SaaS metrics and analytics · November 2026 Edition
ChartMogul vs ProfitWell Metrics
Six of fourteen models named ChartMogul first on the direct prompt; one named ProfitWell Metrics. Both were named by all fourteen models and ChartMogul carries 69 labels and ProfitWell Metrics 46, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share43%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%28%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 14; printed, not drawn.
Labels6946A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ChartMogul reading right to left. Rank and label count are printed, not drawn.Databox was named alongside these two in eight of the fourteen direct answers. ChartMogul vs Databox · ChartMogul vs Baremetrics · ChartMogul vs Maxio Metrics
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.
ChartMogulFirst choices, of fourteen modelsProfitWell Metrics
Direct611 against ChartMogul
Paraphrase1102 against ProfitWell Metrics
Comparative602 against ProfitWell Metrics
Budget-constrained561 against ChartMogul · 1 against ProfitWell Metrics
Scale-constrained10
Negative307 against ChartMogul · 8 against ProfitWell Metrics
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, ChartMogul and ProfitWell Metrics were named in the same answer 116 times, of the 196 answers naming ChartMogul and the 121 naming ProfitWell Metrics. In those answers ProfitWell Metrics took the first choice twenty-one times and ChartMogul thirty-six.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where ChartMogul and ProfitWell Metrics 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 | | | | | |
ChartMogul ProfitWell Metrics first choice named as an alternative argued againstblank: not namedEach cell is one answer, ChartMogul on the left and ProfitWell Metrics on the right.The direct prompt
The plain question, one answer per model, grouped by where ChartMogul and ProfitWell Metrics stood in it.
ChartMogul first, ProfitWell Metrics an alternative
6 of 14 modelsProfitWell Metrics was named in the answer but not as the choice, or not at all.Claude Haiku 4.5ChartMogul alternatives: Baremetrics, Databox
Grok 4.20ChartMogul alternatives: Baremetrics, Metabase, ProfitWell Metrics
DeepSeek V4 FlashChartMogul alternatives: Baremetrics, Databox, ProfitWell Metrics
Llama 4 MaverickChartMogul
Kimi K2ChartMogul alternatives: Amplitude, Baremetrics, Databox, Mixpanel
GPT-6 LunaChartMogul alternatives: Grid, Maxio Metrics
ProfitWell Metrics first, ChartMogul not the choice
1 of 14 modelsChartMogul was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashProfitWell Metrics alternatives: Clari, Microsoft Power BI
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniDatabox alternatives: Baremetrics, ChartMogul, Looker, Tableau
Gemini 3.5 FlashMosaic alternatives: ChartMogul, Looker, Maxio Metrics, Metabase, Subscript
Perplexity SonarDatabox alternatives: Amplitude, ChartMogul, Maxio Metrics, Mixpanel
Muse Glimmer 30BBaremetrics alternatives: ChartMogul, Databox, ProfitWell Metrics
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Mistral SmallFairview alternatives: Databox, Intempt
GLM 4.7 FlashXAmplitude, Databox alternatives: Google Analytics, Luzmo, Mixpanel
MiniMax M2.5Amplitude, Mixpanel alternatives: Domo
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
ChartMogul leads by twenty points.
ChartMogul41%#1 of 15ProfitWell Metrics21%#2 of 15Mid-marketThe figures above
ChartMogul leads by thirty points.
ChartMogul43%#1 of 14ProfitWell Metrics13%#2 of 14Enterprise
ChartMogul leads by fifteen points.
ChartMogul15%#2 of 13ProfitWell Metrics0%#13 of 13What the models said about ChartMogul
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Basic ChartMogul - Multiple AI models recommend avoiding the basic tier if you need reliable subscription-revenue metrics” MiniMax M2.5 · negative prompt · soft negative
“Frequent data mismatches ... complex setup for non-standard billing, and inaccuracies in churn calculations” Grok 4.20 · negative prompt · soft negative
“starts around $1,188/year on the Pro plan at the low end, so it's usually not the cheapest route” GPT-5.4 mini · budget prompt · soft negative
“ChartMogul offers superior segmentation and multi-billing-provider support, making it the better choice for SaaS companies above $500K MRR” Claude Haiku 4.5 · comparative prompt · first choice
“ChartMogul is currently cited as the leader for multi-source subscription metrics and investor-grade recurring revenue reporting.” Muse Glimmer 30B · paraphrase prompt · first choice
“Low Budget / Fastest Setup: Start with Databox (for general KPIs) combined with ChartMogul (for revenue metrics).” Qwen 3.7 Flash · budget prompt · first choice
What 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
Also compared
ChartMogul vs DataboxChartMogul vs BaremetricsChartMogul vs Maxio MetricsChartMogul vs AmplitudeChartMogul vs MixpanelChartMogul vs PostHogProfitWell Metrics vs DataboxProfitWell Metrics vs BaremetricsProfitWell Metrics vs Maxio MetricsProfitWell Metrics vs AmplitudeProfitWell Metrics vs MixpanelProfitWell Metrics 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.