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FOR PUBLISHERS

You sell "tech-savvy 25-45" because you don't have real personas

Your ad team needs segments. Your editor needs to know who's reading. Your product team needs retention drivers. None of you have the same data.

7 days
From setup to live AI-enriched personas

Here's what's happening today

Your current stack: fragmented, slow, leaking.

1
Chartbeat / Parse.ly — tells you which articles are hot, but not who reads them
2
MailChimp — knows subscribers, but can't correlate with article behavior
3
Manual spreadsheet — your editor's "reader persona" doc last updated in Q3
4
Your ad team — sells "tech-savvy urban males 25-45" because that's the best they have

Result: ad rates flat, newsletter CTR declining, subscription funnel unclear.

THE MONFRI SOLUTION

Here's how it works with Monfri

Three clicks from problem to solution.

1
CDP

Auto-enrich every article

OpenAI gpt-4o-mini analyzes sentiment, entities, topics, readability, and political bias per article. 14 fields populated automatically as articles publish.

2
CDP

Persona clustering from reading patterns

pgvector groups readers by topic affinity. "Finance-first morning readers", "Evening longform politics", "Weekend lifestyle" emerge automatically.

3
CRM + Automation

Act on the personas

Push newsletter recommendations per persona. Pitch ad packages with real segment sizes. Trigger paywall-prompts on the right content at the right moment.

Real personas. Real numbers. Ready for ad sales and product.

What you'll actually see

Real benchmarks. No fake testimonials.

14
AI fields per article
Sentiment, topics, bias, readability
7 days
From setup to personas
Depends on traffic volume
162×
Faster analytics
ClickHouse vs PostgreSQL