FROM TRUST CRISIS TO TRUST REBUILDING
A Case-Cum-Research Study of Patanjali’s Product
Controversies, Consumer Confidence, Business Risk and a Proposed “Shakti
Upahar” CSR Initiative for Women Aged 55+

Abstract
Patanjali emerged as one of India's most prominent
Ayurveda-oriented FMCG brands by combining indigenous positioning,
affordability, extensive distribution and strong consumer recognition. However,
controversies surrounding misleading health-related advertisements, regulatory
action against selected Ayurvedic products, allegations concerning honey
quality and a later dispute over cow-ghee quality created significant
reputational and regulatory challenges.
The present case-cum-research study examines whether
these controversies should be interpreted as evidence of an overall business
decline or, alternatively, as a trust and governance crisis occurring alongside
continued financial growth in important parts of the Patanjali group. The
distinction is important because Patanjali Ayurved's revenue from operations
declined from ₹7,533.88 crore in FY23 to ₹6,460.03 crore in FY24, whereas
Patanjali Foods reported revenue from operations of ₹31,721.35 crore in FY24,
₹34,156.97 crore in FY25 and ₹40,169.58 crore in FY26. Thus, the evidence does
not support a simple conclusion that “Patanjali is declining”; rather, it
indicates a more complex situation involving regulatory risk, consumer trust,
product-quality perceptions and structural growth in Patanjali Foods.
The study uses secondary-data analysis,
percentage-growth analysis, comparative financial analysis and a proposed
primary consumer survey methodology. The paper develops hypotheses relating
product-quality concerns, misleading claims, trust and purchase intention.
Since no primary survey observations were supplied, inferential consumer
statistics are presented as a research design rather than fabricated results.
The study further proposes “Patanjali Shakti Upahar”,
a phased CSR/social-support programme providing product kits of approximately
₹1,000 to economically vulnerable women aged 55+, with priority to widowed,
divorced, separated and never-married women. The paper argues that gifting
alone cannot repair damaged trust. CSR must be accompanied by transparent
quality assurance, evidence-based communication, independent testing, grievance
redressal and measurable social-impact reporting.
Keywords: Patanjali, consumer trust, product
quality, misleading advertising, Ayurveda, FMCG, CSR, women aged 55+, brand
reputation, business risk, regulatory compliance.
1. INTRODUCTION
The Indian FMCG market has increasingly witnessed
competition between conventional multinational brands and indigenous brands
positioned around Ayurveda, natural products, tradition and national identity.
Patanjali became an important example of this transformation.
The brand's rapid expansion was supported by
Ayurveda-based positioning, affordable pricing, extensive distribution and
strong association with Baba Ramdev and Acharya Balkrishna. The uploaded case
identifies three major structural vulnerabilities: dependence on charismatic
leadership, expansion across numerous product categories and repeated
regulatory friction surrounding health-related claims.
The central research problem is therefore not
merely:
“Is Patanjali's business declining?”
The more meaningful research question is:
“Can a consumer-trust and regulatory-compliance
crisis weaken a powerful indigenous FMCG brand even when parts of the Patanjali
business continue to grow financially?”
This distinction provides the foundation of the
present case.
2. CASE BACKGROUND
Patanjali Ayurved was co-founded by Baba Ramdev and
Acharya Balkrishna and expanded rapidly after 2006. Its competitive positioning
was built around:
Ayurveda;
Indian cultural identity;
affordable pricing;
mass distribution;
natural-product positioning;
strong founder visibility; and
aggressive promotional communication.
Its product portfolio expanded into toothpaste, personal
care, biscuits, juices, edible oils, honey, ghee, wellness products and
Ayurvedic medicines.
However, the same strategy created potential
vulnerabilities. The original case identifies brand dilution, dependence on
leadership personality and regulatory disputes over disease-related claims as
structural risks.
3. STATEMENT OF THE RESEARCH PROBLEM
Patanjali has experienced several high-profile
controversies involving:
misleading health-related advertising;
regulatory action involving Ayurvedic/pharma products;
allegations concerning honey purity;
quality concerns relating to cow ghee;
consumer complaints and negative publicity;
reputational pressure among some urban consumers.
