes consumer privacy:
First things first: the fact that users freely give their first-party data to brands is perhaps its biggest strength. As consumers have become more digitally savvy, they’ve come to demand transparency into how their personal data is used by the businesses with which they interact. This is particularly true of younger generations like millennials and Gen Z: 91% of Gen Z, for example, feel that being able to find out which companies are storing their personal data is a basic human right.
In order to build trusted relationships with these consumers, brands need to be able to provide that information in an accurate and organized way. While the chain of middlemen involved in third-party data collection and storage makes this difficult, it's easier to communicate information about personalization and targeting efforts powered by first-party data (so long as your data house is in order, of course). When it comes to transparency and privacy, first-party data will always come in first.
With almost 90% of consumers likely to enjoy personalized offers, personalization is quickly becoming a key differentiator for brands. And in contrast to third-party data, which is aggregated from a variety of different sources and consequently suffers from low reliability and accuracy, first-party data is highly accurate because it comes directly from users. That means that personalization and targeting efforts fueled by first-party data are more likely to resonate. And from a quality perspective, first-party data can’t be beat: each data point comes with the promise of someone who has demonstrated a clear interest in your brand’s offerings.
Even more, quality personalization efforts can encourage consumers to share even more of their information directly with brands: in one survey from Merkle, 90% of respondents expressed willingness to share more personal information after having a positive experience with a brand. Talk about a positive feedback loop!
Despite its clear benefits, one of the main concerns advertisers have when it comes to first-party data is scalability. While the proliferation of providers makes it easy for advertisers to acquire just about all the third-party consumer data as they are willing to pay for, first-party data is not quite as effortless to gather. That means it's important for advertisers to find ways to amplify the first-party data they do have access to.
To that end, let’s explore a few of the ways advertisers can use solutions like automation and strategic partnerships to boost their first-party data:
If you’re going to leverage your first-party data, you’ve first got to have first-party data. That means investing in a customer relationship management (CRM) platform, which collects and stores information about customers and prospects, from email addresses and phone numbers to information about all your interactions with a certain individual. Think of a CRM as a hub for first-party data, and a reference for making future interactions with customers and prospects as personalized as possible.
The question now becomes how to actually leverage that data to create targetable audiences. After all, the people whose information you store in your CRM will have already expressed interest in your product or brand and consented to your use of their information, so having those addressable segments is likely to be highly effective (and valuable).
Many marketers target their CRM data by investing in a platform or vendor that’s separate from their advertising platform. They send their CRM data to the vendor, the vendor processes the data and sends it back to the adtech platform the marketer is using, and the platform then re-processes the data and provides targetable segments to the advertiser. But because there are so many steps and parties involved in this process, it often takes hours or even several days before advertisers can use those audiences to target.
Of course, many marketers will want (or even need) to use their first-party data more quickly. For example, airlines that collect first-party data when potential customers begin the checkout process need the ability to retarget users who abandon their carts before purchasing a ticket. Airline brands know that users are not likely to wait a week or more before deciding which flight and airline to go with, so waiting several days to receive targetable audience segments from a separate CRM platform could result in missed opportunities and lost revenue. And though it’s easy enough to retarget these groups today by using third-party cookies, that won’t be the case for much longer.
For those marketers who want or need to access and use their data more quickly, it makes sense to use a platform with built-in integrations that allow direct uploading of CRM data to streamline the process. By uploading CRM data directly into a platform, advertisers can access targetable audiences within hours instead of days. They’ll also enjoy the benefit of having a single source of support, which means one less platform to learn and one less vendor to include in billing systems and to account for when planning campaign budgets.
Just because someone tells you their name, email address, and location doesn’t mean you have a good understanding of who they really are. Likewise, just because you’ve collected some first-party data from your consumer base doesn’t mean you understand how to continue building strong relationships with them. For this reason, audience profiling is one of the most important ways advertisers can leverage first-party data.
Via strategic data partnerships and advertising automation, marketers can use first-party data as a starting point to create detailed user profiles informed by consumer demographics, interests, and buying behavior. Advertisers can then create more personalized marketing strategies based on these profiles. How does it work? We’ll use Basis’ integration with TransUnion Audience Platform (TAP) as an example here:
TAP’s audience pool, created from data points sourced from a combination of public, private, self-reported, and modeled data, covers 99% of the US population. When advertisers upload their first-party data into Basis, the platform can match that information to TAP’s vast data pool of consumers. Machine learning technology can then enhance that first-party data with more data points across categories like demographic, financial, automotive, employment, political, and purchases and interests. The result? In-depth consumer profiles that marketers can use to target and inform personalized messaging.
While audience profiling helps marketers better understand their current and past consumers, look-a-like modeling can help them tap into new audience pools. And while marketers can also leverage third- or second-party data for look-a-like modeling efforts, first-party data will provide the most accurate results. Let’s use Basis’ integration with TAP again as an example:
Once TAP has created those robust audience profiles with a brand’s first-party data, machine learning technology can identify other TAP-identified audiences that are similar to those consumer profiles. This addresses the concern of first-party scalability by creating large-scale audiences out of a smaller amount of first-party data. All marketers have to do is provide a seed audience via their CRM—or place a TAP pixel on their site, which will collect its own first-party data—and TAP’s machine learning technology can amplify it with additional audience pools.
Another powerful way to leverage your first-party data is to use it in tandem with contextual. Contextual targeting is having a moment, thanks to the fact that it’s especially privacy compliant, serving ads based on the content of digital environments instead of user IDs.
And while contextual is an effective strategy on its own, coupling it with first-party data can create an even more personalized consumer experience. How does it work? Let’s use Basis’ partnership with Peer39 as an example:
To leverage first-party contextual targeting in Basis, a brand can opt-in to automatically deliver campaign data like impressions, clicks, conversions, and media cost by URL to Peer39. Peer39 then analyzes the brand’s media distribution and performance across contextual signals, pulling insights about where audiences are spending time and consuming content. Based on those insights, Basis creates customized contextual targeting categories that are optimized to reach target audiences. By creating new categories with which to target, this technique expands the impact of a brand’s first-party data.
While privacy-compliant advertising hasn’t become the status quo quite yet, that's the direction our industry is hurtling towards. Come the loss of third-party cookies in Chrome, it will be critical to have robust methods in place for making the most of your first-party data—but marketers who start testing those methods now will gain a significant competitive advantage. Let the procrastinators come in third: early adopters are going for gold.
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First-party data isn’t the only tool advertisers need in their privacy toolkit. Check out Basis’ suite of privacy-friendly advertising solutions to see how we're giving our users a well-rounded set of solutions for privacy in digital advertising.
