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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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
Tom Rolph, VP EMEA at Tapad, part of Experian, says that ad-sponsored streaming services can be successful if they can deliver a higher quality viewer experience than other streaming services. Last week, Hulu, the streaming service acquired by Fox and now owned 60 per cent by Disney, announced it will be regularising its ad loads. The streaming service will be bringing ad breaks down to 90 seconds in an effort to deliver a better viewer experience. This is a positive move from Hulu and one which other ad-supported streaming services should follow in order to be successful in a competitive market. Previously ad breaks on Hulu could vary wildly, from 180 seconds to 240 seconds, due to existing deals with its three owners: Disney, Comcast and AT&T. Over in the UK, we haven’t suffered from quite as inconsistent an approach as in the US, but there is still viewer frustration with the ad experience on ITV Hub and All4, where the problem tends to be over exposure of the same ad. Therefore, this move to standardise ad break lengths for streaming platforms is one that should be embraced on both sides of the pond. An important shift in this space will be to limit the number of ads during each show, but have better ad targeting to minimise repetitive advertising and increase the ROI of ad spend. All of which can be accomplished by investing in identity resolution products that can support CTV devices. Last year Ofcom found that in the UK subscriptions to Netflix, Amazon and NOW TV have risen above those to traditional pay TV services. With Netflix and Amazon both ad-free and NOW TV only a limited ad funded model, it’s clear that there is a growing appetite for ad-free viewing models. A fact that is only further supported when you consider the role of the BBC and BBC iPlayer. But the picture isn’t entirely negative for ad-funded models. There is demand for great content on ad-funded services in the UK, with ITV Hub boasting over 1bn requests and 540m hours of TV watched. The ITV Hub mobile app has also been downloaded on over 27m devices across the country – with over 22m people now registered to ITV Hub database, including more than half of Britain’s 16-24 year olds. However, to continue to attract and retain younger viewers, the experience will have to improve. There are several areas where ad-supported streaming providers need to improve in order to remain top players in this space: Ad experienceAs explored above, both volume and repetition of ads can be a turn off for viewers, but with Brits already spending a total of £303.16m every month on TV streaming services, according to Finder.com, there is potential for free, ad-funded models to flourish as people hit a limit on what they are willing to spend. There are already signs of improvement with the ad experience, with ITV just signing a deal with Amobee to allow for addressable ads on ITV Hub, while Sky’s AdSmart technology remains best in class and has now crossed over the pond to be used by Comcast stablemate NBC. Server reliabilityA cursory search finds little evidence of ongoing reliability problems with Netflix, but much evidence of problems with ITV Hub and All4, which are both prone to crashing. To compete with bigger players with massive server farms, server capacity needs to be tackled. This is especially true when it comes to live events, where many people will recall ITV Hub’s famous fails during the World Cup. While even some of the larger players have had similar streaming issues (for example, Amazon’s move into live sports streaming when they had to pull UK streaming of the US Open Tennis due to user complaints), viewing experience should be prioritised as the space gets increasingly competitive. Getting the content rightAmazon and Netflix have huge content budgets, but UK broadcasters remain strong in this regard, Channel 4 has enjoyed viewing figures of 7.5m for the Great British Bake Off, while ITV pulled in 13.7m for I’m A Celebrity. By building on UK-specific content that speaks to UK audiences, ad-supported streaming services can continue to pull in more viewers. Mobile accessMore and more Brits are choosing to watch TV content on their smartphone or tablet, according to UKOM-approved comScore data. In fact, 6.5m adults visited the BBC iPlayer app to watch video on either a smartphone or tablet, edging out Netflix which attracted 5.8m Getting the experience right on mobile, with the option to download content so it can be viewed in areas of low or no signal, is key.If UK ad-supported TV stations can crack these key areas for their Connected TV offering then they will be set up to succeed and offer a true home-grown alternative to the US streaming giants. Full article here. Contact us today
Tapad's, part of Experian, SVP of Identity shows us how marketers might communicate seamlessly through emerging channels like voice, the smart home, and, yes, podcasts.In his relatively new role as senior vice president of identity at Tapad, a part of Experian, Ajit Thupil keeps a close eye on the evolution of marketing as it becomes more intent on using data and identity technology to track ROI. Here he sits with Chris Wood at Tapad’s New York offices to discuss the future of identity. (To capture the inventive atmosphere at this location, the room they chatted in was named after Leonardo da Vinci.) For Thupil, it all comes back to the customer, whether it’s a brand client or a consumer. Brands want measurability and customers demand a seamless experience across the many devices they use in a day. While consumers are understandably reticent about giving up personally identifiable information (PII), current identity solutions use anonymous data profiles to connect the dots at the individual or household level. Given the frequency that users switch devices, along with their tendency to share bigger screens like TVs, there’s no dearth of challenges for this “head of problem solving” to solve. Contact us today
Joint solution will enhance accuracy and reach across North America, EMEA and APAC NEW YORK, April 17, 2019 /PRNewswire/ — Tapad, a global marketing technology company and leader in digital identity resolution solutions, today announced a new joint capability with Arm®Treasure DataTM , a leader in enterprise customer data management. The partnership combines The Tapad GraphTM technology with Arm Treasure Data's robust enterprise Customer Data Platform (CDP), enabling advertisers in the Arm Treasure Data marketplace to access Tapad's datasets. With the integration of Tapad's Graph and Arm Treasure Data's existing first party data, marketers will be able to deliver scalable, cross-device messaging with precision. In addition, marketers can benefit from anonymous customer journey analysis, audience expansion and online and offline attribution. Arm Treasure Data's APAC market customers will have access to expanded audience reach by leveraging Tapad's global, proprietary datasets. While Tapad will be able to extend its presence into the APAC region, tapping into Arm Treasure Data's existing footprint. "The Tapad GraphTM is a trusted and established platform with a history of innovation," said Stephen Lee, Senior Director, Business Development, Arm Treasure Data. "Integrating Tapad's technology into the Arm Treasure Data CDP will allow for streamlined experiences across markets, achieving global scalable reach." For more information about The Tapad GraphTM, or to request a demo, visit our identity page. About Tapad Tapad, Inc. is a global marketing technology company and leader in digital identity resolution solutions. The Tapad GraphTM, and related solutions, provide a privacy-safe approach to connecting device identifiers to brand and marketer data, thereby allowing for enhanced measurement, attribution, reach and ROI of marketing campaigns. The Tapad GraphTM enables marketers around the world to maximize campaign effectiveness and drive business results. Tapad is recognized across the industry for its innovation, growth and workplace culture, and has earned numerous awards, including the TMCnet Tech Culture Award. Based in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo, and is a wholly owned subsidiary of Telenor Group. About Treasure Data Arm Treasure Data enterprise Customer Data Platform (CDP) unifies data from multiple sources – online, offline, IoT and device generated data – and empowers enterprises to disrupt their markets with superior customer experiences. Our customers are creating transformational customer relationships by connecting the data dots with our CDP. Arm Treasure Data is fully owned by Arm Holdings and has a global customer base of over 300 enterprises including Fortune 500 and Global 2000 companies. Our clients manage over 130 trillion records, resulting in more predictable and profitable business results. Contact us today