B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Current

90%

90% -- experiment failure rate for Netflix (2026)

2026  · Ronny Kohavi

Around 90% of experiments at Netflix fail to improve their target metric.

  • Approximation ('around 90%')
  • Failure defined as failing to improve target metric
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Attribution: Ronny Kohavi View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
90%
Unit
Percentage
Data Vintage
2026
Entity
Netflix
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Ronny Kohavi Primary Tier B
https://kirro.io/ab-testing-product-management ↗
Confidence: 53/100 Vintage: 2026 Channel: Deep Crawl
Source Article
A/B testing for product managers: a PM's guide
A/B testing in product management means running controlled tests on product features, flows, and designs to see what actually works. Not guessing. Not debating in a meeting. Measuring. PMs don’t need to be statisticians. You need to know what to test, how to prioritize it, and how to explain the res…
Original Research
Ronny Kohavi · Original study ↗

Cited from Ronny Kohavi's experimentation data

Methodology documented
Industrymarketing
Plain Text
Netflix: 90% experiment failure rate. Source: Ronny Kohavi (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/netflix-experiment-failure-rate
HTML Embed
<blockquote cite="https://lighthousedata.io/data/netflix-experiment-failure-rate" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>90%</strong> -- experiment failure rate for Netflix<br><small>Source: Ronny Kohavi (2026) · <a href="https://lighthousedata.io/data/netflix-experiment-failure-rate" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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