Artefact’s methodology is divided in three chronological steps.
1-We begin with aggregating data from 1st, 2nd & 3rd party sources, which allows us to collect customer input (navigation, purchases, responses to advertisement) in near real time, and build a relevant data-driven segmentation.
2- We design dedicated content, consistent throughout all marketing channels, for each cluster of the client segmentation.
3- We engineer omni-channel activation, scenarised with a « test and learn » approach with the help of a reinforcement learning algorithm: only best performing journeys (in terms of ROI or client satisfaction) are kept in the long run.
In order to prove the value of our methodology, its deployment goes hand in hand with a performance measurement dashboard, based on the client’s key indicators.