Work/E-commerce/US

Data-Driven Content System for E-commerce

An e-commerce company's blog was based on gut feeling. We built a system that looks at search data to find what people are actually looking for, then helps produce articles that rank.

Content AutomationSEOAnalytics
Analytics dashboard showing content performance.
The problem

The team published 2-3 blog posts a month based on what seemed relevant, with no connection to search demand. Organic traffic had been flat for 18 months. They knew they needed more content but couldn't justify hiring writers without evidence it would work.

What we built

We built a content platform that pulls data from Google Analytics, Search Console, and SERP tools to find keyword gaps, declining pages, and competitor opportunities. It ranks topics by traffic potential and difficulty. AI generates first drafts optimized for target keywords, with meta descriptions, internal links, and image alt text. A dashboard tracks how each article performs.

What changed

They went from 2-3 articles a month to 12-15. Organic traffic grew 156% in 6 months. 23 articles reached page one within 90 days. The team could finally see which content was driving revenue.

Results

What happened

  • ·Organic traffic up 156% in 6 months
  • ·Publishing went from 3 to 15 articles per month
  • ·23 articles reached page one within 90 days
  • ·Clear attribution of content to revenue
Organic Traffic
Up 156%
Publishing Volume
3 → 15/month

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