Cometly vs Measured

Same distrust, two different answers

If you are down to exactly these two, start by noticing that they are not two versions of one product. Both begin from the same complaint, that the conversions and ROAS your ad platforms report cannot be trusted once iOS, ad blockers and cross-device journeys break the pixel and every channel claims the same sale. Where they split is what they do about it. Cometly rebuilds the conversion signal inside your funnel, ties it to real revenue in Stripe and your CRM, and hands it straight back to the ad platforms so the auctions bid on paying customers. Measured ignores the per-conversion number entirely and runs experiments to find out which spend actually caused the sales. One feeds the machine that buys your traffic; the other tells a boardroom where the budget should go.

What Cometly is built to do

Cometly is a marketing attribution platform, and in 2026 it is built for B2B SaaS. Its native Stripe sync ties trials, new customers, recurring revenue and lifetime value back to the ad, audience and creative that drove them, and HubSpot and Salesforce lifecycle stages map onto the same touchpoints, all the way to closed-won ARR. Under that sits modern plumbing: a cookieless pixel with cross-device identity, 70-plus native integrations, and an Agent you query in plain English. The part that matters most here is the server-side Conversion API. Cometly sends deduplicated, revenue-verified conversions to Meta, Google, LinkedIn and TikTok, and reports Meta event match quality far above a hand-rolled setup, so the platforms learn from actual paying customers rather than raw form fills. That is a signal you act on inside the ad account, and it is why Cometly fits a growing subscription business.

What Measured is built to do

Measured is a media-effectiveness platform for mid-market and enterprise brands, and it answers a harder question than any attribution tool: across Meta, Google, TikTok, connected TV, audio, affiliates, email and offline, which channels are actually causing sales and which are taking credit for sales that would have happened anyway. It does that with causal geo holdout experiments, feeds the results into a test-calibrated media mix model, then turns the model into channel-allocation guidance through its Media Plan Optimizer. Because it measures lift rather than touchpoints, it can value channels that leave no useful click path at all: linear and connected TV, audio, offline, upper-funnel. The implementation is serviced, so a brand gets methodological help with experiment design, market selection and getting stakeholders to trust the read. It does not sit in your funnel and it does not push a conversion back to claim credit.

The line that actually separates them

This is where they stop being comparable. Cometly is per-customer and it feeds the auction: it follows a real touch to a real Stripe sale, values it at revenue and ARR, and posts that conversion back to the platform that served the ad. Its weaknesses are a different kind. It has moved to B2B SaaS and away from the ecommerce market it once served, reviewers report weaker matching on cash-on-delivery and email-less orders, it publishes no price and runs no trial, and a small but consistent run of buyers on r/FacebookAds report slow support and trouble capturing purchases fast enough. Measured does not have a per-order problem because it never claims a per-order number. Its output is modeled and experimental, a causal estimate of lift with confidence around it, which is exactly what proves that spend on a channel with no click path is working. The flip side is that it will never reconcile to Meta, GA4 or Shopify, and it cannot be pushed into an auction at all. So Cometly gives you a revenue-true signal you optimize on today; Measured gives you a slower, defensible answer that settles next quarter's plan.

Where your business model settles it

The fit question is really a business-model question. If your conversions are subscription revenue that lives in Stripe and a CRM, and you want to both see which ads make paying customers and hand that signal back to the auctions, Cometly is the tool built for exactly that, and it is the stronger everyday choice for most teams weighing these two. Its ranking on our roundup, above Measured, reflects the same thing: it does an actionable job for a wider set of readers. Measured's barrier sits at the other end. Independent coverage flags a high minimum spend, and a smaller advertiser may not have the spend, conversion volume or geographic spread for holdout tests to read cleanly. But once the mix includes connected TV, audio and offline, and the budget in question is the media plan itself rather than any one campaign, Measured's method is the one that holds up in a boardroom, and no attribution feed can replace it. Rank and fit agree: Cometly for the reader choosing between the two, Measured for the larger, multi-channel, causal-first mandate.

When neither is the shape of your problem

Both tools here are about the numbers. Cometly ties the sale to the ad and feeds the signal back; Measured proves which channels cause the sales. Neither builds the page the traffic lands on or hosts the checkout that takes the money, and if the offer runs on a video sales letter, neither sees inside it. Two tools worth knowing sit on that side of the line.

ElasticFunnels is a funnel platform for teams running paid traffic: it builds the pages, hosts the checkout with order bumps, one-click upsells, subscriptions and multi-MID routing, and keeps the click, the order, the rebill and the refund on one data layer with a CRM and attribution. Its lead feature is same-URL split testing: variants rotate server-side under one campaign link, so Meta, Google and TikTok keep their learning and a test never resets the ad's optimization by sending traffic to a new address. It starts at $97 a month with a 14-day trial that takes no card, every feature is on every plan, and plans differ by traffic. The honest caveat is that it is newer than the attribution and measurement tools here and there is very little independent third-party review coverage yet, which is what you would expect of a platform this recent, so until you run real volume through it you are largely weighing the vendor's own account rather than a stack of outside reports.

TrackPlay matters if the offer runs on a video sales letter, which both a revenue-attribution tool and a media mix model are blind to inside the video. It is a VSL player and analytics platform that ties every second watched to who actually bought, draws retention per second split into buyers and non-buyers, and posts the cart-verified sale back to Meta, TikTok and GA4 on the play that earned it. It has a no-card free tier of 1,000 plays a month and paid plans from $29 a month. It is narrow by design, though: built for paid-traffic VSL conversion, it is not a general video host or a B2B content library and has none of the channels or webinar tooling of a Wistia, so it is the wrong tool if the video's job is content marketing rather than a direct-response sale.