ABSTRACT

The study examined the strategies for enhanced industrial marketing efficiency; technology based approach, using SACLUX PAINT as empirical study. In the process of the research, the study adopted a sample size of 80 from a population of 100. A probability sampling method was adopted. Simple percentages was adopted in analyzing the primary data collected; while the hypothesis were tested using spearman product moment correlation. After the study, it was concluded that marketing strategies enhanced marketing efficiency in industrial marketing. Thus, the study recommended that advertising, with sales promotion, direct and data based marketing strategies should be adopted in the industrial marketing. 

TABLE OF CONTENT

Cover Page i

Title Page ii

Dedication iii

Acknowledgment iv

table of Content v

Abstract vi

List of Tables  vii

CHAPTER ONE

1.1 Introduction 1

1.2 Background of the study 1

1.3 Statement of problem 4

1.4 Objectives of the study 6

1.5 Research question 6

1.6 Research hypothesis 7

1.7 Significance of the study 7

1.8 Limitation of the study 8

Chapter two

2.1 literature review 10

2.2 Marketing Strategy 11 

2.3 Industrial Marketing: Asynopsis 12

2.4 The structure of distribution system 16

2.5 Number Of Channel Levels 17

2.6 Different Level Of Channel         19

2.7 Factors Considered Effective In Distribution 

      Strategy formation 20

2.8 Selective distribution strategy 21

2.9 Exlusive distribution strategy 21

2.10 Intensive marketing system 22

2.11 Intermediaries in the marketing system 22

2.12  Channel Conflicts And Controls Measures 23

2.12 Marketing Logistics: 25

2.13 Customer Service 26

2.14 Marketing Efficiency 28

Chapter three

Research methodology 30

3.1 Research design 30

3.2 Area of the study 30

3.3 Population of study 30

3.4 Sampling technique and method 31

3.5 Determination Of Sample Size 31

    3.6 Measurement Of Instrument 32

     3.7 Source Data 33

    3.8 Validity And Reliability Of Instrument 33

    3.9 Method Of Data Presentation And Analysis 34

   3.10 Model Specification 34

Chapter four

Data analysis and presentation 35

4.1 Distribution Administration 35

4.2: Personal Data 35

4.3: Hypothesis Testing 46

Chapter five

Summary, conclusion and recommendation 56

5.1 Summary 56

5.2 Conclusion 56

5.3 Recommendation 57

References