Welcome to Scout! Each week, our team tracks down the best digital marketing articles, POVs, and reports—so you don't have to. Here’s what to read from the week of 3/3/23 - 3/9/23 to stay ahead of the curve:
Please note: Our Scouts will be off duty next week. Check back on 3/23 for the next edition!
In the wake of International Women’s Day (IWD), many brands have come up against accusations—and very legitimate ones, we might add—of inauthenticity in their social activism-focused campaigns. This piece from AdWeek digs into what brands are doing wrong and provides guidance on how marketers can observe events like IWD meaningfully.
Attending SXSW in Austin this year? Your agenda of BBQ joints to check out will pair nicely with this list of panels and presentations to consider attending! From data privacy, to activism and equity, to the turbulent world of social, you're sure to level up your marketing game by attending just a few of these. See ya there!
With ChatGPT now available via API, what started out as a fun distraction across the globe is now being leveraged to empower tech companies like Snapchat, Microsoft, and Quizlet. One step closer to the singularity... (kidding!)
The California Privacy Rights Acts (CPRA) is considered by many to be the most comprehensive consumer privacy regulation in the US. But with a budget of just $10 million, how will the CPPA (the enforcement agency created by CPRA) regulate giants like Meta, who spent over $19 million on lobbying in 2022? Plus: California isn’t the only state grappling with advertising regulation-related conflicts...
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2022 was a record-breaking year for political digital ad spend—all without a Presidential race at the top of the ticket. In fact, political advertisers poured so much money into campaigns that they essentially propped up the otherwise sluggish US ad market. But how do political campaigns come together and operate working towards the ultimate “One Day Sale” known as Election Day? What were the principles of successful political ad strategies during the 2022 midterms? And how do those strategies apply outside the campaign trail and into the worlds of B2C and B2B?
In this webinar, Basis Technologies’ Candidates & Causes VPs Jaime Vasil and Brian Wohlert explore these questions and more. Drawing on decades of experience working with political clients (and helping them win on election day), they open up the political marketing playbook to share the critical lessons it offers for marketers across other industries.
One of the biggest global annual advertising experiences is right around the corner! South by Southwest (SXSW) is certain to be packed full of fascinating conversations and critical insights for digital marketers. If you’re planning your trip and feeling overwhelmed by the long list of events and offerings, this should help: We’ve picked out seven panels and presentations that you won’t want to miss. With topics spanning from data privacy, to activism and equity, to the turbulent world of social, you’ll level up your marketing prowess by attending just a few of these.
Without further ado, here are our favorites:
It only makes sense to kick things off with a topic that's on the minds of advertisers everywhere—and one that it’s critical for marketers to get ahead of. Not only will 2023 see a new crop of state-level data privacy laws take hold (hello CPRA), but a majority of advertisers are still highly dependent on third-party cookies. And with Google set to deprecate cookies in its Chrome browser next year, many advertisers are wondering how to forge ahead. In this presentation, Basis Technologies’ own Noor Naseer will break down what advertisers need to know, and detail how they can prepare for a privacy-centric future.
Advertising? In this economy? While some brands may choose to cut marketing budgets during economic upheaval, those same brands may (ironically) end up spending more when the economy recovers as they try to regain market share. As such, it’s up to marketers to communicate the value of maintaining share of voice, even during turbulent times, to decision-makers. In this presentation, agency veteran Nancy Hill will share strategies for marketers looking to defend their budgets.
Brands are at an interesting turning point when it comes to taking a stand on social issues. While “checking the box” may have been somewhat acceptable in the 2010s, consumers have now grown weary of brand inauthenticity. Gen Z, in particular, has a fine-tuned radar for detecting BS and are more than happy to call it out on social media when they see it. Here, social justice organizers working both within and outside of agencies will discuss how brands can go beyond traditional corporate responsibility.
Digital advertising has a CO2 problem. This session will cover why advertisers should care about their impact on the environment, and demonstrate how they can significantly reduce their carbon emissions each year without upending the reach or efficiency of their advertising. Of course, advertisers can’t solve the climate crisis on their own—and this presentation will touch on how the advertising system will need to change as well. Real talk: We'd attend this presentation solely because it’s led by the inventor of the ad exchange, Brian O’Kelley, but we’re also curious to hear about his solutions to one of the biggest problems facing advertisers (and, you know, humanity).
Despite the diversity, equity, and inclusion work that many brands have prioritized in recent years, the industry has yet to achieve equal pay. This panel will specifically explore the pay gap between white and BIPOC influencers, which currently sits at a shameful 29%. Panel experts will not only explore the factors perpetuating this pay gap and ideas for how the advertising industry can close it, but also other DEI issues such as algorithmic bias and tokenism in influencer marketing.
TikTok really is changing everything: from the music industry, to how Gen Z searches online, to the marketing funnel. Consumers are no longer consistently moving from the top of the funnel to the bottom, but are instead shifting in and out of the funnel more fluidly. In this presentation, TikTok’s Rachael Ryan and Material’s Jeff Stone will explore how the platform has changed the marketing paradigm and offer tips for how marketers can adjust their strategies accordingly.
It’s been a turbulent couple of years for social media. The very nature of the channel makes it rife for brand safety concerns, not to mention additional considerations that have cropped up lately around specific platforms (ahem, Twitter). This panel will explore how advertisers can actually lean into that risk to create a presence that stands out. It sounds...risky, we know! But don’t worry, the presenters also plan to cover how brands should react when a calculated risk has unsavory consequences.
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Fascinating stuff, right? Happy learning—and please do stop by “Will Data Privacy Kill Advertising?” on March 13th, hosted by Basis Technologies’ very own industry veteran and thought leader, Noor Naseer, and say hello!
Before beginning their relationship with Basis in June 2022, the international award-winning Nue Vodka brand owned and distilled by Southwest Spirits was positioning itself to become one of the most well-known vodka brands in the Dallas Fort Worth area. After establishing themselves as a premium, yet affordable vodka in DFW, this client's subsequent goal was to gain market share in the vodka category in markets where there was a greater need for brand awareness.
Basis’ Managed Services team first conducted thorough market and consumer research to validate assumptions about spirits sales, consumption frequency among U.S. adults, and ad spend patterns among alcohol brands. Basis then provided Nue Vodka with an awareness strategy designed to help the brand reach its growth goals and paired it with an analysis comparing its sales in different markets. Ultimately, Basis’ digital media execution correlated with 27% higher average daily sales. In response to the positive business results, the vodka brand doubled its ad spend.
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Welcome to Scout! Each week, our team tracks down the best digital marketing articles, POVs, and reports—so you don't have to. Here’s what to read from the week of 2/24/23– 3/2/23 to stay ahead of the curve:
Despite the economic uncertainty and high inflation that have defined the last few years, many consumers have been “spending their way through it.” But now, with extra savings from the pandemic dwindling and household debt rising, the tide may be turning. A key takeaway? Brands “can no longer assume that consumers will have the ability or the will to accept higher prices.”
