The search for insights begins

What makes personalization tick?
We asked over a billion data points.

Curious Reader, meet David

This is David, he is Turtl's Senior Marketing Analyst.

Recently, David was doing his yearly report comparing statistics, when he noticed something interesting about how Turtl users were using personalization and the results they were seeing:

"I began analyzing Turtl's data for our quarterly customer report at the end of 2021, but a few weeks into 2022 it was clear that personalization popularity, use cases, and even KPIs, had been growing throughout the years."

Wondering if there were any wild differences between reader experiences, he tracked over 400 million rows of reading sessions that Turtl collected from every piece of content made within the software. David segmented those sessions into levels of personalization and then aggregated them, like how Google Analytics aggregates visit sessions, to compare performance levels.

Everyone is talking about personalization, but marketing and sales teams need to know what will specifically boost the attention, production and outcomes for their content.

David Rozman, Senior Marketing Analyst at Turtl

Here's what David's data analysis showed us ➜

Personalization is driving clear results

Great news; personalized content created in Turtl has more reads, fewer bounces, and more interactions! We can see that readers are more actively engaged with personalizations than non-personalized content, and as a result, they visit more pages and interact more with Doc elements. But this isn't anything new right? If we already know personalized content performs better, so let's take a closer look at what that personalized content is made up of.

People engage with your content when it is personalized

+32%

interaction from personalization

People explore more of your content when it is personalized

+34%

engagement from personalization

Personalization has a major impact on gaining attention

-49%

bounce rate from personalization

Personalization has levels

David's data shows us that personalized content in Turtl outperforms non-personalized content for reader engagement.

But a closer look at that personalized content tells us that there are different kinds of personalization at play. For analysis purposes, David has found a way to split these levels into two categories.

The easiest to execute is 'basic personalization' which consists of adding simple elements such as a reader/business name or logo to the content.

Whereas 'deep personalization' requires more information to shape a piece of content around an individual, team, or company's interests. In Turtl we see this when creators add rules to hide or include certain pages, text, videos, images, etc. based on reader or target-audience preferences.