B
Evidence Grade B
Graded
under review
Safe to Cite
Current
40%
40% -- email revenue lift for automated RFM recalculation (2026)
Attribution:
View source
Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
40%
Unit
Percentage
Data Vintage
2026
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
50
Citation Chain
90
Independence
30
Methodology
45
Freshness
83
Source
Affinsy
Primary
Tier A
https://www.affinsy.com/blog/step-by-step-ecommerce-customer-profiling-guide ↗
Source Article
Affinsy | Product Correlations & Customer Segments From Any Transaction Data
TL;DR:
- Effective ecommerce customer profiling combines multiple data sources like surveys, interviews, reviews, CRM, and behavioral analytics to create accurate customer segments. Using the RFM framework and real-time automation enhances marketing precision and revenue growth through dynamic, beha…
Original Research
Affinsy
· Original study ↗
Methodology
Efficiency gap translates directly into email revenue lifts above 40%.
Methodology documented
Segmentation
Channelcommon_crawl
Cite this stat
Plain Text
automated RFM recalculation: 40% email revenue lift. Source: Affinsy (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/automated-rfm-recalculation-email-revenue-lifts
HTML Embed
<blockquote cite="https://lighthousedata.io/data/automated-rfm-recalculation-email-revenue-lifts" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>40%</strong> -- email revenue lift for automated RFM recalculation<br><small>Source: Affinsy (2026) · <a href="https://lighthousedata.io/data/automated-rfm-recalculation-email-revenue-lifts" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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