Test Brand Campaigns Before You Spend Media Budget.
Most campaigns get one round of feedback: the launch itself. Internal reviews and focus groups miss the response patterns that actually matter: the segments your team doesn't intuitively know, and the phrase that lands wrong with one cohort and great with another.
HOOKiQ models 5–100 personas tuned to your target audience, runs them through a simulated Twitter and Reddit reaction to your campaign, and shows you exactly which segments respond, which ones disengage, and which messages drive the strongest pull. Output in minutes, not weeks.
How it works
Paste your campaign concept, ad copy, or full creative brief. Even a one-paragraph idea works.
Choose target demographics (age, market, channel preferences), or let the AI infer them from your brief.
Read the simulated thread responses, sentiment breakdown by segment, and a ranked list of phrases that trigger pushback.
Common questions
How is this different from a focus group?
Focus groups draw 8–12 people willing to sit in a room. Simulations draw from 5–100 AI personas calibrated to your demographic. Both are directional, neither is statistically valid. The difference is that simulation runs in minutes for under $20, versus weeks for $30k+. Use it for early-stage screening, not final validation. → See the full comparison at /compare.
What are the AI personas based on?
Each persona is built from two ingredients: the demographic parameters you give it (age, location, profession, interests, beliefs) and the AI's training knowledge of how real people with those characteristics talk and behave online. No real person's data is used, and there is no database of individuals we draw from. The personas are statistical composites built from the AI's training on public-domain patterns (Reddit, Twitter, news, blogs, books), shaped by the targeting parameters you specify.
Can it predict whether a campaign will go viral?
No. Virality depends on timing, network effects, and platform-specific dynamics no simulation can model. What HOOKiQ does predict is which reactions are most likely to surface: backlash patterns, segments that disengage, and phrases that trigger pushback. Treat the output as a pre-flight checklist, not a forecast.
What level of campaign maturity should I run through it?
Any draft you'd be comfortable showing a colleague. Concept-level (a 2-sentence idea) gets directional feedback on positioning. Full creative (headline + body + CTA) gets specific phrase-level reactions. Don't wait for finished assets. Earlier is more useful.
Does it work for B2B campaigns?
Yes, but with caveats. B2B simulation works best when your personas are detailed (job title, seniority, sector, pain points). For broad-audience B2C work, less calibration is fine. The interface supports both.
How many personas should I run?
5–15 for early concept testing. 30–50 for refined creative. 100 only when you want to surface long-tail reactions or rare segments. More personas don't mean better insight, they mean more processing time.