analytics

Net ROAS Tracker for Shopify Stores

Idea Quality
100
Exceptional
Market Size
100
Mass Market
Revenue Potential
100
High

TL;DR

Shopify ad managers for DTC brands that automatically merge return/refund data with Meta/Google ad spend to calculate **net ROAS by channel** so they can reallocate 20%+ of ad budget to high-margin channels within 7 days

Target Audience

E-commerce marketers and Shopify store owners who run paid ads (Meta, Google, TikTok) and need to track true profitability after returns.

The Problem

Problem Context

E-commerce marketers use ROAS (Return on Ad Spend) to decide where to spend money on ads. But they often ignore return rates, which can hide the true profitability of a channel. Without tracking returns per marketing source, they risk wasting ad budgets on channels that look good on paper but actually lose money after refunds.

Pain Points

Users manually combine return data with ad performance reports, which is time-consuming and error-prone. Shopify doesn’t natively show return rates by marketing channel, forcing them to use spreadsheets or hire consultants. This leads to misallocated ad spend and missed revenue opportunities from unprofitable campaigns.

Impact

Ignoring return rates in ROAS calculations can cost businesses thousands per month in wasted ad spend. It also distorts decision-making, causing marketers to double down on underperforming channels while neglecting truly profitable ones. The lack of accurate data creates frustration and erodes trust in their marketing strategies.

Urgency

This problem can’t be ignored because ad budgets are often adjusted daily or weekly. Without real-time net ROAS data, marketers make decisions based on incomplete information, which directly impacts their bottom line. The longer they go without fixing this, the more money they lose to unprofitable campaigns.

Target Audience

Shopify store owners, e-commerce growth marketers, and digital advertising managers who run paid campaigns (Meta Ads, Google Ads, TikTok Ads) and need to track true profitability. This includes small to mid-sized businesses with ad budgets of $500–$50,000/month, as well as agencies managing multiple client stores.

Proposed AI Solution

Solution Approach

A simple dashboard that automatically pulls return/refund data from Shopify and combines it with marketing channel performance (e.g., Meta Ads, Google Ads) to show net ROAS per channel. Users connect their Shopify store via OAuth, and the tool does the rest—no manual data entry or spreadsheets required. The goal is to give marketers a single, accurate view of true profitability.

Key Features

  1. Net ROAS Calculator: Shows the actual return on ad spend after accounting for returns, so users see which channels are truly profitable.
  2. Channel-Specific Insights: Breaks down return rates by marketing source (e.g., Facebook, Google, email) to identify high-return vs. high-return-rate channels.
  3. Custom Alerts: Notifies users when a channel’s net ROAS drops below a set threshold, helping them act fast to reallocate budgets.

User Experience

Users log in, connect their Shopify store in 2 clicks via OAuth, and immediately see a dashboard with net ROAS by channel. They can filter by date range, compare channels side by side, and export reports for stakeholders. The tool updates daily, so they always have the latest data to make decisions—no more manual work or guesswork.

Differentiation

Unlike Shopify Analytics or Google Analytics, this tool natively combines return data with marketing channel data in one place. Most alternatives require manual spreadsheets or separate tools, which are slow and inaccurate. The focus is on simplicity: no overcomplicating with AI or unnecessary features—just the one metric marketers need to make better ad spend decisions.

Scalability

The product starts with Shopify stores but can expand to other e-commerce platforms (e.g., WooCommerce, BigCommerce) and additional marketing channels (e.g., TikTok Ads, Pinterest). Users can upgrade to team plans for agencies managing multiple stores, and the tool can integrate with ad platforms (e.g., Meta Ads API) for deeper insights over time.

Expected Impact

Users save hours per week on manual reporting and stop wasting money on unprofitable ad channels. They gain confidence in their marketing decisions because they’re basing them on accurate, real-time data. For businesses, this directly translates to higher profit margins and better ROI from ad spend—often within the first month of using the tool.