The three things you need to make the most of first-party data

They’re also highly susceptible to signal loss. Users delete them, browsers block them, and devices multiply as people shift between mobile, desktop, and connected TV, making for inaccurate targeting, poor personalization, and ultimately wasted ad spend.

The industry is now moving toward more people-based approaches powered by deterministic data, anonymized identifiers, and clean room technology. These methods promise not just compliance, but greater precision, control, and ultimately, better outcomes for brands and consumers alike.

In a privacy-conscious landscape, building effective marketing demands a rethinking of how data is collected, activated, and measured. A truly modern data strategy stands on three essential pillars: a data spine, a connected planning platform, and advanced analytics and modeling.

Data spine

At the heart of any effective data strategy is a strong people-based data spine. This is a central repository of anonymized, structured, and privacy-compliant information that allows marketers to understand and engage real people, not just the devices they use.

IPG Mediabrands’ data spine is powered by Acxiom, which brings together verified identity data, behavioral insights, and demographic signals across millions of individuals.

This forms the foundation for building precise, addressable audiences, identifying high-value prospects, and creating lookalike segments with confidence. Brands can also suppress existing customers, ensuring more cost-effective spending.

By harnessing robust first-party data and enriching it responsibly with insights from trusted second- and third-party sources, we create deeply nuanced growth audiences that drive real, measurable business impact.

For example, it's now possible to match a client’s CRM file against Acxiom’s identity spine to identify high-value prospects or lookalikes. Rather than relying on surveys or broad demographics, we’re targeting actual individuals with specific attributes, using IDs that are pseudonymized and privacy-safe.

That means we can deliver more relevant messaging, suppress people who’ve already converted, and make better use of ad spend. Car manufacturers, for example, could benefit from suppressing the million or so people who have already purchased a car in that year, as they’re very unlikely to do so again.

Unlike third-party cookies, which are limited in scope, a data spine provides a consistent and scalable view of the consumer. It allows advertisers to move beyond rough demographic targeting to reach individuals based on real-world behaviors and preferences, all while staying within the boundaries of strict privacy regulations.

Planning platform

Great audience data means little without the ability to apply it effectively. That’s where IPG Mediabrands’ proprietary platform, Interact, comes in.

Acting as a connective tissue between insight and activation, Interact ensures that the same data spine used to define audiences is carried through every stage of the campaign lifecycle, from planning to execution.

Using a connected platform, comms designers can take a precisely defined audience and immediately see how that group consumes media across channels. These insights inform strategic media planning by identifying the right blend of channels, touchpoints, and timing.

Using a connected platform also allows planners to directly activate campaigns across digital, linear, and emerging media channels, without losing audience fidelity along the way. This eliminates the usual disconnect between strategy and execution, ensuring that the message reaches the right people in the right place, at scale.

Predictive modeling

The third pillar of a modern data strategy is a robust analytics capability that allows advertisers to understand how a campaign is likely to perform before they push the button on activation.

Advanced tools such as rapid-cadence market mix modelling and predictive attribution analytics enable advertisers to simulate different campaign scenarios against growth audience subgroups, testing how various channels, budgets, and audience segments might influence outcomes.

Instead of waiting for results after launch, advertisers can make informed decisions at the planning stage, and during campaign delivery – reducing risk and improving return on investment. This delivers true non-stop calibration.

This approach is particularly valuable in today’s omnichannel environment, where audiences move fluidly between platforms like connected TV, social media, and search. Traditional planning often treats these channels in isolation. Modern modelling makes it possible to understand how they perform collectively rather than individually.

Privacy and performance

As the ad industry shifts from relying on third-party cookies to more privacy-centric, effective data strategies, advertisers have a clear opportunity to build smarter, more resilient campaigns.

By combining a data spine, a planning platform, and predictive modeling, brands can deliver measurable business outcomes while respecting and protecting people’s privacy.