# Cometly vs Rockerbox (2026) · Campaign Buyer > Source: https://campaignbuyer.com/compare/cometly-vs-rockerbox A B2B SaaS attribution tool against an enterprise measurement platform ## Cometly vs Rockerbox By [Dana Rourke](/authors/dana-rourke), Lead reviewer. Reviewed by [Campaign Buyer Editorial](/authors/editorial). Updated 25 September 2026\. **Disclosure:**We may earn a commission when you buy through links on this page. It never affects our rankings. ### Quick answer Pick Cometly if you run a B2B SaaS company and need to tie paid ad spend to Stripe revenue and CRM pipeline, from first click to closed-won, and feed those conversions back to your ad platforms; pick Rockerbox if you are a mid-market or enterprise brand spending across many channels, including offline like connected TV, direct mail and podcasts, and you have a data owner to run a modeled measurement platform. Cometly is the attribution layer for a SaaS funnel that ends in a CRM. Rockerbox is the enterprise platform that models where a large, mixed budget actually worked. Neither replaces the other, and most people down to these two only need one. Cometly, from a custom quote. Rockerbox, from a custom quote. ### Side by side | | Cometly | Rockerbox | | ------------------ | -------------------- | ---------------------- | | What it is | B2B SaaS attribution | Unified measurement | | Built for | B2B SaaS teams | Mid-market, enterprise | | Ties spend to | Stripe, CRM revenue | Whole media mix | | Offline channels | No | TV, mail, podcasts | | Feeds ad platforms | Yes, 7 via CAPI | No, models only | | Setup | Guided onboarding | 6-8 week build | | Free trial | No, demo only | No, demo only | | Pricing | Custom quote | Custom quote | | Outside proof | 4.8 G2, small | Established | If you are down to Cometly and Rockerbox, you are not choosing between a tracker and a spreadsheet. You are choosing between two attribution platforms that do genuinely similar work: both connect ad spend to revenue rather than to platform-reported conversions, and both are built for companies spending enough that a few points of attribution accuracy move real budget. They split on who they were built for. Cometly is marketing attribution for a B2B SaaS company whose sale ends in a CRM. Rockerbox is enterprise measurement for a brand whose budget is spread across many channels, including offline ones. The question is not which measures better. It is which business you run, and what you are tying spend to. ### The one question that decides it Answer this before you compare a single feature: what does your sale look like, and where does the revenue land? If you are a B2B SaaS company and a paid click turns into a trial, then a pipeline deal, then closed-won revenue in HubSpot or Salesforce weeks later, Cometly is built to follow that whole path and Rockerbox is not. If a real share of your budget goes to offline and upper-funnel channels like connected TV, linear TV, direct mail and podcasts, and you need all of it reconciled next to your digital spend, Rockerbox is built for that and Cometly cannot see it. The second half of the question matters as much as the first. Both platforms produce attribution, not logged fact, and attribution nobody acts on is an expensive dashboard. Cometly is only as accurate as your UTMs and your CRM hygiene, and it sells a paid onboarding because the setup is the hard part. Rockerbox needs a data owner and a six to eight week build. Neither is a switch-on tool. If you do not have someone whose job is to read the output and move budget on it, that is a reason to wait, not a reason to pick one over the other. ### Cometly: attribution built for B2B SaaS Cometly is the platform a B2B SaaS team reaches for when Meta and Google are grading their own homework and the CRM cannot see which campaign produced a paying customer. Its Comet Pixel and server-side events catch leads and sales on both the client and the server, then tie them to Stripe revenue and to deal stages in HubSpot, Salesforce, Close or HighLevel. The full pre- and post-form touch history is written onto each deal, so you can see which campaign started a journey that closed weeks later, with MRR and LTV attached. That is the part a CRM's own tracking usually cannot stitch together across a long sale. It does not stop at reporting. Cometly sends deal-stage-aware conversions back to seven ad platforms, Meta, Google, LinkedIn, TikTok, Microsoft, Reddit and Snapchat, through their conversion APIs, so the bidding optimizes toward customers who actually pay rather than raw form fills. Its outside record is strong but small: 4.8 out of five from 36 reviews on G2, with praise clustering on attribution accuracy and fast, human support, and