The AdTech industry is buzzing with discussions about cookie deprecation and effective strategies to tackle it. One of the commonly suggested solutions is the utilization of clean rooms alongside responsibly sourced first-party data.
Above all else, the industry recognizes the importance of respecting consumer data and complying with all privacy laws. Additionally, the industry acknowledges the need for a change in our historical practices. This shift benefits everyone involved, as consumer data is more secure than ever. Tremendous investments have been made to ensure the utmost security of consumer information.
Clean rooms are one of the tools that enable companies to use data securely, ensuring the content that you see is as relevant as possible.
Two ways the AdTech industry is addressing cookie deprecation
The days of sending data directly to partners for usage or for using only third-party data for marketing efforts are gone. Now, the emphasis is on responsibly collecting first-party data and using clean rooms to enrich first-party data to enhance marketing efforts.
First-party data
The industry is starting to lean into first-party data gained through transparent means. This valuable information provides organizations with deeper insights into their customers, allowing for more personalized and effective interactions. By embracing the power of first-party data, either on its own or enriched via partner collaboration, you can cultivate stronger relationships, build trust, and deliver tailored experiences that resonate with your customers on a deeper level.
Clean rooms
Many data lakes and warehouses offer this service, ensuring their clients can not only store their data with them but can connect it with other partners in a secure environment and extract more information through the combined data sets versus their data on its own.
Brands and their partners recognize that they need to work together, and a clean room provides a secure environment to share their first-party data without exposing their sensitive data to their partner.
So, while we’re losing third-party cookies, brands and partners can still get value from first-party data by using a clean room to generate audience insights, segmentation strategies, personalized experiences and offers, media plans, and measurement and attribution.
Three ways data clean rooms can improve
Data clean rooms are a great way to facilitate data collaboration while ensuring sensitive data is not exposed.
Data clean rooms are not yet easy to use nor are they inexpensive. They require investment, both financially and resource allocation-wise, and you are not guaranteed to yield great match results. Let’s dive into three areas for data clean room improvement.
High cost
According to the IAB’s State of Data 2023, nearly two-thirds of data clean room users spent at least $200K on the technology in 2022. In addition, one-third of data clean room users expect the price of data clean rooms to rise in 2023. The high cost of this solution can make it inaccessible to smaller companies in the advertising space.
Resource intensive
Nearly half of the companies using data clean rooms have a team of six or more dedicated to the technology, according to the IAB’s State of Data 2023, while nearly a third of companies using data clean rooms have 11 or more employees focused on the technology. Data clean rooms are not turnkey solutions.
Inefficient matching
Even if companies are using clean rooms does not mean that they are automatically going to achieve great success. Identity fragmentation, data hygiene, and differing identifiers can suppress client match rates in clean rooms, leading to significant investment and a lackluster output.
How to get the most return on your clean room investment
The finish line for data collaboration in clean rooms is not just having a relationship with a clean room. Instead, you should incorporate an identity resolution solution in your clean room. By adding an identity solution to your clean room, you can:
- Resolve and match all your identity data, regardless of the identity data that you or your partner have, giving you a larger data foundation to analyze.
- Generate more valuable insights and information, leading to a better experience for your customers.
- Join data sets to create smarter activation and targeting strategies and produce more holistic measurement.
Experian can help you get started with identity resolution and data clean rooms
If you are investing in data clean rooms, that means you are committed to the best in data practices. Experian recommends going the extra step and that you also invest in finding an identity resolution solution. By doing this, you can see better match rates.
Experian offers this capability and has existing relationships with three clean room partners, Amazon Web Services, InfoSum, and Snowflake. In addition to collaborating in clean rooms, we offer collaboration in two other secure environments.
Contact us today to discuss how we enable identity resolution in clean rooms or to chat about our other collaboration capabilities.
