# Polar Analytics vs Cometly (2026) · OfferROAS > Source: https://offerroas.com/compare/polar-analytics-vs-cometly ## Polar Analytics vs Cometly By [Marcus Flynn](/authors/marcus-flynn), tracking and attribution editor. Updated 24 September 2026. You are down to two tools that both connect your ad platforms, record conversions server-side and hand you attribution, and on that surface they look like the same purchase. They are not. Polar Analytics is a Shopify-native analytics and business-intelligence platform for direct-to-consumer brands: it pulls your store, ads and email into one set of profit dashboards on a warehouse you own. Cometly is a revenue-attribution platform now built for B2B SaaS: it ties ad spend to Stripe revenue and CRM pipeline, right through to closed-won ARR. The pick is not a feature race. It turns on one question: what business are you running, and where does your revenue live. **Disclosure:**We may earn a commission when you buy through links on this page. It never affects our rankings. Pick Polar Analytics if you run a DTC or Shopify ecommerce brand and want your whole store's profit, ads and email in one dashboard on a data warehouse you own; pick Cometly if you run a B2B SaaS business and need ad spend tied to Stripe revenue and CRM pipeline, right through to closed-won ARR. Quick answer **Polar Analytics** is our top pick for most people. The broader-fit ecommerce platform of the two: it pulls your store, ads and email into one set of profit dashboards on a dedicated Snowflake warehouse you own, at a visible entry price. Attribution is one strong feature here, not the whole product, and it is built for the DTC brand Cometly no longer serves. * **Polar Analytics.** Best for Shopify brands centralizing profit and marketing reporting. From $750/mo. * **Cometly.** Best for B2B SaaS teams tying ad spend to Stripe revenue and CRM pipeline. ### Side by side __Feature comparison across 2 tools__ | Tool | Core job | Measures | Best fit | From | | --------------- | ---------------------- | ------------------ | ------------- | ---------- | | Polar Analytics | Shopify BI + reporting | Store profit & CAC | DTC ecommerce | $750/mo | | Cometly | Revenue attribution | Stripe MRR & ARR | B2B SaaS | Not listed | ### Polar Analytics: pros and cons ##### What works * Pulls Shopify, Meta, Google, TikTok, Klaviyo and more into one dashboard with CAC, MER, LTV, cohort and contribution-margin reports out of the box, so a team stops reconciling platforms by hand. * You can build and edit any report rather than living inside fixed dashboards, and reviewers repeatedly single out fast onboarding and responsive support. * Advertising Signals sends conversion events server-side to Meta and Google Ads to lift Event Match Quality, and a first-party pixel with a Lifetime ID improves attribution where browser tracking breaks. * Every plan bundles a dedicated Snowflake warehouse, unlimited users and unlimited historical data, so it doubles as a data foundation you can query directly, not just a dashboard. ##### What to watch * Pricing is tiered by gross merchandise value and quoted after a demo. The Shopify listing shows a Core Plan from $750 a month, and a Plus operator reported a quote near $20k a year, so below serious scale the cost is hard to justify. * It is a reporting and BI layer more than a deep attribution engine: operators say it gets restrictive once you need messy custom attribution or business-specific nuance, and point to a data engineer or a heavier tool for that. * No free trial and no free tier on the paid platform. You book a demo for a GMV-based quote, and the Shopify listing gates the Polar Pixel out of any trial; the only free look is an instant demo running on sample data. * Like every cross-platform tool its numbers will not match Shopify or Meta exactly (revenue definitions, refunds, time zones, attribution windows), and clean UTMs plus the pixel are required or ad traffic falls into Direct or Unknown. ### Cometly: pros and cons ##### What works * Server-side Conversion API is the genuine strength. Cometly sends deduplicated conversions back to Meta, Google, LinkedIn and TikTok, and reports Meta event match quality up to 9.3 out of 10 where a manual setup sits at 4 to 5\. Buyers on r/FacebookAds confirm it pushed more matched data to Meta than other trackers they had run. * Revenue attribution built around Stripe and the CRM, not just clicks. The native Stripe sync ties trials, new customers, recurring revenue and LTV to the originating ad, and HubSpot and Salesforce lifecycle stages map onto the same touchpoints, right through to closed-won ARR. That is the report a SaaS finance team will actually defend. * Modern data plumbing under it. A cookieless Comet Pixel with cross-device identity, 70-plus native integrations, an Agent you query in plain English, and on Enterprise a warehouse sync to Snowflake or BigQuery plus an MCP server. The vendor puts setup at hours rather than weeks. * Established and reviewed, not a new app. Comet LLC has tracked paid spend for years, with named case studies (ClickFunnels reports a 31% ad-return lift, Trainual a 40% improvement in 90 days). ##### What to watch * It has left the DTC and ecommerce market it once served. Cometly's own site now names Triple Whale as the ecommerce tool and positions itself