The original case argues that these developments
could weaken consumer trust and create business risk.
However, the financial evidence requires a more
nuanced interpretation.
Patanjali Ayurved's revenue from operations fell by
approximately 14.25% between FY23 and FY24, but this was influenced by business
restructuring and transfer of businesses within the group. At the same time,
Patanjali Foods continued to report record revenues.
Therefore, the research problem is formulated as:
“To what extent do product controversies and
regulatory scrutiny constitute a threat to Patanjali's consumer trust and
long-term brand sustainability, despite continued financial growth in major
group businesses?”
4. OBJECTIVES OF THE STUDY
The study has the following objectives:
O1
To examine the major product-quality and advertising
controversies associated with Patanjali.
O2
To analyse the potential effect of regulatory
scrutiny on consumer trust.
O3
To distinguish between Patanjali Ayurved's financial
performance and Patanjali Foods' financial performance.
O4
To analyse whether the available financial data
support the proposition of overall business decline.
O5
To develop a research framework linking product
quality, regulatory compliance, consumer trust and purchase intention.
O6
To propose a CSR/social-support initiative for
economically vulnerable women aged 55+.
O7
To develop measurable indicators through which the
proposed CSR initiative can be evaluated.
5. RESEARCH QUESTIONS
RQ1
What are the major sources of reputational risk for
Patanjali?
RQ2
Have product and advertising controversies resulted
in an observable deterioration in the financial performance of Patanjali's
major business entities?
RQ3
Does consumer trust mediate the relationship between
perceived product quality and purchase intention?
RQ4
Can a transparent CSR initiative contribute to
rebuilding brand trust?
RQ5
Can “Shakti Upahar” become a sustainable social
programme rather than a short-term publicity campaign?
6. REVIEW OF THE CASE EVIDENCE
6.1 Misleading Advertising and Regulatory Scrutiny
One of the most serious controversies involved
health-related advertising.
The Supreme Court's August 2024 judgment documented
claims concerning the ability of Patanjali products to cure ailments such as
blood pressure, thyroid problems, diabetes and asthma, and examined violations
of undertakings given to the Court.
The supplied case reports that in April 2024 the
Uttarakhand State Licensing Authority suspended licences for 14 products
associated with Patanjali/Divya Pharmacy. The case also records subsequent
contempt proceedings and publication of public apologies.
Research implication
For an Ayurveda-oriented brand, credibility is a
strategic asset. A consumer who purchases a product because it is perceived as
natural, safe and trustworthy may react particularly strongly when the brand is
associated with misleading claims.
7. HONEY CONTROVERSY
Honey represents a particularly sensitive category
because consumers associate it with purity and naturalness.
The supplied case discusses allegations regarding
sugar-syrup adulteration and concerns arising from independent testing. It also
notes the importance of the issue because purity is central to Patanjali's
natural-product positioning.
Research interpretation
The paper does not treat allegations as legally
established facts. Instead, they are treated as reputational events capable of
influencing consumer perceptions.
This distinction is important in academic research:
Complaint/allegation → media exposure → consumer
perception → trust → purchase intention
is a research pathway, not proof that every
allegation is factually established.
8. COW GHEE QUALITY CONTROVERSY
The supplied case reports that a Patanjali cow-ghee sample
collected in 2020 failed specified quality tests at state and national
laboratories, particularly on the Reichert–Meissl value. A ₹1.4 lakh fine was
subsequently imposed on the manufacturer, distributor and retailer. Patanjali
disputed aspects of the testing and sampling process.
The research significance lies less in the monetary
size of the penalty and more in the symbolic importance of ghee.
Ghee is closely connected with:
Indian tradition;
household consumption;
religious practices;
purity;
nutrition; and
Patanjali's indigenous brand image.
Therefore, a quality controversy involving ghee can
generate a disproportionate reputational effect compared with the financial
value of the fine.
9. THE CRITICAL FINANCIAL QUESTION: IS PATANJALI
REALLY IN DECLINE?
This is where the present paper differs from a
simple narrative of decline.
The supplied case highlighted financial stress and
declining FMCG performance indicators.
