The first goal your blog should have is getting a person to read the article. The second goal is getting them to read a second article. To do that, readers have to be able to easily find the next article to read. We approached this problem by thinking like our readers. Several months before the merge and redesign, we completely reworked the categories on our site. Instead of aligning them with internal products or processes, we thought about what type of content a reader might be looking for, and based our categories on that. We also consulted with our team to make sure these were Google-friendly. Once we’d figured that out, we could develop a visual hierarchy to further encourage our readers to stick around. On the article pages, here are a few things.
we focused on: Related articles at the bottom of the page, so if a reader finished an article and liked it, they would be immediately served with some others that might interest them. We do have an algorithm that pulls these, but also a manual the special leads override so we can handpick articles if we’d prefer (to drive traffic where we most want it to go). Tags and author pages are also easily accessible from the bottom of the article, as those may be other ways readers want to engage with our content. related articles Some of the handpicked related articles for this blog post.
Wanna read them? Scroll to the bottom! On the homepage, we wanted to show off the diversity of our content and also draw the reader’s eye. Instead of a chronology of posts, we built out a grid, so you can easily see a variety of offerings. We also made three larger posts at the top of the home page, allowing us to feature specific content. blog featured articles layout Maximize SEO value want readers to find our content, which means we need to max out our search potential. How we approached it: category-based slugs and the right plugins70% of the traffic to our blog already comes from organic search. If we want to boost overall page views and readership, we need to make sure we’re playing nice with search algorithms.