At A Glance
Artificial intelligence can improve marketing performance when the data behind it is complete, accurate, and governed. This article explains three data investments that will improve AI’s value in marketing and shows how an AI-ready data foundation can help teams plan, activate, and measure.Advertising has entered a practical AI era, not the sci-fi version. Teams are already using models to predict outcomes, automate decisions, and tailor creative at scale. In plenty of cases, the technology does exactly what it should.
When results plateau, it’s rarely because AI “doesn’t work.” More often, it’s because the inputs aren’t built for what AI is trying to do. AI doesn’t invent customer understanding, but amplifies the foundation you feed it, good or bad. The upside is encouraging: when brands treat data readiness as a growth move (not an IT chore), AI becomes faster to activate, easier to trust, and simpler to prove.
Here are three data gaps that quietly cap AI’s value in marketing, and the investments that open up more room for measurable impact.
1. Why first-party data only gives you part of the picture
First-party data gives marketers a valuable view of customer activity, but it rarely tells the full customer story on its own. AI performs better when models can see both direct brand interactions and broader context, such as life stage, media behavior, and shifting intent.
First-party data captures how customers interact with your brand across email, websites, apps, transactions, and loyalty programs. First-party data is excellent at showing what someone did with you, but it’s less reliable at revealing who they are outside of those interactions. This narrower view can leave AI models optimizing around incomplete customer understanding.
A grocery chain may know a household buys cereal every week. But that doesn’t automatically tell you whether they’re a new parent, recently moved, in-market for a vehicle, or more likely to respond to a premium offer than a discount.
There’s another limitation to first-party data: AI tends to optimize around the patterns it can already see. When models rely primarily on first-party data, they often become highly effective at finding more customers who look like existing ones. While that can improve efficiency, it can also cause AI to overlook emerging audiences, changing consumer behaviors, or new sources of demand that aren’t yet reflected in the brand’s customer base.
AI thrives when context is available. Without it, models still produce outputs, but they’re forced to guess more often than anyone wants to admit.
Invest in the data foundation: Enrich for decisions, not vanity
To make first-party data more useful for AI in marketing, marketers should:
Brands can close these gaps by enriching first-part data with high-quality demographic, behavioral audience insights that support planning, activation, and measurement. Experian helps marketers build a more complete customer view by connecting first-party data with trusted marketing data and audience insight. When first-party data becomes more complete and consistent, AI stops optimizing around partial truths and starts driving decisions you can stand behind.
2. Why stale identity makes AI scale the wrong patterns quickly
AI can move fast, which makes identity accuracy and data freshness central to performance. If customer records are duplicated, outdated, or mislinked, AI can learn from the wrong signals and repeat those errors across campaigns.
A common example is simpler than people expect: a profile tied to the wrong household, or a record carrying outdated attributes. Even with sophisticated bidding, frequency, and creative selection, you’re still serving the wrong message to the wrong person, just more efficiently. This is where many “AI didn’t work for us” stories start. The more optimistic framing is that this is also where many turnaround stories start.
Invest in the data foundation: Make “one person” actually mean one connected view
Identity resolution gives AI a more stable base for targeting, personalization, and measurement. Marketers can improve that base by reducing fragmentation before data reaches the model. To make identity more reliable for AI in marketing, marketers should:
Accurate identity resolution is central to effective AI in marketing. When customer records are unified and current, AI models can recognize people and households more accurately, which improves targeting, personalization, and measurement. Fragmented or outdated identities can create errors, from duplicate messages to irrelevant offers.
Experian helps marketers organize, connect, and expand their data into a connected foundation, so teams can act on insights across systems, channels, and tools.
When identity and freshness hold up, AI has stable ground to stand on, and gains show up faster and more reliably.
3. How data governance makes AI scalable
Clear data governance helps AI programs scale. When teams know how data can be accessed, shared, and used, they can scale AI with greater confidence and fewer operational risks. As AI moves deeper into marketing workflows, data becomes more valuable, not only for targeting but for model training, personalization, and measurement.
That value cuts both ways. Sloppy access controls, unclear permissions, and vendor sprawl can erode customer trust and dilute business advantage. And when teams don’t feel confident in governance, they hesitate to scale. AI becomes a pilot project instead of a business capability.
The good news is that brands don’t have to choose between using data and protecting it. The winners operationalize both.
