Professional Coffee Machines (Spain)

Distribution & Brand Image

3.000,0

An in-depth analysis of distribution channels, type and characteristics of machines distributed, purchasing and distribution flows

In the second part of the report, an extensive market research on distributors shows the top mentioned brands, with a focus on the mood of the sector, the brand positioning on purchasing criteria and key factor of success.

SKU: MR-17016 Category:

Description

TABLE OF CONTENTS
1. INTRODUCTION AND METHODOLOGY
1.1 Scope of the research and methodology
2. THE DISTRIBUTION OF PROFESSIONAL COFFEE MACHINES
2.1 Distribution channels
2.2 The sample
2.3 Type and characteristics of machines distributed
2.4 Purchasing flows
2.5 Distribution flows
3. THE BRAND IMAGE ANALYSIS
3.1 Number of brands distributed
3.2 Top brands mentioned
3.3 Mood of the sector
3.4 The brand image analysis
3.5 Brand positioning on purchasing criteria
3.5.1 Frequency/easy approach with the supplier
3.5.2 Front staff professionalism
3.5.3 Punctuality in delivering
3.5.4 After sales technical assistance
3.5.5 Price
3.5.6 Aesthetic qualities of the product/design
3.5.7 Wide range of products and models
3.5.8 Innovation
3.5.9 Brand fame/advertising
3.5.10 Availability of merchandising material
4. Appendix 1: Statistical tables
5. Appendix 2: Strengths and weaknesses of brands

LIST OF TABLES
Tab.1 Breakdown of companies interviewed by region. Number
Tab.2 Type of professional coffee machines distributed by geographical area. Percentages
Tab.3 Type of professional coffee machines distributed by region. Percentages
Tab.4 Type of professional coffee machines distributed by company dimension. Percentages
Tab.5 Number of groups of traditional coffee machines distributed by geographical area. Percentages
Tab.6 Number of groups of traditional coffee machines distributed by region. Percentages
Tab.7 Number of groups of traditional coffee machines distributed by company dimension. Percentages
Tab.8 Number of cups/hour of automatic coffee machines distributed by geographical area. Percentages
Tab.9 Number of cups/hour of automatic coffee machines distributed by region. Percentages
Tab.10 Number of cups/hour of automatic coffee machines distributed by company dimension. Percentages
Tab.11 Purchasing flows of professional coffee machines by geographical area. Percentages
Tab.12 Purchasing flows of professional coffee machines by region. Percentages
Tab.13 Purchasing flows of professional coffee machines by company dimension. Percentages
Tab.14 Main purchasing criteria adopted by coffee roasters by geographical area. Score from 1 to 5
Tab.15 Main purchasing criteria adopted by coffee roasters by region. Score from 1 to 5
Tab.16 Main purchasing criteria adopted by coffee roasters by company dimension. Score from 1 to 5
Tab.17 Average price of professional coffee machines purchased by geographical area. Percentages
Tab.18 Average price of professional coffee machines purchased by company dimension. Percentages
Tab.19 Distribution flows of professional coffee machines by geographical area. Percentages
Tab.20 Distribution flows of professional coffee machines by region. Percentages
Tab.21 Distribution flows of professional coffee machines by company dimension. Percentages
Tab.22 Formula adopted by geographical area. Percentages
Tab.23 Formula adopted by region. Percentages
Tab.24 Formula adopted by company dimension. Percentages
Tab.25 Some characteristics of professional coffee machines distributed by geographical area. Percentages from 0% to 100%
Tab.26 Some characteristics of professional coffee machines distributed by region. Percentages from 0% to 100%
Tab.27 Some characteristics of professional coffee machines distributed by company dimension. Percentages from 0% to 100%
Tab.28 Importance of the first two brands of machines by geographical area. Percentages
Tab.29 Importance of the first two brands of machines by company dimension. Percentages
Tab.30 Brands of coffee machines mentioned by respondents. Number and percentage of total number
Tab.31 Brands of coffee machines mentioned by geographical area
Tab.32 Brands of coffee machines mentioned by region
Tab.33 Brands of coffee machines mentioned by company dimension
Tab.34 Total opinion on known brands. Average of ratings and number.
Tab.35 Opinion on known brands. Average of ratings (score from 1 to 5) and respondents.
Tab.36 Opinion on known brands by geographical areas. Average of ratings (score from 1 to 5) and respondents.
Tab.37 Opinion on known brands by region. Average of ratings (score from 1 to 5) and respondents.
Tab.38 Opinion on known brands by company dimension. Average of ratings (score from 1 to 5) and respondents.