TikTok is a trendsetting app (The latest trend? #Deinfluencing). And with US adults spending more and more time with it, platforms like YouTube and Netflix are losing ground. Learn more about what—and who—is driving TikTok’s growth and what it means for marketers in this report.
There’s a lot to keep track of these days in the world of artificial intelligence! This article is a good one to bookmark (and regularly check back on) for updates on how brands are taking advantage of the newest AI technologies.
Digital audio is everywhere—and offers seemingly endless opportunities to advertisers. But how can marketers effectively harness its power? This guide covers the latest trends, insights, and research so advertisers can make the most of this unique opportunity to connect with consumers.
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To navigate the growing complexity of digital marketing and the rising importance of first-party data, marketers are deepening their tech stacks. In particular, more brands are considering investing in a customer data platform, or CDP.
In this month's episode, Cory Munchbach, CEO of CDP company BlueConic, breaks down the use cases for a CDP, how to identify if you're well-positioned to leverage one, and best practices to help marketers reap the rewards of this popular but complex tool.
Noor Naseer: Hey listeners. Right before we get into this episode, a quick mention. I've referred to our guest Cory Munchbach as the president and COO of her company, but she has since been promoted to CEO. Even if you don't know Cory, when you listen to our conversation, you will immediately get a sense of why this promotion is so well deserved. A big congrats to her from AdTech Unfiltered. And with that, let's get into the intro.
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Noor Naseer: More brands and agencies are doing exploration into how they can be consumer privacy-centric while simultaneously collecting and segmenting first-party data sets. Even though we've somehow escaped the sunsetting of third-party cookies yet another year, the well of precise advertising and marketing data is expected to dry up very soon.
Hey everyone, I'm Noor Naseer, host of AdTech Unfiltered, and today we'll be looking at a tech stack opportunity that more brands are turning towards: CDPs, or customer data platforms. To get a breakdown on what a CDP is, what it's for, how it's being used, and who's in the best position to use one, we speak with Cory Munchbach, President and Chief Operating Officer at CDP company BlueConic. While CDPs are not a turnkey solution, like so many other ad solutions that advertisers are familiar with, they do offer a strategic opportunity to hone in on first-party data collection that goes well beyond the cookie-focused options of today. And time is of the essence for advertisers to explore new avenues. This episode on CDPs with guest Cory Munchbach starts right now.
We're moving into this cookieless future, and supposedly one of these future opportunities that advertisers can embark on is a CDP. So, there's a lot of curiosity. There's also a lot of confusion. Let me ask you a baseline question. What is a CDP?
Cory Munchbach: Great, let's start. I love that intro. Curiosity and confusion are probably the best two descriptors of this category. Interestingly enough, I've been doing a lot of thinking about this lately, too, which is that, in some ways, there's never been more need for what a CDP does. And I'll answer that question in just a second. But at the same time, the category continues to be noisy, and it's sort of confusing for everybody, and they're trying to figure out how things fit. And that's always been a little bit of a tension with this particular category.
What a CDP does, at its most fundamental level, is give largely non-technical users, I should say, people in the business, a database of first-party, individual customer-level data that is designed to be used in the context of customer experience, of marketing, of digital product; essentially, in a broader base activation set, lots of words in there that you could sort of unpack. I think part of the challenge is that a lot of the things that I just mentioned mean something a little bit different to each company—how it's structured, how they think about activation and customer experience. But all of it just to say that before CDPs, you had a lot of channel-specific systems, or you had a lot of back-end IT data systems. But there wasn't something that served as the natural translation between the richness of the first-party data that you need to drive your business, and the places where that data would inform consumer interaction. CDP exists to be that sort of point in the middle of unification and activation for the customer, again, largely focused on those business sort of non-technical types of users in an organization.
NN: So it sounds like there's this very exciting opportunity that CDP's can bring to the table. But along with that excitement comes more labor and complexity, to actually operate all the opportunities that could be born from a CDP. So you also mentioned first-party data, which is really at the center of the utilization of many data platforms, including a CDP.
I think many of the clients that I have been entertaining conversations with and maybe just general marketers at large, will think about first-party data in relation to a CRM system or doing a CRM upload so that you can do some sort of matching and find people online. That might be the kind of more foundational exposure that they have to what first-party data can bring to the table. I'm curious, as far as from your perspective, Cory, how have you started to help clients who are curious about the CDP space to understand what some of the prerequisites they need to bring as far as types of data so that they can take advantage of what a CDP can offer.
CM: Yeah, this is a great question. And I'm going to unpack a couple pieces of it because I think this is also again, where some of the difficulty navigating this space comes into play. I've been, as have you, an observer of marketing technology for a long time outside of my sort of current context. And one of the areas where I continually find buyers or users, however you want to think about it, sort of underprepared, is being specific about the use cases that they are bringing to a given technology. And that could be a CDP. But it could be any number of other tools as well.
What I mean by that is segmentation or personalization isn't a use case—it’s a capability. It can take a nearly infinite number of forms, depending on who your customer is, what your business does, who owns that initiative, what other technology you have. So, admittedly, part of the confusion comes from the fact that there's a lot of variables involved in a technology-enabled kind of conversation; again, not just CDPs.
The first part of where you start from is really nothing to do with technology. What are some of the issues or opportunities that you see in your organization that you have today? And sort of divorce that entirely from the tech. So that can be things like we'd love to be more individualized in our marketing, but we don't have the data, or we don't have access to the data, or we don't have access to the data at the sort of velocity that we need to have it in order to use it. Or it could be that we don't have access to the data in a way that's scalable, because it costs too much every time, and we need to pull the data.
I just gave you in a couple of seconds, a number of examples that would largely be bucketed into a data access issue. But of course, which one or combination is going to mean something quite different for what might be the right solution to that problem. And so again, being really religious about how you are defining your problems and opportunities that you're trying to solve for has to be the place that folks start, rather than from the technology that you think is going to solve it.
That's my first call to action. I beat the use case drum a lot. And it also directly relates to the question you asked around preparedness. You are going to be frustrated if you select a technology and then start to retrofit use cases to it. Because even among the CDP category, they're not all identical. We all do different things and have maybe places that we over index or under index in terms of strengths. So if you try to figure out after the fact, the way that the technology is going to bring value to the business, it's going to be really frustrating. Then it also starts to answer the second part of that question, which is around data readiness.
