Export Target Market Report
Prepare a professional report that empirically identifies the best market for marketing. Prepare the report as if you were a highly paid professional consultant using your own company logo. Follow the template provided.
1.Select a product for export
2.Conduct a data-driven market potential analysis to identify the top three export markets
1. Use Gazelle/USITC Database or other valid data sources
2. Use a Decision matrix
4.Recommend one international market for an export marketing plan
A typical report is less than 10 pages. Be concise. You select the type of decision matrix you want to use.
I have attached a template to use along with samples as well. Please use the below outline 1-5 to discuss in the report. Using Gazelle.ai is a plus if possible.
Insulin consumption per capita
Population
GDP per capita (or healthcare spending per capita to be more targeted)
Total US exports 2937.12.00
US export growth 2937.12.00
EXPORT TARGET MARKET REPORT
Company
Logo
Prepared By:
First Last, Title
First Last, Title
Date
Add your consulting firms logo here
Executive Summary
An executive summary is a concise description of what the report contains. Pull important points from the body of the report and put them into the executive summary. Include the major findings, analysis and conclusions. A good executive summary allows the reader to understand the basic content of the report without reading the report. 150 to 250 words. This must include the recommended top market and a brief summary of why it is the best market.
Introduction
Purpose
The purpose of this report is to identify the top country markets for export. Identifying, assessing and choosing the right foreign markets to pursue makes export success more likely. Narrowing down possible export markets to three countries will allow a more focused export strategy.
Background
Describe your client company here in a short paragraph
Method of investigation
This study uses a decision matrix methodology with data from Gazelle.AI, IBISWorld, and USITC Trade Dataweb. A decision matrix evaluates and prioritizes a list of options (i.e., possible export markets) and is a decision-making tool. The team first establishes a list of weighted criteria and then evaluates each option against those criteria.
Scope
This research considers all 195 countries in the world in order to select the top three export market potential countries. The report identifies the top three markets with export market potential and further market analysis is needed to determine whether this potential can be actualized. The examination of the top market and market entry strategy will follow in the Export Marketing Plan report.
Market Potential Analysis
Criteria #1
Name:
Data Source:
Weight:
Justification:
Criteria #2
Name:
Data Source:
Weight:
Justification:
Criteria #3
Name:
Data Source:
Weight:
Justification:
Criteria #4
Name:
Data Source:
Weight:
Justification:
Criteria #5
Name:
Data Source:
Weight:
Justification:
Table X. Weighted Decision Matrix of Potential Exports Markets for Product X
Criteria
Weight
Country 1
Country 2
Country 3
Country 4
Country 5
Country 6
Country 7
Sources:
Top Export Potential Markets
1. Country X
2. County Y
3. Country Z
Discussion/Conclusions
One of the key aspects of a business report conclusion is summarizing the information for your reader. Your summary should mirror your opening or executive summary, recapping highlights that lead to a conclusion. After youve summarized the contents, its important that you provide an action plan or recommendation based on the information in the report. This doesnt have to be super specific, but it should give the reader a general overview of your assessments about the report, and some of the steps necessary to accomplish a task, fix a problem or implement a solution.
References
Appendixes
2
1
EXPORT TARGET MARKET
REPORT
Company
Logo
Prepared By:
First Last, Title
First Last, Title
D
ATE
A
DD YOUR CONSULTING FIRM
S LOGO
HERE
1
EXPORT TARGET MARKET
REPORT
Company
Logo
Prepared By:
First Last, Title
First Last, Title
DATE
ADD YOUR CONSULTING FIRMS LOGO
HERE 2.1 Matrix Potential for Beer Exports
Country
Total US exports y. 2019 (in million dollars)
Weight (25%)
GDP per capita (in thousands$)
Weight (20%)
Beer Consumption per capita (in liters)
Weight (30%)
Population (in million)
Weight (25%)
Total
China
14.6
3.7
18.2
3.6
32
9.6
1,394.0
348.5
365.4
Mexico
58.9
14.7
19.9
4.0
62.1
18.63
128.6
32.2
69.5
Chile
169.2
42.3
24.6
4.9
43
12.9
18.2
4.5
64.7
Canada
106.4
26.6
48.4
9.7
57.7
17.31
37.7
9.4
63.0
Germany
0.9
0.2
50.8
10.2
104.2
31.26
80.2
20.0
61.7
Japan
30.6
7.7
42.9
8.6
41.4
12.42
126
31.4
60.0
Czech Rep.
