If you weren’t paying close attention, you may not realize that the changes Google have announced have blown a hole in your DMP.
Two major capabilities are affected by the pending DoubleClick ID removal from logs and push toward using Google’s Ads Data Hub: (1) segmentation and (2) frequency capping.
First, marketers currently use DMPs to create new audience segments based on media exposure. A DMP can keep track of media exposure if its own tags/pixels can run with the ad, but on many publisher inventory such as Google’s Ad Exchange, DMPs are banned from running their code. These publishers are worried about data leakage, which happens when the DMP pixels proprietary audiences on media (such as sports lovers on ESPN.com) and purchased these users elsewhere without paying the publisher.
Historically, the DMP could still get a record of media exposure from the ad server such as DoubleClick, which would share data on who saw the ads running. Using DoubeClick’s data, the marketer could then still segment audiences within the DMP based on who saw the ad, who converted, etc.
Now that Google has discontinued the sharing of logs with IDs, DMPs are no longer able to see media exposure on either inventories on which they are explicitly banned and or inventories where they are allowed to operate but that Google’s DoubleClick ad server is used by the advertiser. If DMPs are to continue to be useful to the marketer, they will need a new source of data.
Second, some marketers use DMPs to create frequency caps across media platforms. By getting their pixel/code to run with an ad, or by ingesting ad serving logs, DMPs can count impressions exposed to a particular user ID and then send a signal to platforms like DSPs to stop buying a user after a certain amount of exposure. However, without log level data, DMPs will not be able to count frequency for inventory in which they are banned, leading to less accurate frequency measurement and therefore less precise frequency capping.
How do I keep my DMP running at full performance?
Marketers who have invested in a DMP and want to keep its capabilities at full power would be advised to either buy more digital media that allow DMP tracking or find an alternative ad tracking or serving solution that can data transfer log files to the DMP. A combination of these two strategies would allow a brand to continue using its DMP to its fullest by giving the DMP the complete picture of ad exposure tied to person.
If you want to add an independent ad tracker to your DoubleClick stack or to keep powering your DMP with data, talk to Thunder about our Experience Measurement solution. Otherwise, stay tuned for Part III to learn more analytics in the Ads Data Hub world.
Note: This is a multi-part series analyzing Ads Data Hub and its impact on marketer’s Data Management Platform (Part II) and Analytics (Part III).
What happened to DoubleClick?
Most marketers today use DoubleClick Campaign Manager (DCM) as their primary ad server for delivering ads and tracking ad exposure to conversion. The largest advertiser and most sophisticated advertisers relied on DCM data to do analytics, attribution, and media activation.
These advertisers would “data transfer” log-level data (the raw data for each impression rather than the aggregate data that hides user-level and impression-level information) to their data management platform, data lakes, and vendors that do analytics or attribution modeling.
In April, Google announced it will no longer allow data transfer of DoubleClick log-level data with IDs. This decision effectively destroyed most of the value of the log-level data exported from DCM because advertisers wouldn’t know who saw the ads but only how often an ad in total was served. DoubleClick could be used only to verify that the total amount of impressions bought were actually delivered but all the other powerful use cases like analytics, attribution, and data management would no longer be possible with DoubleClick data.
At the same time, Google pushed forward its own solution to this new problem for marketers — Ads Data Hub. This product is essentially a data warehouse where ad exposure data is housed and can be connected to Google’s own solutions for attribution, analytics, and data management.
One new benefit is access to the Google ID, which is a powerful cross-device ID that uses data from users logging into Google services like Android, Maps, YouTube, etc. Previously, DoubleClick was only tracking and sharing a cookie-based DoubleClick ID, which neither connected cross-device ad exposure and conversion nor reconciled multiple IDs to the same person. For many advertisers doing log-level data analysis and activation, this new ID is a big upgrade because it provides more accurate measurement.
One major downside is that this data cannot leave Ads Data Hub. Consequently, you cannot do independent verification of Google’s attribution or analytics modeling. If Google says Google performs better than its competitors, you will have to trust Google at its word. In the past, you would at least have the raw data to apply your own attribution model if you so wanted, or to re-run Google’s calculations to verify its accuracy (since big companies are not infallible).
