Ad fatigue check
Detect creative fatigue across active ads — rising frequency, declining CTR week-over-week, and CPM drift — score each ad FATIGUED / WATCH / FRESH, and hand the evidence to a creative refresh. Use when the user asks whether creatives are worn out, why CTR is falling, if frequency is too high, when to rotate or refresh ads, or requests クリエイティブ疲弊チェック / 広告の疲弊を確認 / フリークエンシーが高い / CTRが落ちてきた / そろそろ差し替え時か. Reads active ads per platform, applies documented fatigue thresholds with noise guards, and routes fatigued ads to /creative-generate or /creative-refresh.From its SKILL.md
npx -y skills add logly/mureo --skill ad-fatigue-checkAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Ad Fatigue Check
PREREQUISITE: Read
../_mureo-shared/SKILL.mdfor auth, security rules, output format, and Tool Selection (Read/Write on Code,mureo_strategy_*/mureo_state_*MCP on Desktop / Cowork).
Find the ads whose audience has seen them too many times. Creative fatigue is a slow leak — the same creative keeps spending while frequency climbs, CTR erodes, and CPM drifts up as the algorithm works harder to place a tiring ad. This skill reads active ads per platform, measures the fatigue signals the tools genuinely expose, scores each ad against documented thresholds (with noise guards so a single slow day never triggers a rotation), and hands the fatigued ones to a creative refresh with the evidence attached.
Prerequisites
- STRATEGY.md and STATE.json must exist (run the
onboardskill first)
Steps
Before you start: Run the Diagnostic preamble from ../_mureo-shared/SKILL.md — load learning insights (mureo_learning_insights_get) and consult advisors (mureo_consult_advisor) before drawing conclusions.
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Establish today: call
mureo_state_getfirst, on every host (including Claude Code, where you would otherwiseReadthe file) and takeserver_nowfrom its response — ISO 8601 with UTC offset, e.g.2026-07-28T10:12:33+09:00. Its date is the only source of the current date for this run: theobservation_dueyou write in step 9 isserver_now's date + 14 days. (The week-over-week windows in step 3 are platform-side period tokens —last_7d/LAST_7_DAYS— so the platform resolves those against its own clock; do not hand-build date ranges for them.) Do not shell out (this skill must run in Bash-less headless hosts) and do not read the date off STATE.json —last_synced_at,reports.*.periodandaction_logtimestamps are history, never evidence of what day it is now. Never writeserver_nowinto STATE.json: it is a response field, and a persisted copy becomes tomorrow's stale "today". -
Load context: Read STRATEGY.md (Goals, Operation Mode) and STATE.json. Note any learning insights about fatigue thresholds — a VALIDATED insight ("this account tolerates frequency 5 before CTR drops") overrides the default rubric in step 4.
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Discover active ads per platform — not running is not fatigued, on every platform. Before scoring anything, exclude each ad whose delivery-status field (
effective_statuswhen the platform reports one, otherwisestatus) is not that platform's active value, and say so rather than scoring it: a stopped ad has no fatigue to measure, and its soft numbers are the stop, not a worn-out creative. This exclusion is platform-independent — the bullets below only say which tool and which value each platform uses.- Meta:
meta_ads_ads_list, and keep only ads whoseeffective_statusisACTIVE— that is the field that says an ad is really delivering. An ad can readstatus: ACTIVEwhile itseffective_statusisPAUSED/ADSET_PAUSED/CAMPAIGN_PAUSED/DISAPPROVED, and it iseffective_statusthat decides. In BYOD mode this response is wrapped as{"source": "byod_import", "as_of": <import time>, "data": [...]}— take the rows fromdataand treat them as ofas_of, not as live. - Google Ads:
google_ads_ad_performance_reportscoped to ENABLED ads. - Also include any hosted connector (TikTok, key
tiktok_ads) /mcp__mureo__<plugin>_*plugin platform best-effort, reporting only what its own tools expose and emittinganalytics_not_available_for_<platform>for the fatigue value-adds below —<platform>being the canonical platform key (plugin:<dist>:<provider>for a plugin,tiktok_adsfor the connector), never an analyticsregistry_name(see../_mureo-shared/SKILL.md→ Canonical platform key). BYOD data is reachable only through mureo MCP tools — do not look for raw CSVs in the project directory.
