Personalization model 3.0

Personalization 3.0, the latest version of our personalization model has been released. The new model brings a broader range of behavioral interactions, time decay and position exposure weighting, and an instrument preference list.

Clara upgraded with personalization model 3.0

Personalization 3.0, the latest version of our personalization model has been released. The new model brings a broader range of behavioral interactions, time decay and position exposure weighting, and an instrument preference list.

These new features improve instrument selection and ranking. Clara, our personalization engine, can now provide even more relevant and timely content and data to users.

Early testing shows 3.0 delivering 20% higher engagement with content and data and receiving a 40% higher relevance score from users compared with 2.0 and tested with real traders.[1]

Broadening the capture of behavioral interactions

3.0 has extended and improved the range of user data interactions. It now includes behaviors from all channels using our interaction capture including trading platforms, web, and mobile apps. This means user searches, watchlist changes, and financial content engagement are considered alongside a range of other research behaviors and trading activity when Clara personalizes user experiences.

Improving the weighting process

We’ve improved time decay and exposure position weighting as well as revisiting the importance of different interactions. Time decay allows Clara to recognize that any individual action taken by a user yesterday is more important than the same interaction taken four weeks ago.

Position exposure weighting gives more importance to instruments where the user has an active market exposure such as an open trade or order. It means Clara can identify the importance of actions taken around your decision to trade or invest over your decision taken not to.

Creating an instrument preference list

 3.0 goes even further in creating an ever evolving and more accurate instrument preference list for each and every individual user. The instrument preference list is updated in real time, meaning at any moment Clara has the most accurate view possible of a user’s research and trading preferences. This allows Clara to suggest even more relevant content and data by keeping in step with changes in each individual users interests and mindset.

Better personalization means better experiences

The new changes brought by personalization 3.0 will allow Clara to better understand users even more deeply, resulting in a more engaging and rewarding experience that they can’t get anywhere else.

It means user are getting the information they need, right when they need it, giving them access to more relevant educational content and data and helping them make better informed decisions.

Our team have delivered incredible improvements to an already best in class solution, helping Clara to embrace differences and empower individuals to experience investing on a personal level across financial services.

Get in touch to find out how Clara can help you make things personal.

 

{1} Engagement is a measure of the interactions with content items and instruments by users.

Content and data relevance measured through quantitate research with users scoring relevancy of content and data presented. This data was compared with the same data set from a cohort presented with the previous personalization model.

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