TL;DR
The brand arrived in January 2024 with a store generating near-zero organic revenue. Paid channels were running but returning approximately 2× ROAS before the engagement, with most revenue disappearing into attribution gaps. Significant cross-border demand existed from the US–Mexico border region — with zero Spanish-language presence to capture it.
The store wasn’t failing because of weak demand. It was failing because it was structurally invisible — to Google’s product surfaces, to AI engine recommendations, and to the attribution systems that would let us prove any of this was working.
What was broken at engagement start:
Every schema block, content brief, and workflow in this engagement was built personally by the founder. Nothing outsourced, nothing auto-published.
01
Rebuilt product schema across the full catalog by hand
Implemented Product, Offer, and AggregateRating structured data on every listing, structured for Google Shopping rich result eligibility and AI engine product citation. Rich result eligibility confirmed within 11 days of deployment. This is the foundational fix that made every surface — Shopping ads, organic rich results, AI recommendation engines — aware the brand existed.
02
Bilingual content architecture (EN/ES) with hreflang pairs
Built Spanish-language category pages targeting cross-border commercial queries from the Mexicali and Tijuana markets — engineered around specific buyer queries, not translated from English templates. Organic sessions from Mexico increased measurably within the first two months. This market was invisible revenue sitting on the table.
03
AEO content layer on category and brand pages
Implemented FAQ schema targeting the exact questions buyers type into Perplexity and ChatGPT when evaluating organic food brands: certification legitimacy, sourcing transparency, shipping policies. Structured definition-first for AI engine extraction.
04
Google Shopping feed and Meta catalog rebuild + Amazon channel
Rebuilt the Google Shopping feed from source: corrected title structure, completed GTIN coverage, replaced low-quality product images. Rebuilt the Meta catalog with full UTM architecture and Conversion API (CAPI) implementation. Attribution coverage recovered from approximately 30% to over 90%. Amazon Integration Plus channel built and wired to Shopify order tracking.
05
CRO pass on the five highest-revenue-potential pages
Restructured above-fold CTAs, revised trust signal hierarchy (organic certifications, origin claims, third-party validation), and implemented an abandoned cart recovery sequence. Checkout conversion rate showed measurable improvement within the first 30 days.
06
GA4 ecommerce audit and event repair
Rebuilt the purchase event, begin_checkout, and add_to_cart tracking. Revenue attribution became measurable with less than 5% data gap versus platform order data. Without this step, the 10.1× ROAS number doesn’t exist — you can’t optimize what you can’t measure.
Online Store revenue grew +1,854% over the engagement compared to the equivalent prior baseline. Amazon channel reached $51,555.25 in the same window. The program returned 10.1× ROAS across all program-attributed channels. All figures verified in Shopify channel data and platform order exports — not modeled, not AI-influenced.
| Metric | Baseline | Result | Window |
|---|---|---|---|
| Online Store revenue (Shopify) | $6,677.85 | $130,481.30 (+1,854%) | Engagement measurement window |
| Amazon channel revenue (Shopify) | $18,259.66 | $51,555.25 | Engagement measurement window |
| ROAS (program-level, all channels) | — | 10.1× | Jan 1 – Mar 16, 2024 |
| Pre-engagement ROAS (paid only) | ≈2× | 10.1× | Full program vs. prior period |
| Attribution coverage | ≈30% | >90% | Post-CAPI + Shopify channel rebuild |
An early test of programmatic blog content targeting broad organic food terms — recipes, health benefits, ingredient guides — drove indexed traffic but near-zero purchase intent. The content was de-prioritized in week four and resources reallocated to commercial category content and bilingual landing pages targeting buyers in active-consideration queries. High-traffic content without revenue intent is a distraction. We cut it quickly.
How long did it take to see results?
First measurable revenue lift appeared in week three. The +1,854% figure reflects the full 75-day window (January 1 – March 16, 2024).
Is the +1,854% cherry-picked from a low baseline?
Yes — the baseline was modest. This brand was in early-stage organic growth when the engagement started. We present indexed values rather than absolute revenue under NDA. The +1,854% reflects verified Shopify order data: Online Store from $6,677.85 to $130,481.30. Not traffic counts. We pre-empt this question because it’s the right one to ask.
What does 10.1× ROAS include?
Tracked revenue from all program-attributed channels (Online Store + Amazon) divided by total program cost — MAD1SON FOUNDRY agency fees + Google Ads spend + Meta Ads spend. Only purchases with a verified first or last touch in program channels are counted. No revenue is modeled, AI-influenced, or estimated from assisted conversions at full value.
Was AI-generated content used in this engagement?
AI accelerates our research, competitive analysis, and QA workflows. Every published asset — schema markup, content briefs, on-page copy, ad creative frameworks — is human-authored and personally reviewed by the founder. Nothing in this engagement was outsourced or auto-published to the site.
Engagement delivered by MAD1SON FOUNDRY — founder-operated SEO, AEO, GEO, and paid media across San Diego, New York, and Mexicali. Methodology questions welcome: book a 30-minute call.
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