Glew vs Supermetrics Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Jun 2026 8 min read

Glew

0.0 (0 reviews)

Glew is an ecommerce analytics software that connects your data sources into a single dashboard to provide actionable insights for growing your online store and improving profitability.

Starting at Free
Free Trial 10 days
VS

Supermetrics

0.0 (0 reviews)

Supermetrics is a data integration platform that automatically moves your marketing data from over 150 platforms into your preferred reporting, visualization, and storage tools for streamlined analysis.

Starting at $29/mo
Free Trial 14 days

Quick Comparison

Feature Glew Supermetrics
Website glew.io supermetrics.com
Pricing Model Freemium Subscription
Starting Price Free $29/month
FREE Trial ✓ 10 days free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile saas
Integrations Shopify BigCommerce WooCommerce Google Ads Facebook Ads Klaviyo Mailchimp Amazon Google Analytics Recharge Google Sheets Excel Looker Studio BigQuery Snowflake Facebook Ads Google Ads LinkedIn Ads Instagram Shopify
Target Users small-business mid-market small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2014 2013
Headquarters Charlotte, USA Helsinki, Finland

Overview

G

Glew

Glew is an ecommerce-focused business intelligence platform that brings all your fragmented data into one clear view. Instead of jumping between Shopify, Google Ads, and Mailchimp, you can see your entire business performance in a single dashboard. It automatically pulls data from your sales channels, marketing platforms, and inventory systems to give you a complete picture of your customer lifetime value, net profit, and product performance.

You can use these insights to identify your most profitable customers, spot trending products before they sell out, and see exactly which marketing campaigns are driving real ROI. It eliminates the need for manual spreadsheets and complex data modeling, making enterprise-level analytics accessible for growing brands. Whether you are managing one store or a portfolio of brands, it helps you make faster, data-driven decisions to scale your operations.

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Supermetrics

Supermetrics helps you eliminate the manual grunt work of moving marketing data into your reporting tools. Instead of downloading CSV files from Facebook, Google Ads, and LinkedIn, you can automate the entire process. You can pull data directly into Google Sheets, Excel, Looker Studio, or data warehouses like BigQuery and Snowflake without writing a single line of code.

The platform is designed for marketing agencies and in-house teams who need to consolidate data from multiple sources for cross-channel reporting. By centralizing your metrics, you can build comprehensive dashboards that update automatically, allowing you to spend your time analyzing performance rather than managing spreadsheets. It supports over 150 data sources, ensuring you have a complete view of your marketing funnel.

Overview

G

Glew Features

  • Multichannel Integration Connect your store, social media, and advertising accounts with one-click integrations to see all your data in one place.
  • Customer Segmentation Identify your VIPs, repeat buyers, and at-risk customers automatically so you can trigger personalized marketing campaigns that convert.
  • Product Analytics Track individual product performance and profitability to understand which items drive the most revenue and which are losing money.
  • Inventory Management Monitor your stock levels and sell-through rates in real-time to ensure you never run out of your best-selling products.
  • Automated Reporting Schedule daily, weekly, or monthly reports delivered straight to your inbox so your team stays aligned on key metrics.
  • Profit Tracking Calculate your true net profit by factoring in COGS, shipping, and advertising spend for a realistic view of your margins.
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Supermetrics Features

  • Automated Data Extraction. Schedule automatic data refreshes so your reports and dashboards are always up to date without any manual intervention.
  • Multi-Channel Reporting. Combine metrics from different platforms like Facebook Ads and Google Ads into a single view for easy cross-channel comparison.
  • No-Code Interface. Build complex data queries and move information between platforms using a simple sidebar interface—no SQL or coding required.
  • Custom Metric Mapping. Standardize naming conventions across different platforms to ensure your data remains consistent and easy to read in every report.
  • Historical Data Access. Pull years of historical performance data from your marketing accounts to identify long-term trends and seasonal patterns.
  • Data Warehouse Uploads. Streamline your data pipeline by sending marketing metrics directly to BigQuery, Snowflake, or Azure for advanced enterprise analytics.

Pricing Comparison

G

Glew Pricing

Glew Starter
$0
  • Unlimited users
  • Basic store integrations
  • Core performance metrics
  • Daily data updates
  • Standard dashboards
S

Supermetrics Pricing

Essential (Google Sheets)
$29
  • 10 data sources
  • 1 user included
  • Weekly automated refreshes
  • Standard support
  • Google Sheets destination

Pros & Cons

M

Glew

Pros

  • Saves hours of manual data entry every week
  • Intuitive interface makes complex data easy to understand
  • Excellent customer segmentation for targeted email marketing
  • Consolidates multiple store views into one login

Cons

  • Initial data sync can take some time
  • Pricing increases significantly as your revenue grows
  • Limited customization for very specific niche reports
A

Supermetrics

Pros

  • Saves hours of manual data collection every week
  • Connects to a massive library of marketing sources
  • Integrates directly into familiar tools like Google Sheets
  • Automated refreshes ensure reports are always current

Cons

  • Pricing can become expensive as you add sources
  • Occasional authentication errors require manual re-connection
  • Learning curve for complex data transformations
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