Library/RevOps, Data & Analytics Support/Attribution & Source Tracking/Design a lead-source and UTM tracking taxonomy
TestedRevOps, Data & Analytics SupportSame-Day Use (under 30 min)
About this prompt
This prompt helps RevOps and sales ops teams design a lead-source and UTM taxonomy that stays consistent over time. It produces the structure, naming convention, controlled vocabulary, rollup logic, and governance needed to stop the same campaign from being tagged five ways. Use it when inconsistent source data has made channel reporting and ROI analysis unreliable.Every RevOps team eventually hits the point where lead-source and UTM values have drifted into hundreds of inconsistent entries, and channel reporting becomes useless. This prompt designs a full source-tracking standard: a hierarchical taxonomy, strict UTM naming rules, a controlled picklist of allowed values, rollup logic into leadership-level categories, governance for adding new values, and a migration approach so historical data isn't orphaned. Feed it your CHANNEL ROI, CAMPAIGN PERFORMANCE, LEAD ROUTING reporting goals, your PAID, ORGANIC, EVENTS, EMAIL, PARTNER, OUTBOUND channel mix, who creates source values today (MARKETERS, REPS, FORMS, TOOLS), and WHAT QUESTIONS THE DATA MUST ANSWER. Reach for this when you're standardizing attribution data from scratch or cleaning up an existing mess, not when you only need a one-off report fix. For best results, be honest in the placeholder about how source values actually get created today, since the enforcement controls only work if they account for the reps and marketers who'll route around them.The prompt
Our lead-source and UTM data is a mess — hundreds of inconsistent values, the same campaign tagged five ways — and it makes channel reporting useless. Help me design a source-tracking taxonomy that st
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Variables to replace
CHANNEL ROI, CAMPAIGN PERFORMANCE, LEAD ROUTING | PAID, ORGANIC, EVENTS, EMAIL, PARTNER, OUTBOUND, ETC. | MARKETERS, REPS, FORMS, TOOLS — AND THE CHAOS THAT CAUSES | WHAT QUESTIONS THE DATA MUST ANSWER
How to run it
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What good output looks like
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