0
0.0
35.5
7.1
143.3
42.99
10.7
2.7
52.8
UK
22.2
5.6
44.8
9.0
67.7
20.31
65.8
16.4
51.3
South Korea
66.6
16.7
39.5
7.9
42.8
12.84
51.8
13.0
50.3
Netherlands
5.8
1.5
53.9
10.8
69.8
20.94
17.3
4.3
37.5
Table 1. Weighted Decision Matrix of Potential Exports Markets for Table and Kitchenware
Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware
Criteria
Weight
Canada
Germany
China
Netherlands
United Kingdom
Population
2
4
2
1
5
3
Pop. Growth rate
2
1
5
4
3
2
Urbanization %
3
3
2
5
1
4
GDP Per Capita
3
3
2
5
1
4
GDP Growth Rate
3
4
3
1
2
5
Export Value
4
5
2
1
3
4
FAS Value
4
1
3
4
5
2
Imported Value
4
2
1
5
4
3
Weighted Score
72
65
83
76
79
The Weighted Score is multiplied by the weight to arrive at the total weighted score.
Quantitative analysis of contending countries
Table 1 shows the countries quantitative score of activity with each indicator. The countries are ordinally ranked based on their quantitative score (e.g., the country with the highest import activity receives a 1; conversely, the country with the least amount of import activity receives a 6). The only indicator that is inversely ranked is the unemployment rate, as a lower percentage indicates more favorable conditions.
Table 1. Contending countries quantitative score with each indicator of market potential.
Criteria
China
Germany
Japan
Netherlands
Norway
Sweden
Imports with US
$636B
$557B
$204.2B
$60B
$12.2B
$4.44B
Per Capita (PPP)
$16,700
$42,800
$50,400
$72,100
$72,000
$51,200
EV Annual Sales (2018)
1,016,002
52,013
67,504
86,290
29,187
19,793
Unemployment rate (%)
3.9
3.8
2.9
4.9
3.2
6.7
EVs/1,000 people Ratio
1.6
2
2.4
55.9
8.4
7.8
Source(s): CIA World Factbook; IMF World Economic Outlook database; Santander Trade Markets; US Dept. of Commerce.
Decision matrix and country ranking for Electric Vehicles
Once the countries are ordinally ranked, their score is then multiplied by the weight, representative of the level of influence each indicator has on exporting, and the weighted scores are totaled with the lowest score representing the country with the most favorable market conditions for exporting (see Table 2). As demonstrated in Table 2, the top three international markets of export potential are Norway, Germany, and China, with the three lowest weighted scores, 47, 53, and 56, respectively.
Table 2. Decision matrix with contending countries, indicators of market potential and the respective weight.
Criteria
Weight
China
Germany
Japan
Netherlands
Norway
Sweden
Imports with US
3
3
6
9
12
15
18
Per Capita (PPP)
2
12
10
8
2
4
6
EV Annual Sales (2018)
5
5
15
20
25
10
30
Unemployment rate (%)
4
16
12
4
20
8
24
EVs/1,000 people Ratio
4
24
16
20
8
4
12
Weighted Score
–
60
59
61
67
41
90
To summarize, the top three potential markets are Norway, Germany, and China, based on a comprehensive and quantitative analysis of several factors used to indicate the market potential for exporting. These factors examine the countrys level of trade activity with the US, signifying established trade agreements, two economic indicators of purchasing power parity and unemployment rates, and two factors representing a countrys quantitative level of activity pertaining to electric vehicles, consisting of annual sales and a ratio of number of EVs per 1,000 people in the respective population.