- Meta:
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Measure fatigue signals — honestly, per what the tools expose:
- Meta — frequency (derived, not a direct field). mureo's insights tools do not return a
frequencyfield — butmeta_ads_insights_reportreturns bothimpressionsandreach, and frequency is defined as impressions ÷ reach. Compute it yourself frommeta_ads_insights_report(levelad, windowlast_7d):frequency ≈ impressions / reach. This is Meta's own definition, so it is an honest derivation, not a guess. Ifreachis 0 or absent for an ad, the frequency is undefined — say so, do not divide. - Meta — CTR trend, week-over-week.
meta_ads_insights_report(levelad) exposesctrbut no built-in trend. Get two adjacent weeks the same way weekly-report does: pulllast_7d(this week) andlast_14d, then derive the prior week aslast_14dtotals −last_7dtotals. Compute the CTR change % between prior-week and this-week. - Meta — CPM drift.
meta_ads_insights_reportreturnscpm; compare this-week vs prior-week CPM (same subtraction technique). Rising CPM on a flat audience is a fatigue corroborator.meta_ads_analysis_costalso decomposes a campaign's cost change into CPM inflation / CTR drop / creative fatigue drivers — use it to corroborate at campaign level. - Google Ads (Display / RSA whole-ad). Ad-level CTR trend from
google_ads_ad_performance_reportover adjacent windows (LAST_7_DAYSvsLAST_14_DAYS, same subtraction); Google Ads exposes no frequency at the ad level here, so score Google display/RSA ads on the CTR-trend signal only and say so. - Google Ads Search — RSA fatigue is asset-level, not ad-level. A Responsive Search Ad tires one asset at a time; whole-ad CTR hides it. Reference the RSA audit tools instead:
google_ads_rsa_assets_audit(replacement recommendations) andgoogle_ads_rsa_assets_analyze(per-assetperformance_label+ CTR) to find LOW/POOR assets to swap.
- Meta — frequency (derived, not a direct field). mureo's insights tools do not return a
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Fatigue scoring rubric (document the thresholds; let learning insights override them):
- FATIGUED — frequency ≥ 3.5 AND CTR decline ≥ 20% week-over-week (both signals present).
- WATCH — exactly one signal present (frequency ≥ 3.5 alone, or CTR decline ≥ 20% alone, or a clear rising-CPM + softening-CTR pair).
- FRESH — neither signal. These are defaults, not laws — a VALIDATED learning insight for this account/Persona replaces them, and Google display/RSA ads (no frequency) can reach WATCH on CTR decline alone but not the two-signal FATIGUED bar unless corroborated by CPM drift.
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Noise guards (apply before assigning any verdict):
- Minimum impressions per window: require ≥ 1,000 impressions in each of the two adjacent windows before reading a CTR trend (the CTR sample floor from
../_mureo-learning/SKILL.md). Below that, the ad is insufficient-data, not fatigued. - Single-day dips never count — the comparison is week-over-week on 7-day windows precisely so one bad Tuesday cannot trigger a rotation.
- Learning-state noise is not fatigue. An ad whose ad set is in its Meta learning phase (new, or recently reset by a significant edit), or whose Google Ads bid strategy shows "Learning", has unstable delivery by design — soft CTR and drifting CPM there are the learning window, not a worn-out creative. Mark those insufficient-data / re-check after the window, never FATIGUED, and do not rotate creative on that basis (a creative swap resets the phase again). See
../_mureo-pro-diagnosis/SKILL.md→ Allocation & Learning-State Discipline. - Note confounders: a new competitor, a seasonal lull, or a landing-page change can mimic fatigue — flag them rather than blaming the creative.
