A smartphone marketer used Hypertune to boost their CTA click-through rate from 15% to 54% — a 260% uplift.
Their test had 7 variables (CTA Text, CTA Background Color, Section Order, Image, Title, Top Text and Menu) resulting in 1620 combinations of their ideas.
Our AI found a winning combination in just 5 days.
A normal multivariate test, e.g. using Optimizely, would have taken over 500 days to get statistically significant results at the 90% confidence level.
Hypertune worked 100x faster.
Suppose you have 5 versions of your title, 5 images and 5 layouts.
You should test all 125 combinations of them to maximize your conversion rate.
It's suboptimal to run one test for the titles, another test for the images and another for the layouts, as this doesn't account for the interaction effects between them — the winning title and winning image might be terrible when put together.
A multivariate test solves this by equally testing all 125 combinations, but this requires too much traffic so takes too long.
Instead, our AI mimics evolution.
It starts off testing 5 random combinations out of the 125.
After enough traffic, it kills off the worst ones and replaces them with new combinations similar to the best ones.
As a result, it can quickly find a winner even when there are thousands or millions of possible combinations.
Compare normal multivariate testing and evolution in this simulation. Visits to good variations result in conversions more often.
green box = good variation
red box = bad variation
blue flash = visit
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