Abstract
Purpose: This study aims to characterize several wine consumer segments who were “likely” to sample (i.e. taste before purchasing) wine from vineyards using cover crops, a sustainable production practice that reduces herbicide applications, and identify those with a greater probability of being a viable target market based on survey responses. Design/methodology/approach: A total of 956 wine consumers from the Mid-Atlantic and boarding US states were separated into segments based on an ECHAID (exhaustive Chi-square automatic interaction detector) classification tree from internet survey responses. Findings: Out of the 12 created segments, 6 (n = 530, 72% of training data) contained participants who were at least 1.02 times (index score =102%) more “likely” to try the wine compared to the overall sample and were willing to pay $18.99 for a 750-mL bottle of the wine, which included a $1 surcharge to cover associated production costs. Of these, three (n = 195, 26%) had the greatest potential for which a marketing plan could be developed (index scores of 109%–121%), with over half in each segment willing to pay $20.99 for the bottle of wine, which could motivate growers to consider implementing this sustainable strategy. Originality/value: Although several segments of participants were “likely” to sample the sustainably produced wine, an ECHAID classification tree allowed us to identify participants who would not pay $18.99 for a 750-mL bottle of wine, even after learning about the use of cover crops and the trade-off ($1 bottle surcharge). By narrowing the number of potential “likely” segments to those with a greater potential of sampling the wine, more purposeful marketing strategies can be developed based on demographics, attitudes, and behaviors defined in the model.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 86-111 |
| Number of pages | 26 |
| Journal | International Journal of Wine Business Research |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2 2022 |
All Science Journal Classification (ASJC) codes
- General Business, Management and Accounting
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