ChartMogul vs ProfitWell (2025): Which Should You Choose?

Choose ChartMogul if: • You use multiple billing systems • You want advanced segmentation and customization • You have a data team that values API access • You're growing fast and need scalable analytics Choose ProfitWell if: • Budget is your primary concern (free metrics) • You need payment recovery (Retain product) • You use or plan to use Paddle • Basic metrics are sufficient for now Consider QuantLedger if: • You want ML churn prediction • Flat pricing at $79/month appeals to you • You want predictive insights beyond historical data

A critical consideration: ProfitWell was acquired by Paddle in 2022. This has implications: What Changed: • Strategic direction favors Paddle ecosystem • Development velocity decreased for standalone features • Subtle pressure to consider Paddle for billing • Support response times reportedly longer What Stayed the Same: • Free metrics remain available • Retain product still works • Core functionality intact Who This Affects: • If you use Paddle: ProfitWell integration is seamless • If you don't: Consider whether ProfitWell's trajectory aligns with your needs • If billing flexibility matters: ChartMogul is billing-agnostic

The pricing models are fundamentally different: ProfitWell Pricing: • Core Metrics: Free forever • Retain (payment recovery): % of recovered revenue • Recognized (revenue recognition): Paid add-on • Total cost varies based on Retain performance ChartMogul Pricing: • Up to $10K MRR: Free • $10K-$75K MRR: $100/month • $75K-$300K MRR: $300/month • $300K+ MRR: $599/month Cost Analysis: At low MRR (<$10K): Both free At $50K MRR: ChartMogul $100/month, ProfitWell free (unless using Retain) At $100K MRR: ChartMogul $300/month, ProfitWell free (unless using Retain) ProfitWell appears cheaper for core metrics, but Retain costs can add up. ChartMogul has predictable costs but no payment recovery.

Core Metrics • Both: Complete MRR, ARR, churn, LTV coverage • Edge: Tie Segmentation • ChartMogul: Advanced, flexible custom segments • ProfitWell: Basic segmentation • Edge: ChartMogul Multi-Source Data • ChartMogul: Excellent (Stripe, Braintree, Recurly, PayPal, etc.) • ProfitWell: Limited (Stripe, Braintree, Recurly, Chargebee) • Edge: ChartMogul Payment Recovery • ChartMogul: Not available • ProfitWell: Retain (industry-leading) • Edge: ProfitWell Revenue Recognition • ChartMogul: Basic • ProfitWell: Recognized product (ASC 606 compliant) • Edge: ProfitWell Benchmarking • ChartMogul: Limited • ProfitWell: Extensive (large dataset) • Edge: ProfitWell API/Data Export • ChartMogul: Excellent API-first design • ProfitWell: Limited API • Edge: ChartMogul Churn Prediction • ChartMogul: Not available • ProfitWell: Not available • Edge: Neither (QuantLedger offers this)

Bootstrapped Startup (<$50K MRR) • Recommendation: ProfitWell • Reason: Free metrics, benchmarking, good enough for this stage • When to upgrade: When you need advanced segmentation or multi-source data Growing SaaS ($50K-$500K MRR) • Recommendation: ChartMogul • Reason: Better value, more flexibility, scales well • Consider: QuantLedger if you want churn prediction Enterprise ($500K+ MRR) • Recommendation: ChartMogul + data warehouse • Reason: Data flexibility, API access, custom analysis • Consider: Mixing tools (ChartMogul for data, other tools for prediction) Using Paddle or Considering It • Recommendation: ProfitWell • Reason: Native integration, strategic alignment • Consider: ChartMogul if you want billing flexibility

Both ChartMogul and ProfitWell excel at historical reporting—telling you what happened. Neither offers predictive analytics—telling you what will happen. What They Do Not Do: • Predict which customers will churn • Estimate revenue impact of at-risk accounts • Recommend proactive retention actions • Forecast based on behavioral patterns What QuantLedger Adds: • ML churn prediction (85-90% accuracy) • 30-day advance warning on at-risk customers • Revenue attribution without tracking pixels • $79/month flat pricing For companies wanting to move from reactive to proactive, adding a predictive layer on top of ChartMogul or replacing both with QuantLedger are options worth considering.