Ad frequency hits 4x before anyone catches it. By then, you have wasted budget for days. CTR drops. CPA rises. The audience is tired of seeing the same creative. askotter flags fatigue patterns 3 days before ROAS collapses so your team can refresh before budget is wasted.
Frequency climbs above 3x. CTR drops 15% week over week. CPA starts rising even though targeting did not change. These signals appear in platform dashboards, but nobody checks daily. And even if they do, the signals are split across Meta, Google, and TikTok with no unified view.
Every day a fatigued creative runs, it trains the algorithm on declining performance. CPA rises, the platform optimizes for a weaker audience, and recovery takes longer even after you swap the creative. Three days of undetected fatigue can cost weeks of performance recovery.
askotter monitors frequency, CTR trend, CPA trend, and audience overlap across all ad platforms. When fatigue patterns emerge, the agent flags it with a severity estimate and creative refresh recommendation. Your growth team sees it before ROAS drops, not after. Budget pause suggestions are generated but only executed when a person approves.
Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.
askotter unifies Shopify, Stripe, GA4, Meta Ads, and Google Ads into a single attribution model. See the real customer journey, not platform-inflated numbers.
askotter monitors checkout conversion in real time. Detects drops, traces root causes to theme updates or payment errors, and estimates revenue impact in minutes.
askotter captures and resurfaces seasonal learnings so your DTC team never starts from zero. Connected data from past peaks informs this year's strategy automatically.
We will connect your data, deploy agents that watch for this specific problem, and surface what matters. Your team stays in control. AI suggests, humans decide.