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Marketing attribution for B2B SaaS, $204K MRR: one data view

Cometly gives B2B SaaS teams one place to connect marketing, sales, product, and revenue data. Its $204K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.

What it actually sells

Cometly sells marketing attribution software that connects ad spend, pipeline, revenue, and ROI. Its stated audience is “AI Marketing Attribution For B2B SaaS Companies,” serving growth, marketing operations, demand generation, founder, and CMO teams.

The product joins marketing, sales, and product data in one view. It provides multi-touch attribution tied to Stripe revenue, an AI Ads Manager, revenue-ready audiences, and plain-English answers through Agent.

How it charges

Some currency amounts appear on the pages we read, but none could be tied to the product's own price, so no pricing is stated here (pages read 2026-10-01).

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

MonthRevenue (USD)
2025-10$203,024
2025-11$182,982
2025-12$194,721
2026-01$200,768
2026-02$202,189
2026-03$185,017
2026-04$213,921
2026-05$200,431
2026-06$187,833
2026-07$221,038
2026-08$202,057
2026-09$193,863

Where customers come from

The site provides a blog, Academy, guides, support, help center, documentation, and an affiliate partner program. It also promotes an agency partner program.

What stands out

Cometly reports 100+ native integrations across the revenue stack, $2B+ in ad spend tracked through the product, and 1.4M events processed in 24 hours. Its site says 10 people are building the product.

The product is designed to send enriched, attributed revenue into CRMs, warehouses, ad platforms, and AI agents. It also says its MCP server lets any AI agent query attribution data.

From the official site

AI Marketing Attribution For B2B SaaS Companies
Multi-touch attribution tied to Stripe revenue

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

Cometly's $204K MRR is higher than 100% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Analytics” category (646 projects) it is higher than 100% (category median $135). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

My view: the buyer is a B2B SaaS company that needs to connect marketing activity with sales outcomes. Demand is clearest for teams managing paid acquisition, pipeline, and revenue data across several systems. Distribution would have to come from content, integrations, agency relationships, and referrals.

My view: this needs real work. The difficult parts are reliable data connections, attribution logic, privacy and compliance, support load, and competing with established analytics and marketing platforms. A small team can build a focused version, but matching the integration surface and data trust would take sustained execution.

Verdict: Needs real work.

One thing to take from it

Cometly’s shape is a connected data product: it gathers marketing, sales, product, and revenue information, then sends enriched attribution data back into the tools teams already use.

Sources

  1. Cometly official website, fetched October 1, 2026
  2. Cometly pricing page, fetched October 1, 2026
  3. Cometly about page, fetched October 1, 2026
  4. TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure

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