Multi-Channel Cohort Analytics for B2C Growth Teams
TL;DR
Cohort analytics automation platform for B2C SaaS growth teams that auto-syncs Stripe, PostHog, and support tool data daily to track LTV vs. CAC by acquisition channel, so they can cut manual data work by 10+ hours/week and reduce CAC by 20%+ by doubling down on high-LTV channels.
Target Audience
B2C SaaS growth teams (marketers, data analysts, product leads) at companies making $500K–$10M ARR who need to track LTV vs. CAC by acquisition channel but lack the resources for full BI platforms.
The Problem
Problem Context
B2C growth teams need to track which acquisition channels drive the highest LTV vs. CAC, but their data is split across Stripe (payments), PostHog/Mixpanel (usage), and support tools (retention). Without connecting these, they can't make data-driven decisions on where to spend ad dollars or which customer segments to retain.
Pain Points
Teams waste hours manually pulling data from different tools, rely on 'duct-tape' automations that break, or guess which channels perform best. They lack a clear view of which acquisition sources produce customers with the best retention and lifetime value, leading to wasted ad spend and missed growth opportunities.
Impact
Poor decisions on ad spend cost businesses thousands per month. Without accurate cohort-level insights, teams can't optimize customer acquisition or retention, stalling growth. Frustration grows as manual processes become unsustainable, but dedicated BI tools are too complex and expensive for this stage.
Urgency
This problem can't be ignored because every day without accurate insights means wasted ad spend and lost revenue from poor customer segmentation. Growth teams need this data now to scale efficiently, but current workarounds are too slow and unreliable.
Target Audience
B2C SaaS companies in the $500K–$10M ARR range, growth marketers, data analysts, and product leads who manage customer acquisition and retention. Startups that outgrew manual tracking but aren’t ready for full BI platforms also face this issue.
Proposed AI Solution
Solution Approach
A lightweight, API-based tool that automatically connects Stripe, PostHog/Mixpanel, and support tools (like Zendesk or Intercom). It syncs data daily and surfaces cohort-level insights on LTV vs. CAC by acquisition channel, so teams can see which channels drive the best customers without manual work.
Key Features
- Cohort-Level Analytics: Groups customers by acquisition channel and tracks retention, LTV, and CAC over time.
- Channel Performance Dashboard: Shows which channels produce the highest LTV at the lowest CAC, with visual trends.
- Weekly Automated Reports: Delivers insights directly to growth teams’ inboxes so they don’t have to log in.
User Experience
Teams sign up, connect their tools via OAuth, and start seeing insights within 24 hours. No coding or setup is needed. They log in to see which acquisition channels drive the best customers, then adjust ad spend or retention efforts based on the data—all without manual exports or guesswork.
Differentiation
Unlike generic BI tools, this is built *for- B2C growth teams and focuses on the exact problem they face: connecting fragmented data to track LTV vs. CAC by channel. It’s simpler than Tableau or Looker but more powerful than manual spreadsheets, with pre-built integrations that just work.
Scalability
Starts with 3 key integrations (Stripe + PostHog + Zendesk) but can add more tools (like Facebook Ads or Google Analytics) as teams grow. Pricing scales with team size, so it stays affordable for startups but grows with the business.
Expected Impact
Teams save 10+ hours/week on manual data work and make better decisions on ad spend, leading to higher LTV and lower CAC. They can finally prove which channels drive real growth, not just vanity metrics, and retain the right customers longer.