How related content recommendations keep users engaged

You liked that article you read on Medium.com written by a teen about what teens think of the various social media–site options. Hey, would you also like this one by a 60-something about what Baby Boomers think of Facebook?

Similar-content recommendations that appear as you’re browsing online keep you intrigued and learning. They make you feel like online content providers such as video and TV show sites, newspaper publishers and writing sites, social media, job boards, and other-content-type hubs are attuned to just what you want. They make you wonder if even you may not be the expert on what you want to read, watch, or interact with, after all, sometimes they suggest related content you don’t think to look up. At any rate, if you consider yourself an information sponge or a budding expert on a topic, you probably go out of your way to look for related-content recommendations.

You’re a VIP

People like you are great news for companies that provide online content. If you’re following links around their site, you’re driving page views. The longer you’re doing that, the more likely you are to convert, such as by signing up as a member in order to read (or watch or listen to) more of that juicy content. Helping you find the content pages you need or want, and extending the number of minutes or hours you spend captivated, is their key to driving conversion. 

For content site owners, that’s where related content recommendations come in. When they can hit the nail on the head in terms of additional-content-recommendations functionality, it constitutes a compelling reason for you to stick around on their site, as well as to keep coming back and perhaps become a loyal member or subscriber.

What are related content recommendations?

Related content recommendations are links to similar relevant content based on the user’s search activity or other indicators. Think of a time you went online to find a new movie, and how the interface didn’t forget what you’d been searching for the week earlier; it recommended items that made you want to learn more. Or when you read that news article on the New York Times site, which then suggested an additional interesting article, which you devoured from top to bottom. 

How does related content generation work?

On the technical level, a recommendation engine analyzes the interactions of users alongside different items to draw links between those items. From there, it uses qualitative data to display related content recommendations.

But that’s just the beginning. The more inputs and actions (e.g., completed searches) a user logs, the more accurate their recommendations can become. In time, the search software builds a reliably  accurate personalized profile. So reliable that some people feel like it’s akin to an old friend who just “knows them.” And, well, that high-quality awareness easily leads to a lower bounce rate and solid long-term “friendship.”

The benefits of doing related content right

So far, so good. But many websites don’t come close to (or even attempt to shoot for) the online personalization levels that a megasite like Netflix does. That’s unfortunate, because more and more, consumers expect to be duly showered with related content suggestions.

Remember, your mission — should you choose to accept it — is to make people prefer to stay on your site and see what else you’ve got going on. The existence of related recommendations facilitates this worthy endeavor, which can then wildly elevate your site’s desirability.

As you can imagine from the gist of this post so far, there are many benefits, many of which have ripple effects, of setting up related content recommendations. Here are arguably the top three:

Delighted, grateful users 

Being offered the next investigative story in a series or the next related topic on a blog-post site, or the newest movie in the genre they love, draws people in. They warm to it and may remember how much they enjoyed the content. They bookmark your site and visit you often. You gain their undying loyalty.

Improved user engagement 

Phenomenal user engagement levels and a top-notch user experience go hand in hand. When related information recommendations are presented in the right way, site visitors can’t help but be enticed to trawl around your site, explore similar topics, and enrich their understanding.

Skyrocketing conversion

Recommending related content (whether in the form of regarding products, blog posts, news items, or something else) is a nice idea; it’s also one proven to drive conversion and revenue. As online retailer Gymshark discovered, with Algolia Recommend, they could increase their order rate 5.5% for customers who clicked on a recommended product. Plus, their order rate for mobile increased by an eye-popping 150%.

How to rock related content

OK, so you’re sold on the importance of doing this related content recommendation thing. But how do you get your site to cooperate? Can your users see a path to your related content from the content they just read or interacted with?

To get the best results from rolling out related content suggestions, keep in mind that:

Right is wrong

There’s a tendency for people online to perceive certain web page elements on the right side of the page as ads, and therefore ignore them (whether or not they’re ads). Yep, people have trained themselves to avoid being diverted to advertisers’ landing pages. Which means the right side is not the best spot for introducing related content.

The bottom is out

A web page template that relegates related content links to the bottom of the page is a losing proposition. Your users simply won’t see them  waaaay down there.

We’re ruling out options here. So where, then, is left to stick these things?

Merchandising experts advise websites to put them directly below the content (as opposed to at the very bottom of the page). This is the sweet spot where viewers are likely to cast their eyes; the jumping-off point for further content exploration.

Relevance is a requisite

If someone’s looking for news articles on climate change, they don’t want to see one about the Kardashians. If they’re looking at a cute rom-com flick, they probably don’t want you to suggest some depressing documentary.

Providing a broadly curated batch of links might seem sensible, but if the items are not related enough, they’re not going to get noticed. So even if you’re dying to promote some particular content, think twice if it’s not relevant. Folks have landed on your site for a specific content-driven reason, and now’s not the time to go off on a tangent. Give them your best related content menu.

Expert help is available

To make related content recommendations work, it helps to have technology capable of meeting your goal of building engagement and increasing conversion. Something easy to implement, adapt, and streamline to meet your users’ content needs. That way, whether people go straight to a content detail page or randomly click homepage headings, you’re confident that you’re offering the right suggestions. 

Our recommendation for you? Learn more

We’re glad you’ve taken a minute to check out this content that we hope will help you transform your site performance. Thanks for your interest!

And now for a few related content recommendations (and in the right location to boot):

You might also like

Benefits of providing great content recommendations

Why Algolia Recommend?

How to contact us