However, updated company disclosures show that Patanjali
Foods recorded:
|
Financial Year |
Revenue from Operations (₹ crore) |
YoY Growth |
|
FY24 |
31,721.35 |
— |
|
FY25 |
34,156.97 |
7.68% |
|
FY26 |
40,169.58 |
17.60% |
Patanjali Foods itself described FY26 as a record
year, with revenue from operations crossing ₹40,000 crore.
The FY24–FY26 compound annual growth rate is
approximately:
CAGR = [(40,169.58 / 31,721.35)^(1/2) − 1] × 100
CAGR ≈ 12.53%
Interpretation
The financial evidence therefore rejects the
simplistic hypothesis:
“Patanjali as a business is experiencing continuous
financial decline.”
Instead, the more defensible conclusion is:
“Patanjali faces a significant trust and
regulatory-risk problem, while Patanjali Foods has simultaneously demonstrated
strong revenue growth.”
This distinction materially improves the academic
quality of the case.
10. PATANJALI AYURVED VS PATANJALI FOODS
A major analytical issue is the tendency to treat
the entire Patanjali group as one financial entity.
The available evidence shows:
|
Indicator |
Patanjali Ayurved |
Patanjali Foods |
|
Business nature |
Ayurveda/FMCG/wellness |
Edible oils/FMCG/food/HPC |
|
FY23/FY24 evidence |
Revenue from operations declined |
Revenue remained strong |
|
FY25 |
— |
₹34,156.97 crore revenue from operations |
|
FY26 |
— |
₹40,169.58 crore revenue from operations |
|
Primary risk examined |
Regulatory/brand trust |
Margin, commodity and FMCG execution |
|
Interpretation |
Greater reputational sensitivity |
Stronger current financial momentum |
Patanjali Ayurved's FY24 revenue from operations was
reported at ₹6,460.03 crore, down 14.25% from FY23. However, the reduction
cannot be interpreted simply as consumer rejection because group restructuring
and transfer of businesses affected comparability.
11. STATISTICAL ANALYSIS
11.1 Nature of Data
The present paper uses:
company financial disclosures;
reported regulatory events;
case evidence;
secondary demographic information;
publicly available company information.
No primary consumer questionnaire dataset was
supplied.
Therefore, inferential tests such as chi-square,
Pearson correlation and ANOVA cannot honestly be reported as completed tests of
consumer responses.
Instead, the paper uses appropriate secondary-data
calculations and provides a framework for future primary testing.
12. DESCRIPTIVE FINANCIAL ANALYSIS
Table 1: Patanjali Foods Revenue Trend
|
Year |
Revenue ₹ crore |
Absolute Change |
Growth % |
|
FY24 |
31,721.35 |
— |
— |
|
FY25 |
34,156.97 |
+2,435.62 |
+7.68% |
|
FY26 |
40,169.58 |
+6,012.61 |
+17.60% |
Finding
Revenue growth accelerated between FY25 and FY26.
The company's FY26 revenue was approximately 26.47%
higher than FY24.
Thus, financial evidence does not establish a
continuous decline in Patanjali Foods.
13. PROFITABILITY ANALYSIS
Patanjali Foods reported FY25 EBITDA of
approximately ₹2,079 crore and FY26 EBITDA, excluding exceptional items, of
approximately ₹1,931.52 crore. FY26 therefore presents an important distinction
between revenue growth and profitability pressure.
Table 2: Revenue–Profitability Interpretation
|
Indicator |
FY25 |
FY26 |
Interpretation |
|
Revenue from operations |
₹34,156.97 cr |
₹40,169.58 cr |
Strong growth |
|
Revenue growth |
— |
18.99% |
Positive |
|
EBITDA excluding exceptional items |
₹2,079.06 cr |
₹1,931.52 cr |
Lower |
|
EBITDA margin |
6.09% |
4.79% |
Margin pressure |
|
Overall conclusion |
Growth |
Growth + margin pressure |
Mixed performance |
Finding
The company demonstrates a revenue-growth/margin-pressure
paradox.
This is strategically important.
The business cannot be described as collapsing, but
neither can growth alone be interpreted as complete business health.
