Side-by-side comparison
Glew.io vs Polar Analytics
Compare Glew.io and Polar Analytics across pricing, features, and fit for your e-commerce stack.
Polar Analytics
Shopify DTC analytics with blended ROAS and contribution margin in one view
PaidQuick Comparison
About
Glew.io
Glew positions itself as a business intelligence layer rather than a point analytics tool. It connects to Shopify, advertising platforms, email providers, and inventory tools, then surfaces data in pre-built dashboards covering cohort analysis, customer LTV, repeat purchase rate, and product margin. The cohort reporting is particularly strong: you can see how customers acquired in a specific month or via a specific channel perform over 12 months in terms of repeat purchase and revenue without needing to configure a custom data warehouse. For operators who rely on spreadsheets or fragmented platform dashboards to piece together performance data, Glew represents a meaningful consolidation. The pricing scales with order volume, which keeps entry affordable for mid-size brands while becoming expensive at high volumes where a dedicated BI setup becomes more cost-effective.
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.
Key Features
Glew.io
Customer Cohort Analysis
Groups customers by acquisition date, channel, or product first purchased and tracks their repeat purchase behaviour over time. Identifies which acquisition sources produce the highest lifetime value.
Product Performance Reporting
Breaks down revenue, margin, return rate, and repeat purchase rate by SKU, product category, and variant. Surfaces which products are driving LTV versus one-time buyers.
Multi-Channel Data Aggregation
Connects to Shopify, Google Ads, Facebook Ads, Klaviyo, and inventory tools. Presents unified performance data across all channels without manual export and reconciliation.
LTV and Repeat Purchase Metrics
Calculates customer LTV by cohort, tracks repeat purchase rate trends, and forecasts average order frequency. Directly informs acquisition spend decisions and retention strategy.
Polar 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.
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.
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.
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.
Screenshots
Glew.io
Polar Analytics
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