Attribution models and marketing analytics are only as reliable as the inputs behind them. In reality, campaign data is rarely consistent: UTMs drift across teams and agencies, CRM campaign names change frequently, and new GTM motions introduce patterns that break existing taxonomy rules. When classification logic isn’t governed, attribution and channel reporting quickly become unreliable.
In this webinar, we’ll show why channel classification should be treated as measurement infrastructure, not a one-time taxonomy exercise. You’ll see how modern GTM teams normalize inconsistent campaign inputs and maintain stable channel definitions across their revenue stack.
Join Harry Hawk (Director of Product Success) and Francisco Garcia (Manager, Solutions Engineering) at RevSure for a technical walkthrough covering:
- Normalizing campaign inputs across UTMs, CRM campaigns, referrers, and events
- Building governed classification with rule logic, precedence, and validation
- Using AI-assisted classification to cover remaining gaps
- Reprocessing historical data to keep reporting consistent as the taxonomy evolves
We’ll also demonstrate RevSure’s workflow for identifying unclassified campaigns, building and validating rules, and completing classification coverage with AI.
