Your BigQuery warehouse, completed by data born in store.
Your data team analyses the house's activity in BigQuery: sales, e-commerce, campaigns. Selekt brings that warehouse the material it was missing, the kind born in store, which no system kept track of: the visit, the advisor's gesture, the preference voiced in the fitting room.
What your analyses did not have yet.
The store visit
Who came, when, for what, and whether they left with a purchase. Footfall stops being anonymous; it becomes a series your analysts can cross with everything else.
Relationship work
Follow-ups, appointments, pieces put on hold: the advisors' daily gesture, invisible until now, becomes activity data in its own right.
The link between gesture and sale
An advisor's follow-up and the receipt that follows it are tied together, within a window set by the house. It is an entirely new dimension of analysis.
Qualitative client knowledge
Sizes, preferences, dates that matter: the finest material in premium retail, finally consolidated at house level instead of living in notebooks.
What the warehouse sees, with and without Selekt.
| Existing systems | Selekt | |
|---|---|---|
| Purchase history and receipts | ||
| The visit without a purchase | ||
| The preference voiced in the fitting room | ||
| The advisor's follow-up | ||
| The sale tied to that follow-up |
Your existing systems keep feeding the warehouse as they do today: Selekt adds a source, it removes none.
The data team keeps its tools and its freedom.
Selekt imposes neither dashboards nor methods: it supplies reliable material, and your analysts do with it as they please.
01
Your warehouse, your models
The house analyses its data where it has chosen to, with its own tools and its own models. Selekt fits into that ecosystem, it does not replace it.
02
Data that belongs to you
Data born in store is the house's property, like the rest of your data estate. You dispose of it freely, including if you ever leave.
03
A governed frame
Field-level permissions, a full audit log, hosting in the European Union: the scope of what circulates is defined with your team at setup.
The analyst, the advisor, leadership.
What we are asked about BigQuery.
Clienteling ROI calculator.
Discover your personalised revenue projections, based on the real performance of networks equipped with clienteling.
Your current metrics
Annual revenue
All channels combined, per year
€1,000,000
Average basket (AOV)
The average value of a sale
€600
Sales advisors
In store and remote
7
Number of clients
Active clients across all points of sale and online
100
Purchases / year
Per client per year
20
Request a demo
Discover Selekt directly with your use cases.
A guided demonstration, tailored to your boutique network.
- Thirty minutes
- No commitment
Page updated October 22, 2026
