The Data Science Digest Newsletter Sponsorship: Audience, Reach & Sponsor Fit

The best way to keep up with the world of Data Science.

Overview

The Data Science Digest Newsletter Sponsorship: Audience, Reach & Sponsor Fit The best way to keep up with the world of Data Science.

Key facts

Accepts sponsorsYes
FrequencyDaily
Top audience geographySingapore, United Kingdom, Hong Kong SAR China
Cross-promotionMay be available

About this newsletter

A 3-minute daily digest for Data Science, Data Engineering and Machine Learning professionals and students. Subscribe for daily news, jobs, tutorials, product releases and more.

Audience breakdown

  • Singapore — 9
  • United Kingdom — 8
  • Hong Kong SAR China — 4
  • United States — 4
  • Germany — 2

FAQ

Does The Data Science Digest accept newsletter sponsors?
Yes — our directory listing shows The Data Science Digest accepts sponsored placements. Confirm current rates and availability on the publisher’s site before you pitch.
Who is the The Data Science Digest audience?
The Data Science Digest covers Data Science, Machine Learning, Artificial Intelligence, Programming. Readers skew toward machine learning readers, founders and operators in that niche. Geography signals point to readers in Singapore, United Kingdom, Hong Kong SAR China, United States, Germany. Reach signal from our data: 2,500 subscribers.
How often is The Data Science Digest published?
The Data Science Digest sends on a daily cadence according to our listing (about every day).
What should I sponsor in The Data Science Digest?
Products that resonate with Data Science, Machine Learning, Artificial Intelligence, Programming readers tend to work best — for example Developer tools and infrastructure, Technical SaaS products, API and platform services. Use the sponsor fit section on this page to compare before you book.
How do I book a sponsorship in The Data Science Digest?
Research on this Launch Llama page, then book through thedatasciencedigest.com (https://www.thedatasciencedigest.com/). This spoke summarizes fit and audience — it is not the checkout flow.

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