Case Study How We Grew an E-Commerce 245% in 9 Months (1)

Case Study: How We Grew an E-Commerce Store’s Organic Revenue by 245% in 9 Months

The client — a Pakistani e-commerce brand in the home & lifestyle category, name withheld under NDA — came to us with a familiar profile: PKR 4M+ monthly revenue, 85% of it from Meta ads, and a website that Google treated like it didn’t exist. When ad costs jumped in Q4, margin evaporated overnight. The brief was blunt: build a revenue channel we own.

Nine months later, organic revenue was up 245%, organic sessions had grown 310%, and organic’s share of total revenue had moved from 9% to 31% — while ad spend stayed flat. Here’s the exact sequence, because the sequence is the strategy. It’s the same three-phase system we run across every SEO services in Pakistan engagement: technical remediation first, money pages second, content at scale last. Reversing that order is why most ecommerce SEO fails.

Starting Position

MetricMonth 0
Organic sessions/month~14,200
Organic revenue share9%
Keywords in top 1038
Indexed pages3,900 (of ~1,200 real pages)
Revenue dependence on paid85%

The audit surfaced three compounding problems:

  1. Index bloat. 3,900 indexed URLs against 1,200 real pages — faceted filter URLs, tag pages, and dozens of cloned COD ad landers all indexed and competing with the pages that mattered.
  2. Zero collection-page substance. Every collection page was a product grid with a default meta title. The store’s most rankable assets were blank.
  3. Supplier-copied product descriptions shared word-for-word with a dozen competing stores.

Phase 1 (Months 1–2): Technical Remediation

No content was written in the first eight weeks. The foundation had to stop leaking first:

  • Noindexed all faceted/filter URLs, tag archives, and 41 COD ad landing pages that were cannibalizing product rankings
  • Consolidated duplicate product URLs to canonical paths and fixed internal links pointing at collection-scoped variants
  • Cut mobile load time from 6.8s to 2.9s: WebP conversion across 2,400 images, removal of 9 abandoned apps, theme script cleanup
  • Deployed Product, Organization, and FAQ schema; review stars began appearing in results by week 6
  • Rebuilt the 404 map — 130+ dead seasonal collection URLs from two years of Eid/11.11 campaigns were 301’d to parent categories, recovering their accumulated equity

Result by end of Month 2: indexed pages down to ~1,150 (clean), impressions already up 40% with no new content — Google was finally seeing the store instead of the noise.

Phase 2 (Months 2–4): Money Pages

Money Pages

With the foundation clean, we rebuilt the 25 highest-opportunity pages, prioritized by (search volume × commercial intent) ÷ difficulty:

  • 18 collection pages rewritten with buying guidance, PKR price-range content, and handwritten metas targeting “[category] price in Pakistan” patterns
  • 7 hero product pages with original descriptions answering the COD-buyer objections directly: delivery timelines by city, check-then-pay policy, return process
  • A review app with photo reviews launched; within 90 days, 400+ reviews were feeding rich snippets
  • Internal linking rebuilt so every blog-to-be had a defined money-page target

Result by end of Month 4: top-10 keywords from 38 → 112. The flagship collection page moved from position 28 to position 4 for its primary “price in Pakistan” keyword.

Phase 3 (Months 4–9): Content at Scale

Content at Scale

Only now — with technicals clean and money pages live — did content production start:

  • 2 buying-intent guides per week (“how to choose,” “X vs Y,” price guides) each linking to its matching collection
  • A glossary and size-guide layer capturing long-tail informational queries
  • Digital PR: product roundups and expert commentary placed on Pakistani lifestyle blogs and news sites — 34 referring domains added, zero paid links, zero Rs. 10,000 “guest post package” spam
  • Answer-formatted content blocks added for AI search surfaces — by month 8 the brand was appearing in AI Overview citations for two category queries

The Numbers at Month 9

MetricMonth 0Month 9Change
Organic sessions/month14,20058,300+310%
Organic revenue/monthPKR 360KPKR 1.24M+245%
Keywords in top 1038340++795%
Organic revenue share9%31%+22 pts
Blended CAC−28%

The number the founder cares about isn’t in the table: when Meta CPMs spiked again in month 7, monthly revenue didn’t move. The business had a second engine.

Why This Worked (And Where Most Stores Fail)

  • Sequence discipline. Content published onto a broken foundation is wasted budget. Technical → money pages → scale. Every time.
  • Deletion before creation. The biggest early win was removing 2,700 junk URLs, not adding anything.
  • COD landers separated from SEO pages. The performance team kept their aggressive ad landers; SEO kept clean canonical pages. Both channels grew instead of fighting.
  • Commit less, deliver more. We committed to 150 top-10 keywords by month 9 and delivered 340+. Conservative targets, aggressive execution — the reverse of how cheap SEO packages operate.

Could Your Store Do This?

The honest answer: only if the same conditions hold — a real product, willingness to fix technical debt before chasing content, and a 6–9 month horizon. If someone promises this in 30 days for Rs. 10,000/month, they’re describing a scheme, not a strategy.

If the conditions do hold, this playbook transfers. Start with the free audit — we’ll show you your version of the “3,900 vs 1,200” problem before any commitment. See our full ecommerce SEO services or go straight to the tactical guides in this series: the Daraz listing optimization guide and the Shopify SEO checklist for Pakistani retailers.

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FAQ

How long did results take to appear?

Impressions moved within 8 weeks (technical cleanup alone). Revenue-relevant ranking gains started month 3–4, compounding through month 9.

What was the biggest single lever?

Index cleanup. Removing 2,700 junk URLs — including 41 indexed COD ad landers — did more in 60 days than any content could have.

Did the store stop running ads?

No. Ad spend stayed flat; organic grew alongside it. The goal was reducing dependence, not abandoning a working channel.

Is 245% typical?

No result is guaranteed and starting points vary enormously. What’s repeatable is the sequence — stores with similar untapped technical debt and blank money pages have the most room to move.

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