I was the Head of Online Growth for a lifestyle brand with 400 employees and my job was personalization, but I didn’t have the technical resources. In the case of Generact you can see that as we were going live rather than rolling out campaigns, we could start with a small test but with a powerful impact. We created dynamic banners that display different messaging to people who visit from paid social ads versus our email list. The AI's "frequently bought together" suggestions are a whole lot smarter than what our initial simple solution.

Generact has played a big part in growing the optimization side of things, as CRO Manager at a fashion retailer with 500+ employees. My team can run as many A/B tests at the same time and I don’t need our developers for it. Our marketing team now do a test every week with Generact (it can be experimenting on new product image layouts or testing a variation of call to actions buttons). The p value statistical significance calculator, on the other hand, guides us when tests are actually conclusive.

I’m the only UX Optimization Specialist at a quickly-scaling electronics company with 150 people in the building. I need to prove that design changes are working — fast. Generect’s visual A/B testing tool is my favorite. I recently employed it to A/B test three different layouts for product information across our most important product pages. I was able to get my own trials including the variants set up in a morning and see statistically significant results within one week. We didn’t have to involve engineering in order to test new product displays, so this was a huge win for our lean team.