PAIN TRIGGERS
Google Ads ROAS metrics are inflated due to including VAT and shipping in conversion values.
Google Ads does not automatically account for order refunds.
SaaS· ecommerce store ownersPain 8.00/10WTP 8.0/10Market 8.0/10Validation 9.0Confidence 95%Sep 24, 2026
NetROAS: Automated Net Profit Attribution for Shopify & Google Ads
Google Ads default reporting calculates ROAS using gross order totals (including VAT and shipping) while ignoring refunds, causing up to a 28% performance discrepancy that leads store owners to overspend on unprofitable campaigns.
analyticsautomationcost-reductione-commerceintegrationmarketingsaassmall-business
1
STAGE 01 · PROBLEM
Is the problem real?
CANONICAL PROBLEM
Google Ads default reporting calculates ROAS using gross order totals (including VAT and shipping) while ignoring refunds and customer acquisition types, leading store owners to overestimate their actual profit margins.
FREQUENCY
Multiple repeated complaints in the post and comments.
INTENSITY
Users explicitly describe existing tools as bloated/overkill and mention workaround behavior.
EVIDENCE
Your Google Ads ROAS is probably counting VAT and shipping as revenue.
ecommerce54
Your Google Ads ROAS is probably counting VAT and shipping as revenue.
ecommerce54
Your Google Ads ROAS is probably counting VAT and shipping as revenue.
ecommerce54
2
STAGE 02 · CUSTOMER
Who feels this pain?
TARGET USERS
ecommerce store ownersD2 C E Commerce Store Owners
Store operators spending money on Google Ads who need accurate net-profit and true-ROAS data free of inflated VAT, shipping, and unadjusted refunds.
Context
Accurately measure true net advertising performance (ROAS) on e-commerce stores by removing VAT, shipping, and refunds, and tracking first-order profitability.
Manually cross-referencing Google Ads conversion values with Shopify average order values on net sales.
Current Workarounds
Manually cross-referencing Google Ads conversion values with Shopify average order values on net sales
Ignoring refund adjustments entirely and absorbing ad waste
Complex, error-prone manual conversion uploads for refunds
3
STAGE 03 · MARKET
Where's the gap?
EXISTING SOLUTION GAPS
Google Ads natively reports gross revenue rather than net revenue for conversion values.
Google Ads does not automatically factor in store refunds or differentiate between first-time buyers and returning customers without manual conversion adjustments.
OPPORTUNITY & VALUE
Why Now
Multiple users explicitly noted that gross revenue reporting creates a ~28% discrepancy and that Google Ads lacks automated refund tracking.
Value Proposition
Purpose-built specifically for fixing Google Ads gross revenue inflation and automated refund handling without requiring heavy, expensive full-suite analytics platforms.
Product Direction
A lightweight middleware app that automatically syncs Shopify net sales data (excluding VAT, shipping, and adding refund adjustments) back to Google Ads via offline conversion tracking.
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STAGE 04 · BUSINESS
How does it make money?
MONETIZATION
$49/moUp to $50k ad spend/mo tracked
Model
SaaS subscription
WILLINGNESS TO PAY
Stores waste hundreds or thousands of dollars monthly due to inflated ROAS metrics; $49/mo is a tiny fraction of the ad budget saved from incorrect optimization.
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STAGE 05 · EXECUTION
How do you ship it?
MVP PLAN
“Sync true net revenue and refunds to Google Ads automatically in 6 weeks.”
A lightweight middleware app that automatically syncs Shopify net sales data (excluding VAT, shipping, and adding refund adjustments) back to Google Ads via offline conversion tracking.
Core Features
Shopify store webhook integration for order creation and refunds
Automatic calculation filtering out VAT, shipping, and refunded amounts
Google Ads offline conversion value adjustment sync API integration
Dashboard showing gross vs. net ROAS discrepancy metrics
Weekly Roadmap
1
W1-W2
Shopify order data parsing core built successfully.
- •Connect Shopify webhooks for orders and refunds
- •Build calculation engine to strip VAT and shipping
- •Store normalized net order values in database
2
W3-W4
Google Ads API integration for offline conversion adjustment completed.
- •Implement Google Ads OAuth authentication
- •Build automated batch sync for net conversion values
- •Handle refund upload adjustment API payloads
3
W5
Dashboard UI created and 5 beta store owners onboarded.
- •Build simple analytics dashboard comparing gross vs net ROAS
- •Implement Stripe billing
- •Recruit 5 UK/e-commerce store owners for private beta test
4
W6
Public launch with first paying e-commerce customers.
- •Launch on r/ecommerce and r/shopify
- •Publish case study highlighting ad spend savings from beta
- •Monitor automated daily sync reliability
Launch Strategy
Target e-commerce communities on Reddit (r/ecommerce, r/shopify) and specialized marketing forums where store owners complain about ad attribution discrepancies.
RISKS & ASSUMPTIONS
Top Risks
Google API compliance and approval delays
Google Ads API token approval and offline conversion upload verification processes can take time and introduce launch friction.
Complex multi-currency and regional tax logic
Accurately stripping VAT and varying international shipping costs across different Shopify configurations requires robust edge-case handling.
Low initial trust for conversion access
Store owners may hesitate to grant ad account access to a brand new, unproven tool.
6
STAGE 06 · DECISION
Should you build it?
NEED A CLEARER CALL?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 3 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
Why this matters for SaaS founders
It sits at the intersection of "analytics", "automation", "cost-reduction", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "NetROAS: Automated Net Profit Attribution for Shopify & Google Ads" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for analytics?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most saas opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.