2.1
M
atrix
Potential
for Beer Export
s
Country
Total US
exports y.
2019 (in
million
dollars)
Weight
(25%)
GDP per
capita (in
thousands$)
Weight
(20%)
Beer
Consumption
per capita (in
liters)
Weight
(30%)
Population
(in million)
Weight
(25%)
Total
China
14.6
3.7
18.2
3.6
32
9.6
1,394.0
348.5
365.4
Mexico
58.9
14.7
19.9
4.0
62.1
18.63
128.6
32.2
69.5
Chile
169.2
42.3
24.6
4.9
43
12.9
18.2
4.5
64.7
Canada
106.4
26.6
48.4
9.7
57.7
17.31
37.7
9.4
63.0
Germany
0.9
0.2
50.8
10.2
104.2
31.26
80.2
20.0
61.7
Japan
30.6
7.7
42.9
8.6
41.4
12.42
126
31.4
60.0
Czech Rep.
0
0.0
35.5
7.1
143.3
42.99
10.7
2.7
52.8
UK
22.2
5.6
44.8
9.0
67.7
20.31
65.8
16.4
51.3
South Korea
66.6
16.7
39.5
7.9
42.8
12.84
51.8
13.0
50.3
Netherlands
5.8
1.5
53.9
10.8
69.8
20.94
17.3
4.3
37.5
Table
1
. Weighted Decision Matrix of Potential Exports Markets for
Table and Kitchenware
Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware
Criteria
Weight
C
anada
Germany
China
Netherlands
United Kingdom
Population
2
4
2
1
5
3
Pop. Growth rate
2
1
5
4
3
2
Urbanization
%
3
3
2
5
1
4
GDP Per Capita
3
3
2
5
1
4
GDP Growth Rate
3
4
3
1
2
5
Export Value
4
5
2
1
3
4
FAS Value
4
1
3
4
5
2
Imported Value
4
2
1
5
4
3
Weighted Score
72
65
83
76
79
The Weighted Score is
multiplied by the weight to arrive at the total weighted score.
Quantitative analysis of contending
countries
2.1 Matrix Potential for Beer Exports
Country
Total US
exports y.
2019 (in
million
dollars)
Weight
(25%)
GDP per
capita (in
thousands$)
Weight
(20%)
Beer
Consumption
per capita (in
liters)
Weight
(30%)
Population
(in million)
Weight
(25%)
Total
China 14.6 3.7 18.2 3.6 32 9.6 1,394.0 348.5 365.4
Mexico 58.9 14.7 19.9 4.0 62.1 18.63 128.6 32.2 69.5
Chile 169.2 42.3 24.6 4.9 43 12.9 18.2 4.5 64.7
Canada 106.4 26.6 48.4 9.7 57.7 17.31 37.7 9.4 63.0
Germany 0.9 0.2 50.8 10.2 104.2 31.26 80.2 20.0 61.7
Japan 30.6 7.7 42.9 8.6 41.4 12.42 126 31.4 60.0
Czech Rep. 0 0.0 35.5 7.1 143.3 42.99 10.7 2.7 52.8
UK 22.2 5.6 44.8 9.0 67.7 20.31 65.8 16.4 51.3
South Korea 66.6 16.7 39.5 7.9 42.8 12.84 51.8 13.0 50.3
Netherlands 5.8 1.5 53.9 10.8 69.8 20.94 17.3 4.3 37.5
Table 1. Weighted Decision Matrix of Potential Exports Markets for Table and Kitchenware
Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware
Criteria Weight Canada Germany China Netherlands United Kingdom
Population 2 4 2 1 5 3
Pop. Growth rate 2 1 5 4 3 2
Urbanization % 3 3 2 5 1 4
GDP Per Capita 3 3 2 5 1 4
GDP Growth Rate 3 4 3 1 2 5
Export Value 4 5 2 1 3 4
FAS Value 4 1 3 4 5 2
Imported Value 4 2 1 5 4 3
Weighted Score 72 65 83 76 79
The Weighted Score is multiplied by the weight to arrive at the total weighted score.