LIST OF FIGURES
Fig.1 Distribution of professional coffee machines by different channels (volume and quantity)
Fig.2 Breakdown of companies interviewed by geographical area. Percentages
Fig.3 Breakdown of companies interviewed by number of professional coffee machines distributed. Percentages
Fig.4 Main purchasing criteria adopted by coffee roasters in Spain. Score from 1 to 5
Fig.5 Average price of traditional espresso professional coffee machines purchased.
Fig.6 Average price of fully automatic espresso professional coffee machines purchased.
Fig.7 Average price of automatic coffee brewer machines purchased.
Fig.8 Distribution of professional coffee machines in Spain. Percentages
Fig.9 Gap of perception on machines characteristics between coffee roasters and machine manufacturers in Spain. Score from 1 to 5
Fig.10 Average number of brands distribute by coffee roasters. Percentages
Fig.11 Importance of first two brands distributed. Percentages
Fig.12 Strengths and weaknesses of sector. Algebraic balance
Fig.13 Strengths and weaknesses of sector by region. Algebraic balance
Fig.14 Strengths and weaknesses of sector in the Northern area. Algebraic balance
Fig.15 Strengths and weaknesses of sector in the Central area. Algebraic balance
Fig.16 Strengths and weaknesses of sector in the Eastern area. Algebraic balance
Fig.17 Strengths and weaknesses of sector in the Southern area. Algebraic balance
Fig.18 Strengths and weaknesses of sector in the Island area. Algebraic balance
Fig.19 Strengths and weaknesses of sector by company dimension. Algebraic balance
Fig.20 Total opinion on known brands. Deviation from the mean of opinions.
Fig.21 Opinion on known brands in northern regions. Deviation from the mean of opinions.
Fig.22 Opinion on known brands in central regions. Deviation from the mean of opinions.
Fig.23 Opinion on known brands in eastern regions. Deviation from the mean of opinions.
Fig.24 Opinion on known brands in southern regions. Deviation from the mean of opinions.
Fig.25 Opinion on known brands in islands. Deviation from the mean of opinions.
Fig.26 Opinion on known brands of medium/small coffee roasters (<1,000 machines). Deviation from the mean of opinions.
Fig.27 Opinion on known brands of medium/large coffee roasters (>1,000 machines). Deviation from the mean of opinions.
Fig.28 Frequency/easy approach with the supplier. Deviation from the mean of opinions.
Fig.29 Front staff professionalism. Deviation from the mean of opinions.
Fig.30 Punctuality in delivering. Deviation from the mean of opinions.
Fig.31 After sales technical assistance. Deviation from the mean of opinions.
Fig.32 Price. Deviation from the mean of opinions.
Fig.33 Aesthetic qualities of the product/design. Deviation from the mean of opinions.
Fig.34 Wide range of products and models. Deviation from the mean of opinions.
Fig.35 Innovation. Deviation from the mean of opinions.
Fig.36 Brand fame/advertising. Deviation from the mean of opinions.
Fig.37 Availability of merchandising material. Deviation from the mean of opinions.
Fig.38 Expobar. Deviation from the mean of opinions.
Fig.39 Iberital. Deviation from the mean of opinions.
Fig.40 Cimbali. Deviation from the mean of opinions.
Fig.41 La Spaziale. Deviation from the mean of opinions.
Fig.42 Astoria. Deviation from the mean of opinions.
Fig.43 Wega. Deviation from the mean of opinions.
Fig.44 Futurmat. Deviation from the mean of opinions.
Fig.45 Melitta. Deviation from the mean of opinions.
Fig.46 Rancilio. Deviation from the mean of opinions.
Fig.47 Faema. Deviation from the mean of opinions.
Fig.48 Gaggia. Deviation from the mean of opinions.
Fig.49 Cafina. Deviation from the mean of opinions.
Fig.50 Coffee Queen. Deviation from the mean of opinions.
Fig.51 Italcrem. Deviation from the mean of opinions.
Fig.52 Nuova Simonelli. Deviation from the mean of opinions.
Fig.53 Saeco. Deviation from the mean of opinions.
Fig.54 WMF. Deviation from the mean of opinions.
Fig.55 Ascaso. Deviation from the mean of opinions.
Fig.56 Victoria Arduino. Deviation from the mean of opinions.
Fig.57 La Marzocco. Deviation from the mean of opinions.
Fig.58 San Marco. Deviation from the mean of opinions.

Additional information

Edition:

Pages:

Publisher:

You may also like…