Case Study : Author Outreach Platform

Large Health Sciences Publisher in Europe

Goals :

The goals of this project were to develop a fully automated, machine learning-powered author scouting platform that sources authors matching specific research topics or journal scopes. Additionally, the project aimed to implement a weekly email campaign system for reaching out to shortlisted authors using customizable email templates vetted by the publisher’s marketing team. The platform will adopt a mobile-first design, include the ability to trigger reminder emails, and manage unsubscribe responses from email recipients.

Outcome :

The project successfully identified over 500 relevant authors for a three-week campaign, achieving an email deliverability rate of 99%, a read rate of 71%, and a click-through rate of 50%, with only 10% unsubscribing. Additionally, the author scouting system was integrated with the publisher’s preferred CRM system, and a weekly update of the analytics dashboard was enabled.

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