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profile-conversion-auditlisted

Use when an owned social profile needs an evidence-based audit of whether the right visitor can understand the account, trust it, and take the next approved step. Trigger phrases include "audit our Instagram profile", "fix our LinkedIn page", "why does this profile not convert?", "review this social bio", and "what should be clearer on our profile?". Do not use this to promise conversion lifts, change a platform account directly, or write a campaign message from scratch; use positioning-audit for the core message, social-proof-mining for approved proof, and campaign-brief for a launch-specific promise.
Ootto-AI/claude-content-skills · ★ 26 · Data & Documents · score 80
Install: claude install-skill Ootto-AI/claude-content-skills
# Profile Conversion Audit Review the profile as a visitor journey: immediate understanding, credible evidence, useful navigation, and one truthful next step. ## 1. Capture the profile as a visitor sees it Ask for the profile URL or supplied screenshots, platform, audience context, current objective, linked destination, and constraints. Review the visible name, category, bio, links, pinned material, highlights or featured items, recent posts, and contact route only as they actually appear. ## 2. Test the first-ten-seconds questions Can the right visitor tell who the account helps, what it helps with, why it is credible, and what to do next? Record missing information, competing actions, jargon, unsupported claims, inaccessible media, and mismatches between the profile and linked destination. ## 3. Recommend evidence-backed changes Prioritise changes by clarity and risk: identity, audience situation, approved promise, proof, navigation, and action. Supply proposed copy only from approved facts and proof. Explain why each change addresses a visitor question and what must remain unchanged for disclosure, brand, or platform policy. ## 4. Define a reversible validation plan State what can be changed by the profile owner, what needs approval, and how to observe the result using the data actually available. Change one meaningful element at a time where possible. Treat outcomes as evidence for the next iteration, not a promised uplift. ## Hard rules - Do not invent followe