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Posts Tagged ‘data’

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What Devices Did Read It Later Users Unwrap Over the Holidays? Here’s What the Data Shows

January 12th, 2012

A lot of happy people unwrapped new gadgets this holiday: Device registrations for Read It Later jumped 148 percent from November to December—a bounce for all the devices and platforms we support, including the iPhone and iPad, Android, Kindle Fire and Firefox extension.

Which device saw the biggest jump?

This holiday it was the Kindle Fire—12.5% of all devices registered on Christmas day and an impressive 17% of new users on the day after Christmas were from the new Amazon device. As you can see below, the Kindle Fire is still quite a bit smaller than our Android and iPhone/iPad audiences (it’s also the only platform with no free version yet). As we recently discussed with Om Malik, it will be interesting to see how that adoption grows over time.

The Kindle Fire jump is more pronounced when you look at the devices activated by first time Read It Later users:

Android Users Go Pro

We also saw some interesting data from the Android platform this holiday. While some have claimed that Android users aren’t interested in paid or premium apps, 45% of Read It Later’s Pro users during the holidays came from Android, and 19% came from the Kindle Fire.

Of Read It Later’s Android users who registered their device during this period, 46% opted for the Pro version during this period, compared to 25% of the iOS user base going Pro.

Read It Later’s Goal: Support for Any Device

Our holiday data serves as another nice reminder that Read It Later users own many different devices—and their preferences for these devices can change over the months and years. They should be able to access their content wherever they are, or whatever they own, and our goal is to offer the broadest support possible—no matter what you unwrap next year.

Posted in Trends , Android, data, devices, iPad, iphone, Kindle Fire, Trends

More from Our ‘Most-Read Authors’ Report (and Why Bylines Matter)

December 14th, 2011

The response to our report last week on the “most-read authors” in Read It Later was incredible. One thing is clear: We can learn a lot about the value of great content, outstanding writing and what resonates with people by paying close attention to who’s creating it, and how readers are consuming it. We’re now at 4 million readers and viewers—the largest time-shifting platform on the web—and we feel a responsibility to show how content accessibility can change the way we enjoy what’s out there.

Some notes from last week’s coverage: The New York Times’ David Carr and others reported on our “most-saved” authors, as well as the new concept of “return rates.” That is: It’s not just which authors our users saved, but which authors they returned to. That can say a lot about loyalty to a byline, and the longevity of what they create.

Most-Read Authors: Not the Same as Most-Read Publishers

It’s important to add that our data reflected only the most-saved and ‘most-read’ authors—not the most-saved publishers. As you’ll see soon, Read It Later’s most-saved publisher list is quite different than who ranked highest on our author lists. For example: While Lifehacker’s individual authors were top-ranked on our most-saved authors list, The New York Times is five times more popular overall as a publisher.

One reason has a lot to do with the sizes of various publications’ editorial staffs. The New York Times has hundreds of writers, so their engagement is spread across many different bylines.

Gawker Media properties all did extremely well in the most-read authors report, and there were some fascinating examinations of why Lifehacker ranked atop the “most-saved authors” list, while Deadspin ranked at the top for “highest author return rate.” But why did Gawker Media do so well? Again, look at the Gawker Media mastheads. Small staffs, high volume of traffic.

The Power of ‘Return Rates’—and the Writer’s Voice

The New York Observer’s Foster Kamer also noted some interesting similarities among the writers with the highest return rates—they all have strong, very distinct voices, which suggests a loyalty to the individual writer that we’ve always guessed was true, but could never quite quantify.

Kamer also had a very funny take suggesting all those Lifehacker people saving their to-do lists were not actually getting around to crossing anything off their lists. But actually, most Lifehacker authors had above-average return rates. So maybe our users are pretty productive, after all.

Finally, Nieman Lab’s Megan Garber had a sharp take on what engagement looks like in a time-shifted world, and we think this underscores what’s so interesting and important about “Return Rates” as a way to judge depth, longevity and loyalty to an author, publisher or topic. Many of our highest-return rate authors came from the category of sports, TV, and politics. But there’s a lot more to explore in terms of how those categories resonate in terms of reader loyalty.

More than anything, we hoped last week’s report would start a whole new conversation about how we measure the quality of what’s on the web: After all, it’s the content, created by writers, editors, producers and publishers, that make people so passionate about time-shifting.

Through transparency we at Read It Later hope to give them more insight into how their work is enjoyed. We will continue to share what we know with our users.

Posted in Trends , authors, data, publishers, Read It Later, Trends

Trends

Trends explores the data behind Read It Later in search of answers about online and mobile reading.

Dataset: One of the world's largest digital reading platforms, RIL's 4M registered users have saved over 150 million articles and read on every major web and mobile platform.

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