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    Ad Performance Fatigue Monitor

    1

    Diagnostic tool to identify ad creative fatigue, separate signals from noise, and generate data-backed refresh plans.

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    Ad Performance Fatigue Monitor

    Ad Performance Fatigue Monitor

    Example session with this skill installed

    Audit this Facebook campaign data from the last 3 weeks.
    Week 1: $1k spend, 1.2% CTR, $0.80 CPC, 1.8 Frequency, $45 CPA.
    Week 3: $1k spend, 0.7% CTR, $1.40 CPC, 3.4 Frequency, $68 CPA.

    • Read your context and instructions
    • Compiled the ad performance fatigue

    The campaign is showing clear signs of significant creative fatigue. While spend remained constant, the 41% drop in CTR alongside a near-doubling of frequency indicates the audience is tuning out the current creative.

    Ad Fatigue Audit: Campaign Snapshot

    SignalEvidenceStrengthSupports Fatigue?
    Frequency1.8 to 3.4 (+88%)StrongYes
    CTR1.2% to 0.7% (-41%)StrongYes
    CPC$0.80 to $1.40 (+75%)ModerateYes
    CPA$45 to $68 (+51%)ModerateLikely

    Fatigue Confidence: High
    The correlation between rising frequency and deteriorating engagement metrics (CTR/CPC) is a textbook fatigue pattern. Because CPA rose in tandem with CPC, the creative is likely the primary bottleneck rather than a sudden landing page issue.

    Creative Refresh Concepts

    ConceptFatigue ProblemNew AngleHookVisual
    The Direct CalloutCurrent hook is ignoredProblem-specific"Tired of [Problem]?"Split-screen: Problem vs Solution
    Social Proof PivotVisual is stagnantBenefit/Trust"Why 500+ developers switched."Fast-paced user testimonial clips
    The DemonstrationMessage is abstractEducation"See how it works in 15 seconds."Screen recording of core workflow

    Creative Fatigue Test Matrix

    TestCurrent CreativeRefreshPrimary VariableHypothesis
    Hook TestOriginal StaticDirect Callout HookHeadline/HookA direct problem hook will recover CTR.
    Format TestOriginal StaticThe DemonstrationFormat (Video)Video demonstration will reduce CPC via better engagement.

    Next steps

    1. Launch 'The Direct Callout' static ad as a split test against the current winner.
    2. Produce a 15-second demonstration video to test if a format shift breaks the frequency blind-spot.
    3. Monitor CTR over the first 48 hours to confirm the engagement trend reverses.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Performance plateaus are often misdiagnosed. Marketers frequently waste budget refreshing creative that isn't fatigued, or they overlook rising frequency and declining CTR until ROAS has already collapsed.

    What it does

    • Identifies creative fatigue by analyzing trends across frequency, CTR, CPC, and conversion metrics.
    • Distinguishes between creative wear-out and external factors like auction pressure, seasonality, or landing page friction.
    • Classifies fatigue confidence levels (Low, Moderate, High) to prevent knee-jerk campaign changes.
    • Generates specific refresh strategies, ranging from simple hook swaps to complete concept pivots.
    • Builds controlled test matrices to ensure new creative variants provide measurable learning.

    Why this beats prompting it yourself

    Most LLMs default to generic marketing advice or hallucinate performance improvements. This skill enforces a strict diagnostic workflow that requires multi-signal alignment before declaring fatigue, preventing expensive and unnecessary creative resets.

    Use cases

    • Weekly campaign health audits to catch early warning signals before CPA spikes.
    • Root-cause analysis when performance drops to see if the hook, visual, or offer is the culprit.
    • Creative team briefing to provide data-backed directions for the next sprint of ad variants.

    Known limitations

    Cannot access live ad accounts directly. Requires manual entry or pasting of campaign and creative-level performance data.

    ⭐ Core Features 📉 Fatigue Signal Detection Cross-checks frequency + CTR + CPC + CPA + ROAS + retention + engagement instead of relying on one number. 📊 Trend Analyzer Compares early, middle, and recent campaign periods to identify meaningful deterioration. 🎨 Creative-Level Diagnosis Identifies which creatives appear healthy, declining, fatigued, or under-tested. 🔍 Alternative-Cause Detector Helps distinguish creative fatigue from: Audience saturation Offer problems Landing-page problems Auction changes Tracking issues Seasonality Budget/delivery changes Placement changes 🚦 Fatigue Confidence Classifies the diagnosis as: Low / Moderate / High with reasoning. ♻️ Refresh Strategy Determines whether to change: Hook → Visual → Angle → Format → Entire Concept 🧪 Refresh Test Builder Creates controlled tests with clear hypotheses and metrics. 🔄 Recurring Campaign Analysis Can compare new campaign snapshots against previously supplied data to identify what changed.

    Requires manual data input or pasting of campaign metrics. Does not guarantee performance recovery or specific ROAS outcomes after a refresh.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    What's inside

    Frequently Asked Questions

    This skill protects your budget by using a multi-signal diagnostic workflow to confirm if performance drops are actually due to creative fatigue or external factors like seasonality or auction pressure. It prevents 'knee-jerk' resets by classifying fatigue confidence as Low, Moderate, or High before you spend resources on new assets.

    The skill is designed for cross-platform compatibility; as long as you can provide standard metrics like Frequency, CTR, CPC, and ROAS, it can analyze data from Meta, Google, TikTok, or LinkedIn. It works with any LLM that supports text and data analysis, such as ChatGPT, Claude, or Gemini.

    You will receive the proprietary diagnostic framework and the Refresh Test Builder. Because it does not require direct API access to your ad accounts, setup is instant—simply follow the included instructions to input your campaign performance snapshots.

    Unlike generic prompts that might suggest changing a headline at random, this skill enforces a strict 'Hook → Visual → Angle → Format' hierarchy. It analyzes where the specific drop-off is occurring to tell you exactly which element of the creative needs a refresh versus a total concept pivot.

    The skill includes a Recurring Campaign Analysis feature, allowing you to compare your most recent performance data against previous snapshots. This helps track the 'decay rate' of your creative over weeks or months to predict when a complete refresh will be necessary.

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