Quantitative analysis of contending countries Sample of a draft decision matrix for the export of bottled malt beer
In the report will needed to be included the reasoning for selecting these indicators and weights
Top potential markets
1. Chile
2. Canada
3. South Korea
Criteria
Wt.
Canada
Chile
Mexico
Honduras
South Korea
Panama
Paraguay
Japan
UK
Guatemala
2019 Exports to Country of US Beer
Qty
1
$112m
$106m
$58m
$53m
$53m
$27m
$26m
$22m
$20m
$20m
Rank
1
2
3
4
5
6
7
8
9
20
5-year Export Growth
Change
0.8
-27%
123%
-27%
802%
440%
8%
14%
275%
-7%
1085%
Rank
9
5
10
2
3
7
6
4
8
1
2019 Import to US of Beer
Qty
0.5
$109m
$11k
$3.9B
$235K
$4.5m
$38k
0
$7.7m
$19m
$3.8m
Rank
9
2
10
4
7
3
1
6
8
5
Beer Consumption per capita
Liters
0.5
55.7L
50L
68.7L
15.9L
42.8L
76.8L
32.8
41.4L
72.9L
15L
Rank
4
5
3
9
6
1
8
7
2
10
Per Capita Income
Amount
0.8
$47k
$25k
$19k
$5k
$39k
25k
$13k
$42k
$45k
$8k
Rank
1
5
7
10
4
6
8
3
2
9
Weighted Score
15.5
13.5
23.1
20.1
17.1
18.4
22.7
20.1
22
35.5
Export Data from USITC Trade Database
HS Code 22030000 Beer made from malt, in bottles holding
Quantity Rank
Country
Year 2015
Year 2019
5 yr Change
Change $
1
Canada
154,159,600
111,886,610
-27%
-42,272,990
2
Chile
47,336,077
105,775,990
123%
58,439,913
3
Mexico
179,544,415
58,875,636
-67%
-120,668,779
4
Honduras
5,826,055
52,550,079
802%
46,724,024
5
South Korea
9,730,557
52,523,300
440%
42,792,743
6
Panama
25,063,735
27,078,591
8%
2,014,856
7
Paraguay
22,683,034
25,914,384
14%
3,231,350
8
Japan
5,766,438
21,639,111
275%
15,872,673
9
United Kingdom
21,580,470
20,009,869
-7%
-1,570,601
10
Guatemala
1,677,947
19,879,092
1085%
18,201,145
11
Sweden
23,138,308
17,381,882
-25%
-5,756,426
12
Taiwan
8,198,356
16,438,074
101%
8,239,718
13
China
6,875,605
14,558,006
112%
7,682,401
14
Dominican Rep
4,780,230
9,824,837
106%
5,044,607
15
United Arab Em
4,414,693
8,683,550
97%
4,268,857
16
Bahamas
3,296,180
8,283,368
151%
4,987,188
17
Singapore
3,366,529
6,909,672
105%
3,543,143
18
Peru
1,668,077
5,776,578
246%
4,108,501
19
Netherlands
3,731,979
5,725,565
53%
1,993,586
20
France
953,460
5,546,542
482%
4,593,082
IMPORT Data from USITC Trade Database
HS Code 22030000 Beer made from malt, in bottles holding
Rank
Country
Year 2019
1
Mexico
3,946,951,082
2
Netherlands
723,657,935
3
Belgium
366,971,030
4
Ireland
191,195,642
5
Canada
109,540,628
6
Germany
83,173,453
7
Italy
23,058,185
8
Dominican Rep
22,370,907
9
United Kingdom
18,786,321
10
Jamaica
18,181,670
11
Vietnam
10,504,864
12
Poland
9,141,769
13
Japan
7,648,122
14
Czech Republic
6,100,622
15
Austria
5,598,747
16
China
5,007,085
17
South Korea
4,538,237
18
France
4,008,818
19
India
3,872,410
20
Guatemala
3,750,523
Sample of a draft decision matrix for the export of bottled malt beer
In
the
report will needed to be included the reasoning for selecting these indicators and weights
Top potential markets
1.