one reviewer reporting accurate tracking on over $100,000 a month in ad spend. The honest limits are the price and the proof. There is no public pricing and no free trial, so you commit before you see it run on your own traffic, Trustpilot sits at a thinner 3.6, and a couple of reviewers name documentation that lags the app. Make the live demo prove the tracking on your real numbers, because that is the only proof you get up front. ### Rockerbox: measurement across the whole mix Rockerbox answers a broader question than Cometly, for a bigger company. It runs multi-touch attribution, marketing mix modeling and incrementality testing on one first-party data foundation, so you cross-check three readings instead of trusting one. Its real edge is breadth, including offline: connected TV, linear TV, direct mail, podcasts, influencers and billboards, reconciled next to your paid social and search. It exports its cleaned dataset to your own warehouse in BigQuery, Redshift or Snowflake, it holds SOC2 certification, and since March 2025 it has the backing of a public parent in DoubleVerify, which bought it for around $82 million. This is an established platform, not a young product. The cost of that breadth is friction. There is no public pricing and no self-serve: you book a demo and get a custom quote scoped to your channels and the modules you enable, sized for mid-market and enterprise budgets, so you cannot even price it before a sales call. Setup is heavy, roughly six to eight weeks for MTA or MMM, and it needs developer time plus Rockerbox's own team. Reviewers report reporting bugs, especially on view-through channels like TikTok and YouTube where the platforms share less data. And its output is a model that someone has to read as directional rather than exact. For a brand with the mix and the team it is built for, none of that is a dealbreaker. For a SaaS company that just needs its CRM pipeline attributed and fed back to the ad accounts, all of it is more platform than the job requires. ### Closed-won versus the whole mix Strip away the marketing and three differences decide this. The first is where revenue is defined. Cometly's unit of truth is a deal in your CRM and a charge in Stripe, so it shines when the sale is a considered, multi-week B2B purchase. Rockerbox's unit is a channel's modeled contribution to total revenue, so it shines when spend is spread across many channels you cannot observe click by click. The second is offline. Cometly is digital-first and does not measure television, mail or podcasts; Rockerbox reconciles them into one model, so if offline is a real line in your budget, only one of these two sees it. The third is the feedback loop. Cometly pushes deal-stage conversions back into the ad platforms so bidding improves; Rockerbox measures and models, but does not feed the ad accounts. What they share is that both are attribution rather than logged fact, both are only worth the money if someone owns them, and both make you talk to sales before you see a number. If your business is B2B SaaS, the overlap is thin and Cometly is the one built for you. If your business is a mid-market brand with an offline mix, the overlap is thin the other way and Rockerbox is the one built for you. The genuine tie happens in a narrow middle: a larger digital-first company big enough for Rockerbox's price but whose sale still runs through a CRM, where you weigh CRM-native attribution against a broader modeled view. ### Pricing: two quotes, neither published Neither tool shows you a price, which is unusual for a head-to-head and worth naming plainly. Cometly prices on your monthly pageviews and quotes on a sales call, with two plans, Core and Enterprise, that carry no public numbers. Some buyers report the quote feels high, and there is no free trial to test the fit first. Rockerbox publishes nothing either: you request a demo and receive a custom contract scoped to your channels, your data volume and the modules you enable, pitched at mid-market and enterprise budgets. So you cannot line these two up on a sticker price, because both are quotes you only see after a sales process. The tie-breaker on cost is scale: Cometly is sized to a SaaS company's pageviews and Rockerbox to an enterprise media budget, so the honest way to compare them is on your own situation, not on an entry number neither one prints. Verify both against the vendors before you sign, because pricing in this category moves. ### What neither tool builds Both of these platforms tell you what your spend produced. Neither builds the funnel that spend runs through. Cometly attributes and Rockerbox models; the pages, the checkout and the offers are a separate job on a separate