Funnel Optimization

Funnel optimization looks past the landing page to the whole path: which source produces visitors who convert, where each stage loses them, and what the handoffs cost. We instrument the journey end to end, then optimize the stages in the order the data dictates.

The output is a funnel you can read like a P&L: volume, conversion, and value per stage, with a backlog of fixes ranked by the revenue each stage is leaking.

Most funnels are measured at the edges and blind in the middle: ad platforms claim clicks, the CRM claims closes, and nobody owns the stages between - where most of the loss actually happens.

So budgets get allocated on first and last touch, landing pages get blamed for traffic quality, and the form that loses half the pipeline survives another year because no report ever indicted it.

Instrumentation first: every stage from click to close tracked with consistent identity, so the funnel reads as one story instead of three dashboards. Stage-by-stage conversion and value become visible, often for the first time.

Then optimization in order of leak: the stage losing the most recoverable revenue gets fixed first - message match, form friction, speed, follow-up latency. Each fix is measured against the stage metric, so improvement is attributable.