Performance Horizon is a partner marketing platform that lets site and app publishers make money from affiliate links or from customized commission-based arrangements with advertisers.
This week, the UK-based company is adding a machine learning-powered ability to predict trends for advertisers 28 days out. It says this is the first AI-enhanced predictive analytics capability for an affiliate/partner platform.
Using historical data from at least 30 days of a campaign, the seven-year-old platform selects one of five different prediction models as the most appropriate for each client.
In addition to predicting sales and commissions based on a current campaign, founder and CTO Peter Cheyne told me, the new predictive capability can also detect anomalies that could show something unusual is affecting performance. During an alpha test over the last two weeks, he said, the predictions “hit the nail on the head” 93 percent of the time.
[Read the full article on MarTech Today.]
About The Author
Barry Levine covers marketing technology for Third Door Media. Previously, he covered this space as a Senior Writer for VentureBeat, and he has written about these and other tech subjects for such publications as CMSWire and NewsFactor. He founded and led the web site/unit at PBS station Thirteen/WNET; worked as an online Senior Producer/writer for Viacom; created a successful interactive game, PLAY IT BY EAR: The First CD Game; founded and led an independent film showcase, CENTER SCREEN, based at Harvard and M.I.T.; and served over five years as a consultant to the M.I.T. Media Lab. You can find him at LinkedIn, and on Twitter at xBarryLevine.
