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The right analytics platform can completely change how you make marketing and product decisions. For e-commerce brands, it’s not just about seeing web traffic, it’s about understanding what drives sales, who your customers are, and which channels deserve your budget.
Below are some of the top analytics platforms for e-commerce in 2025.
1. ThoughtMetric
ThoughtMetric is an easy-to-use multi-touch attribution platform built specifically for e-commerce brands and agencies. It connects directly to Shopify, WooCommerce, Magento, and BigCommerce to track every order with full visibility into what drove it.
You get revenue tracking across all channels, creative, product, and customer analytics, along with post-purchase surveys, and server-side tracking for better accuracy.
Key Features:
- 5 Different Attribution Models: ThoughtMetric provides a variety of multi-touch attribution models, including first touch, last touch, linear paid, position-based, and a recommended multi-touch model. This flexibility allows businesses to align attribution with their marketing goals, offering a complete view of the customer journey.
- Campaign Performance Analysis: Offers in-depth tools to analyze campaign performance across channels, pinpointing which campaigns effectively drive traffic, engagement, and sales. You can view key metrics at the campaign, ad set, and ad level, giving you granular insights into what’s working.
- Product Analytics: Track performance at the SKU level to see which products drive the most revenue, attract new vs. returning customers, and perform best across each channel.
- Creative Performance Analysis: Helps marketers measure the effectiveness of their ad creatives, ensuring investments in visuals and messaging deliver real conversions.
- Customer Analytics: Provides insights into customer behavior, journey paths, and purchase drivers, supporting the development of targeted marketing strategies that improve customer lifetime value.
- Server-Side Tagging: Uses server-side tagging to bypass data loss from iOS 14 updates and ad blockers, resulting in more accurate and dependable tracking.
- Customer Surveys: Customizable post-purchase surveys collect data directly from customers, offering clarity on how shoppers discovered your brand and why they purchased.
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Simple Pricing Based on Pageviews: Unlike many attribution platforms that gate features behind tiers, ThoughtMetric’s pricing is straightforward and based on monthly pageviews. Every customer gets access to the full feature set. Plans start at $99/month for 50,000 pageviews.
Best for: E-commerce brands that want accurate attribution and actionable insights without complexity.
2. Le Pixel by Lebesgue
Le Pixel is the first-party tracking and attribution solution within Lebesgue: AI CMO, designed to help Shopify merchants understand how every marketing channel contributes to growth and customer lifetime value.
With a one-click setup, Le Pixel connects your store, ad platforms, and marketing channels into a single analytics view. It tracks cross-platform conversions through secure server-to-server connections and attributes revenue using advanced models tailored to your customer journey.
Key Features:
- One-Click Integration: Easily install the pixel on Shopify and start tracking without complex setup or code changes.
- First-Party Tracking: Capture accurate, privacy-compliant data across Meta, Google, TikTok, email, and organic channels.
- Advanced Attribution Models: Choose from multiple attribution frameworks — including Shapley value, Markov chain, first-click, and linear models — to better reflect how customers convert.
- Multi-Channel Journey Tracking: Visualize customer paths across ads, email, search, and social to understand true channel impact.
- Landing Page Analysis: Evaluate which pages and products contribute most to conversions, helping refine the customer journey from click to checkout.
Best for: E-commerce brands that want accurate, first-party attribution and clear insights into how marketing efforts drive both revenue and long-term customer value.
3. Rockerbox
Rockerbox is a media measurement and multi-touch attribution platform designed for data-driven DTC and subscription brands. It helps marketers understand how online and offline channels work together to drive conversions, from Meta and Google Ads to direct mail, TV, and podcasts.
Unlike most e-commerce analytics tools, Rockerbox goes beyond digital attribution by offering media mix modeling and incrementality testing, giving larger teams a deeper understanding of how each channel contributes to revenue.
Key Features:
- Multi-touch attribution across online and offline media
- Media mix modeling (MMM) for budget optimization
- Incrementality testing to measure true channel lift
- Cross-device and cross-channel tracking
- Integrations with major ad platforms, CRMs, and data warehouses
Best for: Large DTC brands running complex, multi-channel media campaigns
4. Northbeam
Northbeam focuses on media mix modeling and predictive analytics. It’s powerful but often requires more technical setup and larger ad budgets to get the most value.
Key Features:
- Cross-channel attribution and forecasting
- Predictive revenue modeling
- Data warehouse integrations
Best for: Advanced teams that need deeper data modeling and predictive attribution.
