The 10 Best Analytics Tools for Ecommerce in 2026

Ecommerce analytics spans five distinct problem categories that require different tools: web behavior and conversion optimization, ad attribution across channels, customer lifetime value and cohort analysis, inventory and fulfillment performance, and financial performance at the operating level. Most ecommerce brands have the first two partially covered. The best operators connect all five into a single operating intelligence layer that tells them not just what happened — but what made money, what leaked margin, and what to do next week. This guide covers the 10 best tools across all five categories.

The Five Categories of Ecommerce Analytics

Web analytics. Traffic sources, session behavior, conversion rates, cart abandonment, and page performance. Google Analytics 4 dominates this category. Every ecommerce brand needs it.

Ad attribution. Which ad spend drove which orders — broken down by channel, campaign, creative, and audience. Triple Whale and Northbeam lead this category. Essential for brands spending $10K+ per month on paid media.

Customer LTV and cohort analysis. What customers acquired through each channel are worth over 30, 90, and 365 days. Lifetimely and Peel Insights specialize here. Critical for making sustainable CAC decisions.

SKU and inventory analytics. Which products generate profit vs. consume capital, sell-through rates, reorder timing, and return rates by SKU. Glew, Metorik, and inventory systems cover this.

Operating intelligence. The layer that connects all of the above to financial performance — contribution margin by channel, P&L, cash flow, and recommended actions. Fairview covers this layer. Without it, the other four categories produce data without operating decisions.

The 10 Best Ecommerce Analytics Tools in 2026

2. Google Analytics 4 — Best Web Analytics for Ecommerce

Google Analytics 4 is the default web analytics platform for ecommerce — it is free, deeply integrated with Google Ads and Search Console, and provides session-level data on traffic sources, user behavior, conversion funnels, and purchase events. Every ecommerce brand should have GA4 as a baseline. The event-based data model in GA4 provides more flexibility than Universal Analytics for tracking custom purchase events, subscription conversion, and multi-step checkout funnels.

GA4's limitation is what it cannot see: the financial performance side of the business. GA4 records revenue from transactions, but it has no visibility into COGS, fulfillment costs, return costs, or the margin that revenue generates. It also does not provide reliable cross-device attribution for paid media — which is why most brands that scale beyond $500K in revenue add a dedicated attribution tool alongside GA4 rather than relying on it for media measurement.

Pricing: Free. GA4 360 (enterprise) starts at $150,000/year.

Best for: All ecommerce brands as a baseline web analytics layer. Not a substitute for ad attribution or operating intelligence tools.

3. Triple Whale — Best Ad Attribution for Ecommerce

Triple Whale is the most widely adopted ad attribution tool for Shopify-based ecommerce brands. Its first-party pixel provides post-iOS14 attribution accuracy across Meta, Google, TikTok, and other channels. The Summary dashboard gives operators a daily view of revenue, spend, blended ROAS, and customer acquisition costs. Moby AI answers performance questions in natural language. Sonar analyzes creative performance at the ad level to identify which content drives the most efficient new customer orders.

Pricing: Starts at ~$129/mo. Scales with GMV — typically $299 to $999/mo for brands at $1M to $10M revenue.

Best for: Shopify brands spending $10K+ per month on paid social who need accurate post-iOS14 attribution.

4. Lifetimely — Best for Customer LTV and Cohort Analysis

Lifetimely's core value is LTV analysis by acquisition source — showing which channels produce customers worth $200 over 12 months versus customers worth $85. This data drives sustainable CAC strategy. The platform's P&L module connects Shopify revenue to manually entered COGS and pulled ad spend to produce a contribution margin view that most Shopify-native analytics cannot reach. Affordable starting price makes it accessible for brands at $500K+ revenue.

Pricing: From $59/mo. Best for: D2C brands prioritizing LTV-based CAC optimization and cohort performance analysis.

