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.
Contact us
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.
Cookieless targeting 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.
Latest posts
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
Email hashing was originally intended to be used as an email security feature that has ended up being a very powerful marketing tool. A hashed email is a cryptographic function that changes an email address to a random code which can be used as an anonymous customer identifier. This code is privacy-safe and cannot be traced back to the customer’s email address. However, this hashed email can function like a digital passport that traces every behavior and action a customer takes when logged into an account that is authenticated with an email, making hashed emails a goldmine for customer data. Today emails are used across traditional publishers and within the CTV ecosystem; tying them to more consumer touch points than ever before. Why the emphasis now? Cookies are on their way out the door and have been the primary way that many marketers have tracked their existing and potential customers. In order to replace this granular level of data, marketers are likely going to need multiple solutions. With so many cookieless solutions and IDs appearing in the marketplace, the mapping of the customer journey is bound to be fragmented. Relying on first-party data, such as hashed email, is just one way to reduce that fragmentation; as it can serve as an authenticated starting point for cross-device identity resolution that can be leveraged for targeting, personalization and measurement. How can Tapad + Experian help? Tapad + Experian's Hashed Email Onboarding is a privacy-safe way to connect consumer email addresses to their related digital devices and other digital identifiers through high precision probabilistic identity. By onboarding hashed emails and incorporating them within your Tapad Graph file you can: Build a more holistic view of individuals and households and their relationship to email addresses in your first-party data set Leverage these relationships for increased cross-device scale for targeting Employ personalization tactics at the household or individual level across devices Create new audience segments and look-alike models for cross-channel activation Design more inclusive measurement and attribution for customer journey mapping Tapad, a part of Experian has built a hashed email onboarding product feature that works with the existing flexibility of The Tapad Graph to deliver the most holistic consumer view, combined with the attributes you need, in the structure that works best for your business objectives. Get in touch
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