14. FMCG AS A HIGH-MARGIN GROWTH ENGINE
In FY26, the FMCG segment generated approximately
₹11,188 crore of annual revenue, representing about 27.6% of revenue from
operations, while contributing approximately 61.13% of annual EBITDA.
Table 3: FMCG Strategic Importance
|
Indicator |
FY26 |
|
FMCG annual revenue |
≈ ₹11,188 crore |
|
Share of company revenue |
27.60% |
|
Share of EBITDA |
61.13% |
|
Strategic implication |
High-margin growth engine |
Interpretation
This finding is particularly significant for the
case.
If consumer trust improves in the FMCG portfolio,
the company may have substantial potential to improve the quality of its
earnings.
Therefore:
Trust repair → FMCG credibility → stronger
premiumisation → better margins
can be considered a strategic pathway.
15. HYPOTHESIS DEVELOPMENT
For a future primary consumer survey, the following
hypotheses are proposed.
H01
There is no significant association between
perceived product quality and consumer trust in Patanjali.
H11
There is a significant association between perceived
product quality and consumer trust in Patanjali.
H02
There is no significant relationship between
perceived misleading advertising and consumer trust.
H12
There is a significant negative relationship between
perceived misleading advertising and consumer trust.
H03
There is no significant relationship between
consumer trust and purchase intention.
H13
There is a significant positive relationship between
consumer trust and purchase intention.
H04
There is no significant difference in Patanjali
purchase intention across different age groups.
H14
There is a significant difference in Patanjali
purchase intention across different age groups.
16. PROPOSED PRIMARY RESEARCH DESIGN
A future empirical study should collect data from
approximately 300 Patanjali consumers.
Suggested sampling
Population: Patanjali consumers in India
Sample size: 300
Sampling: Convenience/purposive sampling, with
demographic quotas
Suggested locations:
Madhya Pradesh
Uttar Pradesh
Rajasthan
Delhi-NCR
Maharashtra
Questionnaire dimensions
Each variable can be measured using a five-point
Likert scale:
1 = Strongly Disagree
2 = Disagree
3 = Neutral
4 = Agree
5 = Strongly Agree
17. VARIABLES FOR STATISTICAL TESTING
|
Variable |
Measurement |
|
Product Quality |
5-point Likert scale |
|
Product Purity |
5-point Likert scale |
|
Advertising Credibility |
5-point Likert scale |
|
Regulatory Trust |
5-point Likert scale |
|
Brand Trust |
5-point Likert scale |
|
CSR Perception |
5-point Likert scale |
|
Purchase Intention |
5-point Likert scale |
|
Repurchase Intention |
5-point Likert scale |
Demographic variables:
age;
gender;
income;
education;
residence;
occupation;
frequency of Patanjali purchase.
18. PROPER STATISTICAL TEST PLAN
Table 4: Statistical Tests
|
Research Objective |
Variables |
Appropriate Test |
|
Test relationship between quality and trust |
Quality, Trust |
Pearson/Spearman correlation |
|
Test advertising and trust |
Advertising, Trust |
Pearson/Spearman correlation |
|
Test trust and purchase intention |
Trust, Purchase intention |
Pearson correlation |
|
Compare purchase intention by age |
Age groups, Purchase intention |
ANOVA |
|
Compare two gender groups |
Gender, Trust |
Independent-samples t-test |
|
Test association between awareness and purchase |
Awareness × Purchase |
Chi-square |
|
Test questionnaire reliability |
Multiple Likert items |
Cronbach's alpha |
|
Identify underlying dimensions |
Quality, trust, CSR etc. |
Factor analysis |
|
Predict purchase intention |
Trust, quality, CSR |
Multiple regression |
19. WHY THESE TESTS ARE APPROPRIATE
19.1 Chi-Square Test
Chi-square is appropriate when both variables are
categorical.
For example:
Awareness of Patanjali controversy × willingness to
purchase
The null hypothesis would be:
H0: Awareness and purchase willingness are
independent.
19.2 Pearson Correlation
Pearson correlation can measure the direction and
strength of association between approximately continuous composite scale
variables.