bill. [ElasticFunnels](/reviews/elasticfunnels) is a funnel platform for teams running paid traffic that covers that part: it builds and hosts the pages, splits variants under one URL so the ad platforms keep their learning, hosts the checkout with order bumps and one-click upsells, and keeps sessions, orders, rebills and refunds on one timeline with ad-spend and conversion reporting and affiliate postbacks attached. Its reporting layer is lighter than Cometly's CRM-native, closed-won attribution, and it does not run marketing mix modeling or incrementality across offline channels the way Rockerbox does, so it replaces neither for that job. It fits a paid-traffic team that wants the funnel and its own spend-to-sale reporting in one place, and it runs a 14-day trial with no card. The honest limit is that it is newer than both tools on this page, and there is very little independent third-party review coverage to check its claims against, which is what you would expect of a platform this new, so until you run real volume through it you are largely taking the vendor's word for how the reporting holds up. Keep it out of your Cometly-versus-Rockerbox decision rather than letting it sway one. ### Which one for you **You run a B2B SaaS company tying ad spend to CRM revenue:** Cometly. The CRM-native touch history, the Stripe and pipeline attribution and the conversion feed back to seven ad platforms are exactly what a SaaS buyer is paying for, and Rockerbox's offline coverage is capability you would pay for and not use. Make the demo prove the tracking on your own deals before you sign, because there is no trial to fall back on. **Your mix includes offline and you have a data team:** Rockerbox. Reconciling connected TV, direct mail and podcasts next to digital, cross-checked three ways and piped into your own warehouse, is a job Cometly cannot do. Budget for the quote and the six to eight week build, and name the data owner before the first demo. **You are earlier than either, on Meta and Google with no data person:** neither, yet. Both are quote-gated, both skip the free trial, and both assume someone will act on the output. A lighter, cheaper attribution tool will serve you until your spend and your team grow into a platform at this level. Revisit these two when a point of accuracy is worth thousands in reallocated budget. Cometly takes our default pick because far more of this site's readers run paid traffic to their own business and need spend tied to the revenue that actually arrived than are enterprise brands with the offline mix and data team that justify Rockerbox. That is a statement about who is reading, not about which platform is built better. For a brand with real offline spend and a data owner, Rockerbox is plainly the better fit, and Cometly is not in the running. ### Cometly ##### What works * It ties ad spend to money that actually arrived, not to platform-reported conversions. The Comet Pixel and server-side events feed Stripe revenue and CRM deal stages into the attribution, so you see which campaign produced pipeline and closed-won revenue, with MRR and LTV attached, instead of trusting Meta to grade its own homework. * Server-side Conversion API to seven ad platforms, on both plans. It sends deal-stage-aware events to Meta, Google, LinkedIn, TikTok, Microsoft, Reddit and Snapchat, so the bidding optimizes toward paying customers rather than raw form fills. The vendor claims Meta event match quality up to 9.3 out of 10. * Multi-touch models built for long B2B journeys. First, last, linear, U-shaped and data-driven attribution, with the full pre- and post-form touch history written onto each deal in HubSpot or Salesforce, which is the part a CRM's own tracking usually cannot see across a weeks-long sale. * A strong, consistent G2 record. 4.8 out of 5 from 36 reviews, 34 of them five-star, with praise clustering on attribution accuracy, custom-event tracking and fast, human support. One reviewer reported accurate tracking on over $100,000 a month in ad spend. * 70-plus native integrations and done-for-you onboarding. Stripe, HubSpot, Salesforce, Close, HighLevel and the major ad platforms connect in minutes, and a specialist wires your stack up, which matters because attribution is only ever as good as its setup. ##### What to watch * No public pricing. The two plans, Core and Enterprise, carry no numbers; pricing is usage-based on your monthly pageviews and quoted on a sales call. You cannot line its cost up against a competitor before you talk to sales, and some buyers report the quote feels high, one G2 review titled bluntly "Not worth of it's price." * No free trial. Cometly does not offer one, arguing that attribution needs your CRM and ad platforms