By combining this external and Phone Number Database internal data, you can find interesting relationships between, for example, the weather and reading behavior in the publication. As a company, you can find out what Phone Number Database the influence of the weather (high temperature or many hours of sunshine) is on the Phone Number Database number of products sold, the number of leads generated or an increase or decrease in engagement. Screenshot Green Orange The developments surrounding open data now also make it possible to establish relationships with data from other organizations.
Think of the activity in a Phone Number Database publication in relation to the traffic volume at a certain moment. Or the average income in a certain area based on CBS data. Bringing resources together to generate predictive Phone Number Database insights Bringing these sources together results in a 360-degree view of a Phone Number Database customer. By using predictive algorithms and persuasion models (also called influencing strategies) you can then discover customer patterns.
With these customer patterns Phone Number Database you predict which content is most relevant for the customer. That way you can offer content not only in a personalized way, but also at the right time and via the right channel. A practical Phone Number Database example: send Sarah a mailing on Monday morning containing an exclusive offer for a pair of winter shoes from the new collection of brand X. Or send Bastiaan a volume discount on a pair of dark blue socks on Tuesday. Online tools with predictive insights Predictive analytics is still under development.