Retention Science Blog

Apr 26, 2016

AI in Marketing -- Ally, Not Enemy

We recently explored how digital marketers could take some cues from the ancient game of Go to learn how to create complex yet fluid strategies that can effortlessly anticipate the modern consumer’s behavior.…

Blog - Retention Science
Apr 21, 2016

RetailPlus NY: Insights from BirchBox, Forerunner Ventures and CNN

The Retention Science team is back at it with out RetailPlus roadshow thought leader series. This week, we went back to NYC to Gemma at the Bowery Hotel where we brought leaders in eCommerce and retail together to connect over good food and even better conversation.

Dinner…

Blog - Retention Science
Apr 13, 2016

“Authentic Marketing” Shouldn’t Be An Oxy-Moron – Special Webinar

Digital commerce is noisier than ever, and it shows in how difficult it is to catch – and sustain – shoppers’ attentions. Marketers are told that it’s important to be personal, relevant, and omnichannel-friendly when it comes to connecting with consumers, and it’s true all of these things play significant…

Blog - Retention Science
Mar 29, 2016

The Importance of the Right Message

As marketers, you know that personalization and relevancy are crucial to reaching today’s audience. There’s a lot of emphasis on 1-to-1 personalization, and it’s a concept everyone seems to understand. But what does the concept really mean when it’s time to deliver

Blog - Retention Science
Mar 15, 2016

3 Reasons Why eCommerce Marketers Need to Think Like Go Players

The game of Go has been making headlines in the last few months, but today marks an especially historic event: Google’s DeepMind computer program AlphaGo has won the final game…

Blog - Retention Science
Mar 08, 2016

Feature Engineering: A Closer Look, Part 2 [RS Labs]

At Retention Science, we want to capture all sorts of variability in customer behavior in order to model behavior such as calculating purchase probability, predicting customer lifetime values, and optimizing which discounts are most appropriate for which customers. Once we acquire the raw data from…

Blog - Retention Science
Mar 03, 2016

Feature Engineering: A Closer Look, Part 1 [RS Labs]

In simple terms, feature engineering involves feeding knowledge into a Machine Learning model. As a refresher, a machine learning model is an algorithm that takes features as input and produces as output a prediction or classification. A feature itself is the item that…

Blog - Retention Science
Feb 16, 2016

Why marketers can't rely on old maps for the new customer journey

Email is the channel with highest ROI for marketers, and has been the reigning king for years. It continues to play a major role in influencing the customer journey and is a valuable retention tool. However, when it comes to email communications, marketers still rely on the tried and…

Blog - Retention Science
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