wired up first, and sells a paid onboarding instead. So you commit, or at least pay to get set up, before you see it run on your own traffic. Make the live demo show your real numbers, because that is the only proof you get up front. * Thin proof outside G2\. Trustpilot sits at 3.6 from 92 reviews and flags that only a handful are recent and the sample may not be representative, and there is no clear Capterra listing. The G2 record is good but small, so the trial you cannot take is exactly the due diligence you would most want. * It is attribution, so it is directional, not truth. Like every tool in the category, its models will not perfectly match Meta, Google, GA4 and your bank at once, and it is only as accurate as your UTMs and CRM hygiene. Treat its numbers as a better basis for decisions, not a precise ledger. * Some rough edges reviewers name. A couple report documentation that lags the actual app, one flags pricing changing after they signed, and a Trustpilot reviewer found it "just another tool with a bunch of complicated options." None is disqualifying, but budget setup time and expect to lean on support early. ### Rockerbox ##### What works * Runs multi-touch attribution, marketing mix modeling and incrementality testing on one data foundation, so you cross-check three methods instead of trusting a single number * Measures the offline and view-through channels most tools ignore: connected TV, linear TV, direct mail, podcasts and billboards, reconciled next to digital * Exports its cleaned first-party dataset to your own warehouse (BigQuery, Redshift, Snowflake), so the numbers feed your BI stack rather than locking you into its dashboards * SOC2-certified data foundation, and since March 2025 the backing of a public parent in DoubleVerify ##### What to watch * No public pricing and no self-serve. You book a demo and get a custom quote pitched at mid-market and enterprise budgets, so a small store cannot price it before a sales call * Setup is heavy: MTA or MMM take about six to eight weeks and need developer time plus Rockerbox's own team, and it becomes shelfware without a data owner to run it * Reviewers report reporting bugs and dashboards that break, especially on view-through channels like TikTok and YouTube where platforms share less data * The output is still a model, not the truth. Even paired with incrementality it needs someone who can read directional numbers rather than treat them as exact ### Pricing Cometly: from a custom quote. Usage-based, quote-only. Two plans, Core and Enterprise, both priced on your monthly pageviews (estimated at \~1.5x sessions), quoted on a sales call. No numeric pricing is published. Monthly or annual billing; annual saves 20%. No free trial; paid Professional Onboarding instead. One buyer publicly reported a $600/mo quote. Rockerbox: from a custom quote. Rockerbox does not publish pricing. It is sold through a demo and quoted per company based on your channel mix and measurement needs, and is pitched at mid-market and enterprise budgets. You choose which products you take (Data Foundation, MTA, MMM, Testing). Implementation runs about 1 to 2 weeks for testing and 6 to 8 weeks for MTA or MMM, depending on data readiness. Pricing verified against each vendor on 2026-09-23\. Check before you buy. Our pick ### Cometly Cometly is real. It is a working B2B SaaS marketing attribution platform with named customers and a strong 4.8 G2 record, built to tie paid ad spend to Stripe revenue and CRM pipeline, from first click to closed-won. You are unlikely to regret it if that is your job and you make the live demo prove the tracking on your own data first. The two real caveats are that it publishes no price and offers no free trial, so you commit before you see it work. Trust the demo, not the review scores. ### Frequently asked questions Cometly or Rockerbox: which should I use? Pick Cometly if you run a B2B SaaS company and need to tie paid ad spend to Stripe revenue and CRM pipeline, from first click to closed-won, and feed those conversions back to your ad platforms; pick Rockerbox if you are a mid-market or enterprise brand spending across many channels, including offline like connected TV, direct mail and podcasts, and you have a data owner to run a modeled measurement platform. Cometly is the attribution layer for a SaaS funnel that ends in a CRM. Rockerbox is the enterprise platform that models where a large, mixed budget actually worked. Neither replaces the other, and most people down to these two only need one. Which is cheaper, Cometly or Rockerbox? Cometly starts at a custom quote and Rockerbox at a custom quote. Neither publishes a price. Cometly meters on your monthly pageviews and quotes on a sales