B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Dated
25,000
25,000 -- annual ab tests run for Booking.com (2020)
Booking.com runs 25,000 tests per year.
Attribution:
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Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
25,000
Unit
Count
Data Vintage
2020
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
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Harvard Business Review
Primary
Tier B
https://kirro.io/ab-testing-best-practices ↗
Source Article
A/B testing best practices: 9 rules backed by real data
Most A/B tests don’t produce a winner. Optimizely analyzed 127,000 experiments and found that only 12% improved the primary metric. At Booking.com, which runs 25,000 tests per year, about 90% show no meaningful difference.
So why test at all? Because 70% of product changes shipped without testing tu…
Original Research
Harvard Business Review
· Original study ↗
Methodology
HBR 2020
Methodology documented
Trend Over Time
| Period | Value | Change |
|---|---|---|
| 2020 (current) | 25,000 | |
| 2026 | 25,000 | 0% |
Segmentation
Industrymarketing
Cite this stat
Plain Text
Booking.com: 25,000 annual ab tests run. Source: Harvard Business Review (2020). Via Lighthouse Intelligence -- https://lighthousedata.io/data/booking-com-tests-per-year
HTML Embed
<blockquote cite="https://lighthousedata.io/data/booking-com-tests-per-year" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>25,000</strong> -- annual ab tests run for Booking.com<br><small>Source: Harvard Business Review (2020) · <a href="https://lighthousedata.io/data/booking-com-tests-per-year" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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