loader image

User Experience

7 Strategies identified to improve engagement

12 Weeks to create a centralised pipeline.


The UK’s most loved doggy borrowing platform was looking to better understand their customers. What drove acquisition, engagement and retention? How could they improve User experience and conversion?


Building on top of their existing technical architecture, we evaluated which data tools would suit their needs and built an efficient end-to-end data pipeline. We automated the extraction and modelling of data from their operational database, and designed and built dashboards to surface user and growth insights.With the data pipeline set up we then provided training to the team on using Metabase, segmented the user base for CRM purposes, and performed a deep-dived analysis on the modelled data to identify various strategies to maximise conversion.


In just 12 weeks we were able about to create a centralised data pipeline with automated dashboards. From the deep-dive analysis, we identified 7 low-hanging fruit strategies across marketing, CRM and search algorithms to improve user engagement and subscription uptake.


“173tech put together a comprehensive report digging into our data on user engagement with a clear plan of action for us to implement.” Rikke Rosenlund

Tech Stack

AWS, Snowflake, Gitlab CI, dbt, Metabase, Custom Python Extractors

Ready To Start Your Data Engine?

Want to find out what the possibilities are for turning your data into business drivers?

Not sure if your ideas for using data are technically feasible and will generate ROI?

Have a specific use case in mind for your data but don’t know how to get started?

Get in Touch!