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Best eCommerce Analytics (2026)

eCommerce analytics tools collect and visualize data from online stores, tracking sales, conversion rates, customer behavior, and marketing attribution. They help merchants and growth teams measure store performance and identify revenue opportunities.

Top eCommerce Analytics deals

DataHawk logo

DataHawk

Free demo + custom annual pricing

Unified Amazon, Walmart and Shopify analytics for brands and agencies — SKU-level profitability, AI alerts, and a custom annual plan.

Verified 3d ago
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Sellerboard logo

Sellerboard

Amazon FBA profit analytics and seller management tool — real-time P&L, PPC optimisation, inventory alerts, and automated buyer follow-up emails from $15/month.

Verified 14d ago
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Jungle Scout logo

Jungle Scout

Amazon product research and seller analytics platform helping e-commerce entrepreneurs find profitable niches, track competitors, and manage inventory.

Verified 14d ago
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Klaviyo logo

Klaviyo

E-commerce-focused email and SMS marketing automation platform with deep data integrations, predictive analytics, and revenue-attributed campaign reporting.

Verified 14d ago
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All eCommerce Analytics side-by-side

4 deals in eCommerce Analytics

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Tool Starts at Savings Action
DataHawk Unified Amazon, Walmart and Shopify analytics for brands and agencies — SKU-level profitability, AI alerts, and a custom annual plan. Free demo + custom annual pricing View deal
Sellerboard Amazon FBA profit analytics and seller management tool — real-time P&L, PPC optimisation, inventory alerts, and automated buyer follow-up emails from $15/month. View deal
Jungle Scout Amazon product research and seller analytics platform helping e-commerce entrepreneurs find profitable niches, track competitors, and manage inventory. View deal
Klaviyo E-commerce-focused email and SMS marketing automation platform with deep data integrations, predictive analytics, and revenue-attributed campaign reporting. View deal

No deals match the current filters.

Buying guide

How to choose

The right eCommerce analytics tool depends on your store size, data sources, and how deeply you need to analyze customer journeys. Standalone tools focus on dashboards, while integrated platforms connect ad spend, CRM, and store data for full-funnel reporting. Prioritize integrations with your existing stack before features like AI insights or cohort analysis.
  1. 01

    Platform Integrations

    Confirm native support for your storefront (Shopify, WooCommerce, BigCommerce) and connected ad accounts, email tools, and payment processors. Missing integrations force manual work or costly custom pipelines.
  2. 02

    Attribution and Funnel Tracking

    Look for multi-touch attribution, abandoned cart funnels, and customer lifetime value tracking. Basic tools only report last-click, which misrepresents marketing performance.
  3. 03

    Data Freshness and Customization

    Check how often data refreshes and whether you can build custom reports or cohorts. Real-time dashboards matter for ad optimization, while historical depth matters for trend analysis.

Pricing reality

Most tools charge $50–$500/month for small-to-mid stores, scaling with order volume or data points; enterprise platforms like Looker or Amplitude can exceed $1,000/month and often require implementation help.

Frequently asked questions

It is software that aggregates sales, traffic, and customer data from an online store to produce reports on revenue, conversion rates, and marketing performance. Merchants use it to understand buying behavior and optimize the customer journey.
Google Analytics is a general web analytics tool, while eCommerce analytics platforms are purpose-built for online retail. They typically offer deeper order-level data, store integrations, and pre-built reports for metrics like AOV, LTV, and product performance.
Shopify's built-in reports cover basic sales and traffic, but lack cross-channel attribution, cohort analysis, and integration with ad platforms. Growing stores usually outgrow native reports and need a tool that unifies marketing and store data.