B
Evidence Grade B
Safe to Cite
Recent
10%
10% -- healthy experiment win rate for Experimentation programs (Optimizely benchmark) (2025)
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Lighthouse Research Team
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Source verified
Evidence graded
Value
10%
Unit
Percentage
Data Vintage
2025
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
90
Citation Chain
90
Independence
30
Methodology
35
Freshness
95
Source
Optimizely
Primary
Tier A
https://www.optimizely.com/de/field-notes/guides/top-10-takeaways-for-scaling-experimentation-progra… ↗
Source Article
Top 10 takeaways on how to scale an experimentation program
The most sophisticated programs don't treat experimentation as a stage-specific activity. They create continuous loops. Each test makes the next one smarter.
For continuous loops, try the experiment review agent.
7. An idea is not a test-ready hypothesis
There's a clear difference between an idea an…
Original Research
Optimizely
· Original study ↗
Methodology
Source reports a range of 10-30% for a healthy win rate; midpoint (20%) extracted. Article undated; vintage approximated from content.
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Experimentation programs (Optimizely benchmark): 10% healthy experiment win rate. Source: Optimizely (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/healthy-experiment-win-rate
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<blockquote cite="https://lighthousedata.io/data/healthy-experiment-win-rate" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>10%</strong> -- healthy experiment win rate for Experimentation programs (Optimizely benchmark)<br><small>Source: Optimizely (2025) · <a href="https://lighthousedata.io/data/healthy-experiment-win-rate" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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