This can be anything: the weather, season, sports Phone Number Database results, trends, etc. Choose the right sources for your application so that you can ultimately identify the best next best actions can be predictive! Algorithms Phone Number Database are the key But, we're not there yet! In order to be able to be predictive based on data at all, only one ingredient is missing: algorithms. An algorithm is really nothing more and nothing less than a Phone Number Database predefined instruction or rule for a piece of data. Most tools have a number of standard algorithms that help with forecasting, but it is of course also possible to build very specific algorithms that fit the customer demand.
Visual1 Now that the algorithms Phone Number Database have also been added, we have actually gone through the entire process and it is time to apply this trick in 'practice' using an example. Data-driven in practice Customer X's profile Phone Number Database now looks like this: man 28 Living in the Enschede Search terms: Ski clothing, winter sports Purchase is usually made between 7pm – 7:30pm When we combine this data with Phone Number Database external data – such as the weather, holiday periods, trends (for example in terms of ski clothing) – we are able to send a very relevant newsletter to Client.
We could even go a step further by Phone Number Database showing Customer X a completely personalized website, with products that match his profile and interests. Or, when he is in the evaluation phase, to push notifications to rate the Phone Number Database webshop, to like the Facebook page, or, for example, an invitation to the newsletter where a specific discount is offered based on his searches. visual3 More relevance in the approach to your Phone Number Database customer Ultimately you achieve a much more relevant way of approaching your customer, whereby the temptation to make a purchase is naturally as great as possible.