Search "ChartMogul vs Baremetrics" and four of the top ten results are published by Baremetrics. Two more are ChartMogul's own comparison pages. The remaining slots go to affiliate reviewers who earn a commission on signups. There is no neutral, practitioner-perspective comparison on the first page of Google. This article is an attempt to write one.
ChartMogul vs Baremetrics — an honest comparison
Both tools launched in the same era — the 2014–2015 wave of SaaS analytics platforms built to sit on top of Stripe. Both solve a real problem: Stripe's native reporting tells you what happened but not what it means for your business. MRR, churn, LTV, expansion revenue — these require interpreting raw billing events through SaaS-specific definitions, and neither tool makes you build those definitions yourself.
The problem with every comparison you'll find online is incentive alignment. A vendor-authored comparison will always structure the feature matrix to favor the author. Baremetrics leads with benchmarks and transparency (their open startups page is genuinely useful). ChartMogul leads with data source breadth and segmentation. Both are telling the truth — they're just telling different truths.
What both tools do well
Before getting into the differences, it's worth acknowledging the shared ground. Both ChartMogul and Baremetrics solve the core problem competently, and for many teams either one would be a meaningful upgrade over spreadsheets.
Stripe/billing integration
Both connect directly to Stripe and process subscription events in near-real-time. You connect your Stripe account, the tool reads your historical data, and within hours you have a dashboard with months of back-filled metrics. No CSV exports, no cron jobs, no manual reconciliation.
The Stripe integration quality is mature in both products. Annual contracts normalize to monthly values. Prorations are handled. Trial conversions register correctly. If Stripe is your only billing system, both tools will give you accurate MRR from day one.
Monthly Recurring Revenue
Predictable monthly revenue from active subscriptions, normalized from all billing intervals.
Core SaaS metrics
Both platforms calculate the standard SaaS metrics suite: MRR and its movement components (new, expansion, contraction, churn), ARR, customer count, ARPU, churn rates (customer and revenue), LTV, and net revenue retention. The definitions are industry-standard and match what investors expect in a board deck.
For a seed-stage company with a single Stripe account and monthly-only plans, either tool handles the job. The differences start to matter when your billing complexity grows or when your reporting needs extend beyond a single dashboard.
Customer Churn Rate
Percentage of customers lost during a period, relative to the count at the start of that period.
Where they differ — feature by feature
The meaningful differences cluster around five areas. Each one matters more or less depending on your stage, billing setup, and who needs to consume the metrics.
Data sources and integrations
ChartMogul supports more billing systems natively: Stripe, Braintree, Recurly, Paddle, Chargebee, Google Play, App Store, and a CSV import for anything else. If you run a hybrid billing stack — Stripe for self-serve, Chargebee for enterprise — ChartMogul can unify them.
Baremetrics is Stripe-first. It supports Recurly and Braintree, but the integration depth isn't equivalent. If Stripe is your only billing system, this difference is irrelevant. If you're on Paddle or Chargebee, it narrows your options.
North Metric is Stripe-only by design. The trade-off is depth over breadth: every metric definition is tuned to Stripe's data model, including edge cases like metered billing components and multi-currency normalization.
Segmentation and filtering depth
This is ChartMogul's strongest differentiator. You can segment by plan, billing interval, geography, custom attributes, and combinations of all four. Want to see churn rate for annual enterprise plans in EMEA? ChartMogul can do that out of the box.
Baremetrics offers basic filtering — by plan, by date range — but not the multi-dimensional segmentation that ChartMogul provides. For a company with a single plan and a homogeneous customer base, this doesn't matter. For a company with five plans, three geographies, and a mix of monthly and annual billing, it's the feature that justifies ChartMogul's higher price.
Benchmarking capabilities
Baremetrics has historically led on benchmarks. Their Open Benchmarks page publishes anonymized, aggregate data across their customer base. You can compare your churn rate, ARPU, and LTV against the median and top quartile. The dataset skews toward smaller companies (most Baremetrics customers are sub-$1M ARR), so the comparisons are most useful if you're in that range.
ChartMogul introduced benchmarking later and with less depth. The comparison set is less transparent — you know your percentile ranking but not the underlying distribution.
North Metric takes a different approach: benchmarks are scored per metric with percentile rankings and health tiers, contextualized by ACV range and company stage. The benchmarks are curated from published industry data rather than derived from the customer base, which avoids the sample-bias problem but means they update on a research cadence rather than continuously.
