CashSDK Revenue Analytics review
A focused analytics layer for subscription businesses across apps, billing, and warehouses.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
CashSDK Revenue Analytics is built for subscription apps and digital products that need a unified view of recurring revenue. It tracks MRR, LTV, churn, retention, trial-to-paid conversion, expansion, contraction, cohorts, and payback curves from purchase events. Its audience includes mobile teams, digital-product businesses, and operators working across app stores, payment systems, product analytics tools, and data warehouses. The product is part of CashSDK’s wider in-app purchase, paywall, entitlement, and receipt-validation platform, making it particularly relevant where subscription analytics must connect to transaction data.
Pricing is straightforward at the entry level: the Standard plan costs $25 per month and includes all features, unlimited seats, integrations, and webhooks. It also uses a usage-based component of 0.5% above included revenue. Enterprise adds custom volume pricing, dedicated support, a 99.9% uptime SLA with service credits, one-hour P1 support, SSO, and advanced security controls. The free plan gives smaller teams a way to start, while Standard is the clearest fit for businesses that need the full analytics and integration set without moving to enterprise arrangements.
Its strongest ecosystem advantage is breadth across mobile stores, billing, product analytics, marketing analytics, and warehouse tooling. Connections include Apple App Store, Google Play, Stripe, Amplitude, Mixpanel, PostHog, Heap, Google Analytics, Segment, Snowflake, BigQuery, Redshift, Databricks, Fivetran, and Airbyte. Warehouse export supports BigQuery, Snowflake, and other data lakes, while reconciliation helps align store transactions with subscription metrics. Choose CashSDK Revenue Analytics when recurring-revenue analysis is the priority; consider a broader reporting product if subscription economics are only a small part of the analytics workload.
CashSDK Revenue Analytics pros and cons
- Where it wins
- MRR, LTV, churn, cohort, funnel, and payback analysis
- Reconciles Apple App Store and Google Play transactions
- Exports normalized purchase data to BigQuery, Snowflake, and data lakes
- Where it doesn't
- Usage-based pricing adds 0.5% above included revenue
- Enterprise pricing is custom rather than publicly specified
- Focused on subscription revenue analytics, not general business reporting
CashSDK Revenue Analytics fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update