Invest in the data foundation: Treat governance as performance infrastructure
Data governance isn’t separate from AI performance and is the layer that helps leaders scale what works. To make data governance practical for AI in marketing, marketers should:
When teams understand how data can be accessed, shared, and used, they can move faster. Experian supports responsible data practices by building protection standards into activation workflows. That includes defining access by role, guardrails for partner data use, and compliance with privacy regulations. With these controls in place, brands can scale AI programs with greater trust.
The payoff: AI that’s faster, more relevant, and easier to prove
AI can raise the ceiling for advertising, but it can’t compensate for incomplete customer views, mislinked identities, or weak controls. It will accelerate what’s already happening, good or bad. The most successful brands will be the ones that make three investments: completeness, accuracy, and governance, so AI produces outcomes that can scale.
When the data foundation is ready, AI stops being a shiny layer on top of marketing and becomes a practical advantage inside it. Contact us to talk about building an AI-ready data foundation that supports stronger planning, activation, and measurement.
About the author
Jeremy Meade
VP, Data Operations & Governance, Experian
Jeremy Meade is VP, Data Operations & Governance, at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies.
FAQs
AI-ready marketing data is complete, consistent, current, and governed enough for models to use with confidence. It connects customer activity, identity, and outcome signals so AI can support better planning, activation, and measurement decisions.
First-party data shows how customers interact with a brand, but it may not show broader context such as life stage, household changes, media behavior or shifting intent. AI needs that added context to reduce guesswork and help marketers make more relevant decisions.
Identity resolution affects AI performance by helping models recognize people and households more accurately across systems and channels. When identities are fragmented or outdated, AI can repeat the wrong patterns through duplicate messages, irrelevant offers or misread campaign signals.
Experian helps marketers build an AI-ready data foundation by connecting first-party data with trusted marketing data, audience insight, and identity resolution. Experian’s identity foundation helps teams organize, connect and expand customer data so AI can support stronger planning, activation and measurement.
Data governance matters for AI marketing programs since teams need clear rules for access, sharing and use before they can scale with confidence. Strong governance helps brands protect customer trust, reduce data sprawl, and turn AI from a pilot into a business capability.
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Tapad, now a part of Experian, partners with WideOrbit to offer programmatic TV inventory
Featured storiesTapad expands linear TV analytics solution, enabling optimal reach and frequency across TV and digital platforms NEW YORK, Jan. 24, 2017 /PRNewswire/ — Tapad, now a part of Experian, has partnered with WideOrbit, the leading provider of advertising management software for media companies, to develop the industry’s first programmatic TV-buying platform powered by a device graph. Tapad is the leading provider of unified, cross-screen marketing technology solutions and was first to market with a device graph, the Tapad Device Graph™. WideOrbit’s robust supply platform and industry-leading footprint offers access to premium TV inventory on top networks, reaching more than 99 million households across local affiliates. The partnership pairs Tapad’s demand-side technology with WideOrbit’s supply-side inventory. As a result, marketers can leverage cross-device audiences in their TV buys for the first time. Additionally, integrating the Tapad Device Graph™ with digital feedback loops and audiences both accelerates optimization and enables precise audience discovery for TV marketers. “The integration of WideOrbit’s quality TV supply takes orchestrated cross-screen media buys to the next level,” said Marshall Wong, Tapad’s SVP of TV market development. “Marketers can now optimize TV campaigns within days instead of weeks. This also untethers them from buying against generic demographics like age and gender. By allowing brands to employ their own CRM or third-party data, we can move them much closer to audiences who will take action.” “Integrating Tapad’s device graph with WideOrbit’s programmatic marketplace delivers enormous value to marketers looking to add TV to cross-device campaigns,” said Ian Ferreira, EVP of programmatic at WideOrbit. “Television still delivers the most efficient reach of any medium, and Tapad’s platform now allows marketers to purchase premium broadcast inventory that extends the power of cross-screen campaigns to TV with a single, unified solution.” “Our clients build lasting relationships with consumers through thoughtful and pioneering marketing,” said Jeff Giacchetti, VP of digital at Mediavest Spark. “The strategic partnership of demand-side technology and supply-side inventory makes it easier for brands to find efficient, incremental reach and are critical in this endeavor.” For more information about Tapad’s cross-platform advertising solutions, please visit https://www.experian.com/marketing/consumer-sync. Contact us today
