Remarkety is more than just an eCommerce email marketing automation platform. We have tools built into the platform that make it like having a consultant at your side. For example, we constantly analyze your data and suggest what to do next. We call it Remarkety’s email marketing recommendation engine.
New customers are usually curious how the recommendation engine actually works so here’s an in-depth perspective of our recommendation engine. Basically the recommendation engine has two purposes – to suggest new campaign types and to optimize existing campaigns.
New campaign suggestions
By analyzing your data, the recommendation engine tries to find opportunities that are relevant to your online store. For example, if you are a relatively new store the engine will recognize that your data is not suitable for an “inactive customers” campaign, and will not suggest such campaign. But if you already have many inactive customers in your data, the engine may suggest launching a new “inactive customers” campaign, based a prioritization algorithm that considers the likelihood of success based on statistics gathered from thousands of other stores. Read More
