At A Glance
Reaching the right audience is becoming more challenging as digital advertising grows increasingly fragmented, and privacy regulations change. 33Across addresses this by providing real-time intent signals and contextual insights, helping marketers connect with consumers across devices like CTV, mobile, and desktop. Integration into Experian's marketplace makes these solutions more accessible, helping advertisers achieve measurable results.In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Allison Dewey (Director, Data & Curation) at 33Across.
Navigating complexity in digital advertising
Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct?
Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals.
Marketplace integration milestones
What excites you most about bringing 33Across audiences into Experian’s data marketplace?
We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals.
Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale. Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today.
Retail demand signals
Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have?
Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness.
What makes these segments essential is their real-time nature – they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results.
B2B without cookies
Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment?
B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI.
We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world.
Use cases
With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences?
Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency.
Supply path innovation
As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance?
By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way.
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FAQs
By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available.
Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results.
Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable.
Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust.
Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop.
About our expert
Allison Dewey, Director of Data and Curation, 33Across
Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor’s degree in Psychology from Bates College.
About 33Across
Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences.
Latest posts
Hashed Email is a privacy-safe digital identifier that can further enrich and expand the functionality and utility of The Tapad Graph with access to Tapad + Experian’s universe of email data. This provides maximum coverage for targeting and measurement when combined with household and individual IDs such as Cookies, MAIDs, CTV IDs, and IP Addresses. Gain back a clearer view Recent data from DMA shows that 51% of people have held the same email address for over 10 years. Email address data by its nature is authenticated and reliable due to its longevity. When leveraging Hashed Email as an extended functionality of The Tapad Graph, we are able to link on average 5 email addresses to each individual, reaching up to 90% of households across the US. Hashed Email expands the customer view by adding new email address identifiers into The Tapad Graph that associate with traditional digital IDs and cookie-less IDs emerging in the marketplace. Reduce fragmentation; and instead of viewing the emails as multiple customers, with Hashed Email they can be viewed as one user profile. When enabled, clients who wouldn’t traditionally have access to first-party customer emails are able to associate and link privacy-safe emails to individuals and their households. Brands and retailers can use Hashed Email to extend these linkages across offline purchases associated with each email; connecting traditional digital identifiers between walled gardens, activation in programmatic media buys, and addressable TV. With the holiday season quickly approaching, access to Hashed Emails will instantly increase scale, connectivity and improve measurement when efficiency, personalization and holistic attribution are pivotal to marketing strategies. Let’s visualize how quickly the customer journey can become fragmented when email addresses that belong to the same person are not associated. Mary has 3 email addresses that she frequently uses. One for social media accounts Email ID 1, one for shopping accounts Email ID 2, and another for work Email ID 3. Mary is a brand loyalist to a top national retailer and whenever there is a new season, there is a high likelihood that she will purchase the latest seasonal decor from that store. She recently did some holiday shopping in-store where she purchased nearly the whole holiday line. Email ID 2 was used to send her a receipt. However, Mary annoyingly receives the store's ads on Facebook for holiday decor that she had already purchased. This is because the retailer has not yet identified that Email ID 1 and Email ID 2 belong to the same consumer. If the retailer were to leverage Hashed Email, they would be able to identify that both email addresses used belong to Mary. This association connects her multiple email addresses together, enables her offline purchases to sync with her online activity, and helps to determine the most accurate ROAS. Hashed Email is a cookie-free added view into consumer behavior for control over messaging and for measurement. When leveraging it’s possible to report back across all channels and devices in a universal format to know when and how conversions are taking place. Don't leave valuable data on the table Hashed Email has use cases beyond reducing wasted media impressions. Hashed Email’s full capabilities extend to campaign measurement and attribution modeling. When utilizing The Tapad Graph combined with Hashed Email, know from the first touchpoint to the last where your customers are engaging. But more importantly, know where households and the individuals inside of those households are converting across all of their digital devices, by using traditional digital IDs, cookie-less IDs, and Hashed Email to associate, measure, and correlate online and offline purchases. Imagine what your campaigns could look like this holiday season if you expanded your graph with up to 5 additional IDs per household. This impact could be a game-changer to scale this holiday season. Hashed Email is a reliable cookie-less digital identifier that expands your customer universe that connects online and offline activity while improving the customer experience and reducing wasted media spend. Enabling Hashed Email for the holiday season is not an opportunity that should be passed on. Where do you sign up, you ask? Get in touch