for B2B SaaS. Shopify still integrates, but reviewers report weaker matching on cash-on-delivery and email-less orders, so a direct-response or ecom brand should demand proof on its own orders before buying. * It is not a store profit dashboard. Cometly reports revenue attribution and pipeline; it does not hand a DTC operator blended CAC, MER, contribution margin and LTV across the whole store the way Polar does out of the box. A SaaS team measuring Stripe MRR does not need that view. * No public price and no free trial. Every plan is usage-based on monthly pageviews and quoted on a sales call, and Cometly says it does not run a trial because attribution needs setup first. Buyers who want to test against their own numbers before paying, or just want a price before a call, get neither. * Support and journey timing draw the recurring complaints. The long-running r/FacebookAds thread reports support replies measured in business days and trouble seeing the full pre-purchase journey. The sample is small, but consistent enough to test response times and event latency during onboarding. ### The real differences #### What each one actually is Polar Analytics is a Shopify-native analytics and business-intelligence platform for direct-to-consumer brands. It is not a redirect or click tracker like most of the tools on this site. It connects your store, ad platforms, email and the rest of your stack, then turns the lot into one set of dashboards: blended CAC and MER, ROAS, LTV, cohorts, retention and contribution margin, out of the box and editable. Underneath sits a dedicated Snowflake warehouse with unlimited history, so the same tool that draws the dashboard is a data foundation your team can query directly. Attribution is one strong feature of it, through the Polar Pixel and Advertising Signals, not the whole product. Cometly is a marketing-attribution platform, and in 2026 its headline job is revenue attribution for B2B SaaS. You install its Comet Pixel with one line, it captures visitors cookielessly and across devices, records the conversion server-side, and models the multi-touch journey back to the campaign, ad and creative that drove it. The part that earns its keep is where the revenue lands: a native Stripe sync ties trials, new customers, recurring revenue and LTV to the originating ad, and HubSpot and Salesforce lifecycle stages map onto the same touchpoints, through to closed-won ARR. It measures the money, not the store. #### The one thing they share, and where it splits Both tools drop a first-party pixel on pages you own and push conversions server-side back to the ad platforms to lift Meta and Google match quality. That shared surface is why they land on the same shortlist. Neither one routes traffic: they do not rotate offers, split clicks across landers by rule, or distribute traffic the way Voluum, RedTrack or Binom do. If routing is the job, both are the wrong tool. Past that surface they split on the shape of the business. Polar is built around a store: its native unit is an order, its dashboards are store profit and marketing efficiency, and its buyer is a DTC brand reconciling Shopify against Meta, Google, TikTok and Klaviyo. Cometly is built around a subscription: its native unit is Stripe revenue, its dashboards are MRR, LTV and pipeline, and its buyer is a SaaS company proving which ads produce paying, renewing customers. The pixel looks alike; the report at the end does not. #### Where Polar wins For a DTC or ecommerce operator, Polar is the fit, and Cometly has stepped out of the way. Cometly's own site now names Triple Whale as the ecommerce tool and positions itself for B2B SaaS, and reviewers report weaker matching on cash-on-delivery and email-less orders. So the comparison for a store owner is not close: Polar gives you blended CAC, MER, contribution margin, cohorts and LTV across the whole store out of the box, plus a warehouse you own and can query. It also starts from a visible price, $750 a month on its Shopify listing, where Cometly makes you book a call to see a number at all. #### Where Cometly wins If your revenue is recurring and billed through Stripe, Polar is not built for you and Cometly is. Cometly ties an ad click to a trial, to a paying customer, to renewals, and reports it as MRR and closed-won ARR, mapped onto HubSpot or Salesforce lifecycle stages. That is the report a SaaS finance team will defend in a board meeting, and Polar's store-profit dashboards do not produce it. Cometly's server-side Conversion API is also the stronger of the two on paper, reporting Meta event match quality up to 9.3 out of 10, and buyers on r/FacebookAds confirm it pushed more matched data to Meta than other trackers they had run. #### The numbers will not match, by design Whichever you pick, expect its totals to disagree with Shopify, Stripe and the ad platforms. Each applies one independent model across every channel, while Meta and Google each claim the same conversion if someone clicked in a window or merely viewed an ad. That gap is the over-attribution you are paying to see. Treat either tool as a decision layer reconciled against your backend of record, keep UTMs and the pixel installed or ad traffic falls into Direct and Unknown, and neither one earns its cost until you are spending enough that a few points of misattributed budget is real money. ### What each one costs **Polar Analytics.