TrendMD provides a content recommendation platform for academic publishers that connects research articles with targeted readers, boosting engagement and pageviews.
Funding
Funding not disclosed
Founders
Product
Problem
Academic publishers and journal websites often struggle to keep readers engaged and to increase article visibility amid information overload, leading to low click‑through rates and limited citation impact.
Solution
TrendMD offers a content recommendation platform that surfaces relevant scholarly articles to readers directly on publisher sites. A free widget automatically suggests related content to current visitors, while paid options provide targeted distribution across a network of 8,600+ publications and 5 million monthly readers, including a high proportion of U.S. healthcare professionals and physicians. The platform uses advanced recommendation algorithms to match articles with interested audiences, driving higher click‑through rates, more pageviews per reader, and increased citation performance. Publishers can monitor referral traffic and engagement metrics through a dashboard, allowing them to optimize outreach and grow their readership.
Target Audience
Primary customers are academic publishers, journal editors, and scholarly societies seeking to increase article discoverability and reader engagement.
Features
- Free, easy‑to‑install widget that recommends contextually relevant articles to site visitors
- Paid campaigns that leverage a network of over 8,600 academic publications and 5 million monthly readers
- Algorithmic targeting that reaches up to 85% of U.S. healthcare professionals and 90% of U.S. physicians
- Dashboard analytics showing referral traffic, click‑through rates and pageview uplift
- Ability to set campaign budgets and scale reach according to publisher goals
- Integration support and account management for seamless implementation