spent on a page wish list most popular content at the time interest of similar visitors previous interactions with branded emails takeaway: artificial intelligence enables personalized emails to be sent to each customer. By analyzing a customer's reading patterns and topics of interest to recommend the specific content most relevant to that person, ai-assisted emails could become even more engaging for every subscriber. Tip: not all ai-based systems are able to learn from user feedback.
When evaluating ai tools, be sure to see if this learning feature is included. Related content at hand: 8 things every good marketer should know about email 6. Churn prediction and smart customer engagement machine learning algorithms can also whatsapp number list help identify disengaged customer segments that are about to disengage or leave for a competitor. Ai-based tools in this category can help collect data, create a predictive model, and test and validate that model on real customers. This information can indicate what stage of unsubscribing the person is in.
While fast churn customers (users who abandon a product soon after they start using it) are hard to re-engage, late churn customers (those who have a relationship with your brand) can be encouraged to continue using your product. Vidora, for example, provides smart ai-powered churn prediction to proactively keep your customers engaged. Markus explains: ai-powered churn prediction helps analyze omnichannel events and identify declining customer engagement. For example, if the system notices behaviors indicative of churn,