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The influence of fluctuations of consumer

confidence on mind-set metrics in the Dutch

automobile industry

Thesis Defense Stephan Hoving

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Academic relevance

● Black-box of mind-set metrics in combination with marketing-mix variables

● New context (durables)

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Previous research

● Increased predictive validity if mind-set metrics are included (Srinivasan et al., 2010)

● Mind-set metrics mediate the relationship between advertising and sales (Hanssens et al., 2014)

● Advertising increases brand equity (Huang & Sarigollu, 2014)

● Consumer behavior changes with the state of the

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Research questions

● What is the influence of advertising on mind-set metrics?

● What is the influence of mind-set metrics on sales levels?

● How does the relationship between advertising and

mind-set metrics, and mind-set metrics and sales levels change during contractions of consumer confidence

compared to expansions?

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Conceptual Model

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Methodology

● Mind-set metrics (based on AIDA model):

○ Advertising awareness

○ Consideration

○ Preference

○ Economic Preference

● Different car categories (based on 25 brands) ● Two methods to generalize (Added Z method or

Pooling data)

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Results

● Pooling not allowed → overall results using Added Z method

● Multicollinearity problems:

○ robustness checks (monthly level/dummy variable) ● Split data method (normal mediation test):

○ growth/decline periods

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Results (overall results)

● Positive relationship between advertising and sales ● Only awareness mediates relationship between

advertising and sales

● Advertising positively influences awareness and consideration

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Results (growth/decline periods)

● During decline periods advertising elasticities are (slightly) higher

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Conclusion

● Indication of hierarchy

● Advertising influences mind-set metrics, no sales conversion:

o Ability to buy cars

o Long purchase cycle

● Consumer confidence influences awareness:

o Information search behavior

o Cheaper products within category

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Limitations & further research

● Short time period

● One marketing-mix variable ● Intermediate product category ● Different channels

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