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Business Intelligence · head to head

Baremetrics vs JMP

Baremetrics logo

Baremetrics

Business Intelligence

Subscription analytics for SaaS

From
$75/month
Rated
-
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: Baremetrics priced on the revenue it measures, so the bill rises with your ARR rather than with usage: $75 a month up to $360K ARR, $255 to $3.6M and $1,152 above that; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: Baremetrics covers Revenue Metrics, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Baremetrics and JMP actually diverge.

Attributes where Baremetrics and JMP differ
AttributeBaremetricsJMP
Starting price$75/monthFree
Free tierNoYes
PlatformsWeb, ApiMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded20131976

Identical on both: pricing model (subscription), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Baremetrics

  • Revenue Metrics
  • Forecasting
  • Benchmarking
  • Cancellation Insights
  • Email Reports
  • Stripe
  • Braintree
  • Recurly

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

What people use each for

The jobs each tool is most often brought in to do.

Baremetrics

  • Subscription metrics and MRR reporting from Stripe and similar billing systemsnot JMP
  • Churn and retention analysisnot JMP
  • Failed payment recovery through the add-onnot JMP
  • Cancellation surveys to understand why customers leavenot JMP

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Baremetrics
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Baremetrics
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Baremetrics
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Baremetrics

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Baremetrics

  • Priced on the revenue it measures, so the bill rises with your ARR rather than with usage: $75 a month up to $360K ARR, $255 to $3.6M and $1,152 above that
  • Payment Recovery and Cancellation Insights are separate add-ons at $129 a month each
  • The advertised prices assume annual billing with a discount of up to 35 percent
  • There is no free tier, only a trial

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

Baremetrics

$75/month
  • Launch$75/month
    • Target $0-360K ARR
    • Single integration
    • Core analytics features
  • Growth$255/month
    • Target $360K-$3.6M ARR
    • Two integrations
    • Advanced features
  • Scale$1152/month
    • Target $3.6M+ ARR
    • Unlimited integrations
    • Enterprise features

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Which should you pick?

Choose Baremetrics if

  • You need revenue metrics.
  • You work on Web, Api.
  • You also want forecasting.

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.

Questions people ask

Is Baremetrics or JMP better?
Neither clearly leads. Baremetrics starts at $75/month and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baremetrics or JMP?
JMP has a free tier; the other does not. Paid plans start at $75/month for Baremetrics and Free for JMP.
Does Baremetrics or JMP run on more platforms?
Baremetrics runs on Web, Api. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Baremetrics starts at $75/month.
What is Baremetrics best used for?
Baremetrics is most often used for subscription metrics and mrr reporting from stripe and similar billing systems, churn and retention analysis, failed payment recovery through the add-on, cancellation surveys to understand why customers leave. Of those, subscription metrics and mrr reporting from stripe and similar billing systems and churn and retention analysis are not what JMP is typically brought in for.
What can Baremetrics do that JMP cannot?
Baremetrics covers Revenue Metrics, Forecasting, Benchmarking, Cancellation Insights. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Baremetrics: How much does Baremetrics' Launch plan cost per month?

Baremetrics' Launch plan starts at $75 per month with annual billing, or $49 per month with annual prepayment (35% discount when paying yearly).

Source
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

Baremetrics: What is the difference between Baremetrics plans?

Launch includes one integration and core analytics; Growth ($255/month) adds a second integration and advanced dashboards; Scale ($1,152/month) includes unlimited integrations and enterprise features.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

Baremetrics: What add-ons are available in Baremetrics?

Payment Recovery and Cancellation Insights are available as add-ons at $129 per month each to automate failed payment recovery and churn reduction.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

Baremetrics: Is there a free trial for Baremetrics?

Yes, Baremetrics offers a free trial available for new users to test the platform before committing to a paid plan.

Source
JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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