You might find that people looking for information (educational content) and people who come to buy, do it at different times of the day.
Have your content management software change the featured content and also the specific content shown for specific URLs, based on the probable intent of the visitor. For instance, if you have an article on how to be an early riser, you should have two versions of it (but with only one URL). One version – the one for information seekers – is more educational and tries to win the trust and appreciation of the reader and has a “join our email” list call to action, while the other one is more sales oriented with a different – “buy now” – call to action.
See if and how well you can predict the future.
A website where people can write their view on how the future will be and in what time frame. It’s like a public reversed time capsule. Each user will get an alert from time to time (they can decide the frequency, but maximum once a year) to check their prediction and add to it their new thoughts. Others can comment on their prediction and discuss it, and anyone can share them.
In each situation, there is a different optimal time for an opt in pop up to be displayed. These are influenced by many parameters like who is the audience seeing this, how long is the content, what time of day, etc.
Have an option in your pop up management software to request a test where the pop-up will be displayed at random intervals. The more conversions you have for some of the times and the less for other the system will start showing the better ones more and drop the worst performing ones.
You would like to know where and when some type of performance or even a specific performer is going to be. It’s also good for the performers to have a bit more publicity.
A website and app that allows you to see what street performances are going to happen around you soon, and even search by category or performer.
If a pattern could be found that is typical to visitors who convert, it can be useful.
A study to measure the timing of visitor actions to find useful patterns.