Agencies test once or twice, if at all
Most ad creative goes from brief to live with a single internal review. There's no time, budget, or framework for putting it in front of real users before paid spend turns on.
Brand managers ship ad creative blind every week, a hero image goes live, a video drops, a landing page launches, and the only signal back is CTR. Diaform runs AI-led conversations on your creative before it ships, so you hear the real reaction, the real objection, and the real reason someone would (or wouldn't) click.
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Most ad creative goes from brief to live with a single internal review. There's no time, budget, or framework for putting it in front of real users before paid spend turns on.
Traditional creative testing favors articulate, confident respondents. The quiet 80% who'd actually buy your product never get heard, and the feedback you do hear is filtered through a moderator.
A/B tests show you which creative wins. They never tell you why. You ship the winner, the next campaign starts from zero, and the creative team is back to guessing.
Every respondent goes through a structured conversation on the asset. Per-answer sentiment captures the first instinctive reaction, before they rationalize it.
Voice is consistently more candid than text. When someone reads your tagline aloud and pauses, hesitates, or laughs, the AI captures it, and you hear it.
Share one link with an audience you provide and review each structured response as it completes. Diaform conducts the conversations; it does not recruit the panel for you.
The AI asks what they'd click, then probes on the why. Across respondents you see which element of the creative actually does the work, the headline, the image, the offer.
Each completed response includes summaries, sentiment, answer confidence, optional notable quotes, and the transcript. Use filters and export for analysis across respondents.
Test the same creative across markets in each respondent's native language. Summaries come back in English so the global team works from one set of insights.
Drop in the ad, the hero image, the packaging mock, the video, or the landing page URL. Add brand context to the knowledge base so the AI references your positioning correctly.
Tell the AI what you want to learn, first impression, perceived value, click intent, brand fit, and how aggressively to probe on vague answers.
Send the link to your panel, customer list, or audience. Each respondent runs their own AI-led session in the browser, no signup required.
Review structured responses for each creative variant, including sentiment, answer confidence, optional notable quotes, and the moments that landed or fell flat.
Test static and video ads before paid spend turns on. Find the version that earns the click and understand why it does.
Run hero headlines, images, and CTAs through real conversations. Catch the messaging that confuses before it hits production.
Show packaging mocks and capture the shelf reaction, what stands out, what reads as the category, what feels premium versus cheap.
Test scripts before the shoot. Voice answers reveal which lines land, which feel forced, and where attention drops.
Put logos, color systems, and brand visuals in front of real people. Hear the associations they trigger before you commit a rebrand.
Test product or brand names on pronunciation, association, and recall, with the AI probing on each name individually.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
Concept testing validates the idea, does this positioning, promise, or proposition resonate at all? Creative testing validates the execution, does this specific ad, hero, or packaging do its job? Diaform runs both, but on this page we're focused on execution: real reactions to the creative you're about to ship.
Explore the other ways Diaform can turn a static request for feedback into a useful conversation.
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