SaaS metrics and analytics · November 2026 Edition
ProfitWell Metrics vs Baremetrics
One of fourteen models named ProfitWell Metrics first on the direct prompt; one named Baremetrics. Both were named by all fourteen models and ProfitWell Metrics carries 46 labels and Baremetrics 55, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share13%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 14; printed, not drawn.
Labels4655A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ProfitWell Metrics reading right to left. Rank and label count are printed, not drawn.ChartMogul was named alongside these two in ten of the fourteen direct answers. ChartMogul vs ProfitWell Metrics · ChartMogul vs Baremetrics · ProfitWell Metrics vs Databox
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the saas metrics and analytics page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ProfitWell MetricsFirst choices, of fourteen modelsBaremetrics
Direct111 against Baremetrics
Paraphrase002 against ProfitWell Metrics
Comparative022 against ProfitWell Metrics
Budget-constrained611 against ProfitWell Metrics
Scale-constrained00
Negative018 against ProfitWell Metrics · 9 against Baremetrics
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, ProfitWell Metrics and Baremetrics were named in the same answer 105 times, of the 121 answers naming ProfitWell Metrics and the 152 naming Baremetrics. In those answers Baremetrics took the first choice twelve times and ProfitWell Metrics twenty-one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where ProfitWell Metrics and Baremetrics stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | | |
ProfitWell Metrics Baremetrics first choice named as an alternative argued againstblank: not namedEach cell is one answer, ProfitWell Metrics on the left and Baremetrics on the right.The direct prompt
The plain question, one answer per model, grouped by where ProfitWell Metrics and Baremetrics stood in it.
ProfitWell Metrics first, Baremetrics not the choice
1 of 14 modelsBaremetrics was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashProfitWell Metrics alternatives: Clari, Microsoft Power BI
Baremetrics first, ProfitWell Metrics an alternative
1 of 14 modelsProfitWell Metrics was named in the answer but not as the choice, or not at all.Muse Glimmer 30BBaremetrics alternatives: ChartMogul, Databox, ProfitWell Metrics
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5ChartMogul alternatives: Baremetrics, Databox
GPT-5.4 miniDatabox alternatives: Baremetrics, ChartMogul, Looker, Tableau
Grok 4.20ChartMogul alternatives: Baremetrics, Metabase, ProfitWell Metrics
DeepSeek V4 FlashChartMogul alternatives: Baremetrics, Databox, ProfitWell Metrics
Kimi K2ChartMogul alternatives: Amplitude, Baremetrics, Databox, Mixpanel
Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashMosaic alternatives: ChartMogul, Looker, Maxio Metrics, Metabase, Subscript
Perplexity SonarDatabox alternatives: Amplitude, ChartMogul, Maxio Metrics, Mixpanel
Mistral SmallFairview alternatives: Databox, Intempt
Llama 4 MaverickChartMogul
GLM 4.7 FlashXAmplitude, Databox alternatives: Google Analytics, Luzmo, Mixpanel
MiniMax M2.5Amplitude, Mixpanel alternatives: Domo
GPT-6 LunaChartMogul alternatives: Grid, Maxio Metrics
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
ProfitWell Metrics leads by five points.
ProfitWell Metrics21%#2 of 15Baremetrics16%#3 of 15Mid-marketThe figures above
ProfitWell Metrics leads by nine points.
ProfitWell Metrics13%#2 of 14Baremetrics4%#4 of 14Enterprise
Level: the same share of first choices.
ProfitWell Metrics0%#13 of 13Baremetrics0%#12 of 13What the models said about ProfitWell Metrics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“ProfitWell Metrics (by Paddle) — *Avoid if you need reliability*” DeepSeek V4 Flash · negative prompt · hard negative
“be aware of the upsell pushes and evaluate whether an MoR architecture fits your long-term business strategy before committing” Gemini 3.5 Flash · negative prompt · soft negative
“Cautions: branding drift, redirection to Paddle, and slower feature advancement vs pure-play subscription analytics vendors.” Muse Glimmer 30B · negative prompt · soft negative
“In practice ProfitWell Metrics is the cheapest "best" for pure MRR/churn/LTV dashboards: no subscription cost at any scale.” Muse Glimmer 30B · budget prompt · first choice
“The Best for "Pure" SaaS Financial Metrics: ProfitWell (by Paddle) ... this is the industry standard.” Qwen 3.7 Flash · direct prompt · first choice
“ProfitWell Metrics by Paddle is a zero-budget entry point that is free rather than trial-limited” Claude Haiku 4.5 · budget prompt · first choice
What the models said about Baremetrics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Baremetrics has received similar warnings, particularly regarding: Reliability for subscription-revenue metrics at basic tiers” MiniMax M2.5 · negative prompt · soft negative
“be cautious about using Baremetrics / ProfitWell if you have multi-currency, multi-billing, or complex enterprise contracts” Muse Glimmer 30B · negative prompt · soft negative
“Baremetrics for complex billing without validation... paying for Baremetrics may offer limited incremental value” Perplexity Sonar · negative prompt · soft negative
“Baremetrics is the one most often positioned for a mid-market team that bills across several processors and app stores” Muse Glimmer 30B · direct prompt · first choice
“The industry standard for ease of use. It integrates tightly with Stripe and focuses on automated calculations.” Qwen 3.7 Flash · comparative prompt · first choice
“Choose Baremetrics for the quickest path from Stripe data to usable revenue dashboards.” Perplexity Sonar · comparative prompt · first choice
Also compared
ChartMogul vs ProfitWell MetricsChartMogul vs BaremetricsProfitWell Metrics vs DataboxProfitWell Metrics vs Maxio MetricsProfitWell Metrics vs AmplitudeProfitWell Metrics vs MixpanelProfitWell Metrics vs PostHogDatabox vs BaremetricsBaremetrics vs Maxio MetricsBaremetrics vs AmplitudeBaremetrics vs MixpanelBaremetrics vs PostHogAll twenty-eight head-to-head pages and the full saas metrics standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.