
ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
www.rsisinternaonal.org
Page 1186






DOI:
https://doi.org/10.51244/IJRSI.2025.1210000106


Faster lifestyle, long travel for employment, different time schedule of work, nature of life partners
employability, changes in work culture all drives the Consumers to prefer ready to cook food category of
products. Many Consumers prefer to eat instant and semi-cooked food products too. Food products like readily
made Parotta and chappathi, Rava Dosa mix, Upma mix, Vada batter, Idly and Dosa batter, Instant Noodles along
with readily available masala mix powders and paste assists the Consumers in preferring ready to cook and eat
categories of products. Among these products comes the readymade idly and dosa batter, preferred by different
age category and both Genders. This product helps people to save time, in preparing the batter and the time in
preparing it. This article highlights the influence of Age and Income on select study variables like Product
Perception, Brand Perception, Pricing, Convenience, Promotion and Packaging among the batter users in
Chennai city. This survey was conducted at Chennai among the Batter Consumers with the total of 433
Respondents.
Batter Consumers, Ready to Cook, Ready to Eat.

Indian Food Industry India is second largest producer of food next to China, and has the potential of being the
biggest with the food and agricultural sector. The total food production in India is likely to double in the next ten
years and there is an opportunity for large investments in food and food processing technologies. The Indian
food market is estimated at over US$ 182 billion, and accounts for about two thirds of the total Indian retail
market. Further, according to consultancy firm McKinsey & Co, the retail food sector in India is likely to grow
from around US$ 70 billion in 2008 to US$ 150 billion by 2025, accounting for a large chunk of the world food
industry, which would grow to US$ 400 billion from US$ 175 billion by 2025. The history of Indian Food has
experienced extensive immigration and intermingling through many descents. The Indian subcontinent has
benefitted from numerous food influences. Food has become a marker of religious and social identity in India
with varying taboos and preferences, which has also surrounded these groups to innovate widely with the food
sources that are deemed well enough. The study “Flavors of Incredible India-Opportunities in the Food Industry”
carried on by FICCI –Ernst &Young notes that the Indian Food industry is a significant part of the Indian
Economy with food constituting about 30% of the consumer wallet.

The Objective of the article is to highlight the influence of Age and Income on select study variables like Product
Perception, Brand Perception, Pricing, Convenience, Promotion and Packaging among the batter users in
Chennai city.

reviewed the recent trends in ready to cook or eat food products,
in this review they studied that, ready to eat food is category of food which comprised packed food products
used to direct consumption where ready to cook food are prepared with very little extra efforts. Fruits, vegetables,

ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
www.rsisinternaonal.org
Page 1187
cereals, pulses, meat, fish are major category of food which used for making ready to eat and ready to cook.
They concluded that, these types of food are healthy, convenient and accessible but excess intake can be harmful
to our health. Microbial safety is also important factor which determines quality, shelf life of product and human
health effects.
made a study to determine the factors affecting the purchase
decision of India’s and Malaysia’s consumers against the ready-to-eat (RTE) market. The total numbers of
respondents are 111. Online research and survey is made to collect the response. Based on the study it is found
that the factors influencing the consumer behaviour includes price, convenience, taste, and nutrition. Most of the
respondents are willing to make recommendation about MTR Foods.
the main of this study is to gain insights and understandings the growing market of
Ready to cook food and its demand in Bangladesh which may also establish priorities for further research. The
primary data is obtained by administering survey method, guided by a questionnaire to the people we will select
randomly which will be both physical and social media based. The secondary data is the review of articles which
have been collected on the topic from journals mentioned below. The survey is made with the sample size of 90
people. There is also an online survey executed to gather more insight. The sampling technique used simple
random sampling. Through this study they found out that consumers are still not convinced about the fact that
RTC foods are healthy or not. The consumers of Bangladesh had a sentiment towards the home cook food and
them preferred to have home cooked food as the culture established here like that way.

