Three data investments that will improve AI performance

by Jeremy Meade, VP, Data Operations & Governance 8 min read July 2, 2026

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.

Devices and website graphics on the left connected to an illustration of a woman with purple hair surrounded by three icons with question marks

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:

Add contextual attributes and signals that help models prioritize audiences, messages, and spend

Establish consistent definitions and trusted data sources so “new customer,” “high value,” or “lapsed” means the same thing across platforms, teams, and AI workflows

Connect marketing and sales outcomes, so optimization tracks what actually matters, not what’s easiest to measure

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.

An illustration of a woman next to an AI icon next to an illustration of a man with glasses with x icons

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:

Resolve and deduplicate identities, so your AI isn’t learning from fragmented versions of the same customer

Keep linkages current, so models reflect today’s market, not last year’s assumptions

Run basic quality checks before data reaches a model or workflow (completeness, recency, mismatch flags, outliers)

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.

Illustration of a man surrounded by a web of icons that represent mobile, email, and connected TV

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.

An AI icon surrounded by a web of lines and circles

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:

Clarify who can use what, and for what purpose, so activation is fast and defensible

Build guardrails for collaboration that enable sharing without exposing sensitive information or creating uncontrolled copies

Simplify partner strategy with fewer integrations and stronger controls, so data and learnings don’t scatter across tools

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.

Data privacy and governance icon on a purple background

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.

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About the author

Smiling adult man with salt-and-pepper beard and short hair, wearing a blue plaid blazer and white button-down shirt, leaning against a stone wall with a blurred outdoor background.

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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