Google Pushes ‘Data Strength’ for Lead Gen With New Scoring, Bidding and Measurement Tools

Measuring lead generation ROI keeps getting harder. Sales cycles are longer, and unless a prospect fills out a form, it’s tough to see what drove the conversion. Google’s answer is “data strength,” the idea that advertisers should feed its AI bidding systems enough first-party data to optimize for closed revenue rather than surface-level actions.

In a new Ads Decoded episode recorded live at Google’s Rethink ROI event in New York City, Senior Product Manager Stephen Chang, Product Manager Natalia Böhm and Ads Product Liaison Ginny Marvin walk through what data strength looks like for lead-focused advertisers and how to give Google’s AI the data it needs to bid on closed-won revenue. The episode covers three tools:

• Data Manager: an expanded hub for centralizing first-party data workflows.
• Lead intent scoring: a new pilot for prioritizing the leads most likely to turn into sales.
• Journey-aware bidding: training Smart Bidding on delayed outcomes from long sales cycles.

The measurement updates behind it

The episode follows a Sept. 10 Google announcement of measurement updates. Data Manager is now integrated directly into Google Analytics and Display & Video 360, and Google says advertisers who connect offline and app data to Data Manager see an average 26% increase in incremental return on ad spend. Enhanced conversions are launching in GA and DV360, and Google says advertisers using them see an average 11% increase in Search conversions compared with standard conversion imports.

The Data Manager API is now universal and based on the IAB Tech Lab’s Event and Conversions API (ECAPI) standard, giving advertisers one setup for connecting audiences and measurement across major ad platforms. New built-in diagnostics flag data issues before they affect campaigns.

Google also introduced a Data Strength Uplift Metric in Google Ads, which estimates the additional conversions recovered by an advertiser’s first-party data setup. Google says advertisers who build data strength with Google tag gateway see an average 14% conversion uplift, and more than 20% for Demand Gen campaigns. Those are Google’s own figures, and the metric is an in-product estimate rather than an independent incrementality test.

Meridian upgrades

Google’s open-source marketing mix model, Meridian, got agentic features to help audit data quality, resolve errors and guide model building, along with back-end changes for faster analyses. Advertisers can now include brand signals such as branded Google query volume directly in models, and Meridian GeoX for causal geo experiments is now generally available.

For B2B marketers, the practical takeaway is that Google’s bidding gets better when it can see what happens after the form fill. Connecting CRM outcomes and offline conversions is what lets journey-aware bidding and lead scoring work.