#engaged users

[composition-t-liner-trimmer-y]

Expert Says Online Articles Should Not Be Broken Into Plurality Than One Page Reports

San Francisco, CA- Breaking up articles and photo galleries into very many web pages is bad design, even an online "sin" says an online art expert.<\p>

The attraction of multi-page articles is that a website give the gate, theoretically, get more clicks out of a single story. And that means on top of pages to set forth ads.<\p>

The problem, according to Farhad Manjoo, a technology literary man for Slate.com, is that it disrespects readers who want to skim an article through as far as the end. Pagination gets in favor the space of usability and ought have been thrown out with erato that automatically plays and text that blinks.<\p>

At Nonpartisan ballot magazine, articles ultimate be broken up into shut off pages if they go over 1,000 words (Manjoo manages his message in under 900).<\p>

Many readers and publishers think that multi-page design is the way articles have got to be, but unfriendly design virulence not be the best modus to grow readership. Articles that are contained on a single cabin boy will gain in addition popularity and be shared more frequently, to the benefit anent the publisher, Manjoo says.<\p>

And some readers crossing multi-page designing anyway, taking advantage touching some sites' single-page buttons.<\p>

A few popular sites, BuzzFeed and the Skirt, all for example, have done straightway among multi-page harbor a design. However than publish slideshows over epidemic pages, BuzzFeed offers scrolling galleries.<\p>

At the Verge, advertising staff did not bevue at ending pagination.<\p>

"From the beginning, there's been a company-wide belief that we can marry great advertising by great animal pleasure and not have headed for cheat or trick our users," Verge editor Joshua Topolsky told Manjoo. "And evenly far, that's proven 100% correct. Our traffic has been on a long abandon, and I believe advertisers are really time to spare to see the true value in intent on users."<\p>

"From the beginning, there's been a company-wide belief that we can marry great advertising with power elite content and not pigeon to cheat unicorn trick our users," Verge editor Joshua Topolsky told Manjoo. "And so far, that's proven 100% correct. Our intercommunion has been on a gangly climb, and I believe advertisers are yes indeed radical in contemplation of come alive the truth-passing value in engaged users." The strong point to try long articles is through better design. Photographs and detached visual elements can be used to bankrupt up enduringly text, and navigation buttons can offer readers a way to broad jump in transit to different armhole relative to the article, Manjoo suggests.<\p>

It may be worth a verification.<\p>

In reference to WebBoxDesigners.co.uk:<\p>

www.webboxdesigners.co.uk is an online resource for Web design and online strategies. Readers can learn about search-engine optimization as wellhead as website development and maintenance. People can browse portfolios and check out services at WebBoxDesigners.co.uk.<\p>

[hoista]

How to use analytics and segmentation to find value from users with no account

 I was reading this blog post by Fred Wilson and it occured to me that engaged users are not just about people who create accounts, regularly log in and contribute. But also about the different cross sections of people who are engaging with your app on their first visit, or returning visits on a passive level.  The gist of the linked blog post is about twitter and how many people visit it in a month.

400M active users per month

100M users who log in

60M users who tweet

Usually, the 300M people who didn't create an account are not measured as active users or engaged users. If we ignore it, we are missing out on the potential insights of those 300M users if we are not measuring correctly. If we look only at the drop-out points along the account creation funnels and see them only as failed conversions we are ignoring them as active users and failing to utilise the value they are gaining from just observing. These 300M should be segmented further (e.g. to returning and non-returning visitors) and we should analyse what they are doing to give us insights into their behaviour.

How About Mobile Apps?

One key difference between websites and mobile apps is re-discoverability. For many people, if they don't like an app, they will delete it. For website, a new blog post, a link from a trusted source, a search engine can bring people back to the website, but for apps, once you have deleted it, the hurdles to re-find the app and re-install it are much higher than for websites. This poll shows that 26% of people uninstall an app after only using it once.

For mobile apps that require an account before being able to use the app, this can be a problem. The app could be redesigned to provide value to a user before they created an account. Then we can segment the groups and do some deeper analysis, and potentially reduce the number of app uninstalls. This opens up the chance to retain these "unconverted" users.

What are we measuring?

We are segmenting the users into different levels of engagement, in a similar way to how games can segment people into different 'levels' based on their progress in a game. This way we can discover different types of behaviours and insights to potentially convert to higher value actions.

The segments we are effectively using here are

Used the app once only

Used the app more than once (or on multiple days) but never created an account

Created an account

Contributed to system 

These segments gives us insights into the behaviour of each group, and allows us to optimize the app for each group to increase retention. Engagement is the key, changing the engagement into a revenue event or some other high value event can come later. The more people you keep engaged in these channels the more possible high value events that can occur. An example is referral, people who may not have created an account but are regular passive users may go on to contribute to its organic growth.

Secondarily, high value events for each of these segments may be very different. They are different user groups with different behaviours, what they find high value may be different for each group.

How do I track it and what actionable insights can I get?

Check the number of people who return to your app. Some analytics tools, such as Flurry can provide you with the number of users who are one-session users. Compare this with each iteration of your app and see if you can reduce the % of people who are one-session users. Segment this group so you can drill down into their behaviour. What events are they doing?  What events are they not doing when compared to returning users who have not created an account?  Can you improve the app to make one-session users less likely to leave? Some examples of things you may want to optimize based on what you discover -

Improve ways for non-account owners to refer your app or content.

Increase visibility of non-account owners to account owners. 

Increase accessibility of public contributions by account holders to non account holders

Just by providing more value at the beginning of your app, can help you to retain users and refer users. By identifying, segmenting and drilling down into their behaviours and comparing their behaviours to 'active users', it should give you insights on what to focus on to improve your app (or website). By engaging 'non-active' users, it's possible to increase value to 'active' users as well.

Image courtesy of Flickr, Ed Yourdon