E-commerce Growth Automation System

A growth operating system for product research, campaign planning, creative testing, customer follow-up, and performance reporting, designed to keep e-commerce growth activity in one connected routine rather than scattered tools.

E-commerce teams typically run paid campaigns, customer follow-up, and reporting as separate efforts, which makes it hard to see how creative decisions, spend, and follow-up connect to actual outcomes.

Campaign briefs, offer tests, and reporting are not structured consistently, and there is no routine connecting marketing activity to CRM follow-up or content production.

A structured operating rhythm: campaign briefs and audience hypotheses defined up front, offer and creative tests run on a schedule, and automated reporting on spend, revenue, conversion rate, and customer acquisition cost feeding a weekly optimization routine. Marketing tasks are connected to CRM follow-up so customer response feeds back into planning.

• Small e-commerce teams running Meta and TikTok campaigns
• Founders managing growth without a dedicated media buyer
• Teams that need marketing and follow-up data connected instead of siloed

1. 1

   A campaign brief is drafted with audience hypotheses and offer variants

2. 2

   Creative tests run against the defined audiences

3. 3

   Performance data is pulled from ad platforms and GA4 into a reporting sheet

4. 4

   A weekly review compares results against the brief and sets next actions

5. 5

   Customer responses and follow-up tasks are logged back into the CRM workflow

• Structured campaign briefs and audience hypotheses
• Automated reporting on spend, revenue, and conversion rate
• Weekly optimization routine
• Connection between marketing tasks and CRM follow-up

The system connects Meta Ads and TikTok Ads campaign data with GA4 and Shopify-concept storefront data, using n8n to automate data pulls into Google Sheets, where campaign briefs, test results, and the weekly optimization routine are tracked.

• Scheduled n8n workflows pull spend and performance data from connected ad platforms
• Reporting sheets calculate conversion rate and acquisition cost automatically from raw data
• Weekly review tasks are generated from the previous week's results

• Ad platform and analytics access uses scoped, revocable API credentials
• Customer data referenced in follow-up tasks is limited to what is needed for the specific action
• Reporting exports avoid including unnecessary personal customer information

• Keeping campaign briefs structured enough to compare results consistently over time
• Connecting marketing and CRM data without duplicating effort across tools
• Designing a weekly routine that is thorough without being too time-consuming to sustain

• Centralizes campaign, storefront, and follow-up data into one reporting routine
• Keeps creative testing structured instead of ad hoc
• Connects marketing outcomes to CRM follow-up

• Designed and planned as a portfolio system rather than run against live ad spend
• Reporting automation currently targets Google Sheets rather than a dedicated dashboard
• Test structures would need calibration to a specific store's catalog and audience

• Move reporting into a dedicated dashboard with trend visualization
• Add automated anomaly flags for spend or conversion-rate shifts
• Expand the creative-testing structure with a template library