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CubegleData · AI · Cloud
Business Intelligence · Data Engineering

Subscription and Product Analytics for B2B SaaS

Centralised metrics for MRR, churn, activation, and customer health — plus embedded analytics for end users.

Overview

A B2B SaaS organization needed comprehensive visibility into subscription metrics but operated without a unified analytics framework across multiple disparate tools.

The challenge

  • MRR and churn metrics were inconsistent across teams
  • Difficulty segmenting customers by usage pattern, pricing tier or lifecycle phase
  • Stakeholders relied on spreadsheets and manual exports
  • No analytics accessible within the customer-facing application

The architecture

  1. 01

    Source Systems

    Billing, product events and CRM data

  2. 02

    Subscription Layer

    Normalized model combining billing, usage and CRM data

  3. 03

    Internal Dashboards

    Product, marketing and finance reporting

  4. 04

    Embedded Analytics

    Customer-facing analytics inside the SaaS UI

What we built

  • Standard subscription metrics: MRR, ARR, churn, expansion
  • Cohort and retention analysis models
  • Customer health scoring incorporating usage, support and plan data
  • In-application analytics dashboards

Outcomes

  • Leadership gained a consistent view of subscription health
  • Product teams enabled cohort-based feature adoption tracking
  • Customers accessed clear value through in-app analytics and reports
  • Improved cross-functional alignment between sales, marketing and product

Let's talk about what your data should be doing for you

Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.