For example:
Brand Trust ↔ Purchase Intention
Expected relationship:
Positive
19.3 Spearman Rank Correlation
Spearman correlation should be preferred if the data
remain ordinal or violate assumptions of Pearson correlation.
19.4 ANOVA
One-way ANOVA can examine whether mean purchase
intention differs among:
18–30;
31–45;
46–60;
61+.
Decision rule:
If p < 0.05 → reject H0.
19.5 Independent-Samples t-Test
This can compare mean trust scores between two
groups, such as:
male vs female;
controversy-aware vs controversy-unaware.
19.6 Cronbach's Alpha
Cronbach's alpha should be calculated for multi-item
constructs.
A commonly used interpretation is:
|
Alpha |
Interpretation |
|
≥ 0.90 |
Excellent |
|
0.80–0.89 |
Good |
|
0.70–0.79 |
Acceptable |
|
0.60–0.69 |
Marginal |
|
< 0.60 |
Weak |
20. PROPOSED REGRESSION MODEL
A multiple regression model can be specified as:
PI = β0 + β1PQ + β2AT + β3BT + β4CSR + ε
Where:
PI = Purchase Intention
PQ = Perceived Product Quality
AT = Advertising Trust
BT = Brand Trust
CSR = CSR Perception
ε = Error term
The expected signs are:
β1 > 0
β2 > 0
β3 > 0
β4 > 0
The model would allow researchers to determine which
factor has the greatest explanatory power for purchase intention.
21. CASE ANALYSIS: TRUST AS THE CENTRAL VARIABLE
The case suggests that the most important intangible
asset at risk is not merely sales but trust.
The relationship can be represented as:
Product controversy
↓
Negative media/public discussion
↓
Perceived quality uncertainty
↓
Lower brand credibility
↓
Reduced consumer trust
↓
Lower purchase/repurchase intention
↓
Potential long-term brand damage
However, the financial evidence indicates that this
chain is not automatically producing immediate group-wide revenue decline.
This is a crucial case finding.
Financial performance may lag reputational deterioration.
A company can continue growing while simultaneously
accumulating long-term trust risk.
22. CSR PROPOSAL: “PATANJALI SHAKTI UPahar”
22.1 Concept
The proposed initiative is a festival-based
social-support programme providing a product kit worth approximately ₹1,000 to
economically vulnerable women aged 55+.
Priority may be given to:
widowed women;
divorced women;
separated women;
never-married women;
women living alone;
economically vulnerable women.
The original case proposes the same broad concept and
identifies older women as a potentially underserved group.
23. OBJECTIVES OF SHAKTI UPahar
The programme should pursue two distinct objectives:
Social objective
To provide useful household, personal-care and
nutrition-oriented products to economically vulnerable older women.
Corporate objective
To rebuild trust through demonstrable social
responsibility.
The second objective must never dominate the first.
Otherwise, the programme risks being perceived as
advertising disguised as charity.
24. PROPOSED GIFT KIT
A ₹1,000 kit could contain a combination of:
Food products
ghee;
honey;
edible oil;
suitable food/health products.
Personal care
toothpaste;
soap;
shampoo;
aloe vera or similar personal-care product.
Wellness
Only products legally and medically appropriate for
the target group should be included.
The original proposal similarly suggests food,
personal-care and wellness items.
Important safeguard
The CSR programme should not make disease-cure
claims about products included in the kit.
25. PHASED IMPLEMENTATION MODEL
The original case estimates much larger possible
national scenarios, including one million, five million and ten million
beneficiaries.
However, a more financially prudent research
recommendation is to begin smaller.
Table 5: Recommended Pilot
|
Phase |
Beneficiaries |
Product Value @ ₹1,000 |
Purpose |
|
Phase I |
100,000 |
₹10 crore |
Pilot |
|
Phase II |
250,000 |
₹25 crore |
Expansion |
|
Phase III |
500,000 |
₹50 crore |
Multi-state |
|
Phase IV |
1,000,000 |
₹100 crore |
National-scale pilot |
These figures represent product-value assumptions
only. Logistics, administration, verification and impact-assessment costs must
be separately budgeted.