By extension, outside ad tech providers (such as DMPs, MTA, etc.) who may be best in-class will have a much harder time working with Google solutions. As a result, you will be dependent on Google.
To do matching of off-Google data such as other ad exposure or conversions that happen offline, Ads Data Hub now requires you to upload and store your customer data in the Google Cloud. In that environment, it can be matched with Google’s ID and tracking so you can build a Google-powered point of view of the consumer journey.
In a way, Ads Data Hub is for those who trust but don’t need to verify. It is a good solution for advertisers who today spend the vast majority (75%+) of their ad budget with Google because ultimately if their advertising isn’t working, no matter what Google says about how it is performing, it would be ultimately accountable for the results. You wouldn’t need to verify calculations to know if your ad budget is wasted.
What else can I do?
Another solution is to add independent ad serving and/or tracking in addition to or in replacement of Google. By doing so, you can still generate log-level data for Google-sold media but it will not be tied to a Google ID. Instead, you will be using your own ID or a vendor’s cross-device ID to understand who saw what ad when, where, and how often.
This approach is best suited for large advertisers who want best in class ad tech solutions to work together, and who cannot spend all their money on a single media platform to achieve their desired results. Typically brands large enough to afford data lakes, independent attribution providers, and data management platforms are the ones who will have the most to lose by moving to Ads Data Hub.
If you already realize you want to take a trust, but verify approach in your ads, talk to Thunder about our Experience Measurement solution. Otherwise, Stay tuned for Part II to learn more about the fallout from Ads Data Hub.
Marc Pritchard famously said “It is time for marketers and tech companies to solve the problem of annoying ads and make the ad experience better for consumers.”
What do his peers think? The CMO Club has partnered with Thunder to publish a “Guide to Solving Bad Ad Experiences,” which includes a survey of over 80 CMOs and an interview with the CMO of Farmers Insurance on the impact of bad ads and how people-based marketing can fix them.
Some key findings include:
74% of CMOs consider brand loyalty as most negatively affected by bad ads
55%+ of CMOs consider frequency and relevancy as the top factors in bad ads
78% of CMOs consider it “inexcusable” to serve ads for products the customer already bought from them
71% of CMOs consider frequency capping important for ad experience but 60% aren’t confident in even their frequency counting!
CMP is the hot adtech acronym of 2018. There are actually two meanings to this term: (1) Creative Management Platform and (2) Consent Management Platform. Here’s an overview of both these products and why you may need one.
Creative Management Platform
Introduced in 2016 by Thunder, the CMP acronym original stood for “creative management platform,” a tool for producing and trafficking ad creatives. Rather than just a general purpose creative editor like Adobe Photoshop or Animate, which are applications built for a single designer to use by him or herself, CMPs are meant for an enterprise that has a scale issue with creative.
Many brands, agencies and publishers are increasingly needing to build ads in different sizes and versions for different audiences and media formats. Consequently, creative production demands have grown exponentially while most creative organizations can only scale linearly in their capability by adding more designers and programmers. Because traditional creative editors were built for highly advanced users, a creative bottleneck formed as demand went up and not enough talent or payroll existed to fill the void.
Creative Management Platforms radically simplified ad production by providing easier interfaces and automated production tasks like re-sizing. Forrester began recognizing CMPs in 2017 as part of their broader creative ad tech research which has been timed with the rise in enterprise demand for new marketing creative technologies.
Consent Management Platform
Introduced in 2018, the new CMP acronym stands for “consent management platform.” The European privacy laws known as GDPR required publishers and marketers to obtain explicit consent for certain tracking and targeting data. As a result, a new category of tools emerged to specifically help these enterprises collect and keep track of user consent.
The CMP then feeds that consent information tied to an ID to other selected partners in the digital advertising supply chain. As a result, every party in a publisher’s supply chain understands what data they may use and for what.
Which CMP do I need?
