The Customer

Portfolio Management Research (PMR), a With Intelligence product, publishes 13 highly respected journals serving the global investment community. They have been hosted on the HighWire platform since 2020, providing PMR with a cutting-edge feature set, and powerful discovery tools.

 

The Challenge

 

PMR works closely with HighWire to support the ever-changing needs of their users, and highlighted emerging opportunities to improve user engagement through personalization. The existing homepage already had several features to help promote key content. However, with diverse topics and growing volumes of articles – now over ten thousand – it became even more important to help users discover content relevant to their interests, and which surfaces trends in the wider community.

 

Redefining the Homepage

For a better user experience, PMR wanted to enhance user engagement, content discovery, and personalization. They wanted to customize the homepage that could highlight trending articles, show the latest issues, and make personalized recommendations-based readers’ choice.

Together with PMR, we introduced three new content sections to the homepage:

  • Recommended for You – personalized articles based on user behavior
  • What’s Popular – the most viewed content across all journals
  • Latest Issues – a quick view of the most recently published issues

These sections make the homepage feel fresh, timely, and tailored to each reader. 

Latest Issues

This section features the 5 most recently published journal issues. Each entry includes a cover image that links directly to the issue, encouraging readers to explore the newest content across PMR .

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Recommended for You

This is the part where we’ve added personalization. We track the last 10 topics (or subject areas) a user interacts with and calculate a score based on how often and how deeply they engage with each one. Then we:

  • Turn those scores into weighted content slots
  • Select 9 new articles from those topics (not previously read)
  • Prioritize recent publications

If someone’s brand new or hasn’t engaged yet, we show one fresh article from each journal. If there’s truly no data to work with, we simply hide the section.

We also built in smart filters—for example, if a user has already read the pre-press version of an article, we won’t show them the published version again.

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Our Execution

HighWire built the back-end logic, APIs, and personalization engine, working closely with the PMR team to fine-tune the design and functionality. We focused on:

  • Data aggregation across all journals
  • Clean, user-friendly front-end design
  • Logic that adapts to each user’s reading behavior

We tested everything thoroughly and rolled out the changes with minimal disruption.