Nostalgia: The Marketer's Elusive Dream

Challenging industry assumptions by proving nostalgia's surprising negative impact on consumer purchasing decisions

Abstract image representing nostalgia and dreams

Project Overview

In an era where companies like Disney invest heavily in remake-driven nostalgia marketing, I set out to investigate a fundamental question that was surprisingly underexplored: Does nostalgia actually increase purchase intent for physical products?

The study aimed to help marketers make evidence-based decisions by empirically testing the relationship between nostalgia and consumer decision-making. Previous research suggested that stress could decrease purchase intent, while nostalgia could increase a sense of safety. My hypothesis was that nostalgia might lead to higher purchase intent by reducing stress. However, the results revealed something unexpected that challenges conventional marketing wisdom.

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Goal

To determine whether experiencing nostalgia before a purchase decision leads to higher levels of purchase intent, with stress as a potential moderator.

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Timeline

April-May 2023, with participant recruitment between April 5 and April 20, 2023.

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Role

Lead Researcher: Designed the study, developed survey instruments, conducted statistical analysis, and authored the research paper.

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Tools & Technologies

Qualtrics (survey development), SPSS, R-Studio (statistical analysis), Pearson's correlation, Regression analysis.

Challenge & Solution

The Challenge

Major entertainment companies and brands invest billions in nostalgia-driven content and marketing, yet there was a surprising lack of empirical research on whether nostalgia actually drives purchase intent for physical products. This created an opportunity to challenge established marketing practices with data-driven insights.

  • An increasing trend in nostalgia-driven movies and media without solid research backing its effectiveness
  • Limited understanding of how nostalgia affects purchase decisions for physical products
  • Lack of scientific basis for substantial marketing budget allocations toward nostalgia-based strategies
  • Conducting meaningful research with zero budget and limited resources

The Solution

I designed a correlational non-experimental study to evaluate the effects of nostalgia (predictor variable) and stress (moderator variable) on purchase intent (outcome variable). By developing an evidence-based approach with validated measurement instruments, I could empirically test the relationship between these variables.

  • Implemented a survey-based methodology using Qualtrics to measure nostalgia, stress, and purchase intent
  • Utilized the validated PSS-10 (Perceived Stress Scale) questionnaire to measure stress levels
  • Created a modified version of established nostalgia and purchase intent measurement scales
  • Conducted correlation and moderation analyses using R-Studio to identify relationships between variables
Scatter plot showing the negative correlation between Nostalgia and Purchase Intent

Scatter plot showing the negative correlation between experienced nostalgia and purchase intent, contradicting common marketing assumptions.

Process & Methodology

The research process involved a carefully designed methodology to test the relationship between nostalgia and purchase intent, with stress as a potential moderating factor. I approached this study with scientific rigor while working within the constraints of limited resources.

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Literature Review & Hypothesis Development

I began by conducting a comprehensive review of existing research on nostalgia, consumer behavior, and stress. Based on previous studies suggesting that nostalgia could increase a sense of safety (Kusumi et al., 2019) and that stress can decrease purchase intent (Pappas et al., 2017), I formulated the hypothesis that higher nostalgia would lead to lower stress, which would then lead to higher purchase intent.

Collage representing the trend of nostalgia-driven content in media
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Survey Design & Participant Recruitment

I designed a Qualtrics survey with three main components: the PSS-10 questionnaire to measure stress, a modified nostalgia scale, and a purchase intent scale. To measure nostalgia, I used images of iconic generational products (e.g., silly bands for Gen Z) with a 5-point Likert scale. For purchase intent, I showed neutral, ungendered products with a 5-point scale asking about likelihood of purchase. I recruited 40 participants through social media platforms and word-of-mouth, with an Amazon gift card raffle as an incentive.

Qualtrics survey design elements for nostalgia study
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Data Collection & Analysis

After collecting survey responses, I cleaned the data by removing one incomplete submission. I then conducted statistical analyses using R-Studio, including a Pearson's product-moment correlation to analyze the relationship between nostalgia and purchase intent, and a regression analysis to test whether stress moderated this relationship. The data was carefully analyzed to ensure statistical validity despite the limited sample size.

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Results Interpretation & Paper Development

The final step involved interpreting the statistical results and developing a comprehensive research paper. I focused on explaining the unexpected negative correlation between nostalgia and purchase intent, discussing the implications for marketing strategies, and acknowledging the study's limitations while suggesting directions for future research.

Results & Impact

The research yielded surprising findings that challenge conventional marketing wisdom and provide valuable insights for marketers, content creators, and businesses leveraging nostalgia in their strategies.

0.44
Correlation Coefficient
A significant positive correlation between nostalgia and lower purchase intent, contradicting the assumed positive relationship.
p=0.004
Statistical Significance
The correlation was highly significant (p<0.05), providing strong evidence for the inverse relationship between nostalgia and purchase intent.
23.93%
Variance Explained
The model explained 23.93% of the variance in purchase intent with a significant p-value of 0.01, indicating a robust model fit.

Key Findings

Beyond the numbers, this research uncovered several important insights with significant implications for marketing strategies:

  • Unexpected Negative Relationship: Contrary to widespread industry practice, higher levels of nostalgia led to lower purchase intent for neutral products shown afterward.
  • Stress Did Not Moderate: The hypothesis that stress would moderate the relationship between nostalgia and purchase intent was not supported, suggesting other factors may be at play.
  • Evidence-Based Marketing: The findings suggest that companies should critically evaluate their nostalgic marketing strategies, as the assumed positive effect on purchase intent may be unfounded or even counterproductive.

"This research highlights the importance of evidence-based decision making in marketing. Despite the entertainment industry's heavy investment in nostalgia-driven content, our data suggests that marketers should be cautious when leveraging nostalgia in their branding and advertising strategies, as it may not always lead to positive outcomes."

— From the research paper conclusion

Reflection & Learnings

This research project provided valuable insights not only about the relationship between nostalgia and consumer behavior but also about conducting meaningful research with limited resources. The experience reinforced the importance of questioning industry assumptions and the value of data-driven decision making.

What Worked Well

  • Survey design that utilized established psychological scales helped ensure measurement validity
  • Offering an Amazon gift card raffle effectively motivated participation despite zero budget
  • Using R-Studio and SPSS for statistical analysis provided robust findings despite the small sample size

Challenges & Solutions

  • Limited sample size (n=39) was addressed by carefully analyzing statistical significance and effect sizes
  • Sample skewness toward highly stressed younger participants was acknowledged as a limitation for future research
  • The use of unvalidated measures for nostalgia and purchase intent was mitigated by basing them on previously used scales in published research

Future Considerations

  • Expand the sample size and diversify the demographic distribution to increase generalizability
  • Explore the effects of positive versus negative nostalgia through neuroimaging or physiological measures
  • Investigate alternative moderators beyond stress that might influence the nostalgia-purchase intent relationship

Personal Takeaway

This research demonstrated that curiosity and critical thinking can lead to valuable insights even with minimal resources. By questioning industry assumptions about nostalgia marketing, I gained practical experience in research methodology and statistical analysis while discovering surprising findings that challenge conventional wisdom. This project reinforced my belief that evidence-based approaches should guide business decisions, rather than untested assumptions that may be costing companies millions in misallocated marketing budgets.

Download Research Paper

Interested in the complete research findings? Download the full research paper that details the methodology, results, and implications of this study.

Download Full Research Paper (PDF)