Request a callDetailed demographic and audience optimization based on what becomes pipeline
Google reports performance by location, device, time, audience and, on some formats, detailed demographics. PlanConversion reads these breakdowns against CRM outcomes, adjusts bids, schedules and exclusions, and removes segments that produce leads with no sales value.
Built for: Teams with enough conversion data to see patterns, and a CRM that records which leads became opportunities.
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What usually goes wrong
Optimizing to platform conversions
A segment can look cheap in Google and be worthless in the CRM.
Breakdowns are not reviewed
Poor locations, devices and hours keep spending quietly.
Small data is over-read
Low volume segments are cut on noise, losing good ones.
What is included
The exact scope is set after an initial diagnostic.
Location and market review
Country, region and city performance by pipeline, with exclusions.
Device and schedule
Bid adjustments by device and by day and hour where the data supports it.
Detailed demographics
Use available demographic and company attributes where formats allow, noting that availability varies by campaign type.
Audience performance
Compare audiences using sales outcomes, not just leads.
How it works
Join ad and CRM data
Map segments to qualified leads and opportunities.
Find real differences
Test whether patterns hold with enough volume.
Change in steps
Adjust bids and targeting one lever at a time.
Re-test
Re-read results monthly because segments change.
What you get
- Segment analysis
- Bid and exclusion changes
- Schedule and device plan
- Audience scorecard
- Monthly optimization log
How success is measured
Audience and demographic optimization: common questions
More Google Ads programs
Can we target by company size or industry in Google Ads?
Some formats offer company-level or detailed demographic options, but search targeting is mainly intent-based, and availability differs by campaign type and region. For account-level targeting, we combine Google with customer lists, LinkedIn or Demandbase.
How much data do we need to optimize by segment?
Enough conversions per segment to avoid noise. Where volume is low, we group segments or test for longer before acting.
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