Questionnaires were circulated among the Batter Consumers at Chennai city. 433 Respondents among the Batter
users were contacted as Respondents to the Questionnaire adopted for the study.


Age
Mean
SD
F
Sig.
Product Perception
Below 31 yrs
3.359
0.527
4.252
.039
31-45 yrs
3.577
0.500
46-60 yrs
3.112
0.494
Above 60 yrs
2.970
0.525
The ANOVA result examining the influence of age on consumers’ perception of batter products reveals a
statistically significant difference among the four age groups (F = 4.252, p = 0.039). This indicates that age plays
an important role in shaping consumers’ product perception. The mean values show that respondents aged 31
45 years (Mean = 3.577) have the most favourable perception of batter products, followed by those below 31
years (Mean = 3.359). These groups tend to hold positive views about the quality, freshness, taste, hygiene, and
texture of ready-made batter. Their higher mean scores suggest that younger and middle-aged consumers are
more quality-conscious and experimental, appreciating the convenience and consistency offered by branded
batter products. In contrast, respondents aged 46–60 years (Mean = 3.112) and above 60 years (Mean = 2.970)
show relatively lower mean scores, indicating more neutral or cautious attitudes. The Post Hoc Bonferroni test
confirms that the significant differences exist between the younger groups (Below 31, 31–45, and 46–60 years)
and the Above 60 years category. This suggests that older consumers are less inclined to view batter products
positively, possibly due to traditional cooking preferences, lower trust in packaged foods, or health-related
apprehensions. Overall, the findings imply that product perception varies notably across age groups, with
younger and middle-aged consumers showing a stronger inclination toward the benefits of ready-made batter
products. Manufacturers and marketers can leverage this insight by targeting younger demographics through

ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
www.rsisinternaonal.org
Page 1188
messages emphasizing freshness, hygiene, and quality consistency, while educational campaigns or trust-
building strategies may be needed to increase acceptance among senior consumers.

Age
Mean
SD
F
Sig.
Brand Perception
Below 31 yrs
3.510
0.890
3.490
.043
31-45 yrs
3.294
0.881
46-60 yrs
2.896
0.867
Above 60 yrs
2.598
0.855
The ANOVA result examining the influence of age on consumers’ brand perception toward batter products
indicates a statistically significant difference among the four age groups (F = 3.490, p = 0.043). This finding
suggests that consumers’ perception of brand-related aspects such as brand loyalty, reputation,
trustworthiness, and familiarity varies notably with age. The mean scores reveal that respondents below 31
years (Mean = 3.510) and those aged 31–45 years (Mean = 3.294) exhibit more favourable opinions toward
branded batter products compared to older consumers. Younger consumers tend to be more brand-conscious and
trusting of established names, associating brands with assured quality, hygienic production, and modern
packaging. Their higher perception levels may stem from greater exposure to advertising, digital marketing, and
social media influences, which often shape brand preferences and trust. In contrast, respondents in the 46–60
years (Mean = 2.896) and above 60 years (Mean = 2.598) categories report comparatively lower levels of brand
perception. The Post Hoc Bonferroni test confirms that the significant difference exists particularly between the
Below 31 years and Above 60 years groups, highlighting a generational gap in attitudes toward branded batter
products. Older consumers may rely more on habitual choices, personal experience, or word-of-mouth rather
than brand image or advertising appeal. They might also perceive traditional or homemade batter as more
authentic and trustworthy than commercially branded options. Overall, the results indicate that younger
consumers place greater emphasis on brand image, visibility, and reputation, while older age groups exhibit
lower engagement with branding factors. Therefore, marketers should focus on digital and brand-driven
communication strategies targeting younger audiences while simultaneously implementing trust-building and
assurance-oriented messaging for older consumers to enhance brand acceptance across age segments.

