Trusted by data teams across Europe
Cibler et convertir
3 cas d'usage
Garder et développer vos clients
3 cas d'usage
DG · Commercial · Service client
Anticiper le churn
Sachez quels clients vont partir. Avant qu'ils partent.
→
Commercial · Account managers
Upsell et ventes additionnelles
Vos clients actuels peuvent acheter plus. Sachez lesquels.
→
DG · Marketing · Commercial
Valeur client (LTV)
Sachez ce que vaut chaque client. Et où investir.
→
Prévoir et piloter
2 cas d'usage
COMMENT ÇA MARCHE
The data exists. it just doesn't reach the decision.
01
It's all there
The warehouse is full. Dashboards live, models running. Most of it stays where nobody looks.
02
The gap
Teams export to spreadsheets, paste numbers into slides. Predictions sit in a table nobody opens.
03
The fix
The cost was never producing the data. It's the distance to the decision. Data consumption closes it.
The dashboard doesn't care if the number is past or predicted.
Whatever mode you consume in, descriptive and predictive analytics travel together. The revenue curve from your warehouse and the churn score from your ML model are queryable the same way, in the same dashboard, through the same API.
Your teams stop switching between a tool for the past and a tool for the future.