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01.11Predictive audiences

Find the next thousand customers who act like your best hundred.

Your analytics already contain the behavior pattern of the people who convert. Predictive audiences model that pattern and hand the ad platforms a list of people who match it — traffic that beats your baseline instead of diluting it.

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  • Google Analytics 4
  • Google Ads
  • Microsoft Ads
  • Google Cloud
AI Search & Visibility — the Zorva bot (illustration)Module 01 · AI Search
The problem

Platform defaults find the obvious buyers, then stall

Broad targeting and platform lookalikes find the easy converters quickly and then spend increasingly on people who look right but do not buy. Your own site data — pages viewed, sequences, timing, return visits — holds far more signal than the platforms use by default, and almost nobody puts it to work.

What we do

Scope of the work

  • 01Secure connection to GA4 and conversion data with no personal data leaving your property
  • 02Predictive models scoring visitors on likelihood to convert, purchase value and churn
  • 03Audience segments pushed into Google Ads and Microsoft Ads for targeting, bid adjustment and exclusion
  • 04Value-based bidding inputs so the platforms optimize for revenue, not just conversions
  • 05Holdout testing that proves incremental lift over your baseline
  • 06Ongoing model refresh as behavior and seasonality change
How it is measured
Conversion rate of predictive audiences vs. baseline
Cost per acquisition change after activation
Incremental conversions measured by holdout
Proposal

Scoped in a written proposal within one business day. The whole price is stated before work starts.

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How we run it

Predictive AI Audiences, step by step.

Step 01

Connect

GA4, conversions and CRM outcomes are connected with the privacy controls documented.

Step 02

Model

The behavior of your converters is modeled and every visitor is scored.

Step 03

Activate

High-propensity audiences go to Google and Microsoft Ads; low-propensity traffic is excluded or bid down.

Step 04

Prove it

A holdout group measures the lift so the value is never assumed.

Questions

Predictive AI Audiences, answered.

What are predictive AI audiences?
Audiences built by machine-learning models trained on your own analytics and conversion data. The model learns what behavior precedes a purchase or lead on your site and scores every visitor, so ad platforms can target the people most likely to convert and stop spending on the rest.
Is this different from Google's own predictive audiences?
GA4 offers basic predictive metrics when a property meets its thresholds. Our models use more signals, work for smaller properties, incorporate CRM outcomes and revenue, and are validated with holdout tests. They also feed Microsoft Ads, which GA4's built-in audiences do not.
How much data do I need?
A few hundred conversions over the trailing months is usually enough for a useful model; more data produces sharper scores. If you are below that, we start with value rules and graduate to a model as data accrues.
Is customer data safe?
Modeling runs on aggregated, pseudonymous behavioral data; no personal information is uploaded to the ad platforms beyond the audience membership they already support. The data flow is documented in writing before we connect anything.
Works with

Related capabilities

03.01

Google Ads Management

Consolidated broad-match campaigns, tracking verified before spend.

Open03.02

Microsoft (Bing) Ads Management

Bing and Copilot ads, tuned apart from Google.

Open06.01

Analytics, GA4 & Conversion Tracking

Conversion tracking where a conversion is a real lead.

Open04.04

Conversion Rate Optimization (CRO)

A/B tests on the pages your ads land on.

Open
All of module 01 · AI Search & Visibility →
Proposal

Get a written plan for Predictive AI Audiences in one business day.

Free scan first, then the written plan.

ReplyOne business day
ProposalWritten · scoped · priced
ContractMonth to month
Phone(629) 298-8241
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