AP RESEARCH · DANUSH MURUGESAN
Perceived Quality
versus Actual Quality
in Fragrances
Background & Justification
Why does this research matter?
68%
of U.S. adults
wear fragrance
Wilson, 2018
+15%
annual price
increase per year
Kavianz/CNN, 2022
$74B
global fragrance
market size
Grand View, 2025
$2.71B
fragrance dupe
market value
ShelfTrend, 2025
THE RESEARCH GAP: No research study has actually tested the perceived quality and longevity of dupes versus designer fragrances, this study aims to close the gap by testing to see if dupes perform similar to designer fragrances.
Garvin's 8 Dimensions of Quality
Garvin, 1984
Performance
How long does the fragrance last?
Features
The top, middle, and base notes
3
Reliability
Consistency across repeated trials
4
Conformance
Meets the claims
5
Durability
How long the fragrance lasts on the shelf
1
Serviceability
Return experience, customer support
7
Aesthetics
Bottle design, packaging, visual appeal
8
Perceived Quality
What people think is the higher in quality
6
2
Research Question & Hypothesis
RESEARCH QUESTION
How do Garvin's dimensions of quality account for the higher perceived quality of branded fragrance companies relative to affordable dupe companies, and to what extent does this perceived quality reflect actual product quality?
HYPOTHESIS
If designer fragrances ask for premium prices due to a higher perceived “quality”, then the dupe fragrances will show a comparable actual performance through volatility, because they have similar top, middle, and base notes.
The Fragrances (Designer)
The Fragrances (Dupes)
Volatility
Methodology & Experimental Design
Adapted from Vuilleumier et al. (1995) EXPERIMENTAL RESEARCH
FRAGRANCES TESTED
Lattafa Khamrah (Dupe)
Unisex
Dossier Aromatic Bergamot (Dupe)
Men
Azalia Blushing Sugar (Dupe)
Women
Killians Angel Share (Designer)
Unisex
YSL MYSLF (Designer)
Men
Killians Love Don't Be Shy (Designer)
Woman
PROCEDURE
Weigh each paper tester strip (initial baseline)
3
Pour fragrances into identical sample bottles
4
Spray fragrance onto labeled tester strip
5
Record post-spray mass immediately
6
Let strips sit in controlled environment
7
Record mass at Hours 1, 2, 3, 4, and 5
8
Repeat all steps for 3 independent trials
1
2
1
Gather each of the materials
5 hours chosen due to most common length (Lomglassworks 2025)
Procedure Photos
Raw Data — Average Mass (g) Across 3 Trials
Fragrance | Type | Initial | After Spray | Hr 1 | Hr 2 | Hr 3 | Hr 4 | Hr 5 |
Lattafa Khamrah | Dupe | 0.320 | 0.329 | 0.325 | 0.321 | 0.321 | 0.322 | 0.320 |
Dossier Aromatic Bergamont | Dupe | 0.316 | 0.326 | 0.321 | 0.318 | 0.318 | 0.315 | 0.317 |
Azalia Blushing Sugar | Dupe | 0.315 | 0.328 | 0.323 | 0.320 | 0.318 | 0.318 | 0.317 |
Killians Angel Share | Designer | 0.319 | 0.327 | 0.326 | 0.322 | 0.321 | 0.320 | 0.319 |
YSL Myself | Designer | 0.320 | 0.327 | 0.327 | 0.324 | 0.323 | 0.320 | 0.322 |
Killians Love Don’t Be Shy | Designer | 0.317 | 0.326 | 0.324 | 0.321 | 0.319 | 0.319 | 0.318 |
Computed: Cumulative Mass Lost (g) Over Time
Formula: Mass Lost = After Spray Mass − Mass at Hour N (avg across 3 trials)
Fragrance | Type | Hr 1 Loss | Hr 2 Loss | Hr 3 Loss | Hr 4 Loss | Hr 5 (Total) |
Lattafa Khamrah | Dupe | 0.0037g | 0.0073g | 0.0077g | 0.0077g | 0.0087g |
Dossier Aromatic Bergamont | Dupe | 0.0050g | 0.0080g | 0.0083g | 0.0110g | 0.0090g |
Azalia Blushing Sugar | Dupe | 0.0053g | 0.0083g | 0.0103g | 0.0100g | 0.0113g |
Killians Angel Share | Designer | 0.0013g | 0.0050g | 0.0063g | 0.0073g | 0.0080g |
YSL Myself | Designer | 0.0007g | 0.0033g | 0.0053g | 0.0077g | 0.0057g |
Killians Love Don’t Be Shy | Designer | 0.0023g | 0.0050g | 0.0077g | 0.0077g | 0.0087g |
Dupe group avg loss by Hr 5: 0.0097g
Designer group avg loss by Hr 5: 0.0075g
Figure 1 — Cumulative Mass Lost Over Time: All 6 Fragrances
Average across 3 trials (grams)
Figure 2 — Total Mass Lost by Hour 5 Per Fragrance
Green- Dupe | Brown- Designer
Statistical Analysis (t-Test) Performed
p > 0.05
NOT STATISTICALLY
SIGNIFICANT
α = 0.05
DUPE GROUP AVG LOSS
0.0097g
DESIGNER GROUP AVG LOSS
0.0075g
Mean difference = 0.0022g — no meaningful performance gap between groups
What does p > 0.05 mean?�p > 0..05 means that the difference in mass loss between dupe and designer fragrances is not statistically significant, and it could be due to change. We can’t reject the null hypothesis as there is no evidence that designer fragrances last measurably longer than dupes. ��
p-value= 0.308
Degrees of Freedom= 3.45
t-statistic=1.19
Garvin's Dimensions To Findings (pt 1)
Dimension 1: Performance
Both groups lost comparable mass over 5 hours (avg diff = 0.0022g, p > 0.05). Although dupes lost a tiny bit more mass, according to the statistical analysis this was not statistically significant.