26. DELIVERY MODEL
The programme should use:
credible NGOs;
self-help groups;
municipal institutions;
community organisations;
elderly-welfare organisations;
suitable government-linked beneficiary databases,
subject to applicable privacy and legal requirements.
The original case similarly proposes SHGs, NGOs,
Anganwadi networks and local welfare institutions as delivery partners.
27. GOVERNANCE STRUCTURE
A credible CSR programme should establish a
three-level governance mechanism.
Level 1: Corporate CSR Committee
Responsible for:
budget;
policy;
programme design;
compliance.
Level 2: Independent Implementation Partner
Responsible for:
beneficiary identification;
distribution;
documentation;
grievance handling.
Level 3: Independent Social Auditor
Responsible for:
verification;
leakage assessment;
beneficiary feedback;
impact assessment.
28. KEY PERFORMANCE INDICATORS
Table 6: CSR Evaluation Framework
|
KPI |
Measurement |
|
Number of beneficiaries |
Actual beneficiaries |
|
Female beneficiaries 55+ |
% of total |
|
Vulnerable beneficiaries |
% |
|
Distribution completion |
% |
|
Leakage |
% |
|
Beneficiary satisfaction |
Mean score |
|
Brand trust before programme |
Mean score |
|
Brand trust after programme |
Mean score |
|
Purchase intention before |
Mean score |
|
Purchase intention after |
Mean score |
|
Complaints after programme |
Number |
|
Independent audit completion |
Yes/No |
29. CSR IMPACT HYPOTHESIS
A separate experimental or quasi-experimental study
can be conducted.
H05
There is no significant difference in brand-trust
scores before and after exposure to the Shakti Upahar programme.
H15
There is a significant improvement in brand-trust
scores after exposure to the Shakti Upahar programme.
For the same respondents measured before and after
the intervention, a paired-samples t-test can be used if assumptions are
reasonably satisfied.
If the data are substantially non-normal/ordinal,
the Wilcoxon signed-rank test would be an appropriate alternative.
This is a much more statistically defensible way of
testing whether CSR actually rebuilds trust.
30. COST–BENEFIT LOGIC
The proposal should not assume that every ₹1 of CSR
expenditure generates ₹1 of additional sales.
Instead, the programme should be evaluated through:
Social Benefit + Trust Improvement + Reputation
Improvement + Long-term Customer Retention
A simple CSR effectiveness index could be developed:
CSR Effectiveness Index =
0.30 Social Benefit
0.25 Trust Improvement
0.20 Beneficiary Satisfaction
0.15 Brand Reputation Improvement
0.10 Governance/Transparency Score
The weights should be validated through expert
consultation rather than treated as universally correct.
31. STRATEGIC RISK MATRIX
Table 7: Patanjali Risk Assessment
|
Risk |
Probability |
Impact |
Overall Risk |
|
Product-quality controversy |
High |
High |
Very High |
|
Misleading advertising allegation |
Medium–High |
High |
High |
|
Consumer trust erosion |
High |
High |
Very High |
|
Competitive pressure |
High |
Medium |
High |
|
Leadership/personality risk |
Medium |
High |
High |
|
CSR leakage |
Medium |
Medium |
Medium |
|
CSR perceived as publicity stunt |
High |
Medium |
High |
|
Financial burden of mass gifting |
Medium |
High |
High |
32. SWOT ANALYSIS
Strengths
Strong brand recognition;
indigenous/Ayurveda positioning;
extensive distribution;
broad product portfolio;
established FMCG presence;
strong FMCG growth within Patanjali Foods.
Weaknesses
reputational dependence on founders;
regulatory controversy;
trust concerns;
product-quality perception risk;
possibility of brand dilution.
Opportunities
evidence-based Ayurveda;
premium natural products;
transparent quality testing;
women-focused CSR;
elderly-care initiatives;
stronger urban consumer engagement.
Threats
stricter regulation;
competitor innovation;
negative social-media narratives;
quality-related incidents;
consumer switching;
retailer/channel pressure.
33. DISCUSSION
The central finding of this study is that financial
growth and reputational risk can coexist.
