B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Recent
30%
30% -- win rate lift from ai usage for Revenue teams using AI (2025)
Teams using AI achieve approximately 30% higher win rates.
- Source states 'about 30%'
Attribution:
View source
Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
30%
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
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
mindesigns.com.au
Primary
Tier C
https://mindesigns.com.au/blog/b2b-online-marketing/ ↗
Source Article
The New Rules of B2B Online Marketing
Consumer behavior models were designed to help marketers predict how people buy, but the reality of B2B Online Marketing looks nothing like those clean diagrams anymore. In fact, it has become even more unpredictable and prolonged, with the average B2B buying cycle lasting 11.5 months. Most buyers a…
Original Research
mindesigns.com.au
· Original study ↗
Methodology
Cited figure; original research source not identified
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Revenue teams using AI: 30% win rate lift from ai usage. Source: mindesigns.com.au (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/ai-teams-30-percent-higher-win-rates
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<blockquote cite="https://lighthousedata.io/data/ai-teams-30-percent-higher-win-rates" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>30%</strong> -- win rate lift from ai usage for Revenue teams using AI<br><small>Source: mindesigns.com.au (2025) · <a href="https://lighthousedata.io/data/ai-teams-30-percent-higher-win-rates" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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