Rocketship Scholars: Local Legends!
Rocketship Scholars Series: Written by Lee-Roy Chitambira
I have been really enjoying the SaaS Trial Rocketship course so far. It has been difficult at times to complete the course work on time due to many commitments. However, the fact that we can access the course content on-demand has been great in allowing me to catch up and go back to cement my learnings. I often find that I am discussing the content with anyone who will listen as I really can see the massive value PLG can be to businesses.
Prior to this week's content, I believed my understanding of personalisation was above par. However, the deep dive into personalisation in Customer Journey Optimization has really shown the gaps in my knowledge. I had only really been using the basic personalisation techniques which included adding various user-level data such as first name, last name, company etc. I’ve now learnt that they don’t really add much value because everyone is doing them! We must go deeper into personalisation so we can actually add value to the users.
The section on computed traits was an eye-opener. When John defined computed traits and went into detail regarding how they work, I got many flashbacks of services/apps that are utilising computed traits in their efforts to personalise the product for me. Strava Achievements is a great example. Among my social circle, they‘ve been used for bragging rights, and the personalisation has led to us consistently using the app and even some mates downloading the app to get amongst the bragging rights to see who can be the local legend.
It is clear to me how computed traits can play a powerful role in the adoption and promotion of a product. My brain is firing off on how I can use the different trait types within my organisation to deliver an even greater level of personalisation and take us to the next level.
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