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Stanbic Uganda – Hyper-Personalisation Campaign Platform

AI-powered customer personalisation, validated in a proof of concept and now moving to full-scale production

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Case Study

Industry Banking
Company Size 1,000+ employees
Project Length 6 months
Team Size 4.5 FTE

Problem Space

Personalisation
Generative AI
Campaign Automation
Customer Data

Technology Used

Amazon Bedrock AWS Python React FastAPI Kubernetes PostgreSQL SageMaker

Business Context

Stanbic Uganda wanted to move beyond broad customer segments and generic campaign content. Marketing teams were spending weeks manually building segments, creative, and copy — while customer data sat fragmented across systems, making true personalisation impossible at scale. 

Measurable Benefits

8 → 1
 weeks campaign turnaround 
+62%
 conversion rate uplift 
+45%
 open rate improvement 
556%
 balance sheet impact vs traditional 

Prototype-first, then production at scale

We started with a working prototype inside Stanbic's AWS account so stakeholders could experience the end-to-end workflow — from brief ingestion to segment generation to creative review — before committing to a full build. 

 The production platform was designed around governance from day one: human-in-the-loop approval for all AI-generated content, audit trails for every campaign decision, and role-based access aligned to Stanbic's marketing operations. 

1

Discovery & data mapping

Mapped customer data sources, campaign workflows, and brand guidelines to define integration points and personalisation boundaries.
2

Proof of concept

Built a clickable prototype on Amazon Bedrock with live data samples, validated with marketing leadership on a reactivation use case.
3

Production rollout

Deployed the full platform with segment engine, creative generation, review workflows, and email delivery integration. 

Platform in

Screenshots from the deployed solution — dashboards, workflows, and interfaces built for this client. 
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Campaign overview dashboard

  • Single view of problem, solution, and measured outcomes for stakeholder reporting. 
  • Tracks segment count, creative variants, and campaign status in one place. 
  • Used by marketing leadership to sign off before each send. 
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Hyper-segment builder

  • Generates 46 unique segments from a single campaign brief and customer data. 
  • Replaces manual analyst work that previously took weeks per campaign.
  • Each segment gets tailored imagery, copy, and call-to-action variants.  
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Creative review workflow

  • Human-in-the-loop approval for all AI-generated imagery and copy. 
  • Brand guidelines enforced automatically before content reaches reviewers. 
  • Full audit trail of every edit and approval before email send. 

In their words

"The prototype let our executives see exactly what hyper-personalisation would look like before we committed budget. That changed the conversation entirely." 
Marketing Director Stanbic Uganda
"We went from three broad segments to 46 tailored ones in a single campaign. The team finally has time to think about strategy instead of manual production." 
Head of Customer Engagement Stanbic Uganda