call; Rockerbox scopes an enterprise contract to your channels and the modules you enable. Neither offers a free trial, so make the demo prove the tracking on your own data before you sign, and price each on your own situation rather than a sticker number neither one prints. Do Cometly and Rockerbox do the same thing? Both connect ad spend to revenue rather than to platform-reported conversions, which is why this is a real choice, but they were built for different companies. Cometly is B2B SaaS attribution: it ties spend to Stripe revenue and CRM pipeline and follows a click all the way to closed-won. Rockerbox is enterprise measurement: it models how every channel, including offline ones, contributed to total revenue. One follows a deal through a CRM; the other estimates a whole media mix. Can Cometly measure offline channels like TV and direct mail? No. Cometly is digital-first and tracks conversions on your site and in your CRM. Reconciling connected TV, linear TV, direct mail, podcasts and billboards next to your digital spend is exactly what Rockerbox is built for, and Cometly cannot do it at any price. If offline is a real line in your budget, that alone points you at Rockerbox. Which fits a B2B SaaS company tying ad spend to closed-won revenue? Cometly. It writes the full pre- and post-form touch history onto each deal in HubSpot or Salesforce, ties it to Stripe revenue with MRR and LTV attached, and feeds deal-stage conversions back to seven ad platforms so the bidding optimizes toward paying customers. Rockerbox is a broad measurement platform, not a CRM-native attribution tool, so it is not built to sit inside that sale. Do either offer a free trial? Neither. Both are demo-gated with no public price, so you commit, or at least pay to get set up, before you see either run on your own traffic. That makes the live demo the only due diligence you get up front, so make it prove the tracking on your real numbers, not on a canned dataset. ### Sources #### Other sources 8 discussions and reviews read for this page. Quotes are excerpts; open a link to read the original in context. 1. \[reddit-ppc-meta-attribution\] [https://www.reddit.com/r/PPC/comments/180xl40/is\_meta\_ad\_attribution\_really\_that\_bad/ ](https://www.reddit.com/r/PPC/comments/180xl40/is%5Fmeta%5Fad%5Fattribution%5Freally%5Fthat%5Fbad/) Reddit, 1 Jan 2023 2. \[reddit-ecommerce-influencer\] [https://www.reddit.com/r/ecommerce/comments/1pc4ujo/influencer\_marketing\_attribution\_is\_still\_broken/ ](https://www.reddit.com/r/ecommerce/comments/1pc4ujo/influencer%5Fmarketing%5Fattribution%5Fis%5Fstill%5Fbroken/) Reddit 3. \[reddit-marketingautomation-stripe\] [https://www.reddit.com/r/MarketingAutomation/comments/1tkc8nc/the\_attribution\_weekly\_what\_happened\_in\_paid/ ](https://www.reddit.com/r/MarketingAutomation/comments/1tkc8nc/the%5Fattribution%5Fweekly%5Fwhat%5Fhappened%5Fin%5Fpaid/) Reddit 4. \[reddit-ppc-directional\] [https://www.reddit.com/r/PPC/comments/1udfaqg/what\_attribution\_software\_you\_use/ ](https://www.reddit.com/r/PPC/comments/1udfaqg/what%5Fattribution%5Fsoftware%5Fyou%5Fuse/) Reddit 5. \[trustpilot-issa\] [https://www.trustpilot.com/review/cometly.com ](https://www.trustpilot.com/review/cometly.com) Trustpilot, 19 Jul 2026 6. \[g2-not-worth-price\] [https://www.g2.com/products/cometly/reviews/cometly-review-11403551 ](https://www.g2.com/products/cometly/reviews/cometly-review-11403551) G2, 16 Jul 2025 7. \[g2-pricing-changes\] [https://www.g2.com/products/cometly/reviews/cometly-review-13171464 ](https://www.g2.com/products/cometly/reviews/cometly-review-13171464) G2, 3 Aug 2026 8. \[g2-sellers\] [https://www.g2.com/sellers/cometly ](https://www.g2.com/sellers/cometly) G2 [Cometly review](/reviews/cometly) [Rockerbox review](/reviews/rockerbox) [Best ad tracker ranking](/best) [All head-to-heads](/compare) Written by Dana Rourke Lead reviewer Dana Rourke is the lead reviewer at Campaign Buyer. She owns the tracker and attribution coverage: reading what long-term users report about each tool, checking its documentation and pricing, and verifying prices with the vendor before writing the verdict. Keeping the rankings honest mostly means writing down what the top pick gets wrong, so she does that first. [danar@campaignbuyer.com](mailto:danar@campaignbuyer.com) Last checked 2026-09-25 --- [ Campaign Buyer ](/) Independent reviews of the trackers, page builders, attribution tools and ad-spy software media buyers pay for. Every pick names what it is bad at. [contact@campaignbuyer.com](mailto:contact@campaignbuyer.com) We may earn a commission when you buy through links on this page. It never affects our rankings. © 2026 Campaign Buyer. Independent and reader-supported.