Presentation1 b prelim data
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Transcript of Presentation1 b prelim data
Timeline
MARKETING RESEARCHPreliminary Results
RESEARCH OBJECTIVESA REVIEW
DATA COLLECTIONRESEARCH METHODS
MARKET OVERVIEWTHE PIE
MARKET CAPITALIZATIONOUR PIECE
PROSPECT ANALYSISTHE REST
NEXT STEPSWHERE ARE WE GOING?
CONCLUSION
TimeLine
Research Objectives
• How big is the pie?
• How big is our piece?
• What do we know about the rest of the pie?
(ingredients)
DATA COLLECTIONHow was it done?
1
Data Gathering
• “Secondary” Data• 9000 Units
• MEMLINK• Definition of Geo Area• Key Identifiers
2
Data Cleaning
• NAICS Identifiers• Removing of duplicates
3
Data Merging
• Export to Excel• Choice of Keys• Removal of duplicates
Our Data Collection Process
MARKET OVERVIEW“The Pie”
GEO-Analysis.WHERE IS EVERYONE?
The Okanagan accounts for the majority of
firms located in our region.
Kamloops alone accounts for almost ¼ of
the market within the specified territory.
East Kootenay5.84%
�Kamloops22.98%
�Other 4.98%
West Kootenay10.68%
�Vernon19.18%
Penticton
8.44%
Kelowna27.90%
Categorical Distribution
• General contractors dominate
the market with 52%
– High turnover rate
• Trade contractors accounting
for almost ¼ of firms meeting
criteria
– Differences between the two
will be interesting
• Professionals firms account for
a surprising 18% of current
market.
Associate1%
Public Buyers
1%
General Contractor
52%
Manufacturer/Supplier
5%
Professional18%
Trade Contractor
23%
MARKET CAPITALIZATION“Our Piece”
Market Overview
Members17%
Non Members
83%
members matching criteria
prospects matching criteriaWe capture 17.3% of the total market
602
2878
Our Members
Associate3%
Associate -Public Buyers
6%
General Contractor
18%
Manufacturer/Supplier
19%
Professional5%
Trade Contractor
49%
Who are they?East
Kootenay6.31%
Kamloops21.76%
Other5.32%
West Kootenay
5.65%
Vernon11.30%
Kelowna44.19%
Penticton5.48%
Where are they?
Member Category Distribution
Associate
��Associate -Public Buyers
��General Contractor
��Manufacturer/Supplier
Professional
��Trade Contractor
Grand Total
Region East Kootenay 0 7 7 6 0 18 38
Region Kamloops 3 4 25 23 7 69 131
Region Other 4 0 6 11 1 10 32
Region West Kootenay 0 7 6 2 2 17 34
Region Vernon 2 9 12 9 3 33 68
Region Kelowna 6 6 48 58 19 129 266
Region Penticton 0 6 4 6 1 16 33
0
50
100
150
200
250
300
PROSPECT ANALYSISThe Rest
Geographical Overview (Prospects)
East Kootenay5.84%
Kamloops25%
Other 12%West
Kootenay14%
Vernon20.88%
Penticton9.10%
Kelowna24.22%
Categorical Overview(Prospects)
��Associate - Public Buyers
0%
��General Contractor
59%
��Manufacturer/Supplier2%
Professional21%
��Trade Contractor18%
Category vs. Location (Prospects)
General ContractorManufacturer/Suppli
erProfessional Trade Contractor
East Kootenay 76 1 17 74
Kamloops 236 15 115 307
Other 63 1 25 53
West Kootenay 116 3 88 128
Vernon 216 11 106 268
Kelowna 198 18 168 313
Penticton 86 4 62 110
0
50
100
150
200
250
300
350
East Kootenay
Kamloops
Other
West Kootenay
Vernon
Kelowna
Penticton
Sales vs. Location(Prospects)
A ( <0.5)B (0.5 <X<1)
C (1<X<2.5)
D (2.5<X<5)
E (5<X<10)
F (10<X<20
)
G (20<X<50
)
East Kootenay 56 65 43 4
Kamloops 214 243 168 35 10 3
Kelowna 234 255 164 35 9
Other 50 48 32 8 1 1 2
Penticton 78 113 59 10 2
Vernon 192 233 140 32 4
West Kootenay 130 123 67 11 3 1
0
50
100
150
200
250
300 Sales Measured in Millions (per Annum)
East Kootenay
Kamloops
Kelowna
Other
Penticton
Vernon
West Kootenay
• Sales data is a determinant of potential member fees• Kamloops has the highest frequency of firms with > 1 million in sales
Kamloops Region(Overview)
Associate0%
Associate -Public Buyers
1%
General Contractor
32%
Manufacturer/Supplier
5%
Professional15%
Trade Contractor
47%
• 2nd lowest (tied) for proportion of Professional firms
• Very representative of the current market (hyp)
– Important for testing new launches etc
Kamloops Region (Overview, cont)
61%
28%
9%
2%
0% 0%
0%
Company Size
A (1<X<4)
B (5<X< 9)
C (10 <X< 19)
D (20 <X< 49)
E (50 <X< 99)
F (100 <X< 249)
G (250 <X< 499)
• ≈ 89% of companies in this region have <10 employees
• 2nd highest proportion of companies with >$10 Million in sales– Very important for forecasting
32%
36%
25%
5%
2%
0%
0%
Sales Volume
A ( <0.5)
B (0.5 <X<1)
C (1<X<2.5)
D (2.5<X<5)
E (5<X<10)
F (10<X<20)
G (20<X<50)
Kamloops Region (Our Piece)
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Associate
Associate - Public Buyers
General Contractor
Manufacturer/Supplier
Professional
Trade Contractor
AssociateAssociate -
Public BuyersGeneral
ContractorManufacturer/
SupplierProfessional
Trade Contractor
No 0 0 427 10 116 120
Yes 3 4 25 23 7 69
• Better representation among this regions trade contractors and manufacturers
• Very little representation in this region’s 2nd largest group -GCs
NEXT STEPSWhat can we do with this data?
Modeling Member Behavior
Develop
Primary
Materials
Identify
Target
Gather
Primary
Data
ASSESS
Gather
Secondary
Data
Conduct
Direct
Initiatives
Conduct
Indirect
Initiatives
Create
Differentiated
Materials
CONCLUSION“Thanks for Watching”