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Executive Summary

Shopify merchants running paid ads on Meta and Google face a growing trust gap between what their ad dashboards report as ROAS and what their bank account actually shows. Since iOS 14.5, attribution has shifted to probabilistic models that systematically overstate performance, often by 20-40%, while rising CAC has pushed most DTC brands to break-even or worse unit economics. Brands spending $50k+ monthly on ads need daily P&L visibility to catch leakage quickly, but most use spreadsheets or wait for their accountant's monthly close, by which time they've burned another $50k on campaigns that looked profitable but weren't. The MVP is a Shopify app that ingests sales data, COGS, and ad spend via API, then generates a daily P&L dashboard comparing cash-basis profitability against reported ROAS from each ad platform. The first version should surface the delta between what Meta claims you made and what actually hit your account, segmented by campaign or product line, with alerts when the gap widens beyond a threshold. You could build this in 6-8 weeks with a sharp full-stack developer and price it at $200-500/mo based on ad spend tiers, targeting the 50,000 Shopify Plus merchants first since they have the budgets and pain. The timing is strong because the attribution decay problem has matured from a 2021 surprise into a permanent condition that merchants now budget around, creating sustained demand for reconciliation tools rather than a one-time fix. The $2.4B market size assumes you can reach 2M active Shopify stores at $100/mo blended ACV, though realistically the wedge is the top 5-10% of stores spending heavily on ads, which still yields a $120-240M addressable segment. Shopify's 2023 admin extensibility also means your tool can live inside the merchant dashboard instead of being yet another tab, which should double activation rates compared to standalone SaaS. Competition is high with players like TripleWhale, Northbeam, and Lifetimely already offering profit dashboards, so differentiation has to come from speed to insight and price. Your edge could be focusing narrowly on the ROAS reconciliation wedge rather than trying to be a full analytics suite, positioning as the daily cash-flow truth-teller that works alongside existing tools. The first validation move is to cold-email 50 Shopify Plus merchants with $30k+ monthly ad spend, offering a free two-week buildout of their P&L in a Google Sheet to prove the delta exists, then converting 3-5 into design partners at $100/mo before writing code. The biggest risk is that the problem is a vitamin not a painkiller, merchants already know their ROAS is inflated but don't act on better data because changing ad strategy is organizationally hard or they lack attribution alternatives.

Executive Summary

Why Now

Ad attribution inflation has worsened post-iOS 14.5 (2021) as Meta and Google shifted to modeled attribution, creating a 15-30% gap between reported and actual ROAS that merchants only discover during tax season or cash crunches. Shopify's 2023 expansion of admin extensibility (app embeds, custom dashboards) makes it viable to build diagnostic tools inside the merchant workflow rather than forcing tab-switching. Rising CAC across all channels (up 60% 2020-2023) and tighter VC funding for DTC brands mean operators now care about unit economics daily, not quarterly.

Pain Points

Shopify store owners running Meta and Google ads see ROAS metrics that appear healthy but actual bank balance does not match, because platform attribution overstates return and hides CAC bleed across channels.

Existing profit tools like TrueProfit, Lifetimely, and BeProfit report a single profit figure, obscuring which SKUs, ad campaigns, or fulfillment lines are underwater and burning cash silently.

Operators lack granular visibility into margin erosion per product or channel, making it impossible to kill unprofitable SKUs or campaigns until quarterly reviews or cash crisis forces intervention.

P&L diagnostics for Shopify stores to surface ad-spend leakage vs. reported ROAS

Executive Summary

P&L diagnostics for Shopify stores to surface ad-spend leakage vs. reported ROAS

Executive Summary

Executive Summary

Why Now

Pain Points

MVP Preview

Market Validation

Market Opportunity

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Validation Questions

More in E-commerce

Prevent lost revenue from site downtime and out‑priced offers with real‑time monitoring + competitor signals

Shopify product discoverability to LLMs — feed-to-ChatGPT connector

Boost merchant profits by using AI sales agents that act and optimize

Lost profit from stockouts & overstock — AI inventory forecasting

Poor product creative ops — AI infra for scalable, personalized e‑commerce content

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