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First of all, by setting up reliable and efficient tracking. Then, it will be necessary to check the quality of the data reported and implement corrections if necessary. Finally, setting up a data warehouse will be useful for collecting and storing data. From there, we use the intelligence of our data scientists, who will then be able to discover growth opportunities: determining different customer segments, removing barriers to conversion, modeling the most efficient attribution models.
Once all these steps have been completed, we will be able to once again optimize the performance of our acquisition campaigns. For example, for one of our clients in the fashion sector, which has a presence both in-store and online, the analysis of all their data allowed us to identify latestdatabase.com a significant advertising expenditure with their already loyal customers.

We therefore defined with them a new strategy via emailing in order to reduce media spending on loyal customers to reallocate this budget towards the 2 main audiences desired by the brand. Result: at constant expenses, +25% turnover and -16% churn rate. By segmenting customers as much as possible, and therefore establishing a specific strategy for each customer segment.
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