B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
28,304
28,304 -- experiments analyzed for CXL A/B testing research (2026)
CXL analyzed 28,304 experiments as part of their research on A/B testing outcomes.
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
28,304
Unit
Count
Data Vintage
2026
Entity
Sample Size
28,304
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
CXL
Primary
Tier B
https://kirro.io/ab-testing ↗
Source Article
A/B testing guide (2026)
A/B testing compares two versions of a webpage to see which one performs better. You show Version A to half your visitors and Version B to the other half. Then you measure which version gets more signups, clicks, or sales.
That’s the whole concept. Three sentences.
The execution is where people get …
Original Research
CXL
· Original study ↗
Methodology
Analysis of A/B testing experiment outcomes by CXL
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
CXL A/B testing research: 28,304 experiments analyzed. Source: CXL (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/cxl-ab-test-experiments-analyzed
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<blockquote cite="https://lighthousedata.io/data/cxl-ab-test-experiments-analyzed" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>28,304</strong> -- experiments analyzed for CXL A/B testing research<br><small>Source: CXL (2026) · <a href="https://lighthousedata.io/data/cxl-ab-test-experiments-analyzed" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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