It depends if you’re looking to solve a creative problem or a data privacy problem. Talk to Thunder if you need help with your data-driven creative problems or digital creative production problems. Check out these consent management vendors if you’re looking to solve a privacy preference problem.
tl;dr DoubleClick logs are used today by marketers for verification, attribution modeling, and other analysis beyond what is available in standard DCM dashboards.
Log-based analytics require a device or user identifier, so DoubleClick’s removal of the DoubleClick ID represents a disruption of the status quo for log-based analytics solutions.
Fortunately, DCM logs are not the only source of log-level data, or even the best. Brands and agencies increasingly use tracking pixels from measurement vendors that have access to deterministic IDs as a replacement for ad server logs and to support more advanced analysis. Skip to the end if you are just looking for a list of recommendations.
Google’s announcement last Friday that DoubleClick is removing the Doubleclick ID from its logs resulted in panic in many corners of the digital advertising world. What is the DoubleClick ID? For that matter, what are logs and why do people use them? Confused as to what the big deal is?
Here are the answers:
Beginning on May 25, DCM will stop populating the hashed UserID field (which stores the DoubleClick cookie ID and mobile device IDs) in DoubleClick Campaign Manager and DoubleClick Bid Manager (DBM) logs for impressions, clicks and website activities associated with users in the European Union. DoubleClick intends to apply these changes globally, and will announce timing for non-EU countries later this year.
What this Means for Advertisers
DoubleClick, like most adtech platforms, provides reporting dashboards to monitor performance KPIs. While dashboards provide a good summary on performance, they can’t answer more granular questions that marketers want of their data. That’s why many marketers ingest logs from their ad servers and DSPs. These logs are broken out into impression logs, click logs and site activity logs.
In order to perform custom analytics with these logs, the logs need to share a common identifier, so that the marketer can tie together recorded impressions from multiple sources (DCM, DSP, etc.) that belong to the same person, as well as clicks and site actions from that person.
That common identifier is generally the cookie ID or, in the case of mobile app ads, mobile device ID. DoubleClick currently has a field in all of their logs called UserID that stores a hashed version of the DoubleClick cookie ID or the mobile device ID tied to an impression, a click or a site action.
By removing this field from their logs, DoubleClick is effectively ending their support for ad server logs that are used for analytics, verification, measurement, or attribution modeling. Without the UserID field, marketers can no longer tie together impressions, clicks and site actions. For example, if you were previously filtering suspicious traffic based on frequency of engagement, you will no longer be able to do so (because each row becomes unique without a deduplicating identifier).
The alternative proposed by Google is for marketers to pay to use the dashboard found in the Google Ads Data Hub. The big issue with this approach is that the marketer has to trust Google to grade their own homework, making the marketing standard “trust, but verify” approach all but impossible.
As a result, brands and agencies using DoubleClick logs will no longer be able to independently:
Verify frequency by cookie or person
Count total ad exposure by person
Analyze true reach of media placements and campaigns
Compare reach and duplication by media placement and campaign
Attribute or de-duplicate conversions and clicks
Report on user conversion rates
Identify unique site traffic
What’s the Back Story
This announcement is part of two trends in the market – GDPR as a pretext for raising the walls of walled gardens, and the shift from logs to trackers to collect data for custom analytics.
First, Google is saying that the upcoming EU law, GDPR, is forcing them to do this, something many pundits have questioned. Walled gardens are continuing to grow taller, and increasingly are leveraging privacy concerns as the pretext for doing so. Media sellers are also now further pushing their own measurement and attribution solutions in a bid to grade their own homework and prevent cross-platform comparison.
Google has built a more full-featured measurement and attribution product that is currently in pilot with selected large brands known as Google Attribution 360, part of Google Ads Data Hub. The announcement to remove the DoubleClick ID from logs is connected strategically to the broader release of Attribution 360 later this year. In fact, Google Ads Data Hub was even plugged in the email to agencies informing them of this change.
Second, this announcement is a reaction to the trend of measurement and attribution vendors disrupting the importance of ad server logs, making Google’s decision seemingly reasonable.