The way I think about it is, particularly EP buyers, what's the data that is closest to your customer, and to the way that your organization drives revenue. So, that can be transactional data. If you're a retailer, that's really important. If you're a publisher, it's subscription-based data; where that lives already. Your “how you get it” is going to vary. But you want to try to get to that highest value data upfront, and prioritize it around what do we know about you and how it potentially impacts the way we drive revenue for the business. That's also at least somewhat of a guard against the fact that a lot of companies have the tendency to just say, well, let's bring all the data in and figure out what we're going to do with it later. Not only is that operationally inefficient, it's also really increasingly problematic when you think about privacy concerns and wanting to move to a better data set that is actually usable, but without kind of needing to boil the ocean.
So that's where the biggest bottlenecks are. Most companies are far less ready to embark on these initiatives as they think they are. And it's largely because of the lack of time spent thinking specifically about the use cases and how that relates to the data they should prioritize and what that roadmap looks like. So it's an awesome question, and one that really, I think, shapes a lot of the success or frustration that can come with some of these implementations and getting value over time.
NN: I think there's a lot of legs to that question. It can just basically vein-off in many directions. And it has to be answered in that way. Right? It's not one question. It's kind of 10 questions baked into one as far as all the unpacking that needs to occur. This data readiness piece is something that requires a lot of planning and preparation on the part of the brand in order to figure out how they want to take advantage of a solution like a CDP. I would say that we as an industry in the adtech or martech space have become really acclimated to not always doing that pre-work. Instead, we'd like a solution to show up. And then we want to backpedal our way into that solution working for us so we can quickly propose that to higher-ups who want to make sure that we're hitting some sort of marketing or advertising business goals, and you want it to be turnkey, too.
I think that's another thing about CDP's. It's not turnkey. It's this massive cruise ship or something of substantial size, that's going to take a lot of time and energy to figure out how to make it work for the custom needs of your business and your marketing goals. With that, I wanted to ask you another question that was correlated with your past answer, which is doing the shepherding of the data, doing the wrangling of the data. You said that, probably you don't want to have a big mess of information, and then just say, “Let's move on and figure it out after the fact”. If I need to do that, as part of my preparation to get ready, and I approach you and say, “Look, I'd like to get into a relationship with a CDP. But my data is very messy right now, I don't have a clear vision on what to do next.” How would you direct me so I can get myself into a place where my ducks are in a row, as far as getting that data ready to be entered into a CDP?
CM: Yeah, I mean, first of all, I would love more people to start from that place, the problem is often that the assumption that the data is all set. And so just sort of taking that for granted and not actually realizing that it's quite messy, and then having to sort of fold that into the process. Because to be clear, that is a big part of the journey right out of the gate with CDP expectation. In fact, the data is going to need some normalization, some cleansing, what have you, it's when we don't have enough understanding of how messy it is or what the state of it is in advance, nor does the potential customer, that it ends up being really, really sloppy.
We have many examples where we've gotten the data, often from old ERP-type of systems, like things that nobody's really kept a good eye on, or certainly not the teams that we're working with, when the data comes in. And they'll say, “Well, there's something wrong with the data”. And it's like, “Yes, because the source system is wrong.” And now for the first time, potentially, in years, you have visibility into the fact that that data has been being managed poorly, or what have you. And on the one hand, there are some customers who are psyched because they have visibility, and now they can fix it. For others, it's actually really frustrating, like the “Ostrich Effect,” right? Where it's like, well, we didn't know it was a problem. Therefore, it wasn't a problem. But now that we've seen it and realize it, we actually have to do something about it.
So you know, you have kind of mixed reactions, it can be sort of emotional, in terms of how to get started. Again, we expect that there's going to need to be data that gets normalized or cleansed or tidied up, what have you. What is necessary to get that right. Technically speaking, that's not necessarily a huge issue. It's more about the level of effort. Certain data is more complex. If it needs to be cleansed in a source system that is owned by it, you need to get on that queue, like there might be some operational considerations. And that's when we just have the conversation about what is, from a business perspective, the top priority here. Is the top priority to show that you can have value out of a CDP in about three months or so, where you're stuck with a couple of use cases? Cool, then maybe we should focus on something that's perhaps a little bit smaller. While we wait for some of the other data situations, we can run these things in parallel, other customers, the priority, and there's total recognition that it's maybe going to take a little bit longer. For other customers, the priority is that they want to get the data first. And it's okay to not have some of those like quicker activation wins.
NN: One of many things you just mentioned was that sometimes the data, maybe it's a little dusty, it needs to be cleaned up, and that there could be multiple sources from which it's coming. And maybe there are some antiquated systems in which that data is being stored currently. And that there's going to be this evaluation process. What does that evaluation process look like for you? When somebody who is showing up two weeks before it's Tax Day, and they have just like a mess of papers flying around? They're like, “Listen, I don't know how to do this. You're the expert who can help me figure this out.” I feel like that's where a CDP like BlueConic might step in and would need to really consult an organization that's in a messy place. And you mentioned, ERPs as an example of a potentially antiquated system. What do you want an advertiser or marketer to bring to you as part of that consultation process to make sure that you are in fact uncovering all the data sources that could be valuable to bring into a CDP?
CM: It's a fabulous question and quite frankly, it's pretty simple. On the one hand, we need the list of use cases and the way they're thinking about how you're going to use the data. And then on the other hand, any sort of sample data file that we can look at. So we have our amazing team who's been doing this for a long time working with hundreds of customers. They know exactly what they're looking for when they look at a 100-row sample that you pull from your CRM or what have you. And they will ask questions about the data structure, where it's coming from, the type of integration that we're going to use to bring the data in, how we want to think about storing it. All these kinds of questions are totally standard, every customer's answer to them is going to vary. That's where the sort of the bespoke aspect of it comes into play. But again, it's not really rocket science.
Typically, data can take a fairly finite number of forms. And it's just a question of being able to see it. So if we can see even a couple rows, a couple examples, coming from different systems and have that to look at and then ask questions about, like, let's make some choices about what that should look like and, again, why you're going to use it in certain ways. One of the gaps is that I think a lot more education can be done, and we can play a role in that. But the format and structure of data is directly related to the ways that it can be used. There's a reason you can't do anything with data and Google Analytics. It's how it's structured. It's how it's collected. Right? That is an architectural question, as much as it is an interface one.
So there are choices to be made about how you're going to use the data that needs to be answered upfront. And so it is just a lot of questions. But if we understand how you want to use the data, those use-cases, and then we have some sample files from the places that are going to be coming in, it's really not overly complex after that, to get to a sort of a place where okay, this is what we're going to need, this is the kind of path forward and how that will look to make sure we can get the data into the system.
NN: So you also mentioned use-cases and that's part of the expectation as far as understanding like, what does a client want? And I think that's a perpetual question that solution providers are going to ask of brands that they're working with. What's your expectation in association with like taking advantage of this relationship? But I think there's a little bit of the chicken and the egg scenario with CDPs, where sometimes the advertiser or the marketer just doesn't know exactly what the opportunities could be. So how might you, as a CDP solution provider, help a client understand or prospective client understand what use cases might be on the table for them to take advantage of?
