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BigCommerce Adds Image Optimization Technology to Merchant Stores

BigCommerce

BigCommerceMerchants who host ecommerce stores on BigCommerce now have access to image-optimization tools as part of their subscription. The Akamai Image Manager is a cloud-based solution that helps merchants by decreasing page load time, which can help with Google SEO.

Press release follows:

BigCommerce announced that it has chosen Akamai, the world’s largest and most trusted cloud delivery platform, to provide Akamai Image Manager to its 55,000+ BigCommerce stores around the world. As part of the agreement, BigCommerce customers will immediately gain access to Akamai’s automated image optimization technology.

“Retailers are constantly in search of ways to improve the performance of their storefront, which has become increasingly difficult as ecommerce websites incorporate more functionality and imagery to engage shoppers,” said Brian Dhatt, chief technology officer at BigCommerce.

“Google’s recent decision to include mobile page load speed as a factor in search rankings further emphasizes the importance of a high-performing storefront, and through Akamai Image Manager we are equipping BigCommerce merchants with another powerful tool to maximize conversion and deliver world-class experience to their customers.”

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According to data from Akamai, a two-second delay in web page load time increases bounce rates by 103 percent, and 53 percent of mobile shoppers will leave a page that takes more than three seconds to load. With Akamai Image Manager, BigCommerce merchants will have the ability to optimize each online image for device type, image quality and download size, resulting in faster page load times, an engaging customer experience and improved website conversion.

BigCommerce merchants using Akamai Image Manager as part of a closed beta saw as much as 70 percent improvement in site load times. Additional benefits to merchants include:

– Automatic image conversion. Detect and instantly convert online images to software-specific image formats to capitalize on advanced levels of compression provided through WebP, JPEG-XR and JPEG 2000 native to popular operating systems and browsers.

– Intelligent image delivery across devices. Automatically deliver resized, mobile-optimized images to mobile shoppers, reducing large files that slow site performance and significantly decreasing the amount of time spent personalizing image variants.

– Faster page load speeds. Using Akamai’s perceptual quality algorithm, Image Manager lightens the weight of digital images while maintaining the improved gains in performance, especially when viewing sites from a mobile device. Additionally, better performance leads to higher mobile usage and increased conversion rates.

“The decision to move to the Akamai Image Manager network has been a boost to our merchants, enabling them to deliver faster site load times and strengthen their overall mobile site performance,” said Frank Morrall, president at VisionCourse Media, an online marketing and design agency, and a BigCommerce partner. “What’s more, merchants did not have to invest costly time and effort to further develop optimized images for different devices, leading many to see an increase in site engagement and conversion – especially for mobile shoppers.”

Akamai Image Manager is now available as part of the comprehensive BigCommerce package to all merchants using Stencil, BigCommerce’s new storefront design framework. To learn more about Akamai Image Manager and other performance optimizations features available to BigCommerce merchants, visit: https://www.bigcommerce.com/features.

SOURCE: BigCommerce Press Release

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Ina Steiner
Ina Steiner
Ina Steiner is co-founder and Editor of EcommerceBytes and has been reporting on ecommerce since 1999. She's a widely cited authority on marketplace selling and is author of "Turn eBay Data Into Dollars" (McGraw-Hill 2006). Her blog was featured in the book, "Blogging Heroes" (Wiley 2008). Follow her on Twitter at @ecommercebytes and send news tips to ina@ecommercebytes.com.