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Evidence library

Banking · Growth

Campaign intelligence

Leading consumer bank

Partner-reportedPlatform: FinbotsAI targetX
<1 wk
model cycle
3×
marketing ROI
−60%
campaign spam

Context

A consumer bank wanted to grow product holdings without increasing contact fatigue.

Challenge

Broad campaigns wasted spend and annoyed customers with irrelevant offers.

What we deployed

Campaign-level propensity models targeting the customers most likely to respond.

Typical architecture

  1. STEP 01

    Customer and product data assembled per campaign

  2. STEP 02

    targetX trains propensity models in under a week

  3. STEP 03

    Ranked audiences pushed to the campaign platform

  4. STEP 04

    Response tracked against a control group

Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.

Results

  • <1 wk model cyclePartner-reported
  • 3× marketing ROIPartner-reported
  • −60% campaign spamPartner-reported

NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.

Governance approach

  • Control groups measure true incremental lift
  • Contact rules and consent honoured

Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.

Run a pilot like this

Prove it on your own baseline in 8–12 weeks.

Fixed-fee discovery and pilot. Production only after your acceptance criteria are met.