Some people say that everything that works in digital marketing has already been invented, so you may as well just copy those that have sussed things out. Whether you believe that or not, this directory of exit popups might offer all the inspiration you need to create a high-converting offer that captures those visitors that are about to bounce. Enjoy!
@therealsjr Thanks for sharing Stewart, if anyone has any questions on what we found when researching this gallery then please ask :-)
Smart exit intent is awesome. We used a different tool and some CSS to create an exit popup in the style of current "full screen welcome mat" popups. (I won't pollute the comments with a link just now, so ask me if you want to see it) But, ours isn't dynamic/tailored to the page context so I like the ability to customise the exit which I think is what you guys are providing? And that is an awesome idea. Nice work guys! cheers, Paul
@paulmboyce Thanks Paul - glad you liked it. In my endless research to find exit intent popups I didn't see any welcome mats on non-SaaS/Forum products. That's not to say they're bad, but ecom/lead gen sites are focused on image popups, and the majority are either offer based, or they're to increase newsletter signups. The hotel brands I analysed are doing more exciting things, like smaller popups that appear within the main screen, and there were some great ones that gave the impression of scarcity. They have a better understanding of the mindset of the visitor. To answer your question, Nudgr is an exit intent tool but we use ML for much greater accuracy and we want our customers to go beyond just a popup image. There's a lot of other ways you can engage a user who is frustrated / annoyed / bored and who is about to leave.
@almackin Thanks for the reply Al. Interesting about the welcome mats. I'm also seeing a lot of them on blogs these days. Curious - can you suggest a good example of hotel popup/scarcity, because we're actually A/B testing a feature and this might promote some ideas for our designers. Very interested to see what other ways you can match user behaviour with ML - like user patterns that map to " frustrated / annoyed / bored", or "just looking / researching / to read to buy yet ". I imagine the messaging is very different in each case?