Chile
2.
C
anada
3.
South Korea
Criteria
Wt.
Canada
Chile
Mexico
Honduras
South
Korea
Panama
Paraguay
Japan
UK
Guatemala
2019 Exports
to Count
ry
of
US Beer
Qty
1
$112m
$106m
$58m
$53m
$53m
$27m
$26m
$22m
$20m
$20m
Rank
1
2
3
4
5
6
7
8
9
20
5
–
year
Export
Growth
Change
0.8
–
27%
123%
–
27%
802%
440%
8%
14
%
275%
–
7%
1085%
Ran
k
9
5
10
2
3
7
6
4
8
1
2019 Import
to US of Beer
Qty
0.5
$109m
$11k
$3.9B
$235K
$4.5m
$38k
0
$
7.7m
$19m
$3.8m
Rank
9
2
10
4
7
3
1
6
8
5
Beer
Consumption
per capita
Liters
0.
5
55.7L
50L
68.7
L
15.9L
42.8L
76.8
L
32.8
41.4L
72.9
L
15L
Rank
4
5
3
9
6
1
8
7
2
10
Per Capita
Income
Amount
0.8
$4
7
k
$25k
$19k
$5k
$39k
25k
$13k
$42k
$4
5
k
$8k
Rank
1
5
7
10
4
6
8
3
2
9
Weighted
Score
15.5
13.5
23.1
20.1
17.1
1
8.4
22.7
20.1
22
35.5
Export Data from USITC Trade Database
H
S Code
2203000
0
Beer made from malt, in bottles holding
Quantity
Rank
Country
Year 2015
Year 2019
5 yr
Change
Change $
Sample of a draft decision matrix for the export of bottled malt beer
In the report will needed to be included the reasoning for selecting these indicators and weights
Top potential markets
1. Chile
2. Canada
3. South Korea
Criteria Wt. Canada Chile Mexico Honduras South
Korea
Panama Paraguay Japan UK Guatemala
2019 Exports
to Country of
US Beer
Qty
1
$112m $106m $58m $53m $53m $27m $26m $22m $20m $20m
Rank 1 2 3 4 5 6 7 8 9 20
5-year
Export
Growth
Change 0.8 -27% 123% -27% 802% 440% 8% 14% 275% -7% 1085%
Rank 9 5 10 2 3 7 6 4 8 1
2019 Import
to US of Beer
Qty 0.5 $109m $11k $3.9B $235K $4.5m $38k 0 $7.7m $19m $3.8m
Rank 9 2 10 4 7 3 1 6 8 5
Beer
Consumption
per capita
Liters 0.5 55.7L 50L 68.7L 15.9L 42.8L 76.8L 32.8 41.4L 72.9L 15L
Rank 4 5 3 9 6 1 8 7 2 10
Per Capita
Income
Amount 0.8 $47k $25k $19k $5k $39k 25k $13k $42k $45k $8k
Rank 1 5 7 10 4 6 8 3 2 9
Weighted
Score
15.5 13.5 23.1 20.1 17.1 18.4 22.7 20.1 22 35.5
Export Data from USITC Trade Database
HS Code 22030000 Beer made from malt, in bottles holding
Quantity
Rank Country Year 2015 Year 2019
5 yr
Change
Change $
