What if I told you that instead of testing only two different versions of your advertising, you could test 94 million different versions? It may seem impossible, but that’s exactly what Intellimize can do.
Using machine learning to update its algorithm on the fly, Intellimize wants to shake up the way marketers test and optimize ads. The niche is currently dominated by one-on-one A/B testing.
CEO Guy Yalif told me that the company’s predictive personalization process allows companies to pinpoint their targeting and messaging, optimize in real time and ultimately gain conversions.
“We’re making marketers heroes by driving great sales,” Yalif said.
The startup uses multivariant testing to allow marketers to test the performance of many different variables in their ads at the same time. The company found that their average customer tested 127 ideas, a total that would have taken 25 years using traditional testing methods.
In addition to the sheer number of permutations that can be tested, Yalif says that its almost instantaneous speed gives marketers an advantage over A/B.
“Usually it takes a few weeks to get A/B results,” Yalif said to me. “And 80 percent of the time it isn’t actionable.”
Intellimize starts by brainstorming with their clients to determine what would make the biggest impact. Once the client delivers its own ad creative, coding is added. The system then begins automatically trafficking and optimizing the ads. Finally, the company helps its clients to identify further personalization opportunities.
Current customers, which include Grammarly and Chime, have seen a 79 percent and higher lift and more conversions.
Slide showing how “predictive personalization” can drive more conversions.
from MarTech Today | Marketing Technology News & Management Insights http://ift.tt/2zo7gQK
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