Age
Mean
SD
F
Sig.
Pricing
Below 31 yrs
3.828
1.383
5.376
.020
31-45 yrs
3.382
1.366
46-60 yrs
3.345
1.320
Above 60 yrs
2.854
1.382
The ANOVA result examining the influence of age on consumers’ opinion toward pricing of batter products
reveals a statistically significant difference among the four age groups (F = 5.376, p = 0.020). This indicates that
consumers’ perception of pricing including views on affordability, value for money, and willingness to pay for
quality varies significantly based on age. The mean values show that respondents below 31 years (Mean = 3.828)
have the most favourable perception of pricing, followed by those aged 31–45 years (Mean = 3.382) and 46–60
years (Mean = 3.345). This suggests that younger and middle-aged consumers generally view batter products as
reasonably priced and offering good value for money. They are also more open to paying a premium for
convenience, hygiene, and consistent quality, as reflected in the questionnaire items emphasizing “value for
money” and “willingness to pay more for higher quality.” Conversely, the above 60 years group records the
lowest mean score (Mean = 2.854), indicating a relatively less favourable opinion of pricing. The Post Hoc

ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
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Page 1189
Bonferroni test confirms that the significant difference lies between the Below 31 years and Above 60 years
groups. This pattern suggests that older consumers are more price-sensitive, possibly due to fixed incomes or
conservative spending habits. They may perceive ready-made batter as costlier than homemade alternatives and
may not fully recognize the convenience and time-saving benefits that justify the price. Overall, the findings
reveal that younger consumers associate pricing with quality and convenience, while older consumers perceive
batter products as relatively expensive. Marketers can leverage this insight by promoting the cost-effectiveness
and practical benefits of batter products to senior consumers and by continuing to emphasize premium quality
and time-saving value propositions to appeal to younger age groups.

Age
Mean
SD
F
Sig.
Convenience
Below 31 yrs
3.167
0.330
2.679
.046
31-45 yrs
2.713
0.352
46-60 yrs
2.708
0.357
Above 60 yrs
2.697
0.355
The ANOVA analysis exploring the influence of age on consumers’ opinion toward convenience in relation to
batter products reveals a statistically significant difference among the four age groups (F = 2.679, p = 0.046).
This indicates that perceptions of convenience encompassing aspects such as time-saving, ease of preparation,
storage, and usage flexibility vary notably across age segments. The mean values show that respondents
below 31 years (Mean = 3.167) express the strongest agreement regarding the convenience of using ready-made
batter, while those aged 31–45 years (Mean = 2.713), 46–60 years (Mean = 2.708), and above 60 years (Mean =
2.697) display lower levels of agreement. The Post Hoc Bonferroni test confirms that the significant differences
exist between the Below 31 years group and all other age groups. This implies that younger consumers highly
value the ease, accessibility, and time efficiency offered by batter products. Their fast-paced lifestyles, frequent
work commitments, and preference for quick meal preparation make convenience a key purchase motivator.
Younger consumers, therefore, perceive ready-made batter as a practical alternative to traditional home
preparation, aligning with their need for modern, effortless cooking solutions. In contrast, middle-aged and older
respondents exhibit relatively neutral or moderate perceptions of convenience. They may still rely on homemade
batter preparation or consider readymade options as occasional substitutes rather than daily essentials. For older
consumers, familiarity with traditional cooking methods, perceived freshness concerns, or limited adaptation to
packaged food habits may reduce their appreciation of convenience-oriented benefits. Overall, the results suggest
that younger consumers are the most convenience-driven segment, strongly associating batter products with
comfort, efficiency, and lifestyle compatibility. Marketers can capitalize on this insight by positioning batter
products as modern, time-saving, and user-friendly solutions through targeted campaigns aimed at younger age
groups, while efforts to educate and reassure older consumers about safety, hygiene, and quality could enhance
adoption across all age brackets.

