Saturday, December 27, 2014

IBM reveals the differences between iOS and Android Christmas spending habits

IBM has been digging into the data to reveal some of our Christmas shopping habits over the holiday season, and as we’ve seen before it was iOS users who accounted for the bulk of the dollars spent over Christmas, despite Android’s larger share of the market in terms of device numbers. Out of all the online browsing done on Christmas Day on any platform, 57.1 percent of it was done on a mobile device, a rise of 18.6 percent over the same day in 2013.

As far as purchases are concerned, online sales were up 8.3 percent over the same period on Christmas Day 2013, while mobile sales went up 20.4 percent. Taking everyone who bought something online on Christmas Day into account, the average order value was $100.33, a jump of 6.2 percent from the figure recorded in 2013.

We might spend a lot of time browsing on our mobiles, but when it comes to actually clicking the purchase button, desktops and laptops remain the most popular devices: 65.2 percent of all online sales on Christmas Day were made from a computer Web browser. Consumers also spent more money on desktops and laptops than on mobiles, perhaps because we want a better look at those big ticket items before splashing the cash.

In terms of comparing smartphone platforms, iOS users spent more time online, bought more stuff and paid more for each item than those toting devices running Android. iOS traffic accounted for 39.1 percent of total online traffic for Christmas Day, more than double the 17.7 percent figure recorded for Android. Are Android users less well-off or just more interested in spending time with the family? IBM doesn’t speculate.

The company did look at the relative performance of Facebook vs Pinterest for driving sales, though, through its Smarter Commerce system. Pinterest edged the battle, with referrals averaging $99.86 per order as opposed to the $89.90 per order registered from Facebook referrals. You can read the full report via the IBM analytics hub.

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