But success is not guaranteed by adoption alone. AI power users understand that peak performance is tied directly to the quality of the information fed into their systems.

Your company’s first-party data has always been a valuable differentiator. Businesses of all sizes now have the opportunity to benefit from sophisticated pattern recognition and predictive insights, all customized to meet their unique goals. However, unleashing this potential requires overcoming challenges that kept data locked away historically.

To effectively utilize first-party data for AI, marketing leaders must break down organizational and intelligence silos, connecting data sets, teams, and business outcomes. This is the key to achieving new levels of data strength and ROI. In this article, we’ll share practical tips on how to do just that.

Defining data strength: The path to optimal ROI

Many businesses have lots of data but struggle to use it. That's because customer information is often scattered across separate systems—like sales records, website analytics, and in-store purchases. When your data is disconnected, you can't see the full picture, which limits the power of your AI. The solution is to build data strength.

Think of data strength as a score for your data readiness and the value and variety of signal types you source. It helps you internally rate your data capabilities and understand two key things:

  1. Which data you should invest in: It shows you where to focus your efforts and which signal types may add additional value.
  2. How ready you are for activation: It evaluates your ability to connect disparate data systems with your AI.

The goal is to centralize all of your data sources to build a single, complete view of your customer for use in your digital marketing. When your data is strong and fully integrated, you get much better results and a higher return on investment. Here’s how to get started.

Four steps top advertisers take to improve their data strength

1. Connect all of your data sources, securely

The first step of your journey is to connect all of your data sources to one centralized system. This addresses data silos across your business, allowing you to overcome performance issues that arise from scattered information.

Data Manager streamlines data connectivity by offering direct connection workflows for major data platforms and API capabilities within a single tool, simplifying data flow management and troubleshooting. It also helps advertisers improve signal capture by allowing them to convert third-party tags to first-party tags. Using tools like Google tag gateway for advertisers, which is a lightweight solution with built-in privacy benefits that doesn't require retagging, can lead to an average increase of 11% in marketing signals.2

2. Maximize the quality of your data

Once the pipes are connected, the next step is to ensure your data is as strong as possible. Expanding the variety of signal types you ingest helps AI deliver more insightful recommendations, allowing you to maximize the impact of your investments.

This is a crucial step that relies on technical implementation on your site or by ingesting data into your own sales and data systems. We recommend prioritizing a variety of signal types:

  • Advertising signals: How your audience interacts with your ads, from where they click to what campaigns are driving the most interest.
  • Customer signals: Information that customers share with you, such as emails and phone numbers, to better understand their behavior across different devices.
  • Transactional signals: Determine the true value of a purchase or other key actions, ensuring you can accurately understand the impact of your marketing efforts and prevent counting the same conversion more than once.
  • Behavioral signals: Gain a deeper understanding of the customer journey, learning what actions users take on your website and how they engage with your content.

3. Activate your data with AI

With your robust, high-quality data in place, you're ready to activate it. This is where the tangible value of your data strength is realized, transforming basic information into actionable performance improvements.

Leverage AI-driven advertising platforms, such as Google Ads, to utilize your data as a crucial input across diverse applications.

  • Audiences: Discover preferred audiences and create new, similar audiences, so you can expand your reach.
  • Bidding: Use AI-powered bidding strategies that use your data to find new opportunities to optimize your bids in real time.
  • In-channel optimization: Advanced attribution models can understand exactly what drives sales within any given channel so you can optimize accordingly.

4. Demonstrate ROI

To demonstrate gains unlocked by your data you should take a modern approach to ads measurement. A strong data foundation allows you to accurately measure the KPIs that matter most to your business, such as revenue and profit. This involves using a modern measurement toolkit to prove the effectiveness of your advertising efforts:

  • Cross-channel optimization: Beyond simply measuring clicks, advanced attribution models help you understand which media touchpoints provide the most value. This includes multi-touch attribution, a cross-channel approach that interprets how much different channels influence the customer journey.
  • Incrementality experiments: Testing things like geo and conversion lift allow you to measure the true, incremental impact of your campaigns. Using a test and control arm approach you can determine whether an ad caused a conversion, rather than just being present in the user's journey.
  • Marketing mix modeling (MMM): These models use advanced statistics to correlate your marketing investments with sales, helping you optimize budgets across all your marketing channels and understand the overall contribution of different media.

By embracing these modern measurement practices, you can move beyond simple last-click metrics and gain a holistic view of your advertising's impact, proving the value of your data strength to the business.

From stronger data to improved ROI

Cultivating robust data strength is essential for driving demonstrable business outcomes in today's competitive landscape. It enables businesses to foster stronger customer relationships and significantly increase customer lifetime value.

AI anchored on rich first-party data fuels intelligent bidding optimization, ensuring your budget is deployed with maximum impact and efficiency. This isn't merely about refining current campaigns; it's about strategically empowering your organization for a future of growth. Forward-thinking business leaders must recognize superior data strength as an indispensable prerequisite for unlocking the full potential of advanced AI applications.