C
Evidence Grade C
Use with Hedging
Aging
17.9%
17.9% — sample to sales conversion ratio for Wine Industry experiential marketing activations (2024)
Source:
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Curated by Aaron Agius
· Founder, Louder Online
Last verified:
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Source verified
Evidence graded
Value
17.9%
Unit
Percentage
Data Vintage
2024
Entity
Sample Size
25,000
Study Type
Unknown
Trend
Stable
Evidence Quality
C
Moderate quality evidence
Useful directional data with some methodological gaps. Treat as indicative rather than definitive — corroborate before citing in formal research.
Sources (5)
portma.com
Primary
Tier A
https://portma.com/resources/welcome-to-portma-academy/experiential-marketing-performance-benchmarks… ↗
Source Article
Experiential Marketing Engagement and Sampling Performance Benchmarks
Field Staff Benchmarks and Sampling Performance Benchmarks for Performance Evaluation and Management Action
Video Length: 3 minutes 34 seconds
In this Use Case scenario, we’re going to look at how to evaluate your sampling rates i…
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Original Research
PortMA
· Original study ↗
Methodology
Analysis of over 25,000 experiential marketing wine sampling activation days; calculated as bottles sold divided by samples distributed
Study: Unknown
Cite this stat
Suggested hedging: based on claims without stated methodology, with unverified sample sizes...
Plain Text
Wine Industry experiential marketing activations: 17.9% sample to sales conversion ratio. Source: portma.com (2024). Via Lighthouse Research Data — https://lighthousedata.io/data/wine-sampling-sample-to-sales-conversion-ratio
HTML Embed
<blockquote cite="https://lighthousedata.io/data/wine-sampling-sample-to-sales-conversion-ratio" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>17.9%</strong> — sample to sales conversion ratio for Wine Industry experiential marketing activations<br><small>Source: portma.com (2024) · <a href="https://lighthousedata.io/data/wine-sampling-sample-to-sales-conversion-ratio" target="_blank" rel="noopener">Lighthouse Data</a></small></blockquote>
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