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Weavetech

Search engine optimisation for textile machine manufacturing company

The project

Webmantra had created a Weavetech Engineering previous website and had got an opportunity to take it the next level in terms of look and feel, product flow and search engine optimisation.

VISIT SITE

The Challenge

Client have given the reference websites of the best of the global textile machine manufacturing companies and website of different industry as per their liking of look and feel. We have to make sure that the apart from UI, we had to take care of the flow of the website in such that user experience remains good and SEO compatible.

The Solution

Team Webmantra reviewed all the reference websites and came up with the custom design flow from home page to product category to end product detail page. Whole design flow got approved followed by the responsive html and backend admin. While the frontend and backend was getting integrated digital marketing team understood the product categories and applications of the client and started competitive analysis to create ON Page document for the Website. As soon as products were populated over the site team setup the on page for the same and submitted the sitemap. Also website had a previous presence so digital team made sure that links already indexed over the google got the redirect to the right pages and no links were left with page not found error.

Features

This project is custom designed and developed taking care of the global audience.
Product flow and end product information page has all the information the user needs with CTAs for inquiry has been places very intuitive so user can easily put up the request for quote.
Website has other facility to add the client and news/ events by admin. Also they can grab the career application submitted by the prospective candidates and download in excel file.
Apart from development side, all social media assets, Google Tag manager, Google analytics and hotjar has been setup to have complete understanding of user journey and analysis of the google statistics.