Marketers are increasingly relying on vendors to improve their accuracy through features that are not a part of the traditional ad server log. Specifically, savvy marketers want (a) cross-device graphs and (b) the ability to perform causal attribution modeling. Neither of these goals are unlocked by DCM logs today, leading to the emergence of an ecosystem of measurement platforms, each with their own trackers tied to a cross-device graph for data collection. Of course, one such vendor is Google, whose Attribution 360 offering has both of these advanced features.
As such, DoubleClick’s announcement simply represents a formal passing of the torch in responsibilities from the ad server to the measurement provider for those marketers who have already reduced their dependence on DCM logs.
Brands and agencies need to identify vendors who can provide tracking and measurement capabilities (full disclosure – Thunder Experience Cloud is one such vendor). This change needs to occur before current dashboards built off of DCM logs become disrupted.
If you are evaluating vendors to address this change, we recommend the following as requirements:
Ability to source data from impression trackers rather than logs
Visibility across all ad exchanges (several vendors are classified as DMPs by Google and thus blocked from tracking impressions on AdX)
Can provide the following categories of metrics:
Frequency by person and total ad exposure by person
True reach and overlap of media placements and campaigns
Attribution using any configurable attribution model, both position-based and algorithmic
Media agnostic (be wary of solutions that grade their own homework)
Independent of any arbitrage of audience data segments that are evaluated by their measurement product
In addition, some “nice to haves” include:
Backed by a deterministic people-based graph
Can provide reliable logs with interoperable customer ID to other identified vendors within the brand’s adtech stack if requested
Thunder CEO Victor Wong had the pleasure of sitting in on a panel about programmatic creative at this year’s OMMA Programmatic event.
“Less than 1/3rd of online users today feel that internet advertising is relevant to them.
“Through programmatic creative and using data, if we can bring that up to 50%, that’s going to lead to hugely impactful outcomes for our clients and hopefully cut down on ad blocking and improve the way people perceive advertising in the future,” said Andrew Sandoval, Director, Biddable Media at The Media Kitchen in an opening statement.
Watch the video recording:
Below is a summary version of the main takeaways from the talk.
At a recent insider marketing event in Palo Alto, Thunder CEO Victor Wong sat down with Dane Hulquist, SVP, Head of Media and Retail Channels at Wells Fargo, to talk about customer-centric marketing.
A key focus of the talk was how brands with multiple products often times end up competing as they overlap in targeting a customer, bid against themselves, and create inefficiencies. The interview below has been edited and condensed for clarity.
Hulquist spoke about Wells Fargo’s high-level cultural and strategic shift which was a move toward centralization to eliminate internal competition and focus on company goals.
Data-driven marketing is the strategy of using customer information for optimal and targeted media buying and creative messaging. It is one of the most transformational changes in digital advertising that has every occurred.
The rising quality and quantity of marketing data have been followed by explosive growth in the technologies for creative production and automation. These burgeoning mar-tech and ad-tech sectors now enable personalization of every aspect of the marketing experience.
Data-driven decision-making is taking the answers to questions like who, when, where, what message, and making those answers actionable.
So to attract eyeballs, programmatic creative is solving the production and creative management challenges in producing a large volume of ads, thereby enabling messages to be hyper-relevant. Rather than showing a generalized creative, these new technologies allow the experience to be specifically tailored and customized to the viewer.
This post is continuously updated to reflect how programmatic creative and dynamic creative optimization (DCO) are evolving.
When people think of the relationship of programmatic creative vs. DCO, a common misunderstanding is that dynamic creative optimization and programmatic creative are different technologies.
One term is actually a subset of the other. DCO is a form of programmatic creative.
While DCO falls under the programmatic creative umbrella, but it’s not the only way to build creatives that activate the 6+ billion dollars of data in contained in programmatic media.
To illustrate this idea, let’s start with a definition of programmatic creative.
Programmatic Creative Definition
Programmatic creative refers to the set of advertising technologies that add speed, scale, and automation to the creative process. This covers ad production, dynamic ads, and creative optimization.
