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Cyber Monday Is Going Mobile: What Does This Mean for You?

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ipad-lineIf you haven’t already perfected the functionality and ease of use for your mobile application, now may be the time. That’s because AppLovin is predicting that nearly 30 percent of Cyber Monday transactions this year will happen on mobile devices. Just four years ago, mobile transactions represented only 2 percent of Cyber Monday buying. However, the proliferation of smart devices and surge of mobile e-commerce platforms has caused mobile shopping to surge.

So what does this mean for your e-commerce platform? Let’s take a look:

  • Test Your Application: Before Cyber Monday rolls around, you’ll want to understand how your application works across the different OS platforms and devices. See how your application performs on a range of devices, outdated pieces of software and on-location to get a real feel for how your users will experience your platform. Keep in mind that, if your application is latent or buffering, you may want to consider application hosting via a third-party provider.
  • Determine Your Traffic Source: Just because market research says we will see a surge in mobile traffic does not mean that will be the case for your industry. So, before you put all your resources toward improving your mobile application, take a look at your historical figures. Determine how much business was conducted via mobile devices last Cyber Monday and how much occurred on your website. Make sure your website is operating efficiently and expediently. After all, you can’t afford to have a fully optimized mobile app but a delayed website if most of your traffic is still arriving via the Web.
  • Check Speeds: There’s no faster way to lose customers then to have slow load times. So, check load time on each and every page, especially your shopping cart page. Just one extra second of delay could be enough to drive your customers right to your competition. So, be sure to check your speed times for both off- and on-peak periods. After all, your website might perform fine during normal traffic patterns but suffer once traffic spikes.

Did we miss a step? Let us know in the comments below!

 

 



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