4 Top Machine Learning Use-Cases for Consumer Marketing
You’ve heard lots of hype about machine learning, but how can it REALLY help you get and edge in consumer marketing? We’ve been doing data…
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Predicting Lifetime Value (LTV) Before a Prospect Becomes a Customer
How Car Salespeople Figure Out Your Value to Them Have you ever noticed how car sales executives try to estimate your financial worth with small…
DataOps Principles: How Startups Do Data The Right Way
If you have been trying to harness the power of data science and machine learning — but, like many teams, struggling to produce results —…
Four Principles of Data Science Ethics at Retina
Does your data science team worry about aligning your work with your values? Data science and machine learning provide new capabilities, and with those come…
Tech Sprints Speed Runs: How to Validate your Ideas as Fast as Humanly Possible
Are you building products without knowing if anyone will use it? Are you finding it takes forever to do market validation? If so, then this…
Clustering Messy Time Series
When clustering data, it can be challenging to handle time series data, especially when the series have differing lengths. As part of my PhD work…
3 Secret Strategies for Superpowered Facebook Marketing via Customer Lifetime Value
Are you finding it increasingly more expensive to acquire customers on Facebook? Are the customers you acquire spending less and threatening your profitability? We’ve seen…
Customer Lifetime Value Migration Over Time
Customer lifetime value (CLV) is not a static metric. It changes over time as new data about a customer is observed. CLV measured a year…
Goal-Driven Customer Segmentation
Customer segmentation is a powerful technique for understanding your customers, however it can be tricky to successfully implement in a business context. In this blog…
5 Steps to Build an Effective Data Science Team
I’ve built and run data teams at Paypal, Facebook, and now at Retina AI. In each of those roles, I’ve also been asked how to…
Serverless Principles by Example
Do you have server infrastructure pain? Are your engineers spending more time managing servers than they are enabling more business value? Are you paying for…