Best Books for Data Science Applications in eCommerce and Digital Marketing

[marca_at_cue]

I've got Marketing Department and Product Team that asking for lots of data, but not necessarily figuring out the right opportunities.  I'd like to find a couple good Data Science books in this space so that I can:

• help frame the conversations
• make sure our Data Engineering teams are building the right structures
• leverage existing techniques for optimizing Marketing Spend and ecommerce conversion.

I'm curious if anybody has favorite books in this space and what makes the book stand out to you.

Many thanks for the feedback!

Marc

[Gumsmenezes]

Hey Marc! Here are a few great books to help align teams and optimize data use:

1. Data Science for Business – Core concepts for solving real business problems.
2. Lean Analytics – Focus on the right metrics to avoid data overload.
3. Marketing Data Science – Techniques for campaign optimization and segmentation.
4. Freakonomics – Inspires creative, out-of-the-box thinking.
5. Ecommerce Analytics – Practical advice for boosting conversions and ROI.

[Datizi]

Using data from the highest paid snapchat influencers can offer powerful insights for data science applications in eCommerce and digital marketing. Their audience engagement, content trends, and conversion metrics can help build predictive models for customer behavior and product interest. By analysing influencer-driven traffic, sentiment, and purchasing patterns, businesses can fine-tune their targeting strategies and optimise ad spend. This data is especially useful for creating customer personas in Snapchat and forecasting campaign success. In my opinion, influencer metrics are an underrated yet valuable data source for competitive advantage in digital commerce.