Growing Ecommerce – The Retail Growth Podcast

Forecasting for Ecommerce: Guide to profitability

Smarter Ecommerce Season 2 Episode 6

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0:00 | 48:40

Welcome to Episode 6. of  Growing Ecommerce. Today Mike is joined by Sam Tomlinson, of Warshawski, a boutique marketing agency in the US. Sam is also teaching at Johns Hopkins, University and Georgetown. Mike caught him while he was attending SMX Munich and discussed the conference briefly before diving into Sam's views on forecasting and emphasizes that forecasting is not out of reach. Then, we switch gears and we discuss the intersection of large language models and search. It's not a new topic to this podcast, but here is a new perspective, Sam explains where he's not quite as convinced

  1. The importance of forecasting, and its types -  8:53
  2. Cohort base and Bayesian regression.  - 16:20
  3.  How to determine forecast type?   - 26:30
  4.  What is good growth to you?   - 29:34
  5. AI in marketing. - 25:37

About Smarter Ecommerce (smec)

Smarter Ecommerce (smec) helps e-commerce brands scale profitably with AI-driven PPC automation—optimizing for business outcomes while keeping strategic control in the hands of marketers. The platform activates first-party data (e.g., margins, CLV, core business metrics) to automate campaign optimization toward profitability and efficient growth, with transparent insights that reduce manual work and free teams for strategic oversight.

As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages €500M+ in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients, including THG, Snipes, REWE, and Intersport.

Follow smec for performance marketing insights:

Website: smarter-ecommerce.com

LinkedIn: linkedin.com/company/smarter-ecommerce-gmbh

Newsletter: smarter-ecommerce.com/en/newsletter/

Instagram: instagram.com/smarterecommerce