Age
Mean
SD
F
Sig.
Promotion
Below 31 yrs
2.695
0.350
1.603
.188
31-45 yrs
2.760
0.320
46-60 yrs
2.713
0.321
Above 60 yrs
2.792
0.347
The ANOVA result assessing the influence of age on consumers’ opinion toward promotion of batter products
reveals no statistically significant difference among the four age groups (F = 1.603, p = 0.188). This indicates
that consumers, regardless of their age, share relatively similar views on promotional activities related to batter
products. The mean scores are closely clustered, with respondents aged above 60 years (Mean = 2.792) showing

ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
www.rsisinternaonal.org
Page 1190
a slightly higher perception of promotional effectiveness, followed by the 31–45 years (Mean = 2.760), 46–60
years (Mean = 2.713), and below 31 years (Mean = 2.695) groups. However, these variations are not large enough
to represent statistically meaningful differences. This finding suggests that promotional tools such as
advertisements, social media campaigns, discounts, word-of-mouth referrals, and influencer endorsements are
equally received across all age groups. Regardless of generational differences, consumers tend to be aware of
promotional messages but may not consider them as decisive factors influencing their purchase behaviour.
Instead, they may depend more on product quality, convenience, or brand trust when choosing a batter product.
The results further imply that promotional influence remains relatively uniform among consumers of all ages,
reflecting that the batter product market has reached a stage of mature brand awareness, where advertising or
promotional efforts primarily reinforce existing preferences rather than alter them. In summary, while consumers
across age groups acknowledge promotional efforts, age does not significantly shape promotional
responsiveness. Therefore, marketers should continue maintaining consistent promotional communication across
age segments but could strengthen message personalization — for instance, emphasizing digital promotions for
younger buyers and informational or trust-building campaigns for older ones to improve the overall
promotional impact.

Age
Mean
SD
F
Sig.
Packaging
Below 31 yrs
2.753
0.607
.633
.594
31-45 yrs
2.804
0.578
46-60 yrs
2.862
0.616
Above 60 yrs
2.765
0.547
The ANOVA result assessing the influence of age on consumers’ opinion toward packaging of batter products
reveals no statistically significant difference among the four age groups (F = 0.633, p = 0.594). This indicates
that consumers across all age categories hold similar perceptions regarding packaging features, such as design
appeal, material durability, leak-proof quality, labeling clarity, and hygiene assurance. The mean scores are fairly
close, suggesting that packaging is uniformly appreciated and does not vary meaningfully with age.
This uniformity implies that packaging attributes meet the expectations of consumers across generations — from
younger buyers to older adults. Regardless of age, consumers recognize the importance of safe, convenient, and
well-labeled packaging in maintaining product freshness and quality. Hence, age is not a differentiating factor in
shaping opinions toward the packaging of batter products, as all consumers equally value packaging as a basic
quality indicator.







Product Perception
Less than Rs. 25001
2.886
0.543
4.578
.019
More than Rs. One
lakh, Rs.75001 to
Rs.100000 Vs. Less
than Rs. 25001
Rs.25001 to Rs.50000
3.132
0.498
Rs.50001 to Rs.75000
3.149
0.514
Rs.75001 to Rs.100000
3.514
0.502
More than Rs. One lakh
3.552
0.527
Product perception refers to consumers’ evaluation of product attributes such as quality, features, and usefulness.
The mean scores indicate a clear trend: households earning less than Rs. 25,001 (Mean = 2.886, SD = 0.543)
show the lowest perception of products, while consumers with income Rs. 75,001–Rs. 1,00,000 (Mean = 3.514,
SD = 0.502) and more than Rs. 1 lakh (Mean = 3.552, SD = 0.527) exhibit higher perception. Other income
groups (Rs. 25,001–50,000: 3.132, SD = 0.498; Rs. 50,001–75,000: 3.149, SD = 0.514) fall in between. ANOVA

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results (F = 4.578, p = 0.019) indicate significant differences in product perception across income levels. The
Posthoc Bonferroni test shows that higher-income groups (Rs. 75,001–1,00,000 and above Rs. 1 lakh) differ
significantly from the lowest-income group (less than Rs. 25,001). This suggests that higher-income consumers
evaluate products more critically, considering statements such as “I check product quality before purchase” and
“I prefer products with better features,” reflecting greater awareness and purchase involvement. This implies
that income positively influences product perception. Higher-income consumers likely have better exposure,
access to information, and the financial capacity to choose products based on quality and features, whereas
lower-income consumers may focus more on affordability. To conclude, income significantly affects product
perception, with higher-income consumers demonstrating more informed and critical evaluation of products.