CM: Totally. Okay, so a couple of things here. One is that, generally speaking, there's at least sort of a high enough level of common use cases by industry, for example. We have an opportunity to work with hundreds of customers. There are some common themes and types of use cases that our customers are using. We do webinars every year on last year's top 10 use cases for CDPs and the year before. So we're putting that together in a library and documenting that.
There's a lot of material out there. I mean, maybe there's a little bit of a point where like, if you have no idea how or why you use a CDP, you're not ready to make the investment in one because it’s not just the technology partner you're choosing, but you might not be staffed, you need to think about measurement. So it's incredibly important to us that our buyers are informed and ready so that when they choose us, we know that they've made the right choice, because again, maybe we're not the best fit for you, because you've got some funky edge use cases that another CDP is better designed for something like that.
So there is a ton of material out there. And then practically speaking, assuming you at least have a general sense of what you're trying to accomplish, our core methodology starts with a use-case discovery workshop really getting in there and asking questions. When you say this, tell us more about that. What does that mean? What other systems do you have in place? It's really a question of getting familiar with how do you maximize value. What will that look like for us? What are common use cases for my vertical or companies of a similar size? We have tons and tons of material about that, case studies, etc. And then once we get started, it's a core component of implementation to be asking these questions and understanding your priorities, making these recommendations and kind of guiding you along the way.
We talk a lot about our customer experience. It has three core pillars; expertise, partnership, and empathy. Expertise is, we can bring you tons of information for you to choose from, and help you make the right choices. But partnership is also being right there with you and trying to help you navigate that not just with the information, but the pros and cons and understanding your business so that we can make sure that you're successful. But a lot of that is a lot of non-technical work, actually to make the technology maximally successful.
NN: I wanted to also ask you about something else that is really key for why somebody would want to embark on a CDP relationship or meet the threshold to make a CDP relationship valuable, and that is the volume of data that you need to bring to the table. So, Cory, if you could tell me a little bit more about how much data is expected for a potential marketer or prospective marketer to bring to the table in order for a CDP relationship to be valuable. Love to learn a little bit more about that.
CM: Yeah, A great question. But it's a hard one to sort of triangulate because again, there's so many different types of data, you could have a business where, I think actually this is a good way to illustrate this, is that our publishing customers, for example, have hundreds of millions of profiles in the platform; largely anonymous. It’s web traffic, people coming back to read, but not necessarily authenticated, or logged in. And of course, a big part of what publishers use BlueConic for is to increase the number of what we would kind of call recognized or addressable profiles, they have an email address or something about them that takes them beyond like a web cookie, or what have you.
By contrast, our retail customers and our folks that maybe have a loyalty program or something like this, our heavy e-commerce have fewer total profiles, but are much more addressable. Because, again, with e-commerce, even those loyalty programs, as I say, have an identifier that makes it sort of unique to you in a persistent way. Meanwhile, sort of third example, maybe I'll pull in like our CPG customers who don't have a ton of profiles, nor do they have a ton of identifiable profiles. They're much more immature, if you will, in this journey, because they've relied historically much more either on retail partners, right shopper marketing and sort of collaborations there, or on third-party buying lists and/or working with MSPs to sort of build up these third-party databases.
So you may have three very large, very well-known organizations in three different industries that have completely different data volumes relative to the business, but how they might value each profile is completely different. So I give that context, because it's maybe less about, you know, total number of profiles, per se, and more about how that reflects what's going on in your business.
What I will say is that a CDP, one of its sort of reason for being, is solving how complex the data ecosystem typically is, within an organization, whether again, I mentioned, its web, it's email, it's CRM, it's your former DMP. It's all of these pieces. It's your data warehouse. So you don't have a lot of complexity in terms of channels and or inputs, then maybe a CDP, at least companies like mine, where we're working on much larger sort of enterprise complex organizations, maybe there's a different CDP, a different sort of partner. But that's where that sort of assessment upfront shows that readiness to go back to that question is so important that you have a good grip on that and that you're matching your requirements with the right vendor. And of course, the right cost as well, right. You don't want to overpay if you're not actually using it or getting features that you don't find useful. So that's a good part of the readiness aspect that we were talking about before,
NN: I'll just continue to extend our readiness conversation by asking about having talent internally that can be dedicated to the CDP. So that's something else, I think, in some other types of solution relationships or partnerships, a lot of the responsibility falls on the solution provider to do all the labor; whereas I think when you have a customer data platform, you're going to want to have dedicated internal resources working on that. So how do you, in the event that you are working with a client or a marketer that doesn't have a clear understanding of what types of resources they need to put forth, clarify what those expectations need to be, so that they are making sure that they're investing appropriately?
CM: This is a big one for me, because I feel like marketing and marketing-adjacent teams are always being asked to do more with either the same amount or less, and people staffing, skills, resources, are in the crossfire of that. A couple things on this particular point. And this is again, where we've done a lot of work sorting out different role types that we typically see and ways of structuring the project team to make sure that you're getting the most out of this. So that can be even things like from a governance perspective, how are you thinking about that? If you want to be more matrix, what are the types of roles that you should be versus having more of a center of excellence? We've got customers with both.
So thinking about the organizational implications of a tool that is inherently cross channel or cross-system, cross-team is super, super important. There's not a wrong way to do it. There's not a right way to do it, necessarily, just what makes sense for your organization. In terms of skill sets, this is actually very gratifying. We have a number of customers who are posting jobs right now for a CDP Project Leader. Forbes just posted a job to hire a CDP Project Lead. Heineken's is hiring a consumer data strategist. Colgate is hiring someone focused on this for their Hills’ brands. So you’re starting to actually see jobs crop up either sort of product owner type of roles, or more technical function roles to be on the data side.
What is generally or consistently true, what I would say is that someone who is designated by the organization as a project owner or product owner type of role is really important. Again, in order to get the most out of this, you're talking about complexity. You're unlikely to have an organization where the same set of people is also the inputs and the outputs; that's just probably unrealistic. And so having someone who is empowered to coordinate all of those different pieces is really key.
In terms of the hands-on keyboard types of users, you know, those folks often do exist, kind of already in your org. Maybe they've been working on marketing automation. Maybe they were your DMP people before that. So that skill set is, especially once implemented, largely training and being able to make sure that you've got that stuff going on. The most complexity is during that implementation period, where you likely have a lot more folks involved. We have a colleague who sort of describes it, as, getting the plane to altitude and landing it right, that takes much more skill than flying it. So you are thinking about those types of roles that need to be part of that.