Programmatic media has unlocked tremendous potential in how we tell stories in paid media online. The purpose of programmatic creative is to enable data and creativity to come together to tell brand stories in a more resonant and effective way than ever before.
Though 30%, or $6 billion, of this programmatic spend is invested in targeting technologies like Demand-Side Platforms (DSPs) and Data Management Platforms (DMPs), brands and advertisers have not yet successfully delivered on the promise of the right message for the right audience.
In fact, according to research by AppNexus, up to 97% of programmatic campaigns lack a targeted creative for each audience segment.
This means that once the ad has successfully reached their potential customers, a majority of creatives are generic and untailored. Brands and advertisers need to combat this $6 billion waste by activating their data and delivering personalized messages that truly resonate with customers.
Programmatic advertising has been one of the most transformative advancements in marketing. It has also been one of the biggest disruptors to the ad-powered internet.
Now a dominant way to sell and purchase media, programmatic advertising is expected to rise to encompass 58% of all ad spend on digital display this year. The US is the strongest programmatic market, accounting for 62% of all global programmatic ad spend.
People-first marketing is both an approach and a set of marketing strategies that focus on personalizing customer touchpoints across channels to drive engagement and maximize campaign performance.
The proliferation of digital channels, devices, and platforms have led to a vast shift in consumer behavior and expectations. Gone are the days where advertisers can mass send out generic marketing messages aimed at everyone–which in reality, cater to no one.
Consumers have gained more control over their own journey to purchase, which means brands and advertisers need to do a better job of identifying and reaching the right audience at the right moment. Understanding who your specific target audiences are, as well as their needs, wants, and pain points help put each customer at the forefront of your marketing strategy.
Targeting the right audience, however, is just one part of the equation.
Executing a people-first strategy also means understanding how to capture your audience’s attention with the right message. To activate the $6 billion dollars spent on targeting technologies like DSPs and DMPs, brands and advertisers need to focus on delivering a personalized message that captures their audience’s attention at the right time in their customer journey. Delivering a personalized creative is key to truly engaging consumers, instead of just marketing to them.
The main concepts of advertising have been around for over a century, but the emergence of programmatic creative and the creative management platform (CMP) is a phenomenon that is much newer.
A number of companies have seen incredible results from creative management platforms, including Anheuser-Busch, the biggest brewer in the world, and Intercontinental Hotels Group (IHG), the second-biggest hospitality company in the world.
Programmatic creative technologies combine well with programmatic buying, data management platforms (DMPs) and demand-side platforms (DSPs). In this ad tech stack arrangement, the CMP is the creative arm of a data-driven campaign strategy.
We’re going to explore seven ingredients that can make up the perfect creative management platform that aligns with your programmatic creative strategy. If you’re still learning about what a CMP is, check out the video below before you review the list.
Programmatic creative refers to the set of ad technologies that enable data-informed, software-assisted creative executions. The purpose of programmatic creative is to unify data and creativity to drive hyper-relevant ads to each audience.
Dynamic Creative Optimization (DCO) falls under the programmatic umbrella, but is not the only way to solve creative problems for programmatic media. Both Dynamic Creative Optimization and Creative Management Platforms (CMPs) maximize the impact of the creative within programmatic and direct advertising through very different approaches.
In this video, learn how programmatic creative activates audience data through two main technologies: Dynamic Creative Optimization and Creative Management Platforms.
A report published by Yahoo! in 2014 found that personalized ads are 54% more engaging and 45% more memorable compared to generalized creative.
To continuously drive higher programmatic display performance, leveraging the right creative optimization tactics will not only lead to more engaging ads that strongly appeal to your target audiences but also higher conversion rates.
Watch this video to learn 5 creative optimization strategies to maximize the ROI of your programmatic display campaigns.
As a CMP vendor, we have participated in many requests for proposals (RFPs) for Creative Management Platforms (CMPs). The same goes for dynamic creative and programmatic creative. But we still often hear from organizations that don’t have an RFP or RFI template for a CMP.