5. Daasity
Daasity integrates marketing, sales, and operations data into a single warehouse and visualization layer. It’s powerful but better suited to teams with in-house data analysts.
Key Features:
- ETL pipelines for Shopify, Amazon, and ad data
- Pre-built dashboards for DTC KPIs
- SQL-based data warehouse
Best for: Enterprise brands that want a full data warehouse solution.
6. Segwise
Segwise is an AI creative analytics platform for DTC and e-commerce brands that automatically tags creative elements (product showcases, headlines, offers, CTAs, social proof, visual layouts) inside images and video and links those tags to sales and lifetime-value signals.
It gives teams clarity on what actually drives profitable outcomes. Instead of guessing which visuals or messages contributed to a strong ROAS, it links every creative decision to purchase behavior and repeat buying. It brings performance and creative data together in one place, reduces manual reporting work, and points directly to what should be scaled or replaced.
Marketing, growth, and creative teams work from the same performance-backed data, enabling faster, more effective decisions.
Key Features:
- AI creative tagging: Detects product angles, banners, social proof, offer messaging, CTAs, and other elements inside every creative to find what brings higher-value sales.
- Cross-channel reporting: Compares creative results across Meta, TikTok, Google, and more in a single dashboard without manual data stitching.
- Product and category performance insights: Shows which items convert best with which creative elements, helping teams pair products with visuals that attract stronger buyers.
- Automated performance signals: Early indicators highlight creatives gaining momentum or losing efficiency, guiding timely swaps and budget shifts.
- Creative iteration support: Suggests winning patterns from past data to guide new variations that stay aligned with shopper behavior.
Best for: E-commerce and DTC brands that depend on paid ads and want reliable insights into which creative decisions lead to better sales outcomes and more profitable growth.
7. Mipler Reports for Shopify
Mipler Advanced Reports is a reporting app built only for Shopify, designed to work seamlessly with the Shopify ecosystem.
Highlights:
- Native integration with Shopify data: orders, products, customers, meta fields.
- Custom columns and reports to fit all your needs.
- Fast reports optimized for large Shopify stores.
- Easy export to Google Sheets, Excel, and CSV.
Best for: Shopify merchants who want accurate reporting that fits Shopify.
Final Thoughts
The best analytics platform depends on your goals and technical needs.
If you want an analytics platform built specifically for e-commerce, one that connects marketing, customer, and product insights without the complexity, ThoughtMetric is the clear choice.
Book a demo with ThoughtMetric to see how accurate attribution and analytics can help your brand scale faster.
FAQs
What is ThoughtMetric?
ThoughtMetric is a multi-touch attribution and analytics platform built specifically for e-commerce brands. It connects directly to your store and ad platforms to show which channels, products, and campaigns actually drive revenue.
ThoughtMetric is a multi-touch attribution and analytics platform built specifically for e-commerce brands. It connects directly to your store and ad platforms to show which channels, products, and campaigns actually drive revenue.
How is ThoughtMetric different from other analytics tools?
Most analytics tools show surface-level data. ThoughtMetric goes deeper by combining marketing attribution, product analytics, customer analytics, and post-purchase survey insights in one clear dashboard so you see both what people say influenced them and what actually did.
Most analytics tools show surface-level data. ThoughtMetric goes deeper by combining marketing attribution, product analytics, customer analytics, and post-purchase survey insights in one clear dashboard so you see both what people say influenced them and what actually did.
Does ThoughtMetric work with my e-commerce platform?
Yes. ThoughtMetric integrates directly with Shopify, WooCommerce, and BigCommerce, as well as major ad platforms like Meta, Google, TikTok, and Pinterest. Setup takes just minutes and does not require a data team.
Yes. ThoughtMetric integrates directly with Shopify, WooCommerce, and BigCommerce, as well as major ad platforms like Meta, Google, TikTok, and Pinterest. Setup takes just minutes and does not require a data team.
Which attribution models does ThoughtMetric offer?
ThoughtMetric includes five standard attribution models: First Touch, Last Touch, Linear, Position Based, and Multi-Touch. You can also create custom models to assign credit to channels in the way that best reflects your customer journey.
ThoughtMetric includes five standard attribution models: First Touch, Last Touch, Linear, Position Based, and Multi-Touch. You can also create custom models to assign credit to channels in the way that best reflects your customer journey.
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