E-Commerce Technical SEO: 230% Organic Traffic Growth in 90 Days
An e-commerce client in Bangladesh came with near-zero organic presence. In 90 days, structured technical fixes, content optimization and strategic keyword targeting drove a 230% increase in organic traffic.
Over a focused 90-day engagement, an e-commerce site went from near-zero organic presence to 230% organic traffic growth, moving average search position from #42 to #11 and adding 180+ keywords into the top 10. The work centered on fixing 400+ crawl errors, cutting Largest Contentful Paint from 6.2s to 2.1s, and rebuilding product/category pages around real keyword intent with schema markup.
Where Things Stood at the Start
What We Actually Did
- Full Screaming Frog crawl — fixed all 4xx errors and redirect chains
- Core Web Vitals optimization — LCP from 6.2s to 2.1s
- Product & category page keyword mapping & rewrite
- Product schema, breadcrumb schema, and FAQ schema added
- Internal linking restructure across 200+ pages
Why This Order
Crawl errors and redirect chains were fixed first because they were actively blocking Googlebot from reaching pages that should have been ranking — no amount of content work matters if the crawler can't consistently reach the page. Core Web Vitals came next since LCP above 2.5s is treated as "poor" under Google's page-experience thresholds and directly weighs into ranking, not just user experience.
Keyword mapping and schema markup came after the technical base was solid, so the newly-crawlable, newly-fast pages had accurate, structured signals to rank on rather than generic boilerplate copy. See the Core Web Vitals guide and technical SEO checklist for the general playbook this follows.
Measurable, Verified Outcomes
| Metric | Before | After |
|---|---|---|
| Avg. Search Position | 42 | 11 |
| Crawl Errors | 400+ | 0 |
| LCP (Largest Contentful Paint) | 6.2s | 2.1s |
| Keywords in Top 10 | ~0 | 180+ |
Common Questions About Technical SEO
In this engagement, the 230% traffic growth played out over 90 days, but the pattern is typical: crawl and indexing fixes tend to show movement within 2-4 weeks as Google re-crawls the site, while the compounding effect of schema, keyword mapping, and internal linking builds over the following months. Sites with severe crawl issues (400+ errors, as here) often see the fastest initial jump simply from becoming crawlable again.
Core Web Vitals — particularly Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) — are part of Google's page experience signals. A page scoring "poor" on these metrics (LCP above 2.5s, as this site was at 6.2s) can be at a disadvantage against otherwise-equal competitors with a faster experience.
Crawl errors (4xx pages, broken redirect chains) prevent Google from even reaching or properly evaluating a page — it's a discovery/access problem, not a quality problem. Ranking issues assume the page is already indexed and being evaluated on its merits. This site had both, which is why crawl errors were fixed first: there's no point optimizing a page's content if Google can't reliably reach it.
It's not strictly required for indexing, but Product, Breadcrumb, and FAQ schema give Google structured, unambiguous signals about price, availability, ratings, and page hierarchy — which supports rich results (star ratings, price snippets) in the search results and can meaningfully improve click-through rate even without a ranking-position change.
Key Takeaways
- Fix crawlability before anything else — content and keyword work is wasted if Googlebot can't reliably reach the page.
- Treat Core Web Vitals as a ranking factor, not just a UX nicety — LCP over 2.5s is a real disadvantage.
- Layer schema markup after the technical and content foundation is solid, not as a first step.
- Internal linking restructures matter at scale — 200+ pages is enough for link equity distribution to meaningfully affect which pages rank.
Want results like these?
SEO, Meta Ads, or both — let's build your next case study together.