February 10, 2021

Newsletter Automation & Personalisation

In this webinar, we’ll be diving into newsletter strategies and sharing our learnings from automating and personalising over 21 million newsletters in collaboration with JAMES partners.

Join us on Tuesday, March 23rd at 4 pm CET to hear the results that we achieved during the one year JAMES Launch Partner Program directly from fellow colleagues in the news media industry and find out how you can embark on a similar journey with your organisation. The webinar will consist of two parts with the following agenda:

  • Virtual Meet&Greet
  • Part I: Newsletters based habit formation strategies – Insights from analysing 21 million personalised emails sent
  • Part II: Case Studies – Hear directly from NRC Handelsblad and Daily Mail on how the JAMES Launch Partner Programme impacted their organisations and the results they have seen from JAMES.
  • Q&A Session

Register now to save your spot for the event and to receive updates on this webinar.


Luuk Willekens

Digital Project Manager at NRC

Simon Regan-Edwards

Product Director at Daily Mail

Ken Macpherson

Head of Consumer Insights at Daily Mail

Additional Resources

James-Your Digital Butler

What is JAMES?

JAMES technology enables news organisations to increase reader engagement with automated one–to–one personalised newsletters, push notifications or web sections. We use the power of machine learning to create personalised reading lists for your readers. Throughout 2020 we collaborated with more publishers within the JAMES Launch Partner Program and we are now accepting partners for 2021.

JAMES at The Times of London

JAMES was born as a collaborative project with The Times of London to increase reader engagement through 1-1 personalisation. If you want to know why it was defined as a “CRM Nirvana”, hear directly from Michael Migliore on the impact that JAMES had at The Times.

JAMES White Paper & Methodologies

If you are interested in diving into the details of the original project at The Times, you can find all the information about the experiments we run and the methodologies used in this white paper.

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