Audience Targeting Strategy
/audience-targeting
Claude Code helps you map your customer base into targetable segments, define seed audiences for lookalike expansion, and select the right interest and behavioral layers for each campaign stage. It removes the guesswork from cold audience construction.
What this skill does
Map your customer data into distinct behavioral and demographic segments
Define seed audience criteria for lookalike creation on Meta and Google
Recommend interest and keyword targeting layers by funnel stage
Identify audience exclusions that prevent wasted spend on existing customers
How to use it
Describe your customer
Share your ICP attributes, existing customer data points, and which platforms you're running on.
Run /audience-targeting
Specify your campaign objective and budget range so Claude Code can recommend appropriate audience sizes.
Build the segments
Use the output as a targeting blueprint to configure ad sets directly in your ad platform.
Example prompts
$I sell project management SaaS to startups. Help me build a Meta cold audience strategy for a $5k/month budget targeting 25-40 year old founders.
$We have 2,400 paying customers. Design a lookalike audience strategy on Meta and Google using our customer list as the seed.
$Build an audience targeting plan for a LinkedIn campaign promoting a $500 B2B workshop on growth marketing.
Who it's for
Paid media managers launching new campaigns without historical data to guide targeting
Growth teams scaling past brand audiences into cold interest-based segments
B2B marketers building account-based advertising audiences from CRM data
Frequently asked questions
Does this work for B2B LinkedIn targeting too?
Yes. Claude Code can define LinkedIn audience parameters including job title, seniority, company size, and industry filters. It also helps you estimate audience size vs. specificity tradeoffs for LinkedIn's higher CPCs.
How do I use this with my existing customer list?
Describe your customer attributes or paste anonymized demographic and behavioral data. Claude Code will identify the strongest targeting signals and recommend how to build lookalike audiences from your highest-value customer segments.
What's the right audience size for cold campaigns?
It depends on your budget. Claude Code applies the general rule of allowing at least 50 conversions per ad set per week for algorithm learning, so it calculates recommended audience sizes based on your CPM and budget inputs.
Skills that pair well
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