Gartner's latest Hype Cycle Report for emerging technologies outlines a similar pattern seen in personalization use cases at Turtl; at the start of the innovation's introduction, there is a high 'peak of inflated expectations' where many people try a new tool in mass, but with a lack of training and comprehension around its capabilities, give up on it.
Some professionals worry that personalization is a phase or unattainable "golden egg", but we can see from the data that personalized content is maturing and advancing over time. Over the past few years, the share of total Turtl read events being in deeply personalized content has increased along with the overall share of reads coming from all personalized content. So it's not just about how often creators personalize, but how they connect data and feedback to continuously go deeper with their personalization programs to ensure content delivered is at the right time, to the right person, with the right message.