Identified in The 2021 Digital Advertising Trends Report published by Postclick, marketers are striving to improve and enhance their segmentation and targeting strategies in their digital ad campaigns. Carlos Lopez, SVP of Brand Planning at Digitas Health predicted that in 2021, the challenge will be to overcome the death of third-party cookies and still deliver a personalized advertising experience. It’s fair to say that his prediction will still be impacting marketers past 2021 with the delay of cookie deprecation. These goals along with the constantly changing digital landscape paint a challenging picture for even the most advanced marketers. Marketers can be prepared for the next era of digital marketing by finding the right mix of partners that offer privacy-safe, cookie-free solutions. Smart marketers will employ these solutions and compare these results with data from cookies. The Tapad + Experian Take The Tapad Graph enables brands, agencies, and ad tech platforms to identify and target individuals and households across their digital touchpoints. With this data, they can personalize messages across devices, measure and optimize throughout the customer journey, and then report back on conversions at the individual and household levels. Tapad, now part of Experian, leverages a machine learning algorithm that determines these connections at scale by using probabilistic models with authenticated, privacy-safe, real-time data. There are a myriad of cookieless IDs emerging in the marketplace, and it’s not likely going to be a one size fits all situation. In order to be prepared for the next era of digital marketing, marketers should diversify ID partners and be proactive with testing while the cookie is still around to benchmark against. With Switchboard, a module within The Tapad Graph, we’ve been able to develop connections between traditional digital identifiers (IP Addresses, MAIDs, CTV IDs) and the new wave of cookieless IDs (UID2.0, Panorama ID, ID5 ID) that will be utilized in the future. Here’s an example of what The Tapad Graph and Switchboard looks like at the Household level with various traditional digital identifiers and cookieless IDs. Get in touch
Marketers are under more pressure than ever before to prove ROI and efficiency of marketing activities in relation to business performance. On top of that, there are new privacy regulations and uncertainty around what new technologies will have to be implemented in order to replace the granular level targeting and measurement the industry historically has used third-party cookies for. It’s clear marketers are going to need the right tech stack and partners to continue to prove their team’s efficacy. We recently partnered with Forrester Consulting to evaluate the current state of customer data-driven marketing and surveyed over 300 global marketing decision makers at the brand and agency levels. We found that marketing is facing increased demands today, insights from the study include:Consumers expect brands to deliver engaging experiences across highly fragmented journeys. Seventy-two percent of decision-makers reported that customers demand more relevant, personalized experiences at the time and place of their choosing. Marketing runs on data, but the rules governing customer data usage are changing quickly. More than 70% of study participants stated that consumer data is the lifeblood of their marketing strategies, fueling the personalized, omnichannel experiences customers demand. These demands paint a challenging picture. Just as marketers are poised (and tasked) with delivering greater value to their organizations and customers, the ground rules are changing and threatening their ability to deliver. Indeed, 62% of respondents said that the forces of data deprecation will have either a “Significant” (40%) or “Critical” (21%) impact on their marketing strategies over the next two years. Effective identity resolution can help brands prepare for data deprecation challenges Marketers face a daunting landscape, but they can leverage the data, technology, and processes that comprise identity resolution to address business objectives, combat ecosystem complexity, and future-proof customer engagement efforts. By utilizing identity resolution, marketers will be able to match and connect multiple identifiers across devices and touchpoints. This allows for a cohesive, omnichannel view that enables brands to continue to deliver personalized and contextually relevant messages throughout the customer journey and without the use of cookies. The identity graph is the underlying infrastructure that defines connections between the numerous, fluid, and disparate identifiers created during moments of consumer engagement, turning disparate signals into addressable and actionable steps. These connections enable brands to bolster their ability to gain deeper customer insights and power audience building, attribution, and connected measurement. Identity resolution encompasses a wide range of capabilities that support an equally diverse set of marketing use cases. These include the targeting, personalization, and measurement of both known and pseudonymous audiences in the offline and digital worlds, which enables marketers to improve customer data management, drive more effective personalization, and gain insights and efficiencies through measurement across touchpoints. By taking the time to vet the privacy procedures and data collection processes of identity solutions you can reduce your regulatory risk and maintain customer trust. In an open-ended survey response, a marketer shared, “We’ve found that users are willing to volunteer data when they understand what it’s being used for and are asked for clear consent.” Finding the right partners to help navigate the changes The scramble to find an alternative to third-party cookies has slowed down since Google announced they will be delaying their cookie removal until late 2023. However, this gives marketers a unique opportunity to take advantage of the additional time and feel more prepared and confident in their solutions. With the delay, marketers can now test ID solutions and compare apples to apples with data from the third-party cookie while it’s still active and addressable. Test and find a solution that works now, so there are no surprises once cookies have finally made their way out the door in 2023. At Tapad, a part of Experian, we’ve developed a solution that provides agnostic interoperability for the myriad of cookieless identifiers emerging in the market. As a new module in the Tapad Graph, Switchboard will connect traditional digital identifiers to cookieless IDs to support the entire ad ecosystem with privacy-safe future-proof identity resolution. Get in touch