Presentation1 b prelim data

23
Timeline MARKETING RESEARCH Preliminary Results

Transcript of Presentation1 b prelim data

Page 1: Presentation1 b  prelim data

Timeline

MARKETING RESEARCHPreliminary Results

Page 2: Presentation1 b  prelim data

RESEARCH OBJECTIVESA REVIEW

DATA COLLECTIONRESEARCH METHODS

MARKET OVERVIEWTHE PIE

MARKET CAPITALIZATIONOUR PIECE

PROSPECT ANALYSISTHE REST

NEXT STEPSWHERE ARE WE GOING?

CONCLUSION

TimeLine

Page 3: Presentation1 b  prelim data

Research Objectives

• How big is the pie?

• How big is our piece?

• What do we know about the rest of the pie?

(ingredients)

Page 4: Presentation1 b  prelim data

DATA COLLECTIONHow was it done?

Page 5: Presentation1 b  prelim data

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

Page 6: Presentation1 b  prelim data

MARKET OVERVIEW“The Pie”

Page 7: Presentation1 b  prelim data

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%

Page 8: Presentation1 b  prelim data

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%

Page 9: Presentation1 b  prelim data

MARKET CAPITALIZATION“Our Piece”

Page 10: Presentation1 b  prelim data

Market Overview

Members17%

Non Members

83%

members matching criteria

prospects matching criteriaWe capture 17.3% of the total market

602

2878

Page 11: Presentation1 b  prelim data

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?

Page 12: Presentation1 b  prelim data

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

Page 13: Presentation1 b  prelim data

PROSPECT ANALYSISThe Rest

Page 14: Presentation1 b  prelim data

Geographical Overview (Prospects)

East Kootenay5.84%

Kamloops25%

Other 12%West

Kootenay14%

Vernon20.88%

Penticton9.10%

Kelowna24.22%

Page 15: Presentation1 b  prelim data

Categorical Overview(Prospects)

��Associate - Public Buyers

0%

��General Contractor

59%

��Manufacturer/Supplier2%

Professional21%

��Trade Contractor18%

Page 16: Presentation1 b  prelim data

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

Page 17: Presentation1 b  prelim data

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

Page 18: Presentation1 b  prelim data

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

Page 19: Presentation1 b  prelim data

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)

Page 20: Presentation1 b  prelim data

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

Page 21: Presentation1 b  prelim data

NEXT STEPSWhat can we do with this data?

Page 22: Presentation1 b  prelim 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

Page 23: Presentation1 b  prelim data

CONCLUSION“Thanks for Watching”