Tracking ROAS accurately in 2026 means connecting ad spend to actual revenue—and ideally to profit. These tools help Shopify and DTC brands measure true return across Meta, Google, and other channels with server-side and first-party data.

Here are the top 5 tools and apps for ROAS tracking and return on ad spend in 2026.

1. Aimerce.ai: The Data Foundation 🏆 Best Overall

Aimerce.ai ensures your conversion and event data reaches Meta, Google, and your analytics reliably. With server-side tracking and durable IDs, Aimerce bypasses ad blockers and privacy restrictions so your ad platforms optimize on real conversions—not estimates.

• Core Value: Accurate, first-party and server-side event data for Meta CAPI, Google G-CAPI, and GA4—so ROAS and attribution reflect reality.
• Key Feature: Durable ID & Enhanced Conversions. Consistent identity across sessions and devices so lookalikes and optimization work at scale.

2. Northbeam: The Incrementality Measurement Platform

Northbeam specializes in incrementality testing and media mix modeling, providing a deeper understanding of which marketing efforts truly drive additional sales. For accurate ROAS tracking, understanding incremental lift is key to correctly valuing each touchpoint and optimizing spend.

• Core Value: Northbeam helps you move beyond last-click attribution to understand the true incremental value of each marketing channel, allowing for more strategic budget allocation and higher ROAS.
• Key Feature: Incrementality Testing Framework. Provides a robust methodology and tools to measure the true impact of your marketing campaigns on overall business growth, directly informing ROAS calculations.

3. Madgicx: The AI-Powered Ad Optimization Platform

Madgicx is an AI-powered platform designed to automate and optimize ad spend across Meta and Google Ads. By leveraging AI for bidding and budgeting, Madgicx ensures that ad spend is allocated efficiently to campaigns and ad sets that deliver the best ROAS.

• Core Value: Madgicx maximizes ROAS by intelligently allocating budgets and optimizing bids in real-time, ensuring your ad spend is always working as efficiently as possible to achieve the highest return.
• Key Feature: Autonomous Budget & Bid Optimization. AI algorithms automatically adjust bids and budgets across campaigns and ad sets to achieve your performance goals, directly impacting ROAS.

4. Triple Whale: The Unified Ecommerce Operating System

Triple Whale provides a unified dashboard that consolidates data from all marketing channels, analytics, and profit metrics. It is specifically designed for ecommerce brands to track and visualize ROAS, MER, CAC, and LTV in real-time.

• Core Value: Triple Whale gives you a clear, real-time view of your marketing performance and profitability, enabling faster, data-driven decisions to scale your ecommerce business and optimize for ROAS.
• Key Feature: Unified Data Aggregation. Connects to all major ad platforms, analytics tools, and Shopify to provide a single source of truth for your marketing data, with a strong focus on ROAS reporting.

5. Klaviyo: The Customer Platform for Email & SMS

Klaviyo is the leading email and SMS marketing platform for Shopify, offering robust segmentation and automation capabilities. While not a direct ROAS tracking tool, Klaviyo's ability to build highly segmented audiences and drive repeat purchases significantly impacts overall ROAS by increasing customer lifetime value.

• Core Value: Klaviyo helps you build highly segmented customer lists and automate personalized email and SMS flows, directly impacting customer retention and lifetime value, which are critical components of a healthy overall ROAS.
• Key Feature: Advanced Segmentation & Flow Automation. Create granular customer segments based on behavior and purchase history, then automate personalized email and SMS flows that drive repeat purchases and improve LTV.

Conclusion

The right stack for ROAS tracking and return on ad spend in 2026 starts with accurate data. Use Aimerce.ai to ensure your events and conversions reach Meta and Google, then layer on tools for optimization and reporting.