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Make noisy keywords profitable by applying ICP audience targeting

Use Primer inclusion audiences to force Google to only serve ads to searchers from within your ICP. You’ll lose reach — and that’s the point
When to use
Best for:
teams drowning in unqualified traffic from high-volume keywords like “best [category] tools” or “software for X”. Run this when quality > quantity, or when those one-size fits all search terms overwhelm you with junk leads.
Tools You’ll Need:
Primer
Builds ICP inclusion audiences
Google Ads
Applies audience filters to noisy unbranded campaigns
CRM (HubSpot/Salesforce)
Measures pipeline quality + conversion lift
Primer Pixel
Tracks website and activation events
Launch Checklist
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Budget:
≥$2K for a two-week test
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Include:
both inclusion-only and control campaigns
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Monitor:
delivery of test group to ensure impressions are served
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Ensure:
that conversion events are being pushed back to Google
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Tip:
Ensure that the keywords selected have very high search volume. Otherwise the test group won’t have any impressions.
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Schedule a demo to get any of your questions answered.
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Chatbots is a term I need to go after—but not in a broad sense. There’s too much noise from students, consumers, and use cases outside our business model. I’m using Primer audiences as a strategic constraint—like a box—to block out the junk and keep search focused on our true ICP.”
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Warning:
Expect lower reach — only 30–40% of your Primer audience can be matched in Google, and those users still have to search your keywords. This play trades volume for qualified intent.
Prerequisites:
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Pixel installed
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CRM connected (optional)
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Google Ads linked
Step 1
Identify “noisy” keywords
In Google Ads or Search Console, pull a list of your highest-spend, lowest-qualified search terms.
Create a separate campaign for these noisy terms — this isolates your test.
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Tip:
Avoid branded or competitor keywords — those already target intent, not noise.
Step 2
Build Your Inclusion Audience in Primer
Define your ICP in Primer using company size, industry, department, and seniority filters.
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Recommended Audience Size:
≥100K matched profiles for any delivery.
Step 3
Set Up a Google Experiment
Use Google Experiments (A/B) to split traffic 50/50 between the inclusion test and control.
Keep budgets equal and conversion tracking identical.
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Warning:
Expect impressions to fall 60–80%. That’s intentional. This is a precision test for quality, not scale.
Step 4
Run & Measure
Let the experiment run for at least 14 days (7 for ML stabilization, 7 for evaluation).
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Key Metrics:
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Qualified Rate
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Cost per Qualified Lead
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Activation-to-Opportunity Ratio
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What to expect

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If volume drops too far, consider broad match or add in additional noisy keywords back to Observation mode.
Metric
No Audience
Primer Inclusion
Lead Volume
Lead Volume
1,120
640
–43%
Qualified Rate
21%
44%
+110%
CPL
$1,180
$780
–34%
Opportunity-to-Close Rate
7%
11%
+57%
Metric
Lead Volume
No Audience
1,120
Primer Inclusion
640
Lead Volume
–43%
Metric
Qualified Rate
No Audience
21%
Primer Inclusion
44%
Lead Volume
+110%
Metric
CPL
No Audience
$1,180
Primer Inclusion
$780
Lead Volume
–34%
Metric
Opportunity-to-Close Rate
No Audience
7%
Primer Inclusion
11%
Lead Volume
+57%