Test Your Content Before You Spend
Describe your audience. Upload a post or an ad. Get honest reactions from hundreds of AI personas matched to your demographics — with the reasoning behind every one.
Organic Posts and Meta Ads
A post and an ad are judged on different things, so CrowdLab measures them differently.
- →Predicted like, comment, share and save rates
- →Per-persona reasoning, not just a score
- →Video watch-through and completion estimates
- →Compared against platform benchmarks by follower count
- →The full funnel: thumb-stop, hook, click, conversion
- →Where people drop off, so you know what to fix
- →Every persona's single biggest objection
- →Who your creative actually pulls, versus who you targeted
Why ads need their own model. Since January 2026, Meta treats your targeting as a suggestion rather than a rule — Advantage+ delivers to whoever it predicts will convert, which means your creative decides who sees it. So CrowdLab samples wider than your stated audience and reports who the creative actually pulled. That is a gap Ads Manager can only show you after you have paid for the impressions.
A Focus Group That Runs In A Minute
Hundreds of individual reactions, matched to the audience you describe, with the reasoning attached to every one.
How CrowdLab Works
From audience description to actionable insights in minutes
Describe Your Audience
Tell us who you're trying to reach, in a sentence. CrowdLab extracts the demographics, interests and behaviour, then shows you the breakdown so you can correct anything it got wrong. For ads, you can also let it sample wider than your stated targeting — matching how Meta actually delivers.
Add Your Post Or Ad
For organic: caption, media, hashtags, platforms. For Meta ads: primary text, headline, description, CTA and objective, with a live preview showing where the feed truncates your copy. Video is transcribed and key frames are pulled automatically.
Run The Test
Pick your audience and how many personas to simulate. Each one reads your content in character, in their own context, and answers independently. A few hundred personas finish in under a minute.
Read What They Said
Organic tests return predicted engagement rates with distribution charts and benchmark comparisons. Ad tests return the funnel — where people dropped off, what each one objected to, and who your creative pulled versus who you targeted. Both come with specific, executable suggestions.
Comprehensive Test Results
Every test delivers actionable insights you can use immediately to optimize your content
- Like, comment, share and save rates
- Projected counts against your follower base
- Video watch-through and completion
- Compared to platform benchmarks for your account size
- Thumb-stop rate: did the creative interrupt the scroll
- Hook hold: who stayed past the opening moment
- Click-through, against the ~2.19% Meta median
- The stage with your steepest drop-off, flagged
- Each persona's age, location, interests and context
- What they'd do, and why they'd do it
- For ads: their single biggest objection
- For ads: what their eye landed on first
- Who clicked, broken down by age band
- Compared against who you actually targeted
- Surfaces creative that appeals to the wrong segment
- Something Ads Manager only shows you after you've spent
Real Example: Instagram Post Test
Testing a fitness post with 10 AI personas representing your 5,000 followers
“Your workout demonstration resonated well, but 70% of personas wanted more context about the benefits. Adding a caption about specific muscle groups could boost engagement to 45%.”
Scale Your Audience Testing
What used to require focus groups, surveys, and weeks of time now happens in seconds
Each one an individual with its own reasoning
A few hundred personas answer in parallel
No impressions to buy before you learn something
Which is why the other 95% are worth catching early
What this is, honestly
CrowdLab simulates how an audience would react. It is a well-reasoned prediction, not a measurement — the rates are calibrated against published platform benchmarks, and they carry real uncertainty.
Where it earns its place is the comparison. Which of these two ads lands better, where does this creative lose people, what will they object to. Those answers hold up far better than any single predicted percentage, and they arrive before you have spent anything finding out.