{"id":25197,"date":"2026-03-28T21:47:43","date_gmt":"2026-03-28T16:17:43","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=25197"},"modified":"2026-03-28T21:47:43","modified_gmt":"2026-03-28T16:17:43","slug":"title-comparative-analysis-of-tea-brand-preferences-hul-author-mosami-kumbhare-23","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25197","title":{"rendered":"Title – Comparative Analysis of Tea Brand Preferences (HUL) Author \u2013 Mosami kumbhare \u2013 23"},"content":{"rendered":"

Introduction \u2013 <\/span><\/b><\/p>\n

This study aims to analyze consumer preferences for popular tea brands offered by Hindustan Unilever Limited such as Taj Mahal Tea, Red Label Tea, 3 Roses Tea, and Taaza Tea.<\/span><\/p>\n

These brands are widely consumed in India and cater to different segments of tea drinkers. The study evaluates customer ratings on a numerical scale to determine whether there are significant differences in consumer perception across these brands. Statistical analysis using ANOVA (Analysis of Variance) is applied to draw conclusions.<\/span><\/p>\n

Objective – <\/span><\/b><\/p>\n

To compare the ratings of HUL tea brands and identify whether there is a significant difference in consumer<\/span><\/b><\/p>\n

Literature Review – <\/span><\/b><\/p>\n

Kotler and Keller (2016) explain that consumer preferences are strongly influenced by factors such as brand image, product quality, taste, and pricing. In highly competitive FMCG markets like tea, brands that successfully build trust and consistent quality tend to create stronger customer loyalty.<\/span><\/p>\n

According to Malhotra (2019), marketing research plays a crucial role in understanding customer perception through quantitative techniques such as rating scales and statistical tools like ANOVA. These methods help in identifying whether differences in consumer preferences across brands are significant or not.<\/span><\/p>\n

A study by Shang and Plaikaew (2025) highlights that brand awareness and perceived quality significantly impact purchase intention. Consumers are more likely to prefer brands that they recognize and associate with reliability and superior experience.<\/span><\/p>\n

Similarly, Singh and Upadhyay (2023) found that factors such as advertisement, brand reputation, and product attributes influence consumer buying behavior. Their research suggests that even within the same company, multiple brands can coexist by targeting different consumer segments.<\/span><\/p>\n

In the context of the Indian tea market, Hindustan Unilever Limited has developed a diverse portfolio including Taj Mahal Tea, Red Label Tea, 3 Roses Tea, and Taaza Tea, each catering to different taste preferences and price segments. This strategy allows the company to capture a wide consumer base while maintaining brand differentiation<\/span><\/p>\n

Data collection – <\/span><\/b><\/p>\n

The study aimed to compare the ratings of four Tea brands from HUL \u2014Taaza , Red label , Taj mahal , 3 roses \u2014based on user feedback. A total of 88 ratings were collected through surveys, with each brand receiving 22 responses. Participants rated each smartphone on a scale, and these ratings were compiled to calculate the total sum, average score, and variance for each brand.<\/span><\/p>\n

Data Analysis – <\/span><\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Anova: Single Factor<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

SUMMARY<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Groups<\/span><\/p>\n<\/td>\n

\n

Count<\/span><\/p>\n<\/td>\n

\n

Sum<\/span><\/p>\n<\/td>\n

\n

Average<\/span><\/p>\n<\/td>\n

\n

Variance<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Taj Mahal<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

147<\/span><\/p>\n<\/td>\n

\n

6.681818182<\/span><\/p>\n<\/td>\n

\n

8.893939394<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Red Label<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n

\n

163<\/span><\/p>\n<\/td>\n

\n

7.086956522<\/span><\/p>\n<\/td>\n

\n

8.083003953<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

3 Roses<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

132<\/span><\/p>\n<\/td>\n

\n

6<\/span><\/p>\n<\/td>\n

\n

8.285714286<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Taaza<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

139<\/span><\/p>\n<\/td>\n

\n

6.318181818<\/span><\/p>\n<\/td>\n

\n

9.560606061<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

ANOVA<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Source of Variation<\/span><\/p>\n<\/td>\n

\n

SS<\/span><\/p>\n<\/td>\n

\n

df<\/span><\/p>\n<\/td>\n

\n

MS<\/span><\/p>\n<\/td>\n

\n

F<\/span><\/p>\n<\/td>\n

\n

P-value<\/span><\/p>\n<\/td>\n

\n

F crit<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Between Groups<\/span><\/p>\n<\/td>\n

\n

14.80823378<\/span><\/p>\n<\/td>\n

\n

3<\/span><\/p>\n<\/td>\n

\n

4.936077926<\/span><\/p>\n<\/td>\n

\n

0.567463853<\/span><\/p>\n<\/td>\n

\n

0.63795288<\/span><\/p>\n<\/td>\n

\n

2.7119214<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Within Groups<\/span><\/p>\n<\/td>\n

\n

739.3715415<\/span><\/p>\n<\/td>\n

\n

85<\/span><\/p>\n<\/td>\n

\n

8.698488724<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Total<\/span><\/p>\n<\/td>\n

\n

754.1797753<\/span><\/p>\n<\/td>\n

\n

88<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

The ANOVA test was conducted to determine whether there are significant differences in the average ratings of the tea brands.<\/span><\/p>\n