Polar Analytics 🐺‍❄️

Founded in 2021 by David Dokes and Charbel Seif, Polar Analytics is a multichannel analytics platform for ecommerce and direct-to-consumer brands. It connects to 45-plus data sources with one-click integrations and pulls them into a single dashboard sitting on a managed data warehouse. Instead of eight logins and four definitions of "revenue," a brand gets one place where CAC, ROAS, MER, LTV and profitability all agree.

The founders came to the problem with scars. Dokes, now CEO, ran growth at the car-sharing company Turo, where he managed a $20 million annual marketing budget and felt the pain of measurement firsthand. Seif, now CTO, was a data scientist at Airbnb before leaving to build the tool he wished merchants had. Their shared thesis is unglamorous and durable: the data infrastructure Amazon takes for granted should be available to a twenty-person brand, one click at a time.

That bet has scaled. Polar now serves more than 4,000 brands across 45 countries - names like The Frankie Shop, Doen, Allbirds Korea, Volcom, Sporty & Rich and RIPNDIP - and averages roughly ten users per account. The last number matters more than it looks: it means marketers, founders and buyers are all looking at the same figures, not just an analyst in a corner.

Polar's customers are ecommerce and DTC brands and the agencies that manage them, overwhelmingly inside the Shopify ecosystem. They tend to be past the scrappy first year and into the messy middle - spending real money across several ad channels, running email and SMS, and suddenly unable to say with confidence which of it works.

The problem Polar attacks is fragmentation. Data lives in a dozen tools that each define success differently, so decisions get made on gut or on whichever dashboard someone happened to open. Layer on the collapse of third-party cookies, and even the ad-platform numbers brands used to trust have gone soft. The result is expensive guessing.

Polar's answer is to own the data layer end to end: collect first-party signals the brand actually controls, standardize the metrics so everyone argues about strategy instead of definitions, and then close the loop by sending insights back into the tools where work happens. The pitch isn't "another dashboard" - it's a single source of truth that also does something.

Pricing follows that value. Plans scale with a brand's online GMV, starting around $750 a month with annual discounts, and include unlimited users, full historical data and multi-store, multi-brand reporting - so growing brands and agencies aren't taxed per seat for spreading the data around.