LLM use case: better understand customer expectations for a player in the travel sector
Eleven helped a world leader in travel booking to better understand customer expectations and pain points.
Our client, a European leader in online sales of sporting goods, wanted to conduct an in-depth analysis of its member and customer base to better understand the conversion behaviors of its audience.
Eleven’s data scientists combined the analysis of the client’s order database (Python), of traffic data from Google Analytics, of the opening patterns of commercial emails, of engagement on social networks and of answers to a qualitative questionnaire to draw up precise profiles of non-converting visitors, of non-recurring customers and of regular customers. These efforts helped identify levers for optimizing marketing efforts as well as ways to strengthen the product offering.
The recommendations were then detailed in a 3-year quantified development roadmap (revenues and costs).
Hundreds of data analyses to qualify the member and customer base
Several levers for optimizing marketing efforts and the product offering identified
Detailed and costed 3-year operational roadmap
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