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Anomaly detection workflows for brand protection in performance marketing

Anomaly detection workflows for brand protection in performance marketing

Browse 7 anomaly detection workflows for brand protection in the Workflow Automation Library. Each one runs inside a Roadway AI coworker, with changes held for approval. Anomaly detection workflows catch spend spikes, tracking breaks and quality drops within hours instead of at month-end. Pick a workflow, add it to your Roadway agent, and review the first run before anything goes live.

All matching workflows

Uses an LLM to classify where your ads appeared on Google Display and YouTube (placements and videos), and finds brand-unsafe adjacency that keyword lists miss.
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Detects sudden auction pressure (CPC jumps, new competitors, overlap spikes) on search, and separates it from internal causes.
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Spots competitors, affiliates or scammers bidding on your brand in Google Search and impersonating you in ad copy.
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Spots competitors, affiliates or scammers bidding on your brand in Microsoft (Bing) and impersonating you in ad copy.
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Catches Google Search spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.
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When Google Search cost per goal jumps, breaks the change down into what you pay per click, how many people click and how many convert, and fixes the real cause.
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When Microsoft (Bing) cost per goal jumps, breaks the change down into what you pay per click, how many people click and how many convert, and fixes the real cause.
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