Brand Perception
Less than Rs. 25001
2.594
0.851
3.385
.039
More than Rs. One
lakh Vs. Less than
Rs. 25001
Rs.25001 to Rs.50000
3.058
0.866
Rs.50001 to Rs.75000
3.159
0.918
Rs.75001 to Rs.100000
3.113
0.898
More than Rs. One lakh
3.462
0.866
Brand perception relates to trust, loyalty, and overall image associated with a brand. Mean scores show that
consumers with income more than Rs. 1 lakh (Mean = 3.462, SD = 0.866) perceive brands more favorably, while
those earning less than Rs. 25,001 (Mean = 2.594, SD = 0.851) show the lowest brand perception. Other groups
fall in between: Rs. 25,001–50,000 (3.058, SD = 0.866), Rs. 50,001–75,000 (3.159, SD = 0.918), Rs. 75,001–
1,00,000 (3.113, SD = 0.898). The ANOVA (F = 3.385, p = 0.039) confirms significant differences, with the
Posthoc test indicating that the highest-income group differs from the lowest-income group. This suggests that
higher-income consumers place greater emphasis on brand reputation, trustworthiness, and loyalty, consistent
with questionnaire statements such as “I prefer buying trusted brands” and “Brand influences my purchase
decisions.” Lower-income consumers may focus more on affordability and essential functionality rather than
brand prestige. Hence, Income significantly influences brand perception, with higher-income consumers being
more brand-conscious than lower-income groups.







Pricing
Less than Rs. 25001
2.740
1.348
4.382
.021
More than Rs. One
lakh, Rs.75001 to
Rs.100000 Vs. Less
than Rs. 25001
Rs.25001 to Rs.50000
3.331
1.382
Rs.50001 to Rs.75000
3.415
1.358
Rs.75001 to Rs.100000
3.600
1.449
More than Rs. One lakh
3.627
1.337
Pricing perception involves awareness of product cost and perceived value. Mean scores reveal a clear trend: the
lowest-income group (less than Rs. 25,001, Mean = 2.740, SD = 1.348) shows the least concern for pricing value
in terms of purchasing decisions, while higher-income groups, especially Rs. 75,001–1,00,000 (3.600, SD =
1.449) and more than Rs. 1 lakh (3.627, SD = 1.337), perceive pricing more actively. Intermediate groups: Rs.
25,001–50,000 (3.331, SD = 1.382), Rs. 50,001–75,000 (3.415, SD = 1.358). ANOVA results (F = 4.382, p =
0.021) indicate significant differences, with Posthoc Bonferroni test showing that higher-income groups differ
significantly from the lowest-income group. This indicates that higher-income consumers evaluate price in
relation to quality and value for money, reflecting statements like I compare prices before purchase” or “I

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consider whether the product is worth the cost.” Lower-income consumers may be constrained by affordability
and thus focus on price minimally in terms of value analysis. Therefore, Income significantly affects pricing
perception, with higher-income consumers paying more attention to cost-value considerations than lower-
income consumers.





