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MSc Thesis Defence

Steven van Middendorp

July 8, 2020

Improving promotion image

&

Gaining share-of-wallet

(2)

AGENDA

Introduction

conceptual framework

Hypotheses &

Methodology

1

2

3

04

Results

Conclusion & discussion

Limitations

(3)

INTRODUCTION

Share-of-wallet

Promoting private label brands is generally less effective Promotional pressure: • NB: 24% (2016) • PL: 13% (2016) Done by offering sales

Promotional pressure (2016): • EU: 28.1%

• UK: 51.5% • NL: 25.5%

Perishable vs

non-perishable Promotion Image

NB vs PL Promotional

pressure

Promotions only affect short-term sales due to

cherry picking For retailers to sustain success in marketplace, it is

therefore key to have a positive promotion image as this is related to purchase

attention Non-perishable product more

sensitive to promotions and have lower threshold effects &

higher saturation effects Less limited in stockpiling

non-perishable products And it leads to a reduction of

inventory cost Multiple-store shopping behavior Share-of-wallet competition Retailer improves performance, goal:

larger share of the consumers’ budget

Literature gap Promotion image mostly

studied as part of store image

(4)

H1A: promotion intensity for national brands has a

positive relationship with promotion image

H1B: promotion intensity for private labels has a

positive relationship with promotion image

H2A: promotion intensity for national brands has a

positive relationship with SOW

H2B: promotion intensity for private labels has a

positive relationship with SOW

Hypotheses:

(5)

H3A: promotion depth of non-perishable food-products has

a positive effect on promotion image

H3B: promotion depth of non-food products has a positive

effect on promotion image

H3C: promotion depth of perishable food-products has a

negative effect on promotion image

H4A: promotion depth of non-perishable food-products has

a positive effect on SOW

H4B: promotion depth of non-food products has a positive

effect on SOW

H4C: promotion depth of perishable food-products has a

negative effect on SOW

Hypotheses:

(6)

H5: promotions of national brands are positively

related to promotion image

H6: promotions of national brands are positively

related to SOW.

H7: absolute promotion value has a positive

relationship with promotion image.

H8: absolute promotion value has a positive

relationship with SOW.

Hypotheses:

(7)

H9A: deal-proneness positively influences the

relationship between promotion intensity and

promotional image

H9B: deal-proneness positively influences the

relationship between promotion depth and

promotional image

H9C: deal-proneness positively influences the

relationship between type of brand promotions and

promotional image

H9D: deal-proneness positively influences the

relationship between absolute promotion value and

promotional image

Hypotheses:

(8)

H10A: deal-proneness positively influences the

relationship between promotion intensity and SOW

H10B: deal-proneness positively influences the

relationship between promotion depth and SOW

H10C: deal-proneness positively influences the

relationship between type of brand promotions and

SOW

H10D: deal-proneness positively influences the

relationship between absolute promotion value and

SOW

Hypotheses:

(9)

METHODOLOGY

EFMI Shopper Monitor

Promotion Image

Share-of-wallet

Control variables

Superscanner.nl

Promotion intensity

Promotion depth

Type of brand promotions

Absolute promotion value

KMO: 0.86 (KMO > 0.5)

Bartlett’s test significant (P < 0.05)

Eigen values: 1 factor

Cronbach’s Alpha: 0.88 (α > 0.7)

Number of NB & PL products for AH: replaced Number of NB for Dirk: replaced

All variables for Hoogvliet: deleted Other variables for Dirk: deleted In general: week 15 & 28 removed due to crawling mistake

(10)

RESULTS | Multicollinearity & Model assumptions

Multicollinearity

Heteroskedasticity

Autocorrelation

Non-normality

• Promotion intensity & absolute promotion value

• Solved by summing up PI for NB & PL • Promotion intensity overall

• Autocorrelation for PI: Plus & Hoogvliet • All other models: no

autocorrelation

• No heteroskedasticity for Hoogvliet (PI & SOW) • All other models:

heteroskedasticity

(11)

RESULTS | Pooled models

Positive effect on SOW Positive effect:

• Non-perishable food-products on promotion image

• Non-food products on promotion image

Positive effect on promotion image & SOW

Positive effect:

• Non-perishable food-products on promotion image

• Positive effect of absolute promotion value on promotion image & share-of-wallet

Negative effect:

• Perishable food-products on SOW

Promotion intensity

Promotion Depth

Share of national

brands

Absolute

promotion value

deal-proneness

Moderation:

No main effects

• Contradicting expectations: negative effect of promotion intensity on promotion image (also with moderation) • R² - promotion Image: 0.213

(12)

RESULTS | Unpooled models

No effects No effects Positive effects:

• Non-perishable food-products on promotion image • Share-of-NB on share-of-wallet Positive effect: • Non-perishable food-products on share-of-wallet Negative effect: • Perishable food-products on share-of-wallet Positive effect: • Perishable food-products on share-of-wallet when moderated by deal-proneness

• Additional analyses: adding promotion image as an explanatory variable to the model predicting SOW does not improve the model as such that more effects are revealed

R² - promotion image: 0.217

(13)

CONCLUSION & DISCUSSION

Formally no conclusions due lack of significant variables across unit-by-unit models. However,…

SATURN

Unpooled models

Pooled models

Chow-test or

more data

• Chow-test assumes homoskedasticity • Heteroskedasticity in the unpooled models • Therefore, outcome Chow-test unreliable

• Which means that conclusions of pooled models could be allowed for hypotheses testing

• Deeper promotions for non-perishableand non-food products leads to a higher promotion image • For deal-prone consumer, the effect of promotions for non-perishableproducts is even higher

• Promoting more national brands and less private label brands is effective in gaining a higher promotion image & more share-of-wallet • For deal-prone consumers, deeper promotions of non-perishableproducts leads to a higher promotion image

• For deal-prone consumers, deeper promotions of perishableproducts leads to a lower promotions image

(14)

LIMITATIONS

Issue between

promotion intensity

and share-of-NB

Shopper Monitor

Dutch respondents

“What people say”

Data

(15)

Thank you for

your attention

Any questions?

Steven van Middendorp

steven.van.middendorp@student.rug.nl

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