You and I talked a few weeks ago about role agencies in this ecosystem. And I am very glad to see a lot more of the sort of the SIs and digital agencies beefing up their CDP chops to help clients navigate this. Again, a lot of the time, it's much more of a temporary role, it's getting some stuff in there in the first place. But then letting it kind of live within the business. Agencies can play a hugely impactful and efficient role there as they build up those practices.
NN: So let's expand the conversation down that route, because I'm glad you brought that up. Because inevitably, that needs to be a part of this conversation. Agencies are inevitably a part of these conversations. And the thing is, it is kind of a tricky place for an agency to be in, not to call an agency a middleman, but you are in the middle of potentially a really valuable solution that could be brought over to a marketer and a marketing organization not knowing how to navigate that. And then also you suggest something where a lot of the legwork and the blood, sweat, and tears actually is going to fall on them in many ways, too. So I'm curious as to how you might advise an agency that sees a lot of value and that understands the benefits associated with the CDP. How might they want to broach the subject of how a client that they work with might want to consider going down a road of exploring?
CM: Yeah, to be honest, if you're an agency working with a brand or a publisher right now, you should be having this conversation. Because the things that are largely driving CDP adoption, whether you end up investing in a CDP or not, are still happening to you. So for example, the third- to first-party data transition and cookie deprecation. If CDP doesn't end up being the answer, I have some questions for you. But that headwind is happening. That transition is happening, whether you invest in the solution to fix it or not.
We just watched two years where digital transformation initiatives of a similar kind of characterization, if you ask McKinsey, I think they said they were sped up by five years. All of these things that happened because of COVID accelerating. Again, happening already, but now happening to you faster, that's not going to change. And meanwhile, sort of the ongoing changes to consumer privacy, consumer expectations of how they engage with brands, all of that is also continuing to happen whether you like it or not.
So the answer to those things does not only lead to CDP, but it certainly leads to a world in which a CDP is part of how you navigate things that are happening to marketing and to brands and publishers right now. So there's an enormously important role for agencies to play in assessing on a customer-by-customer or client-by-client basis. What does this mean for you? How are we going to respond to it? How ready do we feel? There's just a massive, and critical, I would say, role for agencies to be bringing their best practices from across their client base, and making sure that everyone is ready to tackle this and not just kind of think about it, like whether you see it as the opportunities that I think it really can be, it's going to happen anyway. So the choice is yours, whether it happens to you or it happens for you. And I think agencies can be big advocates for making it happen for you instead of to you.
NN: What's your experience as far as the ratio of how often an agency is coming to the table to engage in this conversation with you versus how often a marketer is coming to engage the conversation first?
CM: It’s still majority coming from the marketing side but I would say in the last like 12 or so months, it's become much closer and you're seeing a lot more of the RFPs and sort of CDP evaluations coming from a brand or publisher having done sort of a data strategy or broader business strategy with an agency in the first place. So they brought in someone to evaluate the company and like where we need to be investing. And one of the conclusions among likely many was, doing a CDP evaluation.
So we're seeing what I would call an agency-influenced decision to start looking at CDPs much, much more commonly than in years past. So, like last 12 to 18 months or so. And I would expect that trend to continue. In addition to it being the right thing, because that's what the business world needs also, let's be honest, it’s very self-serving. There's an enormous amount of work to be done, as we just talked about. Getting clients ready for a CDP is no joke. I love doing use case workshops with customers and I'm grateful when they use our materials. But we're not consultants. So there's a lot of opportunity before we even get involved where that work can be done, again, to make more efficient use of the time that they do spend with us (the vendor) and an agency that's a revenue stream in its own right, in addition to sort of being the logical place to be spending time. So an upward or an increasing trend, certainly. But I would say still, the majority is coming from what ostensibly appears to be a brand having made a decision that this needs to be a part of where their organization is going.
NN: Something we talked about earlier was that there are going to be some organizations out there that aren't ready and maybe they're quite far away from being ready as far as potentially onboarding a CDP. Maybe they just seemingly are not in a position where doing something with a CDP is accessible in the short-term. What would you suggest, seeing that we are moving into this cookieless future now seemingly faster than we were in the past? And organizations need to do more as far as making sure that they're getting pipes set up to capture first-party data? And maybe they're a couple years out from the potential opportunity of working with a CDP? Do you have any advice for those types of organizations that have really relied so heavily on the third-party cookie, they've perceived third-party cookie data as their data, and now they realize they need to become better stewards of their own first-party data? What would you say to them if they might have some preliminary years of work or whatever preliminary work they need to do that's going to take some time? What are your thoughts on that?
CM: I think it's a couple of things. One is like, you are ready now because you have to be, it just may be how you start that looks different. So I think the CPGs are a great example of this where the question is not, do we wait until we have enough first-party data to then start using a CDP? No, this becomes your zero to one. You don't need to have had a CRM; you skipped that step. Fine. No problem. But you’ve got to start somewhere.
So it's more for me about you know, what are we building on top of? If it's going from literally only third-party data that's hosted elsewhere and you have no control over it, then that's totally fine. That just means that we're going to start from use cases that are more geared towards building up your first-party data. I think Heineken is an amazing example of this. They've been a customer of ours for a few years. They started with largely web data, and increasingly started to add physical events and online events, like, beer tastings, and things like this. So you'd get data from people who registered for those, and then started to build that up. Now several years in, they're expanding into all kinds of new channels. How they're thinking about using that data is incredibly rich compared to where they were just a couple of years ago. But it started with, we have a DMP, we need to figure out how to move off of the DMP. And so there we go. So it was much more of a replacement type of scenario.
On the other hand, if you look more at our retailers, and folks like that, who have tons of first-party data transactions, loyalty programs and web data and all this other stuff, but it's just not combined into a single view of the customer that they can actually use; that's still a reason to start now. It's just we use this Arthur Ashe code, a lot of it “start where you are, use what you have, do what you can; that needs to be today”. It's just more of a question of, if you're going to say, well, we're not going to be ready for a CDP for three years. That's not universally applicable. There may be some data cleansing if you're in that scenario. But if you're in the scenario of we just need to have a first-party data strategy that needs to start this minute.
So like right-sizing that answer to sort of where your organization is, but if three years from now you're like, “Okay, I'm ready for a CDP '' like that boat sailed on you in a big way I think. Unless you have a different answer for all of the things, I talked about- first-party data and being more resilient and agile and being able to keep up with your customers. You may have a different answer for that. But CDP is largely part of that. I think we're a lot closer to everyone needing to have a clear answer for that for themselves, than spending the next few years kind of getting ready for that eventuality. That's the good thing, I think about Google's change in a lot of this. Kicking the can down the road, again, was obnoxious and super self-serving. But they have put a deadline on us. This was a forcing mechanism. And as we all know, and I get why, like the martech/adtech industry doesn't move unless it's forced to. So the forcing is happening. You've already missed your window, if you were hoping to just kind of get to do it on your own terms. Now is the time.
