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Featured Posts

Strategy

How Retina Solves the Facebook Attribution and ROAS Problems

By focusing on first-party data to send predictive metrics like customer lifetime value and CLV:CAC ratios back to Facebook, advertisers can understand the long-term value of their customers from the point of first purchase.

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Marketing

7 Questions Every Marketer Needs to Ask About Customer Lifetime Value Now

Customer lifetime value (CLV or LTV) is a term that is used rather loosely in most organizations. When I first started working at PayPal, I…

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Marketing

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…

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Data Science Strategy

What Is the Difference Between CLV and LTV?

There are plenty of acronyms floating around the analytics space. It can be hard to keep track. Even with predictive customer metrics, we have LTV,…

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Marketing

Predicting CLV for Prospective Customers

How Car Salespeople Figure Out Your Value to Them Have you ever noticed how car sales professionals try to estimate your financial worth with small…

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Marketing

Discussing Solutions For Facebook Attribution and ROAS Challenges Following IDFA

Earlier this year, Apple began releasing iOS 14.5. This update prompted users to answer whether they would allow their data to be tracked for advertising…

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Marketing

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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Data Science

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…

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Engineering

Tech Sprints Speed Runs: How to Validate your Ideas as Fast as Humanly Possible

Are you building products without knowing if anyone will use them?  Does market validation seem to take forever? If so, then this post about how…

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Data Science

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…

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Marketing

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…

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Data Science Marketing

Customer Lifetime Value Migration Over Time

Customer lifetime value (CLV) is not a static metric. It changes over time—sometimes dramatically—as you observe new data about a customer.  At Retina, we analyze…

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Data Science

Goal-Driven Customer Segmentation

Customer segmentation is a powerful technique for understanding your customers. However, it can be tricky to successfully implement it in a business context. In this…

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Data Science

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…

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Engineering

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…

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