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Comparison · Analytics

RevenueCat vs Count

A side-by-side editorial comparison of RevenueCat and Count — release velocity, themes, recent moves, and the top alternatives to consider.

RevenueCat vs Count: at a glance

FeatureRevenueCatCount
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesmobile-monetization, subscriptions, paywalls, ad-revenueagentic-analytics, mcp, public-api, warehouse-connectors
Last editorial update1mo ago11d ago
WebsiteVisit →

What is RevenueCat?

Stretching from subscription infrastructure into hybrid subs+ads revenue tracking, with paywalls getting smarter.

RevenueCat is broadening from subscription-only to subscription-plus-ads with in-app ad revenue tracking now in public beta — apps using AdMob or AppLovin can send ad events through the SDK and see ad and sub revenue side by side. Paywalls have gained meaningful logic depth (Paywall Rules to show/hide components by intro-offer eligibility or custom variables) and the iOS/Android fallback paywall now auto-styles using the app icon's dominant color. Operational tooling has caught up: archived offerings/products/entitlements, OAuth token visibility and revocation, predicted-LTV winners in Experiments.

Read the full RevenueCat trajectory →

What is Count?

Count is turning its BI canvas into a governed, agent-operated analytics platform.

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

Read the full Count trajectory →

RevenueCat vs Count: editorial side-by-side

R
RevenueCat
ANALYTICS
0.0

Stretching from subscription infrastructure into hybrid subs+ads revenue tracking, with paywalls getting smarter.

◆ Current state

RevenueCat is broadening from subscription-only to subscription-plus-ads with in-app ad revenue tracking now in public beta — apps using AdMob or AppLovin can send ad events through the SDK and see ad and sub revenue side by side. Paywalls have gained meaningful logic depth (Paywall Rules to show/hide components by intro-offer eligibility or custom variables) and the iOS/Android fallback paywall now auto-styles using the app icon's dominant color. Operational tooling has caught up: archived offerings/products/entitlements, OAuth token visibility and revocation, predicted-LTV winners in Experiments.

◆ Where it's heading

The product is moving from 'subscription billing infra' to 'mobile monetization platform.' Ad revenue tracking is the headline because it changes who RevenueCat is for — every freemium app with mixed monetization, not just sub-driven apps. Paywall Rules suggest the company is going deeper on the merchandising layer rather than ceding it to MMP-adjacent tools. The Experiments-side LTV predictions and locale-aware paywalls signal continued investment in the optimization story.

◆ Prediction

Expect the in-app ad revenue beta to GA with deeper SDK support for more ad networks, more sophisticated Paywall Rules conditions (likely user-segment and behavioral triggers), and tighter Experiments + ad-revenue correlation as customers compare hybrid monetization mixes.

C
Count
ANALYTICS
6.3

Count is turning its BI canvas into a governed, agent-operated analytics platform.

◆ Current state

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

◆ Where it's heading

Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.

◆ Prediction

Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.

Alternatives to RevenueCat and Count

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either RevenueCat or Count.

See all RevenueCat alternatives → · See all Count alternatives →

Recent activity from RevenueCat and Count

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 15d agoCountConnect external MCP servers to the Count agent
  2. 29d agoCountDashed lines
  3. 1mo agoCountNew workspace home
  4. 1mo agoCountClickHouse support
  5. 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack
  6. 2mo agoRevenueCatAdd annotations to charts to mark significant events
  7. 2mo agoCountPublic API and MCP server
  8. 3mo agoRevenueCatTrack in-app ad revenue alongside your subscriptions
  9. 3mo agoRevenueCatShow or hide paywall components with rules
  10. 3mo agoRevenueCatFallback paywall auto-styles with your app's brand colors
  11. 4mo agoRevenueCatArchive offerings, products, and entitlements from your catalog
  12. 4mo agoRevenueCatSee and revoke OAuth tokens in Account Security

Frequently asked questions

What is the difference between RevenueCat and Count?

They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is RevenueCat better than Count?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to RevenueCat?

Top RevenueCat alternatives in Analytics are ranked by recent ship velocity. Browse the "RevenueCat alternatives" section above for the current picks, or visit /alternatives/revenuecat for the full list with editorial commentary on each.

What are the best alternatives to Count?

Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.