What’s interesting about Optimove is that their constantly refined predictive testing of microsegment or individual customer responses and future activity is entirely based on account activity.
Optimove CEO Pini Yakuel told PCR at the Ecommerce Expo: “We find patterns and identify micro segments of customers and look at how to make them more engaged, but in some places customer loyalty is not strong and we can help companies improve this. We want to bring our expertise to ecommerce and target more retailers – anyone who has an interesting customer story. In ten years’ time, all big retailers will have retention automation systems. We want to be number one player in that market.”
The classroom can offer a great job marketplace for potential startup employers to bring on new hires, but not everyone is a professor, of course. If you think your startup could benefit from the expertise of university students, there are a few ways you can get involved on campuses.
A new suite of tools from Optimove aims to help marketers maximize the lifetime value of customers across the lifecycle by killing churn in its tracks. In addition to improved customer response prediction capabilities, the suite includes a calendar-based marketing management tool to help users track and optimize campaigns.
The company’s micro-segmentation technology allows companies to better understand their customers and get a more accurate reading of marketing data and customer behavior, and the entire suite makes it easy to run multi-channel campaigns.
When it comes to marketing, many feel it’s more an art than a science. But by setting aside a control group you can turn marketing campaign results into measurable data.
iSoftBet’s sales manager Luci Apostolou said: “We have seen terrific results from operators who have already implemented this solution and we are looking forward to seeing similar results on the rest of the iSoftBet platform.”
In our rush to embrace data, we need to remember to question how we use it to find our business strategies. Sometimes obvious trends in the data can lead us astray.