How is junbi different from other ad pre-testing methods?

junbi is a faster, more scalable, and cost-effective alternative to traditional ad pre-testing methods. Unlike surveys, focus groups, or eye-tracking studies that take days or even weeks to deliver insights, junbi provides instant, AI-driven feedback on your ad’s effectiveness.

Here’s how junbi stands out:

Speed:

Traditional ad testing methods require setting up studies, recruiting participants, and analyzing responses—often taking weeks. junbi delivers results in minutes, allowing you to optimize ads quickly.

Scalability:

Instead of testing ads with a small sample of viewers, junbi benchmarks your ad against over 20,000 real YouTube ads, providing insights that are based on large-scale industry data rather than limited user opinions.

Objective AI-Powered Analysis:

Surveys and focus groups rely on self-reported feedback, which can be biased or inconsistent. junbi uses AI to objectively measure key ad performance metrics like brand attention, breakthrough ability, and cognitive ease, giving you unbiased insights backed by data.

No Need for Live Testing:

Traditional methods often require running your ad in a real-world setting before understanding its effectiveness. junbi lets you test your ad before launch, so you can refine it and avoid wasted media spend on underperforming ads.

Actionable Benchmarks:

Instead of just providing raw data, junbi scores your ad in percentiles, showing how it compares to thousands of other ads. This gives you a clear sense of where your ad stands and what improvements to make.

If you want to dive deeper into how AI-driven testing compares to traditional methods, check out this blog: Ad Testing: Traditional vs. AI – Which Delivers Better Results?.