Features
For Retailer

Monitor & Analytics

Fully leverage the richness of your transactional and shopper database in order to extract the most relevant and actionable insights

Monitor & Analytics
Monitor & AnalyticsMonitor & Analytics
1

Measure the client loyalty

Analyze the performance by segment or group of clients across a wide set of KPIs: consumption profile, category mix, penetration, frequency and basket profile. All analyses can be performed along multiple & customizable cuts and granularity levels: time periods, group of products, banner or group of stores.

Measure the client loyalty
2

Segment the client base

Analyze along multiple cuts and criteria the shopper base and break it down into relevant client segments according to different angles: lifestage, consumption style, RFM segmentation, promotional sensitivity, price sensitivity, e-commerce appetence…

Segment the client base
3

Analyze the transfers and cross-purchasing between product groups

Analyze the relationships between different product groups: level of cannibalization, level of cross-purchasing. These analyses can be performed along multiple and customizable cuts and granularity levels: product scopes, time periods, banner or group of stores. Extract learnings to optimize the structure of your offering or the execution of merchandising & cross-merchandising.

Analyze the transfers and cross-purchasing between product groups
4

Extract raw KPIs

Dig into the transactional and shopper database and extract raw KPIs to play with, at customizable product and time scopes

Extract raw KPIs
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