** Pricing is tiered by your online gross merchandise value and quoted after a demo. Its Shopify listing shows a Core Plan from $750 a month, and a Plus operator reported a quote near $20,000 a year at real scale. Every plan bundles the dedicated Snowflake warehouse, unlimited users and unlimited history. There is no free trial and no free tier on the paid platform: you book a demo for a GMV-based quote, and the only free look is an instant demo running on sample data. **Cometly.** No public price. Its two plans, Core and Enterprise, are usage-based on monthly pageviews and quoted after a demo, with annual billing about 20% cheaper than monthly and no free trial. Cometly says it does not run a trial because attribution needs setup first. So the honest comparison is that Polar at least shows an entry number, while Cometly requires a call before you see one, and neither lets you test freely against your own data before paying. Prices read from each vendor's own pricing page, current as of 24 September 2026. Our pick ### Polar Analytics The broader-fit ecommerce platform of the two: it pulls your store, ads and email into one set of profit dashboards on a dedicated Snowflake warehouse you own, at a visible entry price. Attribution is one strong feature here, not the whole product, and it is built for the DTC brand Cometly no longer serves. ### Frequently asked questions Polar Analytics or Cometly: which should I pick? Pick Polar Analytics if you run a DTC or Shopify ecommerce brand and want your whole store's profit, ads and email in one dashboard on a data warehouse you own. Pick Cometly if you run a B2B SaaS business and need ad spend tied to Stripe revenue and CRM pipeline, right through to closed-won ARR. They serve different businesses, so the answer is usually clear once you know where your revenue lives. Do Polar Analytics and Cometly even compete? On the surface, yes: both connect your ad platforms, record conversions server-side, and feed them back to Meta and Google to lift match quality. In practice they serve different operators. Polar is a Shopify-native BI and profit platform for a DTC store, measuring blended CAC, MER, LTV and contribution margin. Cometly is a revenue-attribution platform for a B2B SaaS business, measuring Stripe MRR and pipeline through to ARR. Neither one routes or rotates offers, so if that is what you need, both are the wrong tool. Is Polar Analytics or Cometly cheaper? Polar shows a visible entry price and Cometly does not. Polar's Shopify listing lists a Core Plan from $750 a month, tiered by your GMV, with a Plus operator reporting roughly $20,000 a year at scale. Cometly publishes no price at all: its Core and Enterprise plans are quoted after a demo and priced on monthly pageviews, with no free trial. So the honest comparison is that you can at least see where Polar starts, while Cometly requires a call before you see a number, and neither offers a free way to test against your own data first. Can Cometly report store profit like Polar, or Polar tie ad spend to Stripe MRR like Cometly? Not really, in either direction. Polar leads with Shopify-native store profit: blended CAC, MER, contribution margin, cohorts and LTV across the whole store, on a warehouse you own. Cometly leads with Stripe revenue attribution: trials, paying customers and renewals tied back to the ad, through to closed-won ARR. Cometly has stepped away from the ecommerce market Polar serves and names Triple Whale for ecom, and Polar is not built to report SaaS MRR and pipeline. So they are not interchangeable. Buy for where your revenue actually lives. ### Sources #### Other sources 5 discussions and reviews read for this page. Quotes are excerpts; open a link to read the original in context. 1. \[pa-home\] [Polar Analytics official site ](https://www.polaranalytics.com/) Vendor, 23 Sep 2026 2. \[pa-restrictive\] [Triple Whale vs Polar Analytics thread ](https://www.reddit.com/r/FacebookAds/comments/1deb9fo/triplewhale%5Fvs%5Fpolar%5Fanalytics/) Reddit, 1 Jun 2024 3. \[pa-gmv\] [Shopify analytics pricing thread ](https://www.reddit.com/r/shopify/comments/1fn4urj) Reddit, 1 Sep 2024 4. \[cometly-home\] [Cometly | Marketing Attribution Software ](https://www.cometly.com/) Vendor, 24 Sep 2026 5. \[cometly-stripe\] [Cometly | Marketing Attribution Software ](https://www.cometly.com/) Vendor, 24 Sep 2026 ### How we compared these We do not run paid campaigns through either tool. We read each vendor's own documentation and pricing, verify every number against the source, and weigh the long-term reports of operators who run them at real spend. The full rubric is on the [methodology page](/methodology). ### Related reading * [Polar Analytics review](/reviews/polar-analytics) * [Cometly review](/reviews/cometly) * [Northbeam vs Polar Analytics](/compare/northbeam-vs-polar-analytics) * [Polar Analytics vs Triple Whale](/compare/polar-analytics-vs-triple-whale) * [Hyros vs Cometly](/compare/hyros-vs-cometly) * [Cometly alternatives](/alternatives/cometly) * [Best ad tracking and attribution software](/best) * [All head-to-head comparisons](/compare) --- We may earn a commission when you buy through links on this page. It never affects our rankings. © 2026 OfferROAS. Independent and reader-supported.