NN: So, I think what happens to some brands, and you mentioned this just moments ago, is that they may not have that thoughtful of a first-party data strategy. So maybe unlike the Heineken scenario that you described, where they are doing a lot of collection, but there was some streamlining that went on. And then there was an opportunity for them to embark on the leveraging of a CDP in bigger and better ways. Whereas some people are just more in that dusty data space, we really have just left a lot of stuff in these archives and an archaic place. We don't understand how those things come together. There are cobwebs all over them. We're not dedicating resources to take a look at them in inappropriate ways. And so, I think some of your suggestion is to say that if you haven't started working on it, that internal work needs to start right away. Then also setting up more pipes for that data to be coming through in clean ways and where there's a process to say, “Our intention is to orient these pools of data so that we can have it to have insights and new types of audiences extrapolate it”. I feel like that might be a larger suggestion.
CM: That’s a big part of it. There are some sunk cost fallacy aspects of this too, which is like, is the data worth bringing in? Really? I mean, I know you spent a lot of money on it, I totally get it, fair. But let's be honest with ourselves, right? You have this opportunity. Oftentimes, we see with new customers where they come in, and they say, “We're going to import five years' worth of data into a CDP. So we can use it for segmentation also”. And then we start to look at it with them, right, we look at those data files that I talked about, and when should we get in there? And it's like, turns out a lot of it is garbage. A lot of it doesn't have great lineage around consent or opt in. You're not really sure if it's really that great. Do you want to spend the resources cleaning it? Or do you want to say “you know what, maybe we just bring in two years' worth of it.” That's enough to be the basis for some historical trending and things like that to inform what we want to do next. But we don't need to saddle ourselves with the baggage of what came before.
Another example that I often will talk about is like third-party data appends, which are still legal in the US. We get the question, “Can you bring in data from those types of sources?” And of course, technically, we can. It is a file. And you import it the same way you import a lot of data. But the real question is about, again, having a clean slate of first-party data that you can confidently say is consented and the lineage of all of it, how much do you really want to bring in of third-party data that maybe isn't legal in a couple years, or maybe in a shorter period of time. There may be use cases for it again, we come back to the use cases and the value there. But I do find that the CDP conversation is an opportunity to sort of really check some of our assumptions and start fresh, or at least start from a better place. Sometimes that isn't just cleaning up, it is saying, “Look we’re just going to put this one in the graveyard and be okay with it.” And we see that pretty often. It's not usually the starting point. But we often do get there when people have that chance to sort of be confronted with, start fresh, or just kind of leave some things behind.
NN: Yeah, and I think a part of that confrontation and starting fresh can be a frustrating one for some marketers who thought, that they had all this information that was going to be available to them. And now they also need to bring in legal and these new consumer privacy regulation considerations and then saying, “Okay, not only can we not use the data from yesteryear, we also need to bake in new processes that consider consumer privacy in ways that we haven't considered consumer privacy”. I think there are definitely brands out there that are doing kind of the bare minimum as far as, “Hey, I think that these are absolute necessities as far as to not get our hand slapped in relation to regulation”. But if you're going to dive deep into some of these types of conversations, you need to think about how that data is being acquired. Are you meeting that consented threshold? I think there are still brands today that do not have those conversations.
CM: You're absolutely right. The other part of it is that it's not just the consent. We should be asking ourselves, what is the value we're providing back to the customer? Let's also not take for granted that this is just a consensus or a checkbox situation. Why would anyone want to consent? What are we doing? What are we giving them that is so valuable that their precious data, if we think it's so precious, then we should be holding ourselves to a standard of giving them back something of some kind of comparable value.
I sort of used this as a thought exercise sometimes. If we were to end up in a situation where every single website was just a blank screen, unless you sort of ostensibly logged in every time. You've had to put an email in or some data in. Is your content, product, experience, media worth someone jumping through that hoop? Would they do that every single time? Do they like you enough? If you feel nervous about a scenario where that level of gait comes into play, then you need to look at much more than just your tech and your consent and your governance. You need to be thinking about the brand experience and the quality of what you're doing because that is the equity that you are playing with.
NN: Do you have any advice for brands that have been locked up in a scenario of where they're doing a lot of their marketing or advertising, leveraging just third-party cookie data? They're in the business of using Facebook ads and site retargeting and search ad behavioral targeting, just a lot of third-party cookie focus. Now they need to start to reroute themselves and understand that we have a road ahead of us and we need to get moving quickly knowing that there is this anticipated date where these mechanisms that we've become reliant upon will no longer be available. I know you shared a lot of advice on the front end of our conversation and mentioned use cases that you need to ask yourself, but if you feel disoriented, what do you say to those types of clients? How would you advise them as far as how to take themselves out of the state of overwhelm and move into a state of action?
CM: This is perfectly phrased as well. This is going to maybe be a little bit of an unconventional answer. Marketing and finance need to have a conversation because transitions like this are rupturing. There are going to be performance implications, while you transition away from something to another mechanism of driving the business, especially if you have not started. The benefit of having gotten started sooner and starting now is that you maximize how much overlapping runway you're going to get between the full end of your DMP and whatever you replace that with on the other side. It gives you more opportunity to experiment and figure out what works.
So your job right now is to give yourself as much runway to try new and different things as you possibly can, before everything actually becomes no longer possible. The only way to do that and do that well is to kind of buddy-up with finance on this and be like, “Look, this is how much we're spending. This is the implications of it”. And ask finance to help model out like, “Okay, if we change this, and we do that. What are the implications here? And help us message that to the rest of the organization that this is a planned loss or a planned couple of quarters where it's going to have an impact on margin or what do you like that sort of rise.” This is why I say, this can either happen for you or happen to you, it's going to happen.
So being able to proactively tell the story, describe what it is that you're doing, be specific, as opposed to just saying like, “Numbers are down because third party cookies are going away”. Like, sure that's true. But why leave it at that? So talking to finance, figuring out some of that modeling and starting to think about if you look at your marketing or advertising, how much of it is driven by third-party data, to what extent if you have the means to assume that the technology exists, because the technology always exists. But what would be a logical replacement or a good adjacent replacement, for example, to what you're using? And then make a list of that; technology-agnostic to start. Do an audit of that. Start to try to map that up. And then you start to look at “Okay, where would I get this data?” Do we have an option to get it today? Does it need to be a vendor? Does it need to be a CDP? Does it need to be a data warehouse?