Global Engineering Team Staffing Up New Oslo Hub; Nordic Operational Team Also Slated for Q1’17 NEW YORK, Jan. 11, 2017 /PRNewswire/ — Tapad, now a part of Experian, the leader in cross-device marketing technology, is opening an office in downtown Oslo, Norway, effective January 16, 2017. This development reflects Tapad’s continued growth following its acquisition by the Telenor Group in early 2016. Tapad Oslo will be comprised of a globally-focused engineering team as well as an upcoming operational headquarters for the region. Jeff Olchovy, a senior Tapad developer and one of its earliest employees, will forge the company’s Nordic engineering presence by supporting the build-out of the team. The initial hiring plan of more than 20 open positions includes roles such as Head of Engineering, Senior Software Engineers and Solution Engineers. Plans for Tapad’s Nordic Region business line, including its leadership, will be announced within the first quarter of 2017. “Given the caliber of technical talent and our extensive network in the region, Oslowas the logical choice at this stage of our growth,” says Dag Liodden, Tapad CTO and co-founder. “This enables us to continue building out our innovative team on a global scale in a region that is close to our hearts and minds.” In collaboration with its New York-based developers, Tapad’s Oslo-based engineers will continue to advance the company’s renowned product portfolio, such as the Tapad Device Graph™. An early adopter of Scala and big data processing technologies, Tapad has long been an influencer in U.S. tech. “As the head of our platform group, which daily processes several petabytes of data and is the foundation for all of our real-time systems, Jeff is a highly respected engineer,” said Pål Høye, Tapad’s senior vice president of engineering. “Given his experience and skillset, he is ideally suited to find and lead an innovative team focused on building the industry-leading products we are known for.” About TapadTapad Inc. is a marketing technology firm renowned for its breakthrough, unified, cross-device solutions. With 91.2% data accuracy confirmed by Nielsen, the company offers the largest in-market opportunity for marketers and technologies to address the ever-evolving reality of media consumption on smartphones, tablets, home computers and smart TVs. Deployed by agency trading desks, publishers and numerous Fortune 500 brands, Tapad provides an accurate, unified approach to connecting with consumers across screens. In 2015, Tapad began aggressively licensing its identity management solution, the Tapad Device Graph™, and swiftly became the established gold-standard throughout the ad tech ecosystem. Tapad is based in New York and has offices in Atlanta, Boston, Chicago, Dallas, Detroit,Frankfurt, London, Los Angeles, Miami, Minneapolis, San Francisco and Toronto. Tapad’s numerous awards include: EY Entrepreneur of The Year (East Coast) 2014, among Forbes’ Most Promising Companies two year’s running, Deloitte’s Technology Fast 500, Crain’s Fast 50, Entrepreneur 360, Digiday Signal Award, iMedia ASPY Award and a MarCom Gold Award. Contact us today
Are Traasdahl, CEO and founder of Tapad, the leader in cross-device marketing technology and now a part of Experian, has been named Founder of the Year by the Global Startup Awards. The Global Startup Awards’ Founder of the Year Award recognizes an individual that has pushed the boundaries of technology to empower new innovations and ideas. The Global Startup Awards places each year’s regional category winners against each other to determine whose achievements stand out from the rest of the startup ecosystem through nomination, voting and jury evaluation. In May 2016, the Nordic Startup Awards named Traasdahl Founder of the Year. “Are is a force of nature and his creativity and passion know no boundaries, it seems,” said George Tilesch, Global Startup Awards juror and U.S. managing partner of Innomine Group. “Extra kudos for the mentoring work and the Norwegian superfund plans. Are knows giving back is of the utmost importance.” “Are is a superstar within the Norwegian startup ecosystem,” said Kim Balle, founding partner and CEO of the Global Startup Awards. “From the jury feedback I could see that not only are his impressive achievements the reason for their rating, but also his focus and ability to give back to the startup scene played an important factor in him winning the category.” “It is an enormous honor to be named Founder of the Year by the Global Startup Awards,” said Traasdahl. “I am so committed to fostering entrepreneurship both at Tapad and throughout the startup space. This win is a remarkable bookend for a stellar year that began with our acquisition by the Telenor Group and continued with best-in-class product innovation, superior solutions for our clients and our Propeller Program that is so dear to my heart.” Tapad’s Propeller Program hosts five early-stage companies at Tapad’s New York headquarters for one year to mentor them through global expansion. The participants of this inaugural program come from Traasdahl’s native Norway. For more information on the Global Startup Awards, please visit: http://www.globalstartupawards.com/#gsa. Contact us today