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One of the biggest challenges marketers face when planning digital advertising campaigns is getting an adequate number of impressions that yields measurable results at the lowest possible cost. As agencies, operators and advertisers are increasingly challenged about media budget, it is more important than ever to plan campaigns that generate enough information at the lowest possible cost. Through our design, deployment and measurement of advertising on a variety of platforms, Experian has developed best practices when planning digital advertising campaigns. We share some of these here, to help marketers with future campaign planning to maximize marketing effectiveness at a minimal cost. Using Path to Purchase to Determine the Right Number of Touch Points The Path to Purchase Funnel provides a framework to determine the number of touchpoints required to turn a prospect into a buyer. There are various phases the consumer goes through at each contact, and these phases dictate the number of touch points (or ‘touches’) required to induce a purchase. In the table below, we’ve described what these phases are, and the number of touch points required for those phases. The required number of touches will vary greatly among marketers, who must consider the expected time for a prospect to make decisions, competition in the marketplace, the novelty of the offer, and the level of engagement of the audience. For example, 15-second or 30-second audio and video ads played during scheduled breaks in programming may require more repetition than an ad played at a moment of high engagement, such as when the user interacts with the app, or during a “pre-roll” advertisement view prior to streamed content. Determining the Target Number of Impressions Needed to Persuade The next step involves determining how many exposures will be required to get the impressions or touch points needed to satisfy the consumer’s path to purchase. Let’s say a marketer has decided that four impressions are enough to make the case for the consumer to purchase, and that the marketer plans to reach 1 million prospects during the campaign. Perhaps the most intuitive solution is to provide four impressions for each reached prospect, such that 4 million impressions would be served during the campaign. However, during a normal digital campaign, some prospects will have zero impressions while others will have many. Because of this, we recommend planning to reach a target fraction (typically 80%) of the audience to receive the required number of impressions for purchase. The following table shows the predicted percent of audience exposed by average number of impressions served. Factoring Advertising Half-Life into Impressions Required Advertisement decay, or the fading consumer memory that reduces ad effectiveness, should also be factored into determining the right number of impressions for a successful campaign. For example, if a campaign length is planned to be 6 weeks, but the half-life of the advertisement is only three weeks, then more impressions would be needed to attain the number of touches required for the path to purchase. When planning campaigns for our partners, we adjust the target mean exposure frequency by the square root of the proportion of campaign length over advertisement half-life. For example, assuming a 3-week half-life and a 6-week campaign, we should multiply our target 5.5MM impressions by to get 7.78MM impressions. In the table below, we’ve demonstrated several scenarios of varying advertisement half-life. Other Considerations During Post-Campaign Analysis Once the campaign is completed, Experian recommends analyzing the distribution of impression frequency to determine how closely the actual impression frequencies matched to what was predicted. If frequencies do not align with the predicted, check to see if these assumptions are met: Make sure that advertising impressions are independent of each other. If rules are in place such that a prior impression affects the likelihood of a subsequent impression, this can affect the impression frequency. Check that the entire targeted population is on the ad platform long enough to be available for targeting. Some campaigns may have been instructed to be deployed in phases, which could limit the number of impressions to be delivered. Confirm that exposures can only occur one at a time, so that the impressions are deployed at distinct time intervals, giving the consumer the opportunity to view the advertisement Planning a successful campaign is critical for a test-measure-learn environment for an agency, operator, platform or advertiser. While initial up-front costs can be expensive, the long-term value to the business is significantly greater if tests are designed and administered appropriately. As a result, spending a little extra time thinking about your consumer’s path to purchase, exposure frequency, and the half-life of your advertisement can pay significant dividends in developing your digital advertising strategy.
To our valued customers and partners,It’s been an exciting week here at Tapad! As announced in a press release this morning, Tapad is now a member of the Experian family. We’re thrilled to continue to grow as a leader in identity resolution under the umbrella of a global expert in data, analytics and technology. Tapad and Experian are deeply connected by our commitment to serving the needs of our customers; and with a focus on quality of the data we provide, we have a common goal for the future of identity in the advertising ecosystem. As part of this announcement, we wanted to assure you, our valued customer, that we remain deeply committed to serving you today just as we always have. Nothing will change in your daily operations with Tapad. Experian immediately recognized that the success and growth of Tapad was directly tied to the strength and depth of its team members. As such, the acquisition will not result in any changes to day-to-day contacts at Tapad, or processes with weekly graph deliveries and other product support. Experian’s faith and investment in Tapad’s future and the future of identity resolution underscores what we’ve always believed our products could achieve and that we will be able to continue serving brands, advertisers, publishers, and the advertising and marketing ecosystem for years to come. On a personal note, I am excited to be transitioning my role as Chief Operating Officer of Tapad to the General Manager position of a global business that’s achieved exponential growth over the past several years; culminating in this strategic acquisition that will no doubt bring even more value to our customers in the future. We remain committed to open communication and welcome any questions you may have. Thank you, Mark Connon | General Manager, Tapad
Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. Let's get to work, together At Tapad, we provide actionable insights for marketers to deliver better ad experiences to their consumers through identity resolution. Interested in learning more? Contact us today at sales@tapad.com for a more personal conversation about your identity strategy. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020