Whatever the questions and answers are, you can start to look at those but there will be a cost of course. And it's going to take time. And one of those is finite and it's the time. So being able to get started on it, it can be overwhelming. But my company is half Dutch and there's a saying in Dutch. “How do you eat an elephant? One bite at a time.” So, I think this is the moment that we're at. I know it feels big and scary. But there is a path forward. Like I said, sort of partnering with the business from afar enhances perspective on that and really treating it as a business thing, as opposed to just a marketing kind of issue is really critical, I think, to being successful and having the kind of transparency and narrative around that to make it successful and effective for people.
NN: Final question, on my end, are there any things that are burgeoning on the horizon for CDPs, for brands and advertisers to be excited about?
CM: So much. I think, in some ways CDP’s have been around for a long time, yet, the confusion still exists and we're still only scratching the surface of the kinds of use-cases and cool things that the platform can do. I'm super energized about some of the things that data science can start to be brought into the mix and figuring out how to do better optimization of the experience with smarter algorithms, things like that. A lot of this stuff around privacy and the forcing mechanism that it represents, for how brands think about their customer engagement strategy, I think is a long time coming, and being able to use the data to inform those choices and be able to do more effective kind of privacy experience at scale really gets me excited as well.
Then the last thing, I think, is just a huge amount of opportunity still on kind of the orchestration life cycle side of things. Not just the right message, right person, right place, but sort of sequencing. A lot of this, to me, has to do with being able to do really hard things at scale, which is a big shift. I think we're still again, kind of scratching the surface on some of those areas. But I expect to see big kinds of leaps and strides in the coming couple of years for sure.
NN: A lot of things for advertisers and marketers to reflect on if they haven't gotten onto the path of pursuing a CDP. So appreciate the time and the introduction to CDP's and things to look forward to in the future.
CM: Thanks for having me. It's been a pleasure.
NN: Thanks again to Cory Munchbach, President and Chief Operating Officer at BlueConic for giving a breakdown on customer data platforms for advertisers and marketers. Like Corey mentioned, there's a dearth of information out there for advertisers to assess if adding a CDP is the right next step for a first-party data strategy. With the volume and variety of customer data platforms becoming more diverse and accessible, it's a great time to explore options. You can go to BlueConic’s website to learn more. That's it for now, and thanks for listening to AdTech Unfiltered. I'm Noor Naseer and another episode is coming up real soon.
What’s new in the realms of paid search and social media? Basis’ Senior Vice President of Paid Search and Social Amy Rumpler compiles all the latest news, trends, and resources each month for easy access.
Twitter recently relaxed its advertising policies, allowing cannabis companies to advertise in the 21 states where the sale of recreational cannabis is legal. To get into the weeds: Advertisers must be licensed by the appropriate government bodies, can only target jurisdictions where they are licensed to advertise, must be pre-authorized by Twitter, and cannot target people under the age of 21, among other standard advertising policies. Also, creative cannot specifically promote sales, so messaging should remain focused on awareness and branding.
Two young businesspeople patiently monitoring Twitter’s advertising policies.
Twitter’s new feature is exactly what it sounds like. As part of an effort to generate more revenue while creating ad units with high perceived ease and value, brands can now pay for their tweets to appear in search results for specific keywords on Twitter. It’s similar to promoted tweets that appear in users’ timelines, but with the added benefit of appearing in search results.
According to data from Sensor Tower, top brands spent a total of 400% more in 2023 to advertise on TikTok between January 1 and the Super Bowl, compared to the same time frame in 2022. Meanwhile, top advertisers spent 43% less on Twitter during this same time frame when compared to the year prior (well, hello, Search Keywords Ads…) Given that Twitter has long billed itself as the top second screen platform during the big game, AdWeek believes this shift in momentum is notable.
The company’s vice president of global business spoke with The Drum recently about what lies ahead for the year, including a continued focus on becoming a stronger and more nimble organization. At the same time, the company is leaning more heavily into AI through features like Advantage+, which allows advertisers to reach and convert audiences with less setup time and better efficiency. In a separate but related Digiday article, GroupM predicted 90% of digital ad campaigns will be influenced by AI by 2027.
Speaking of AI, Search Engine Land compiled a list of top use cases for ChatGPT that search marketers can test today. Topping the list: creating strategic ads and assets, including multiple variations, in minutes; optimizing landing pages; analyzing and researching competitors; and investigating performance changes along with possible causes. Perhaps ChatGPT can help potential Twitter advertisers brainstorm a list of biddable search keywords…
Digital Trends put together a helpful comparison of Google’s Bard and ChatGPT, based on currently available information (Bard is in Beta testing; ChatGPT offers both a free and paid version). The main differences seem to be their intended use cases, with ChatGPT supplying direct answers to direct questions, and Bard being designed mainly to augment Google Search. For all the plusses of both platforms, they’ve also faced challenges: Internal Google documentation shows that employees are still tinkering to ensure Bard gets answers to questions right, and ChatGPT returned incorrect and problematic answers in early demos. Regardless, most media outlets and industry experts seem to agree that AI is driving the “next generation of search.”
Spoiler alert: The mom leaves her AI android son in the woods to, um, power down.
If 2022 was a year of crisis in social media, 2023 is poised to be a year of opportunity. eMarketer’s predictive report for the coming year discusses how the rise of BeReal and other new apps might impact Meta, Snapchat, and TikTok; plus, what could happen to TikTok amid governmental regulations; and which platforms stand to benefit most from Twitter’s user and advertiser decline. The silver lining lies in the platforms’ abilities to develop new ad formats (hello again, Search Keywords Ads…) and technologies to engage users and brands alike.
This new partnership will allow Conde Naste Entertainment to produce and share exclusive content via Pinterest, aligned with key seasonal moments and events. With video content continuing to dominate in engagement, the addition of high-end publisher content could help drive more discovery, interest, and usage of the app throughout 2023—usage which advertisers can benefit from as well.
It looks like Meta is taking a step back in its ambitions for social commerce domination and is pausing its push for live shopping features on Instagram, after doing the same on Facebook last year. While increasingly popular in China and among younger audiences, the tactic didn’t seem to catch on with the masses in 2022. The timing is interesting, as elsewhere it’s being reported that Amazon, TikTok, and YouTube are doing the opposite and leaning more heavily into live shopping this year.
Hey, those heather gray slant-pocket joggers aren’t gonna buy themselves.
The new Artifact app combines articles, facts, and artificial intelligence into a curated news experience based on user interests and engagement. As users tap on articles that interest them, Artifact will learn and determine what new articles to serve them in the future (similar to TikTok’s approach with video). This article includes a link to join the Artifact waitlist.
The first quarterly eMarketer report of 2023 addresses predictions for how social network ad spending will change this year, as well as the key trends that are likely to influence user behavior and engagement. TikTok remains a standout in the space, as short-form video continues to dominate. In fact, video now accounts for more than half of all social ad revenues, and by 2026 it will capture more than 12% of overall media ad spend in the US.
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