Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. Platform: Meta.
git clone https://github.com/irinabuht12-oss/marketing-skills.git--- name: frequency-cap-recommendations description: Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. Platform: Meta. metadata: platform: Meta --- # 18/ Frequency Cap Recommendations — Meta ## What it does Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. ## How it works Claude correlates frequency levels with conversion rates, CTR, and CPA across your campaigns. It finds the inflection point for each campaign type — the frequency at which performance starts declining — and recommends caps that maximize reach and conversions while cutting waste from overexposure. ## Practical example Your Meta prospecting campaigns show that conversion rate peaks at frequency 2.3 and drops 40% by frequency 4. But your current average frequency is 5.1, meaning a significant portion of impressions are hitting people who've already seen the ad too many times. Claude recommends a frequency cap of 3 per 7 days for prospecting. For retargeting, the data shows conversions continue up to frequency 6 before dropping — so a cap of 5 per 7 days is appropriate. Estimated savings from capping: $3,400/month redirected to fresh reach. ## What you get back - Current frequency distribution across all campaigns - Optimal frequency by campaign type based on your actual conversion data - Recommended caps with projected spend savings - Estimated additional reach you'd gain by redirecting overexposure spend to new users - Frequency-to-conversion curve showing exactly where diminishing returns kick in ## When to use it - When CPMs rise and you suspect audience saturation - Monthly frequency audits across all Meta campaigns - When scaling spend and frequency climbs as budgets increase - After creative refreshes to reset frequency baselines and set new caps ## Data access (Ryze MCP) This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly: - claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → `https://connector.get-ryze.ai/mcp` - Claude Code: `claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp` - Cursor: Settings → MCP → add the same URL Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
["Gather your Meta Ads data: Export frequency metrics from Meta Ads Manager (Columns: Campaign Name, Ad Set, Frequency, Impressions, Clicks, Conversions, ROAS).","Identify your campaign objectives: Note which campaigns are optimized for Traffic, Engagement, Conversions, etc.","Run the analysis: Paste the exported data into your AI tool (e.g., Claude, ChatGPT) using the prompt template above. Replace [PLACEHOLDERS] with your specific details.","Implement changes: Adjust frequency caps in Meta Ads Manager under 'Ad Set' settings. Use the recommendations to reallocate budgets or pause underperforming campaigns.","Monitor and iterate: Track performance for 7-14 days after changes. Re-run the analysis if ROAS or conversion rates don’t improve to refine caps further."]
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git clone https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendationsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
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Analyze the frequency data for my Meta Ads campaigns targeting [AUDIENCE_SEGMENT] with the objective of [CAMPAIGN_OBJECTIVE]. Identify the frequency cap thresholds where impressions stop driving conversions and start becoming wasteful. Recommend optimal frequency caps for each campaign/ad set based on [PERFORMANCE_METRICS]. Flag any campaigns exceeding these caps by [X]% and suggest adjustments to [BUDGET_ALLOCATION] or [CREATIVE_ROTATION].
After reviewing your Meta Ads account for the 'Sustainable Lifestyle' audience segment with the 'Conversions' objective, here are the key findings: **Frequency Cap Analysis by Campaign:** 1. **Campaign A (Brand Awareness)**: Currently serving at 4.2 frequency with a 1.8% conversion rate. The data shows diminishing returns after 3 impressions per user, with a 35% drop in ROAS beyond this point. Recommend reducing frequency cap to **3 impressions per user** and reallocating 20% of the budget to Campaign B. 2. **Campaign B (Traffic)**: Serving at 2.1 frequency with a 3.2% CTR. Performance peaks at 2.5 frequency but declines sharply afterward. Maintain current cap of **2 impressions per user** and consider increasing budget by 15% to capture underexposed users. 3. **Campaign C (Conversions)**: Frequency at 5.7 with a 0.9% conversion rate. The inflection point is at 4 impressions, where ROAS drops by 40%. Reduce frequency cap to **4 impressions per user** and pause underperforming ad sets (CTR < 1.5%). **Actionable Recommendations:** - Adjust frequency caps in Meta Ads Manager under 'Ad Set' settings for Campaigns A and C. - Shift $1,200/week from Campaign A to Campaign B to optimize reach. - Replace low-performing creatives in Campaign C with new variants (test 3 new images). - Monitor performance for 7 days post-adjustment; expect a 12-18% improvement in ROAS based on historical trends. **Red Flags:** - Campaign A is overserving users by 40%, wasting an estimated $800/month. - Campaign C’s high frequency is likely cannibalizing conversions from Campaign B.
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