How The Huffington Post uses real-time testing to write better headlines » Nieman Journalism Lab
From direct mail to web design, A/B testing is considered a gold standard of user research: Show one version to half your audience and another version to the other half; compare results, and adjust accordingly. Some very cool examples include Google’s obsessive testing of subtle design tweaks and Dustin Curtis’ experiment with direct commands and clickthrough rates. (”You should follow me on Twitter” produced dramatically better results than the less moralizing, “Follow me on Twitter.”)
So here’s something devilishly brilliant: The Huffington Post applies A/B testing to some of its headlines. Readers are randomly shown one of two headlines for the same story. After five minutes, which is enough time for such a high-traffic site, the version with the most clicks becomes the wood that everyone sees.
Headlines have always played the most promotional role in news, charged with selling readers on the articles they adorn, so it only makes sense to apply the best tools of market research to their crafting. Think of it as a more rigorous version of magazines adjusting their covers based on newsstand sales.
Paul Berry, chief technology officer at The Huffington Post, spoke briefly about their real-time headline testing on a panel at the Online News Association conference in San Francisco earlier this month. When I talked to him afterwards, Berry said the system was created inhouse, but he wouldn’t disclose much else about how or how often it’s done. He did say Huffington Post editors have found that placing the author’s name above a headline almost always leads to more clicks than omitting it.
Headline are what attracts a reader's attention especially if you see a headline among a sea of other headlines competing for that attention, such as in an RSS reader.
Clever.
