Industry Solution
Make large customer ecosystems intelligible, governable, and actionable.
Super apps and telecom-scale platforms operate across many services, teams, identifiers, and customer contexts. Binoban creates a modular customer data infrastructure that connects signals across services, resolves identity, supports audience activation, and opens monetization without forcing one team to rebuild everything.
Direct answer
For super apps and large platforms, Binoban is a modular customer data layer that resolves identity across services, gives teams governed access to a shared customer truth, and opens audience monetization across owned and partner inventory — adopted service by service, not in one rebuild.
The platform-scale reality
The problem, and why now.
Super Apps & Platforms
When a customer touches many services across many teams, no single group owns the whole picture. The challenge is a modular layer that connects the ecosystem without a from-scratch rebuild.
The timing
As ecosystems add commerce, payments, and media, fragmented per-service data caps cross-sell and monetization. A governed shared layer is what lets a platform act as one company to the customer.
Core use cases
What Binoban makes possible here.
Explore these on the Platform overview.
Data inputs
What the solution runs on.
Per-service events
Behavioral signals from each service or business line.
Cross-service identity
The identifiers that link a customer across products.
Transactions
Commerce, payment, and subscription activity where present.
Campaign signals
Owned messaging and media exposure across services.
Partner data
Governed partner and group-company signals.
Consent & policy
Consent scope and access policy per service and team.
How it works
From signals to measured outcomes.
Resolve
Unify identity across services into one governed customer view.
Govern
Give each team controlled, policy-bound access to shared profiles.
Orchestrate
Run lifecycle journeys and cross-sell across products.
Monetize
Open audience activation across owned and partner inventory.
Start focused. Expand modularly.
Begin with one high-value use case.
Success metrics
How success is measured.
Cross-service reach
Customers resolved across two or more services.
Cross-sell rate
Adoption of additional services among unified profiles.
Monetizable audience
Consented audience available across owned and partner inventory.
Team adoption
Internal teams operating from the shared governed layer.
Targets are set per engagement against your baseline and holdouts. Binoban does not publish guaranteed performance figures.
Deployment & considerations
How it deploys, and what to watch.
Control boundary
Deploy as shared infrastructure inside your environment, with per-service and per-team governance. Modular adoption means services onboard incrementally without a platform-wide rebuild. See Deployment and Trust & Security.
Prerequisites & risks
Identifier strategy and inter-team governance are the hard parts at platform scale. We define the identity and access model up front so the shared layer earns trust across business units.
Common questions
Answers for evaluators.
Do we have to rebuild everything at once?
No. Binoban is modular — you can start with identity and profiles for one or two services and expand across the ecosystem as value is proven.
How is access governed across teams?
Each team gets policy-bound access to the shared profile layer, so a single customer truth is reused without losing per-service governance.
Can platforms monetize audiences?
Yes. Governed audiences can be activated across owned and partner inventory, opening media and data-product revenue on first-party signals.
Bring this problem. We'll bring the architecture.
Tell us your data environment, scale, and the outcome you need. We'll map the solution path and deployment model that fit.