All cases
E-commerce · Auto parts
10 months
Auto-parts store: organic traffic scaled from 8,400 to 84,200 sessions/mo (+902%)
Client: National auto-parts retailer
Organic traffic
8,400 → 84,200
sessions per month
Growth
×10
+902%
Queries in TOP-10
240 → 2,950
1,840 in TOP-3
Business result
+340% revenue from search
How the traffic grew, month by month
Organic sessions
Queries in TOP-10
| Month | Sessions | TOP-10 queries |
|---|---|---|
| M1 | 8,400 | 240 |
| M2 | 9,800 | 310 |
| M3 | 14,200 | 520 |
| M4 | 22,100 | 840 |
| M5 | 34,500 | 1,120 |
| M6 | 48,900 | 1,490 |
| M7 | 61,000 | 1,980 |
| M8 | 72,400 | 2,340 |
| M9 | 79,800 | 2,680 |
| M10 | 84,200 | 2,950 |
Hover or tap the chart to see the numbers for each month. Source: Google Search Console / GA4.
-
01
The problem
After moving to a new CMS, traffic collapsed: old URLs were not redirected, make and model filters generated tens of thousands of duplicates, and the backlink profile was weaker than competitors’.
-
02
What I did
- Keyword map of 18,000+ commercial queries
- Automatic SEO-friendly filter URLs for 450+ car makes
- 40,000 duplicate and broken pages removed from the index
- 120+ quality outreach links from automotive sites (DR 45–78)
- Deep keyword clustering by engine variants, OEM codes and car generations
- Canonical optimisation for pagination and filters
- Mobile Core Web Vitals: LCP reduced from 3.8s to 1.1s
- Expert buying guides with cross-linking to products
-
03
The result
- Traffic grew tenfold without dependence on paid Google Ads
- Customer acquisition cost (CAC) dropped by 68%
- TOP-3 leadership in Google for high-volume part queries
Key insight
Eugene Pakharenko
In auto parts, demand lives in the long tail — “make + model + part”. So the main bet was a scalable landing-page structure, not a dozen high-volume keywords.
Eugene Pakharenko