SYNTHETIC - NO CUSTOMER ACCESS

GROWTH-COMMERCE

Landing-page conversion proof for a synthetic field-service SaaS

A rendered landing-page proof with a sharper promise, evidence order, objection handling, call to action, and measurable conversion hypothesis.

The job

Customer problem

A small software company explains features clearly but does not connect them to one urgent buyer problem or a low-risk next action.

Synthetic inputs

Synthetic offer

A fictional scheduling product that helps small repair teams assign one owner to every appointment exception.

Synthetic buyer

An operations manager at a ten-person field-service company dealing with missed appointments and unclear handoffs.

Conversion constraint

The page may ask for a workflow review but cannot claim guaranteed savings, revenue, or appointment recovery.

What the AI did

  1. Reduced the page to one buyer, one costly problem, and one next action.
  2. Reordered evidence so the workflow and proof appear before the call to action.
  3. Translated feature language into observable operational outcomes.
  4. Added explicit objections, non-goals, and a low-risk synthetic proof step.
  5. Defined the events needed to measure whether the new structure improves qualified action.

Findings and deliverables

Acceptance checks

PASS

The hero names one buyer, problem, and outcome

The synthetic page leads with missed appointment exceptions for small field-service operations.

PASS

Proof appears before the primary call to action

The proposed structure explains the synthetic workflow and checks before requesting a workflow review.

PASS

No unsupported performance guarantee appears

Savings, revenue, rankings, and recovery rates are framed only as hypotheses to measure.

What remains unproven

Next access request

None for the first page proof. After approval, request approved brand copy and aggregate baseline conversion events; no website credentials are needed to review the concept.