Case study - Client

How a branch network took back control of loyalty and online reputation

A multi-branch bank was seeing a gradual erosion of its customer base without ever knowing, in advance, which customers were about to leave. At the same time, its Google reviews per branch were scattered, never monitored, and often dominated by old, unanswered negative reviews.

The context

A multi-branch bank was seeing a gradual erosion of its customer base without ever knowing, in advance, which customers were about to leave. At the same time, its Google reviews per branch were scattered, never monitored, and often dominated by old, unanswered negative reviews.

Results: CX KPI & Google reviews

+16
NPS points in 8 months
+0.7 star
average Google rating per branch
48h
average callback time after a negative review
32%
reduction in targeted attrition

What was put in place

Continuous monitoring & AI recommendations

Beyond one-off measurement, the platform continuously monitors CX KPIs and Google reviews around the clock, without waiting for a quarterly report to detect drift. AI-generated recommendations automatically prioritize the highest-impact actions for each team, rather than leaving managers to interpret rows of numbers on their own.

Why it worked

By combining internal NPS/CSAT tracking with active Google review management, the bank could prioritize its weakest branches and document, branch by branch, the direct impact of better service on its public reputation.

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