Cometly
Marketing attribution and analytics for SaaS companies. Use AI to chat with your ads data.
Overview
aggregated · trustmrr + sourced researchFinancials
payment-provider verified · dailyFunding & investors
sourced researchTraffic & SEO
not yet sourcedDomain rating, organic keywords, backlinks and channel mix light up once a traffic provider is wired in.
Pricing & monetization
sourced researchCompetitive landscape
not yet sourcedA category model places Cometly against its peers on pricing, take-rate and estimated ARR.
Social & community footprint
company-owned accountsCompany-owned accounts only. We deliberately omit any named individuals.
The TeardownHQ playbook
premium · editorialHow Cometly Turned the iOS 14.5 Attribution Panic Into a $9M Gross Revenue Attribution Platform
A timing-arbitrage launch, one borrowed audience, and three deliberate repricings: the anatomy of a bootstrapped attribution SaaS
- 01Executive Summary
- 02Part 1: The Product
- 03Part 2: The Founder
- 04Part 3: Market & Strategy
- 05Part 4: Growth & Financials
- 06Part 5: The Replicable Playbook
- 07Sources
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Executive Summary
Cometly is a case study in event-driven timing arbitrage. The company built a tracking product for one specific, panicking buyer, the Facebook media buyer staring down Apple's App Tracking Transparency rollout, and launched it through one borrowed audience days before the panic peaked [19, 20]. Apple shipped iOS 14.5 on April 26, 2021 [40]. Cometly's Stripe account recorded 118 charges and $102,760 in gross volume on April 21, 2021, five days earlier, after a single co-marketing webinar with a niche affiliate [49, 50]. The mechanism was not product-led growth, not SEO, not Product Hunt. It was urgency multiplied by borrowed trust: a "founding user" offer, presented live to an audience that already believed the messenger, expiring in one week [20].
The second half of the story matters more for operators. The panic faded, and Cometly's gross charge volume stalled near $2.0M per year from 2023 through 2024 [49, 50]. The company's answer was not more launches. It repriced and repositioned twice: from Facebook-only tracking [19], to multi-platform attribution for performance marketers, to a demo-only, sessions-priced attribution platform "built for B2B SaaS" with server-side tracking, conversion API enrichment, and AI analysis [1, 2, 14]. Average charge size in local payment data rose from roughly $190 in mid-2022 to roughly $986 in the trailing 30 days, a 5.2x increase, while monthly charge counts fell by two thirds from the 2022 peak [49, 50]. Same product category, very different business underneath.
The lesson this teardown defends: a panic launch buys you a customer base and cash, but it does not buy you a durable company. Cometly converted a one-week timing window into five years of revenue by raising prices into its retained base and repeatedly moving toward buyers with bigger budgets.
| Thesis component | Evidence | Confidence | Operator implication |
|---|---|---|---|
| Wedge: restore ad attribution that Apple's ATT broke | Archived 2021 homepage sells "Tracking & Attribution For Facebook Advertisers" without "rely solely on your Facebook pixel" [19]; ATT cut Meta conversion visibility an estimated 30 to 40% [41] | Verified (archive) + third-party estimate | Build the fix for a scheduled platform breakage before it lands |
| Distribution: one affiliate webinar, founding-user offer | Affiliate platform case study: $147.5k cash day one, $53.8k MRR week one [20]; local TrustMRR data shows 118 charges, $102,760 on 2021-04-21 [49, 50] | Third-party (vendor case study) + local TrustMRR data | One trusted channel with urgency beats ten cold channels |
| Survival: reprice upward into retained base | Local TrustMRR data: average charge size rose from ~$190 (mid-2022) to ~$986 (trailing 30 days); charge count fell from ~580/mo at the 2022 peak to ~200/mo [49, 50] | Local TrustMRR data | When category urgency fades, raise ACV; do not chase volume |
| Repositioning: media buyers, then DTC, then B2B SaaS | Archived 2021 site (Facebook-only) [19] vs current site ("Built for B2B SaaS", Stripe-native metrics, demo-only pricing) [1, 2, 14] | Verified (archive + current site) | Follow the budget: resell the same data plumbing to richer buyers |
| Moat: integration breadth + CAPI feedback loop | 71 integrations across 12 categories [4]; server-side conversion sync to 8 named ad network destinations [5, 53]; claimed 9.3/10 Meta match quality [5] | Self-reported | Attribution tools defend with switching costs in plumbing, not models |
Confidence labels used throughout: verified (primary or archived source), self-reported (company marketing), third-party estimate, local TrustMRR data (gross Stripe charge history, not audited MRR), and inference.
6 more sections: the full teardown, sourced and dated.
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