Multi-company / portfolio support
Neither ChartMogul nor Baremetrics was built for multi-company use cases. Both are single-company tools — you connect one company's billing data and see one company's metrics. If you manage three portfolio companies, you need three separate accounts and three separate logins.
This is the gap that matters most for holding companies, PE operating partners, venture studios, and fractional CFOs. You can't see a portfolio-level MRR rollup. You can't compare churn rates across companies in a single view. You can't generate a consolidated report without exporting from each account and merging in a spreadsheet — which defeats the purpose of having a connected tool.
North Metric supports multiple companies under a single account with portfolio-level rollups. It's a genuine architectural difference, not a workaround — the data model is designed for multi-entity reporting from the ground up.
Pricing structure and value tiers
Baremetrics prices by MRR, starting with a free tier for very early-stage companies (under $5K MRR). Paid plans scale from around $108/mo to $867/mo as your MRR grows. The free tier is a genuine differentiator for pre-revenue and early-revenue startups.
ChartMogul prices by MRR as well, starting at $100/mo for companies under $120K MRR. There is no free tier. The per-dollar cost is comparable to Baremetrics at most MRR levels, but the entry point is higher.
North Metric offers a free tier with the core metrics suite and usage-based pricing above it. The pricing model is designed around the number of connected companies rather than MRR, which makes it more predictable for portfolio operators managing multiple entities.
| Feature | ChartMogul | Baremetrics | North Metric |
|---|---|---|---|
| Stripe integration | |||
| Non-Stripe billing | |||
| Advanced segmentation | |||
| Benchmarks | |||
| Multi-company support | |||
| Portfolio rollup | |||
| Investor-grade exports | |||
| Free tier available |
Where neither tool is strong
A fair comparison should also name the gaps that neither product fills well. Two stand out — and they're the gaps that drive the most manual work for the people who hit them.
Portfolio-level views
As noted above, neither ChartMogul nor Baremetrics supports multi-company portfolios natively. This isn't a minor convenience feature — it's a structural limitation that affects an entire class of users. PE operating partners, holding company CFOs, and venture studio leads all need to see aggregate metrics across 5–50 companies. Both tools require separate accounts per company, which means separate logins, separate exports, and manual aggregation.
The workaround is always the same: export CSVs from each account, merge them in a spreadsheet, and build the portfolio view manually. At that point you're back to the spreadsheet problem that a connected tool was supposed to solve.
Due diligence and investor-grade reporting
Both tools produce dashboards that are useful for internal operations. Neither produces output that meets the bar for investor due diligence or board reporting without significant post-processing. The missing pieces: branded exports, period comparisons with commentary, metric definitions that match the recipient's expectations, and the ability to freeze a snapshot in time rather than showing a live-updating number.
When a PE firm asks for "trailing twelve months of MRR, churn, and NRR with cohort breakdowns," neither tool generates that package. You export the data, build the presentation in slides or a spreadsheet, add context, and send it. The tool saved you the calculation step but not the reporting step.
When to choose what — a decision framework
The right tool depends on your specific situation, not on which vendor writes the most persuasive comparison page. Here's a framework based on the dimensions that actually differentiate the options.
Choose ChartMogul if you use multiple billing systems (Stripe + Chargebee, Stripe + Paddle) and need unified metrics across them, or if advanced segmentation is central to how you operate — you regularly slice metrics by plan, geography, or custom attributes and need those dimensions available without exporting.
Choose Baremetrics ifyou're an early-stage Stripe-only company that values benchmarks and wants a free or low-cost entry point. The free tier is real and genuinely useful for pre-$5K-MRR companies. The Open Benchmarks data is a unique asset if your primary question is "how do we compare?"
Choose North Metric ifyou manage multiple companies — a portfolio, a holding company, or a fractional CFO practice — and need a single view across all of them. The multi-company architecture and portfolio rollups solve a problem that neither ChartMogul nor Baremetrics addresses. It's also the better fit if investor-grade reporting and benchmarks contextualized by stage and ACV matter more than billing-system breadth.
Stick with spreadsheets ifyou're pre-revenue or under $50K MRR with a single plan and a single Stripe account. At that stage, the spreadsheet works fine, the metrics are simple enough to calculate by hand, and the subscription cost of any tool exceeds the time it saves. Switch when the maintenance burden crosses the threshold — usually around $100K MRR or when a second stakeholder needs to trust the numbers.
No tool is the right answer for every company. The best comparison is the one that helps you match your current constraints — billing complexity, reporting audience, portfolio size — to the tool that handles them without workarounds. Everything else is marketing.