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audience-expansion-strategy

Expand targeting without wrecking CPA — lookalike ladders, seed quality, audience layering, and exclusion hygiene across platforms. Use when a user wants to scale beyond exhausted audiences, build lookalikes, fix audience fatigue, or set up exclusion lists.

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The canonical home for this skill is audience-expansion-strategy in Synter-Media-AI/plugin

SKILL.md
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Audience Expansion Strategy

Expansion is a ladder, not a leap: each rung trades a little efficiency for a lot of reach, and you climb only when the rung below is saturated.

Confirm the account and inventory what exists: list_connected_accounts, list_audiences, and performance per audience via the supported performance tools (pull_google_ads_performance, pull_meta_ads_performance, pull_linkedin_ads_performance, pull_microsoft_ads_performance, pull_reddit_ads_performance).

1. Audit before expanding

Find which audiences drive 80% of conversions, which run above target CPA, and which show fatigue: frequency climbing past ~3-4/week, CTR down 20%+ week over week, CPA up 25%+ week over week. Expansion fixes saturation; it does not fix a broken offer or tired creative (see ad-copy-generation).

2. Climb the expansion ladder

  • Tier 1, hottest: retargeting pools and 1% lookalikes of customers. Expect ~0.5-0.8x average CPA.
  • Tier 2, warm: 1-3% lookalikes from high-value customers, synced prospect lists, engaged audiences. ~0.8-1.2x.
  • Tier 3, cool: 3-5% lookalikes, in-market and interest targeting, competitor-interest audiences. ~1.2-1.8x.
  • Tier 4, cold: 5-10% lookalikes, broad/algorithmic targeting. ~1.5-2.5x.

Add one tier at a time with its own budget and CPA ceiling; kill any rung that exceeds its ceiling with volume behind it (see kill-scale-rules).

3. Build lookalikes from quality seeds

Seed quality decides lookalike quality. Ranked: top-20%-by-LTV customers, then all converters, then intent signals (cart, demo, offer page), then engagement signals. Practical minimums for good results are ~1,000 matched users on most platforms regardless of lower stated floors. Two improvements that consistently cut lookalike CPA: seed from top-value customers instead of all customers, and seed from recent (90-day) converters instead of all-time. Refresh seeds monthly.

Review existing seeds with list_audiences. Ask the account owner to create any required expansion audiences in the platform UI, then compare them in a controlled test. Use returned audience IDs in supported campaign-plan fields; follow launch for approval.

4. Layer for precision, exclude for hygiene

Describe the intended account criteria, exclusions, and layering. Use research_campaign_opportunity for available campaign research; hand off audience construction to the platform UI.

Mandatory exclusions on every prospecting campaign:

  • Existing customers and recent converters; ask the account owner to refresh suppression lists weekly.
  • All retargeting pools — prospecting money should buy strangers.
  • Employees and CRM-disqualified leads.

Sequential exclusion prevents one user being hit at every funnel stage at once: awareness excludes considerers, consideration excludes converters, conversion excludes purchasers.

When uploading lists, format for match rate: lowercase and trim emails, E.164 phone numbers with country code, first and last name in separate fields. Hashed email plus phone typically matches 55-80% of records on Meta and Google; email alone matches meaningfully less. A list that matches under 30% is a data-quality problem, not a platform problem.

5. Decide when to hand targeting to the algorithm

Meta Advantage+ audiences and Google Optimized Targeting treat your audiences as suggestions and expand beyond them. Turn them on with strong conversion volume (50+ conversions/week on Meta, 30+/month on Google) and real budget; keep them off for niche B2B ICPs, thin pixels, or when testing a specific audience hypothesis. Exclusions are respected either way — which is another reason the suppression lists must be current.

6. Monitor and rebalance

Weekly: the supported performance tools (pull_google_ads_performance, pull_meta_ads_performance, pull_linkedin_ads_performance, pull_microsoft_ads_performance, pull_reddit_ads_performance) per audience tier. Scale rungs beating target, refresh creative on fatiguing ones, and rebalance spend across tiers with optimize_budget. When an expansion audience wins, feed its converters back into the seed pool — the ladder compounds.

Rules

  • One new tier at a time, each with a pre-set CPA ceiling. Expansion without a ceiling is just spray.
  • Never expand to escape creative fatigue; rotate creative first (see creative-testing).
  • Suppression lists refresh weekly, everywhere. One stale platform re-buys your own customers.
  • Judge broad/algorithmic tiers on incremental performance, not platform-attributed CPA (see attribution).
  • Check overlap when adding audiences on the same platform. Two campaigns bidding on the same users compete against themselves.
  • Preflight every new audience campaign before enabling it (see campaign-preflight).
Repository

Synter-Media-AI/plugin

Path

packages/claude-directory/skills/audience-expansion-strategy/SKILL.md

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Canonical home

Synter-Media-AI/plugin
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since Nov 11, 2026

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