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HEALTH TECHNOLOGY · CONTENT INTELLIGENCE

An intelligence study that set the production mandate.

We showed ResMed which content streams were working, why they worked and what to make next, treating content as a system instead of a calendar.
Brand:
ResMed
Creators:
Creator-produced video analyzed alongside VN- and brand-produced content (names withheld for client confidentiality)
Platforms:
TikTok, Instagram, Facebook
Services:
Content strategy, creator content, social performance analysis, platform optimization, creative intelligence

2 .76%

VN REELS ER

2 .47%

CREATOR VIDEO ER

0 .52%

VN REELS SHARE RATE

45

POSTS ANALYZED

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THE CHALLENGE

Build the engine on evidence, not guesswork

Building a larger content engine without knowing which content performs (and why) wastes production and platform spend.

  • Identify which content streams actually drive reach, engagement and sharing.

  • Assign each stream a defined job inside the system.

The Approach

Content as an operating system

We analyzed VN-produced, creator-produced and brand-produced content by origin, platform and behavior. This meant separating the streams to understand each one's role rather than reporting blended averages.

The Result

A clear production mandate

The study told ResMed what to make next.

  • 2.76% engagement rate — VN-produced Instagram Reels

  • 2.47% engagement rate — creator-produced video

  • 0.52% share rate — VN-produced Reels

  • 45 video posts analyzed across streams

Analysis across VN, creator and brand content; health-outcome claims excluded.

Chilly-Goat--4-col 1 (Large)

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