Increased Jebinde's Organic Traffic by 25.000%!

While creating a roadmap, we decided to manage technical and content-oriented projects simultaneously:

• • 📌 We prioritised taking the necessary steps for Google’s robots to crawl and index our website seamlessly. Our analyses in this direction revealed that all HTTP protocols of our brand were open and Google robots were crawling all different URL variations. We realised and solved this first problem.
  • 📌 Since our category and product pages were not canonical URLs, all our other weak URLs continued to be crawled. To reduce crawls and achieve healthy results in SERP, we developed our canonical tag project. In this way, we created unique pages using canonical URLs on pagination and other filtered pages.
  • 📌 We started our improvements by optimising the crawl budget, which involved reviewing the brand’s crawled pages. We realised that we had too many URLs with parameters crawled with the (200) code and disallowed all unnecessary crawled pages from robots.txt to prevent them from being crawled.
  • 📌 Another important factor that we needed to pay attention to get more visibility and clicks for our brand in organic results was our mobile and desktop speed performance. As a result of extensive analysis, we realised that we had lower speed scores than our competitors and that Google bots performed excessive query processing while crawling our pages. To both improve the user experience and enable Google bots to crawl faster, we optimised our page response times by compressing large CSS and Javascript files. 

While continuing the technical improvements of the brand, we also started our content projects. 

• • 📌 First, we started the process by adding content to our category pages and then we activated the blog page. 

After providing regular and informative content entries to the blog page, we have achieved over 1M impressions in the last 6 months.

• • 📌 Image alt text projects were completed to gain visual traffic to the products.
  • 📌 Structured Data project was carried out by realising the brand’s lack of product results & product snippets, and other structured data. Since it is an ecom brand within the structured data study, structured data (Rating, Reviews, Product Offer, Product Price) were added. 

While continuing the technical and content improvements of the brand, we also started our data projects to use data for the content part and to see the final result correctly. 

• • 📌 We could not measure any step on the website, from which products the user viewed to which product he purchased. To start, we replaced Universal Analytics with GA4, and by installing Enhanced E-Commerce, we could track all the steps in the user’s product purchasing process.

After this setup, we created lists of the products that users looked at. Instead of a 5M URL list containing too many queries in the Search Console, we extracted the products from this list and used this data in our content strategy.