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LINKEDIN POST TESTING

Find a clearer opening for your next post.

Test the first two lines before spending time rewriting the full post. Give both openings the same supporting facts.

People sharing ideas in a group discussion
Illustrative image. Responses are simulated.

Example messages.

An architecture firm hosts a free 45-minute lunch-and-learn on adding accessible entrances to older homes, online, on October 22 at noon.

A Problem first

Adding a step-free entrance to an older home takes more planning than most owners expect. We're covering the options in a free session on Oct 22 at noon.

B Event details first

Free lunch-and-learn, Oct 22 at noon: accessible entrances for older homes. We'll walk through ramps, regrading and threshold changes in 45 minutes.

Run a clear comparison.

Use the same audience and product facts for both versions. Choose a question before running: clarity, credibility, interest or preference.

Head-to-head mode shows both texts together. Independent mode scores each separately against the same scale, then compares the scores for each profile.

What the results mean.

A clearer modeled response does not measure professional reach or engagement.

The survey supplies observed profiles. AI generates the reactions to your text. The included records are unweighted, and the results are not responses collected from people.

Frequently asked questions

How do I start?

Try a free study or open Studio to choose your audience. Paste both texts, add relevant context and run the study.

What should I do with a close result?

Inspect individual responses and revise the contrast. Small score differences are not a significance test. Use real audience feedback or a live experiment to validate consequential decisions.

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