10 Ways to Improve Ecommerce Site Speed

Slow site loading time is a curse for retailers. Even a delay of 1-second can cost thousands to an ecommerce business owner.

Ecommerce Site Speed

We have come up with 10 ways you can increase the speed of an ecommerce site.

1. Reduce Page Size – The smaller the page size, the better. Wisely use images, JavaScript and CSS to build pages keeping load times in mind. Try to keep page loading time to 3 seconds or less.

2. Compress Data – Use Gzip or other software for reducing the size of the data sent to a browser. However, make sure that your customers use browsers compatible to compression software you are using to access information from your website.

3. Optimise Platform Configuration – Determine the available configurations to enhance page load times. Sometimes, minor tweaks lead to significant gains.

4. Consider Content Delivery Network–If you have customers’ worldwide, use a Content Delivery Network (CDN) to share content on servers. This will reduce load times.

5. Use Caching and In-memory Technology – Avoid unnecessary calls on the database through the use of caching or in-memory technologies. This tech stores data on a RAM available on the server offering faster load times and improved performance.

6. Change Image Dimensions – Specify height and width attributes for each image to help the browser create placeholders for the images. Also, this will help in altering image sizes for different devices.

7. Minimise Number of “Round Trips”- Combine multiple files in to a single file to reduce load times. This will enable access to all the files without making multiple trips to the server.

8. Monitor Site Speed – Monitoring the site speed periodically enables resolving issues proactively. There are many tools available to measure and diagnose site speed, such as Pingdom, Google Page Speed Insights and more.

9. Avoid Redirects – Remove redirects to increase load times.

10. Use Fast Hosting Servers – Ask your hosting provider to size the server based on peak user load, probable traffic growth in the coming year and memory requirements. Resize the server as per the requirements.

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