Meredith Mejia

About Meredith Mejia

Meredith Mejia is the Director of Marketing at Zodiac. Prior to joining the company, she spent several years marketing B2B software in the employee recognition and incentives industry. She loves creating compelling, understandable content that helps people make better business decisions.

The One Thing Your 2018 Marketing Plan May Be Missing

As you build your 2018 marketing plan, you are probably looking to optimize for traditional marketing metrics like CPA, ROAS, and overall conversions. While those are certainly important measures, they become infinitely more valuable and meaningful with the addition of Customer Lifetime Value.

By | January 25th, 2018|

How to Simplify Data-Driven Marketing with a Single Metric

Today's data-driven marketing practitioners have access to more customer data than ever. In this e-book we talk about how marketers can transform their strategies by focusing on a single metric: Customer Lifetime Value.

By | January 9th, 2018|

Lifetime Value Office Hours- Questions from Marketers Answered

A few months ago, Zodiac co-founder and Wharton Marketing Professor Dr. Peter Fader did a joint webinar with marketing analytics firm InfoTrust about the basics of using Customer Lifetime Value (CLV) to power your marketing strategy. You can listen to it here and view the deck here. We had so many great questions that we [...]

By | October 5th, 2017|

How a Firm’s Customer Base Determines its Value: Examining Overstock and Wayfair

Zodiac's Dan McCarthy and Peter Fader use their customer-based corporate valuation methodology to find the fair value of Overstock and Wayfair's stock using publicly available customer acquisition and retention data points.

By | September 26th, 2017|

5 Customer Lifetime Value Mistakes Many Companies Make

Customer Lifetime Value (CLV) is the net profit gained from the entire relationship with a customer: past, present, and future. Many companies are just starting to think about CLV. If they are measuring it, they might not be using this powerful metric to its full potential. Many companies (even those with internal data science teams) are [...]

By | May 4th, 2017|