A UK marketing and customer analytics platform for eCommerce retailers came to Armakuni for privacy-first analytics platform modernization: container platform, clean rooms, encryption, automated deployments, database migration.
The challenge
A platform modernization engagement that delivered scalable, privacy-first infrastructure for an eCommerce analytics SaaS, replacing a legacy cloud environment that couldn't support the partner integrations and compliance posture the business needed to grow.
Scale: Marketing data automation platform serving eCommerce retailers, integrating with global data partners across multiple regions.
What we built
Armakuni delivered privacy-first analytics platform modernization: container platform, clean rooms, encryption, automated deployments, database migration. The engagement ran as fixed-scope SOWs covering container platform foundation, encryption and access controls, modular analytics architecture, observability and CI/CD, and database migration.
The outcomes
5 measurable outcomes shipped across the engagement. The ones that moved the business the most:
30% reduction in global system latency. Karpenter-driven auto-scaling and consistent traffic management let retailers in every region get insights in time to act, not long after the campaign moment passed.
50% infrastructure cost savings. Spot instances on dev environments and the move from legacy compute to managed RDS mean growth no longer drives proportional spend, freeing budget for product work.
25% increase in conversion rates for retailers on the platform. Faster, more accurate campaign insights let marketing teams optimize advertising spend in time to influence results rather than after the budget is gone.
30% improvement in customer engagement for retailers on the platform. Modular analytics design and clean-room integrations let Sweet Analytics surface customer signals the previous architecture could not deliver.
Zero security incidents since cutover. Encryption at rest and in transit, fine-grained IAM, and real-time monitoring catch anomalies as they happen rather than after the fact.
Built on AWS
The production environment runs on 7 first-party AWS services. Delivered under our AWS Migration and Modernization and DevOps competencies.
What's next
Extending the modular analytics architecture to support additional data partner categories, building agentic AI capabilities for automated campaign optimization and personalized retailer recommendations, and expanding regional deployment footprint to support new global retailer accounts.
