Case Studies/VitalCore Nutrition
Case Study

How VitalCore Nutrition Finally Knew Which Dollar Was Making Money

A US supplement brand was spending big on ads but flying blind on profit. We built them a custom analytics SaaS — and changed how they run the business.

$11K

Monthly ad waste eliminated

28%

Subscription retention increase

6 weeks

Full SaaS live

3 platforms

Unified into one dashboard

Industry: DTC Supplements & NutritionLocation: Austin, Texas, USATeam: ~15 employeesRevenue: $2M–$4M annually
Channels: Shopify · Amazon USA · Meta Ads · Google Ads

The Problem

Revenue was growing. Profit was a mystery.

📊

ROAS Looked Great. Profit Didn't.

Meta and Google dashboards showed strong ROAS numbers. But after accounting for COGS, fulfillment, and returns — actual margins were unclear. The team was optimizing for the wrong number.

🛒

Shopify vs Amazon — No Comparison

The brand sold on both channels but had no way to see which was actually more profitable. Amazon fees, FBA costs, and ad attribution were all in separate places.

🔄

Subscription Churn Was Invisible

Subscribers were canceling quietly. No alerts. No patterns. No way to intervene before it happened. The team only saw churn in hindsight — on monthly revenue reports.

Decisions Made on Gut, Not Data

Every week, budget decisions were made based on vibes and outdated spreadsheets. There was no live view of what was working, what wasn't, and where to move money.

What Shopex Built

A custom analytics SaaS — built for their exact business, not anyone else's.

01

Unified Data Layer

We connected Shopify, Amazon Seller Central, Meta Ads, and Google Ads into one live data pipeline. Every sale, every ad dollar, every return — one source of truth.

02

True Profit Dashboard

Real ROAS calculated after COGS, platform fees, fulfillment, and returns. For the first time, they could see actual profit per channel, per product, per campaign.

03

Shopify vs Amazon P&L View

A side-by-side profitability view comparing both channels — net margin, best-selling SKUs, return rates, and ad efficiency. Updated in real time.

04

Subscription Health Tracker

AI monitors every subscriber. Churn risk scores updated daily. High-risk subscribers trigger automatic win-back flows before they cancel.

05

Weekly Insight Report

Every Monday, a plain-English summary of the week lands in their inbox — what worked, what didn't, where to move budget. No spreadsheets. No manual work.

The Results

Six weeks to build. Immediate impact.

$11,000/mo

In wasted ad spend identified and eliminated

Within 30 days of going live

28%

Subscription retention increase

After AI churn alerts started catching at-risk customers early

2 channels, 1 truth

Shopify vs Amazon profitability compared in real time

Budget moved to where it actually worked

6 weeks

Full custom SaaS — built and deployed

Data pipeline, dashboard, tracker, and weekly reports

Want Clarity Like This in Your Business?

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