EQUAL
Dimension 2: Features
The dupes and designer fragrances feature similar base notes: the dupes are made to replicate the smell through the notes.
EQUAL
Dimension 3: Reliability
All 3 fragrances were consistently tested 3 times, showing consistent results all 3 times.
EQUAL
Dimension 4: Conformance
Dupes: They state that they will last a similar amount of time to the designer fragrance, along with smelling identical.
Designer: The designer fragrances state that they are high in quality and will last a significant amount of time.
EQUAL
Part 2
Dimension 7: Aesthetics
The designer fragrances have significantly better aesthetics as they have higher end bottle designs and packaging
DESIGNER
Dimension 8: Perceived Quality
The long lasting legacy of fragrance brands provide a significantly higher perceived quality, making them seem a lot better compared to dupes. (Beverland, M. 2005)
DESIGNER
Dimension 5 and 6
Outside the scope of this study, these relate more to the company than the product itself.
Conclusions
The null hypothesis is rejected, as the P-Value is greater an 0.05, showing that it is not statistically significant.
Limitations & Future Research Directions
Scale Precision
Sometimes the scale wasn’t fully precise, there were a few instances where the fragrance gained weight from the previous instance.
I would recommend using a scale that provides less anomalies, a more expensive and precise scale.
Paper Strips vs. Skin
Skin chemistry significantly affects fragrance diffusion (Vuilleumier et al., 1995).
While the strips test it on paper, it tests the actual fragrance, where as it can vary by each person’s skin. I would recommend to test on human subjects to see how it can vary through different skin chemistries.
Researcher Bias
As the researcher of this, I own the dupe company Azalia, meant to manufacture long lasting dupes that are comparable to designer fragrances. To mitigate this bias I incorporated multiple dupe companies rather than just mine. I would recommend using a lot more companies instead of just 3 to provide further applicability to all dupes.
5-Hour Test Window
Testing only to Hour 5 may not capture full evaporation differences between fragrances, returning back to the original weight of the paper. To mitigate this I would recommend doing multiple tests over a longer period of time, around 15 hours.
Implications
For Consumers
Meaningful for lower income consumers
For Quality Theory
Perceived quality can override objective performance in market value.
References
Vuilleumier, C., Flament, I., & Sauvegrain, P. (1995). Headspace analysis study of evaporation rate of perfume ingredients applied onto skin. International Journal of Cosmetic Science, 17(2), 61–76.
Garvin, D. A. (1984). What does "product quality" really mean? Sloan Management Review, 26(1), 25–43.
Wilson, L. (2018, December 3). U.S. adults may seek fragrances to reclaim their youth. CivicScience. https://civicscience.com
CNN Business. (2022, March 5). Why perfume prices are surging. https://www.cnn.com/2022/03/05/business/perfume-prices-surge
Ava Mayfair. (n.d.). What is a perfume dupe? https://avamayfair.com/what-is-a-perfume-dupe-fragrance-dupe/
ShelfTrend. (2025). Dupe fragrance marketplace analysis: Seller guide 2025. https://www.shelftrend.com
Grand View Research. (n.d.). Fragrances market size, share & trends analysis report. https://www.grandviewresearch.com
Beverland, M. (2005). Crafting brand authenticity: The case of luxury wines. Journal of Management Studies, 42(5), 1003–1029. https://doi.org/10.1111/j.1467-6486.2005.00530.x
Chemicool. (2020). Volatile definition. https://www.chemicool.com/definition/volatile.html
Lom Glassworks. (2025, July 29). How long does perfume last? The complete guide. https://www.lomglassworks.com/how-long-does-perfume-last/
Questions?