Convenience
Less than Rs. 25001
2.801
0.357
.286
.887
Rs.25001 to Rs.50000
2.827
0.352
Rs.50001 to Rs.75000
2.841
0.330
Rs.75001 to Rs.100000
2.817
0.355
More than Rs. One lakh
2.774
0.347
Convenience relates to ease of product access, time-saving, and availability. Mean scores across income groups
are fairly close: less than Rs. 25,001 (2.801, SD = 0.357), Rs. 25,001–50,000 (2.827, SD = 0.352), Rs. 50,001–
75,000 (2.841, SD = 0.330), Rs. 75,001–1,00,000 (2.817, SD = 0.355), more than Rs. 1 lakh (2.774, SD = 0.347).
ANOVA results (F = 0.286, p = 0.887) indicate no significant difference, suggesting that convenience is
perceived similarly across all income groups. All consumers, regardless of income, value accessibility,
availability, and time-saving aspects in their purchase decisions, consistent with statements such as “I prefer
products that are easily available” or “Convenience influences my purchase decisions.” Therefore, Income does
not significantly influence convenience perception; all groups evaluate convenience similarly.





Promotion
Less than Rs. 25001
2.721
0.333
1.038
.387
Rs.25001 to Rs.50000
2.729
0.354
Rs.50001 to Rs.75000
2.764
0.332
Rs.75001 to Rs.100000
2.654
0.282
More than Rs. One lakh
2.790
0.355
Promotion reflects responsiveness to advertisements, offers, and discounts. Mean scores: less than Rs. 25,001
(2.721, SD = 0.333), Rs. 25,001–50,000 (2.729, SD = 0.354), Rs. 50,001–75,000 (2.764, SD = 0.332), Rs.
75,001–1,00,000 (2.654, SD = 0.282), more than Rs. 1 lakh (2.790, SD = 0.355). ANOVA results (F = 1.038, p
= 0.387) indicate no significant difference, showing that all income groups respond similarly to promotional
activities. Consumers across income levels seem to consider statements like “I am influenced by discounts or
promotional offers” in a comparable manner. Therefore, Promotion perception is consistent across income
groups, with no meaningful difference.





Packaging
Less than Rs. 25001
2.726
0.567
.924
.450
Rs.25001 to Rs.50000
2.801
0.606
Rs.50001 to Rs.75000
2.855
0.621
Rs.75001 to Rs.100000
2.885
0.631
More than Rs. One lakh
2.747
0.556

ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025
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Page 1193
Packaging perception includes aesthetics, protection, and information display. Mean scores: less than Rs. 25,001
(2.726, SD = 0.567), Rs. 25,001–50,000 (2.801, SD = 0.606), Rs. 50,001–75,000 (2.855, SD = 0.621), Rs.
75,001–1,00,000 (2.885, SD = 0.631), more than Rs. 1 lakh (2.747, SD = 0.556). ANOVA (F = 0.924, p = 0.450)
is not significant, indicating that packaging perception does not vary significantly with income. Consumers
across all income groups appear equally attentive to product packaging, as reflected in statements like “I consider
packaging before purchase.” To conclude, packaging perception is uniform across income groups.

Educational campaigns or trust-building strategies may be needed to increase acceptance among senior
consumers. Marketers should focus on digital and brand-driven communication strategies targeting younger
audiences while simultaneously implementing trust-building and assurance-oriented messaging for older
consumers to enhance brand acceptance across age segments. Age is not a differentiating factor in shaping
opinions toward the packaging of batter products, as all consumers equally value packaging as a basic quality
indicator. Income significantly affects pricing perception, with higher-income consumers paying more attention
to cost-value considerations than lower-income consumers.

1. Hossain, s. A. (2019). Research paper on consumers’ perception towards ready to cook food products.
Research gate.
2. Reginarokiah, r. R. (2020). Consumer behavior towards ready-to-eat (rte) market:a study of mtr foods.
International journal of applied business and international management.
3. Sushant Temgire, Anjan Borah, et al (2021).Recent trends in ready to eat/cook food products: A review.
The Pharma Innovation Journal 2021; 10(5): 211-217 DOI: https://doi.org/10.22271/tpi.2021.v10.i5c.6207
4. 