5. Northbeam — Best Multi-Touch Attribution for High-Spend Brands

Northbeam uses machine learning to assign fractional credit across every touchpoint in the customer journey — paid social, paid search, email, influencer, affiliate, and organic. Media mix modeling simulates budget shift outcomes before executing, and LTV prediction by acquisition channel provides the long-term view that ROAS alone misses. Best for brands running $50K+ per month across six or more channels.

Pricing: Custom — typically $1,000 to $3,000+/mo. Minimum ad spend applies. Best for: High-spend ecommerce brands needing multi-touch attribution and media mix modeling.

6. Glew — Best for SKU-Level Profit Reporting

Glew provides SKU-level profit, return rate, and repeat purchase analysis across Shopify, WooCommerce, and Amazon. For brands with wide product catalogs where a small subset drives most margin, Glew's product performance data identifies what to scale and what to discontinue. Customer segmentation and LTV reporting round out the platform.

Pricing: From $79/mo. Best for: Multichannel ecommerce brands needing SKU-level profitability reporting across multiple sales channels.

7. Polar Analytics — Best for Fast-Setup Ecommerce Analytics

Polar Analytics connects Shopify, Meta, Google Ads, and Klaviyo in hours — not weeks. Its pre-built metric library covers ROAS, MER, CAC, and basic contribution margin without custom configuration. The AI assistant generates plain-language performance summaries. Best for brands that need better analytics than Shopify's native reports at a reasonable price.

Pricing: From $300/mo. Best for: Ecommerce brands at $500K to $5M revenue needing fast, accessible analytics beyond Shopify's built-in reporting.

8. Peel Insights — Best for Cohort Analytics on Shopify

Peel Insights is a Shopify-native cohort analytics tool that delivers customer retention, LTV, and repeat purchase data by cohort with minimal setup. Its subscription analytics module tracks MRR, churn, and customer retention for brands with recurring revenue components. The product is simpler and more affordable than Lifetimely, making it accessible for earlier-stage brands that need cohort data without the full LTV modeling suite.

Pricing: From $99/mo. Best for: Shopify brands that want cohort analytics and subscription metrics at accessible pricing.

9. Daasity — Best for Enterprise D2C Analytics

Daasity provides a data warehouse-backed analytics platform for D2C brands at $20M+ revenue with internal data teams. It connects Shopify, Amazon, ad platforms, loyalty programs, and subscription billing systems into a centralized model with SQL access for custom analysis. Best for brands that have outgrown off-the-shelf dashboards and need fully custom data infrastructure.

Pricing: Custom — $1,500 to $5,000+/mo. Best for: Enterprise D2C brands with dedicated data teams requiring fully custom analytics models.

10. Metorik — Best for Shopify and WooCommerce Store Analytics

Metorik provides detailed order, customer, and product analytics for Shopify and WooCommerce. It connects in minutes and provides pre-built reports on revenue trends, customer retention, product performance, and cohort LTV. Its email digest feature sends a daily revenue summary — a simple but high-value feature for operators who want to start each day with their key numbers without logging into a dashboard.

Pricing: From $20/mo for small stores. Scales with order volume. Best for: Shopify and WooCommerce brands that need better store analytics than native reporting at low cost.

Comparison Table

Building Your Ecommerce Analytics Stack by Revenue Stage

Under $500K revenue: GA4 (free) + Metorik ($20/mo) + Fairview Starter ($149/mo). Total: ~$170/mo. This covers web analytics, store reporting, and operating intelligence with margin visibility.

$500K to $3M revenue: GA4 + Triple Whale ($299/mo) + Fairview Growth ($349/mo). Total: ~$650/mo. Add Lifetimely ($79/mo) if LTV by cohort is a priority for CAC strategy.

$3M to $15M revenue: GA4 + Triple Whale or Northbeam + Fairview Scale ($699/mo) + Glew for SKU reporting. Total: $1,200 to $2,000/mo. This covers all five ecommerce analytics categories with strong depth in each.

$15M+ revenue: GA4 + Northbeam + Fairview Scale + Daasity for custom data warehouse. Total: $3,000 to $7,000+/mo. Full enterprise analytics capability across attribution, LTV, margin, and custom data models.

Frequently Asked Questions