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Side-by-side comparison

Polar Analytics vs Triple Whale

Compare Polar Analytics and Triple Whale across pricing, features, and fit for your e-commerce stack.

Polar Analytics

Polar Analytics

Shopify DTC analytics with blended ROAS and contribution margin in one view

Paid
Visit Polar Analyticsnorth_east
VS
Triple Whale

Triple Whale

The analytics OS for scaling Shopify brands

Paid
Visit Triple Whalenorth_east

Quick Comparison

Polar Analytics
Polar Analytics
Triple Whale
Triple Whale
PricingPaid
Paid
Founded2021
2021
Company size11-50
51-200
Verifiedverified
verified

About

Polar Analytics

Polar Analytics was built specifically for Shopify DTC brands that run paid traffic and need to see blended ROAS, contribution margin, and ad spend in a single, accurate view. It pulls data from Shopify, Facebook Ads, Google Ads, TikTok Ads, and email platforms and normalises attribution into one dashboard without the configuration overhead of a custom data warehouse setup. The focus on contribution margin reporting is particularly valuable for brands where product margins vary significantly across SKUs and ad channels, because blended revenue numbers alone can mask an unprofitable product mix. The platform is significantly more affordable than Triple Whale at comparable revenue levels and faster to configure. The trade-off is that predictive analytics and creative performance reporting are less developed than in Triple Whale.

Triple Whale

Triple Whale emerged at exactly the right moment. When iOS 14 shattered Meta attribution, brands suddenly had no reliable way to know where their revenue was coming from. The platform stitches together ad spend, first-party order data, LTV cohorts, and blended ROAS into a single dashboard, replacing the spreadsheet sprawl that most DTC finance teams had resigned themselves to. The Pixel layer restores a meaningful degree of post-iOS attribution without relying purely on platform-reported numbers. It's built for Shopify-first brands spending meaningfully on paid social, and the depth of LTV and cohort analysis makes it genuinely useful for financial planning, not just day-to-day campaign management.

Key Features

Polar Analytics

analytics

Blended ROAS Dashboard

Aggregates ad spend from Facebook, Google, and TikTok alongside Shopify revenue into a single blended ROAS view. Updated daily without manual data pulls or spreadsheet reconciliation.

paid

Contribution Margin Tracking

Applies COGS and variable cost data to calculate true contribution margin per channel and campaign. Identifies which acquisition sources are actually profitable after product costs.

trending_up

Shopify Revenue Attribution

Connects marketing spend to Shopify order data with first-click and last-click attribution models. Reconciles ad platform reported ROAS against Shopify actual revenue.

schedule

Automated Daily Reports

Sends a daily performance digest to email or Slack with the key metrics your team checks each morning. Reduces time spent pulling manual reports across separate platform dashboards.

Triple Whale

analytics

Pixel Attribution

First-party pixel captures every touchpoint independently of platform-reported data for accurate ROAS across all channels.

people

Cohort Analysis

Tracks repeat purchase behaviour and CLV by cohort so you can identify which acquisition channels bring your best customers.

summarize

Summary Dashboard

One screen shows blended ROAS, MER, revenue, ad spend, and contribution margin. The numbers that actually matter.

smart_toy

Moby AI

Ask questions about your store in plain English and get instant answers drawn from all your connected data sources.

Screenshots

Polar Analytics

Polar Analytics screenshot

Triple Whale

Triple Whale screenshot

Ready to choose?

Visit each tool's site to explore pricing, trials, and integrations before deciding.