Fix funnel leaks with evidence: Repair confirmed failures like missing form submissions in the queue; Clarify service limits if repeated requests exceed scope; Change first response process if wait times breach published promises
Image: Lead Generation Desk

Funnel Experiments

Part of Improving an underperforming lead funnel

Choosing the next lead funnel fix from evidence

Compare possible funnel fixes against the observed loss, evidence quality and outcome that would justify keeping a change.

Choose the next lead funnel fix by linking an observed loss to a change that could plausibly remove it. Repair a confirmed failure that prevents requests arriving or receiving a reply. For less certain problems, record the hypothesis, the outcome to watch and the evidence that would change the decision.

Put candidates on one decision sheet

For each possible fix, record the affected stage, evidence, proposed change, decision-relevant outcome and uncertainty. This keeps a prominent dashboard number from becoming the plan by default.

CandidateEvidence neededOutcome to review
Repair a form handoffSuccessful submissions missing from the receiving queueMore completed requests reach an owner
Clarify a service promiseRepeated genuine requests for work outside scope from that routeMore relevant requests under the same assessment rule
Change the first response processSuitable requests with a verified wait beyond the stated promiseMore requests receive a relevant reply within that promise
Change an offerRequests and buyer questions suggest the offer misses a real needMore suitable enquiries, not merely more clicks

These are candidates, not a ranking. A confirmed lost-request route may need immediate repair. An offer change requires evidence that the proposed promise better serves the buyer's need.

Decide what the evidence can support

First check that the gap is real under a stable definition. Review the original requests, exclusions, pending assessments and missing records.

A rate drawn from a few reviewed cases is a weak basis for a broad campaign change. A tracking break may justify repairing measurement while leaving the campaign comparison unresolved.

Next ask whether the proposed fix acts on the observed cause. A new button cannot answer requests left in an unowned queue. A qualifying field may sort requests for an unavailable service after they arrive, while the arrival promise remains misleading. Check the business's own cases before applying either inference.

Consider the cost, reversibility and time needed to observe an outcome. Name dependencies: for example, settle an acceptance-rule disagreement before comparing later enquiry groups. Choose the smallest change that addresses a confirmed problem, or the next check that could distinguish competing explanations.

Record and revisit the choice

A decision entry should name the affected route, the observed requests, the change, its owner, the rule used to assess later requests and a review date. Keep the prior wording and rule date available.

For example, if requests from one service page repeatedly concern work outside the published scope, clarify that limit near the enquiry action and review subsequent requests under the same acceptance rule. This is an illustration, not a finding about a site or a forecast.

Watch the intended outcome and neighbouring measures. A clearer promise may reduce irrelevant submissions while leaving accepted enquiries steady, which could reduce assessment work. More submissions accompanied by fewer accepted opportunities calls for another request review.

If evidence is incomplete, choose a specific information-gathering action: verify delivery, finish pending assessments or inspect a defined group of requests. Record the operating choice until that check is done.

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