- Minimum impressions per window: require ≥ 1,000 impressions in each of the two adjacent windows before reading a CTR trend (the CTR sample floor from
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Ranked table — worst first:
Ad Campaign Frequency CTR w/w CPM w/w Impr (this/prior) Verdict Ad A Prospecting 4.2 −27% +14% 32k / 30k FATIGUED Ad B Retargeting 3.6 −8% +3% 18k / 17k WATCH Ad C Brand 1.8 −4% +1% 21k / 20k FRESH -
Recommendations — rotate / refresh, with the evidence as the brief: For each FATIGUED (and borderline WATCH) ad, hand off to a creative workflow, passing the fatigue evidence (frequency, CTR decline, the tiring asset) as the input brief:
- New visuals + composed banners →
/creative-generate. - Copy / headline refresh, RSA asset swaps, Performance Max asset-group text →
/creative-refresh. Do not silently produce new creative here — this skill diagnoses and routes; the creative skills generate under their own approval gates. Route, do not promise. Whether mureo can apply a rewrite depends on the surface, not on the verdict:/creative-refreshruns its Apply or draft check per item and may come back with copy for the operator to paste in by hand (every image, video and logo asset today, and any surface whose write tool is absent from the session). Hand the fatigue evidence over as the brief; do not tell the operator here that the creative will be rewritten, and do not offer the rewrite yourself — from this skill you cannot see which write tools cover the tiring asset.
- New visuals + composed banners →
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Pausing a clearly-fatigued ad — approval gate: Pausing is a write. Apply the Confirm Before Write Operations rule from
../_mureo-shared/SKILL.md: list the ad(s), their current spend/frequency/CTR, and confirm before pausing viameta_ads_ads_pause(Meta) orgoogle_ads_ads_update_status(Google Ads). Prefer rotate-in-a-replacement over pause-into-a-gap unless the ad is actively harmful — pausing without a fresh creative ready starves delivery. Never bulk-pause without listing the total impact first. -
Record outcome context: For each ad paused or queued for refresh, append to
action_logviamureo_state_action_log_appendwithmetrics_at_action(frequency, ctr, cpm, impressions, conversions, cpa) andobservation_due14 days out fromserver_now's date (the creative-change window from../_mureo-learning/SKILL.md). A pure diagnostic run with no writes still logs a summary entry (the verdict table), with noobservation_due. -
Persist the report summary (best-effort): Call
mureo_state_report_setwithreport="fatigue"and a concisesummaryobject so the read-only dashboard can render this check without re-running you. Follow this convention:generated_at: ISO 8601 timestamp of this run — useserver_nowperiod: the two adjacent windows compared (this week / prior week)totals: the account's headline figures, using the canonical metric vocabulary —spend,conversions,cpa,ctr,clicks,impressions. This is the block the dashboard renders as figures. Raw numbers only:773957, not"¥773,957";0.0466, not"4.66%"— one of those keys carrying a string is refused, because it sits where the view reads a figure and renders as nothing. A key outside the vocabulary may ride along: it is stored, just not shown as a headline number. Omittotalsentirely if this run gathered no account-level figures.kpis: counts by verdict (fatigued / watch / fresh / insufficient-data) and the worst-frequency + worst-CTR-decline ads — the breakdown, not the headline rowflags: notable items (e.g.["3_ads_fatigued", "meta_reach_missing_frequency_undefined", "google_display_ctr_only"])narrative: the verdict (creatives fresh / rotation needed) and what you propose next, at most 400 characters — the tool refuses a longer one rather than truncating it (a sentence cut in half is worse than a long one). Do not restate the figures and do not list the findings here: numbers belong intotals, findings inflags.
Reflect the FINAL state, and persist this LAST — after every
action_logentry and any pause you applied this run. This is best-effort: ifmureo_state_report_setis unavailable (e.g. a pure file-mode host without the context MCP), skip it silently — the rest of this skill still works.