# Improve Conversion

> Diagnose and improve a landing page, funnel, campaign, ad, message, content asset, or outreach flow. Use for conversion audits, teardown requests, campaign or creative evaluation, funnel diagnosis, prioritizing growth opportunities, proposing controlled experiments, or revising weak marketing work into a stronger ready-to-use version.

- Skill: `forsvn-labs/improve-conversion` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add forsvn-labs/improve-conversion`
- Raw SKILL.md: https://api.skillmd.com/api/skills/forsvn-labs/improve-conversion/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: forsvn-labs (https://skillmd.com/u/forsvn-labs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/forsvn-labs/improve-conversion

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# Improve conversion performance

Return a diagnosis, revised work, and one discriminating test—not a decorative scorecard.

## Establish the intended path

Identify:

- intended audience and costly moment;
- promise, mechanism, proof, and objection;
- acquisition source and message expectation;
- primary action and downstream value;
- available exposure, behavior, conversion, revenue, retention, and qualitative evidence.

Separate missing data from zero. Treat vanity engagement as diagnostic, not business performance.

## Locate the first meaningful break

1. **Reach:** the right people did not encounter it.
2. **Attention:** they encountered it but did not stop.
3. **Comprehension:** they stopped but did not understand.
4. **Belief:** they understood but did not trust the promise.
5. **Motivation:** they believed it but did not care enough now.
6. **Friction:** they wanted it but the next step was costly or broken.
7. **Value:** they acted but the product or offer did not deliver.

Inspect audience, channel, device, geography, and customer mix before aggregating. Treat co-timed
movement as correlation until evidence distinguishes causes. State the mechanism connecting each
proposed cause to the observed behavior.

## Prioritize a discriminating test

Name plausible alternative explanations. Choose the smallest change that produces different
predictions for the leading explanations.

Define:

- hypothesis and causal mechanism;
- one intentional change;
- target segment and surface;
- primary outcome and guardrails;
- observation window;
- keep, revise, or kill rule.

Accept “inconclusive” when evidence cannot discriminate.

## Deliver

Lead with:

- **Keep:** what evidence supports retaining.
- **Drop:** what is weak, harmful, or unnecessary.
- **Change:** the revised message, structure, or experience.
- **Test:** the highest-value uncertainty and controlled experiment.

Include the ready-to-use revision whenever the medium permits. Tie every recommendation to observed
evidence, an explicit inference, or a labeled assumption. Do not claim causality or conversion lift
without evidence.

Keep deployments, experiment activation, spend, publishing, and other external writes behind explicit
approval.