The main reason in the load ballast of your online store are large images and not optimized. With this module for PrestaShop, you will be able to optimize the images of your online store easily and simply, in addition to achieving a better user experience.
If you are concerned about optimizing your online store to offer a better user experience, reSmush Optimize Image for PrestaShop is what you were looking for. And is that, thanks to the ability to compress the images of your online platform, you can offer better load times and be among the top positions of the SERPs.
However, this is not your only virtue. In fact with low load times you can achieve a great user experience by not having to make a potential customer have to stay in your online store for more time than the account.
Before talking about all your benefits you will have to determine what is the degree of compression you can get in the images you have in your online store. For this, we offer you a link so you can carry out this task.
>>> Check the compression ratio of the images in your online store <<< Once the purchase is made, there will be no refunds.
Now that you know the degree of optimization of which parts, we will tell you everything that reSmush Optimize Image can offer you.
Before concluding it is interesting to add that reSmush Optimize Image has an optimization percentage lower than that of Kraken.io (approximately 10% to 20% for reSmush and 30% to 50% in Kraken.io).
As a final conclusion, it could be said that this module is essential if you need to improve the performance of your online store in terms of load times, you will not have to worry anymore, since each new image you upload will automatically be optimized for the system.
|2||20%||Up to 12,00 €|
|3||25%||Up to 22,50 €|
|4||30%||Up to 36,00 €|
|5||35%||Up to 52,50 €|
|6||40%||Up to 72,00 €|
[+] ADD: You can now display a detail of the images that have been optimized automatically when uploading.
[*] MOD: Changed to the new reSmush API URL.
- This new version of the module is fully improved for better control of optimized images.