AllBright is a global community for working women, offering members access to exclusive clubs, events, content and networking opportunities. As their membership grew, so did the challenge of delivering a truly personalised experience across web and mobile. We built the recommendation engine that powers it all.
The Challenge
AllBright had rich data spread across different systems — member profiles, event attendance, content interactions, and more. But it was hard to join it up into a coherent picture of each member. Every frontend team was building its own ad hoc logic for “what to show next.”
There was no consistent engine for “people like you” recommendations. Members were seeing generic content instead of the events, articles, and connections most relevant to their interests and career stage. AllBright needed a central service that could power personalisation across the estate, without slowing down feature development.
Our Approach
We designed and implemented a standalone recommendation API that acts as the “brain” behind AllBright's digital experiences. Rather than scattering personalisation logic across multiple apps, we created a single source of truth that all frontends can query.
What We Delivered
- A standalone recommendation API serving multiple apps and touchpoints
- Daily data pipeline transforming raw activity data into a connected relationship model optimised for recommendations
- Stripe integration linking personalised recommendations to paid products and benefits
- Comprehensive testing and validation across APIs and third-party services
This gave AllBright a foundation to run experiments, tweak recommendation logic, and roll out new experiences without rewriting each app.
How We Built It
We architected a central “intelligence layer” that sits between AllBright's raw data and their member-facing apps. By implementing a high-performance graph database, we modeled the complex web of relationships between members, their professional interests, and community interactions.
Our data engineering team built robust pipelines to ingest and cleanse activity data in near real-time, ensuring recommendations adapt as member behaviour changes. This is exposed via a secure, high-availability API that any digital touchpoint—web, mobile, or email—can query instantly.
Crucially, we integrated this engine directly with commercial systems, allowing personalised journeys to seamlessly drive membership upgrades and event bookings, proving that user value and business value can grow hand-in-hand.
The Results
With the new recommendation API in place, AllBright transformed their digital member experience from generic to genuinely personal.
Outcomes
- More relevant experiences for members across web and mobile
- Single place to evolve personalisation logic without touching every frontend
- Reduced duplication and inconsistency across apps
- Data platform ready for future machine learning and experimentation
- Seamless connection between recommendations and payment flows
Why It Matters
For a community-driven business, relevance is everything. Stratatech helped AllBright connect the dots between content, events, and members — so the product can evolve from “show everything” to “show what matters most to you.” That's the difference between a platform members tolerate and one they love.