SCHOLARLY & PROFESSIONAL PUBLISHERS CHOOSE HUM

AI & Data Intelligence for
Scholarly Publishers

Hum helps forward-thinking scholarly and professional publishers build a strong first-party data strategy and deliver exceptional digital experiences.

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Identify Anonymous Readers

Hum combines identity signals to create 360° user profiles of every reader, author, and librarian. Get the full picture of how every audience member is engaging with you.

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Build Segments for Key Audiences

Create segments based on complete demographic and behavioral data. Spot trends in how readers are engaging, and deploy marketing campaigns that get results.

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Personalize Content & Marketing

Suggest the most relevant content based on topic interest & past engagement. Hum predicts what readers want next and makes it simple to launch personalization within journals, websites, events, education & email.

EXPLORE THE PLATORM ➜

Don't Just Access Your Data -
Act on Your Data

Hum gives you one place to collect, connect, and activate your first-party publishing data across all the tools you use to power audience-first experiences.

Explore how scholarly publishers are using Hum to drive results:

Min

to your destination

INCREASE OA & INSTITUTIONAL REVENUES

Arm your sales teams with first-party data on usage, engagement, & content consumption - so you can approach libraries & institutions with insights that defend renewals and drive sales.

✓ Match individual user behavior to institutions

✓ See reporting broken down by topic, journal, or property to hone your sales pitch

✓ Combine author and reader insights to support read and publish deals

DISCOVER MORE PUBLISHER USE CASES ➜

✔ Simple Dashboard, Powerful Results

There's no need for a data scientist. Hum makes it easy to see the audience insights and content intelligence you need to make decisions driven by first-party data.

✔ Content is a First-Class Artifact

Content is your bread and butter, so we've made it ours, too. Hum's content intelligence capabilities covers scholarly and grey lit content; abstracts, articles, reports, video, webinars, and everything in between.

SSP used data to engage 1,700+ Scholarly Kitchen readers

SEE HOW THEY DID IT ➜