B
Evidence Grade B
Graded
under review
Safe to Cite
Current
76%
76% -- retention prediction accuracy for Unilever's content team (2026)
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
76%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
95
Source Trust
50
Citation Chain
20
Independence
30
Methodology
45
Freshness
86
Source
Unilever
Primary
Tier A
https://www.rajivgopinath.com/real-time/next-gen-media-and-marketing/media-fragmentation-and-audienc… ↗
Source Article
The Science of YouTube Retention Graphs - Rajiv Gopinath
The Science of YouTube Retention Graphs & How Marketers Can Use Them
Introduction: The Currency of Attention in Digital Marketing
In the attention economy, engagement duration has emerged as the critical metric determining content success. YouTube's algorithm, which processes over 500 hours of video…
Original Research
Unilever
· Original study ↗
Methodology
Implemented AI-based retention prediction
Segmentation
Channelrss_feed
Cite this stat
Plain Text
Unilever's content team: 76% retention prediction accuracy. Source: Unilever (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/unilever-retention-prediction-accuracy
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<blockquote cite="https://lighthousedata.io/data/unilever-retention-prediction-accuracy" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>76%</strong> -- retention prediction accuracy for Unilever's content team<br><small>Source: Unilever (2026) · <a href="https://lighthousedata.io/data/unilever-retention-prediction-accuracy" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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