Patanjali Foods' financial trajectory demonstrates
strong growth:
₹31,721 crore → ₹34,157 crore → ₹40,170 crore
between FY24 and FY26.
At the same time, controversies documented in the
case create potential long-term trust costs.
Therefore, the study rejects a binary
interpretation:
“Patanjali is either successful or failing.”
Instead, the case demonstrates a dual condition:
Financial dimension
Strong growth in Patanjali Foods
Reputation dimension
Elevated regulatory and consumer-trust risk
Strategic implication
The company should therefore avoid responding to
controversy only through advertising.
The appropriate response is:
Quality → Compliance → Transparency → CSR → Consumer
Trust → Sustainable Growth
34. MANAGERIAL IMPLICATIONS
34.1 Establish Independent Quality Assurance
Third-party testing should be expanded for sensitive
categories such as:
ghee;
honey;
edible oils;
Ayurvedic products.
The original case recommends stronger
quality-control systems and publication of testing information.
34.2 Shift from “Cure” to “Evidence”
Health communication should be based on:
permitted claims;
scientific evidence;
regulatory compliance;
transparent product information.
34.3 Separate Founder Image from Product Credibility
The brand should increasingly communicate:
“The product is trustworthy because the system is
trustworthy.”
rather than:
“The product is trustworthy because the promoter
says so.”
34.4 Make CSR Measurable
The proposed Shakti Upahar programme should publish:
beneficiary numbers;
expenditure;
distribution geography;
audit findings;
grievance data;
beneficiary satisfaction;
social-impact results.
35. POLICY IMPLICATIONS
Regulators should ensure that:
misleading health claims are consistently monitored;
testing standards are transparent;
enforcement is brand-neutral;
consumer grievance systems are accessible;
quality failures are communicated clearly;
Ayurvedic and FMCG companies maintain evidence-based
communication.
36. LIMITATIONS OF THE STUDY
The study has several limitations.
First
The research is primarily based on secondary
information.
Second
No original consumer survey dataset was supplied;
therefore, actual consumer-level inferential statistics cannot be claimed.
Third
Media allegations and regulatory findings should not
be treated as equivalent evidence.
Fourth
Patanjali Ayurved and Patanjali Foods are different
entities and their financial figures should not be mechanically combined.
Fifth
The proposed CSR costs are scenario estimates rather
than an approved Patanjali budget.
Sixth
A direct causal relationship between controversy and
revenue cannot be established from the available data alone.
37. FUTURE RESEARCH AND ANALYTICAL FRAMEWORK
The present case establishes that Patanjali's
controversies cannot be evaluated solely through financial performance.
Product-quality perceptions, advertising credibility, regulatory confidence and
corporate social responsibility may jointly influence the consumer's overall
evaluation of the brand. Consequently, future empirical investigation should
examine the relationship between these variables at the consumer level.
A multi-state consumer study involving approximately
300–500 Patanjali consumers would provide a stronger empirical basis for
evaluating whether the controversies discussed in this case have translated
into measurable changes in consumer attitudes and behavioural intentions. The
respondents' perceptions could be examined across the dimensions of product
quality, perceived purity, price fairness, advertising credibility, regulatory
trust, brand trust, CSR perception, satisfaction, purchase intention,
repurchase intention and recommendation intention.
The analytical framework treats brand trust as a
central intervening construct rather than considering consumer purchase
intention as a direct consequence of product quality alone. A consumer may
perceive a product as reasonably priced and of acceptable quality but may nevertheless
hesitate to purchase it if doubts concerning advertising credibility or
regulatory compliance have weakened confidence in the brand. Conversely,
credible quality assurance and visible social responsibility may strengthen
trust and subsequently improve behavioural intentions.
Accordingly, the principal relationship examined in
the framework is:
Perceived Product Quality → Brand Trust → Purchase
Intention
This relationship implies that product quality may
influence purchase intention both directly and indirectly through brand trust.
Brand trust therefore becomes a potential mediating variable between the
consumer's evaluation of the product and the consumer's intention to purchase.
The model is further strengthened by incorporating Advertising
Credibility and CSR Perception as explanatory variables. Advertising
credibility is particularly relevant because the case involves regulatory
scrutiny associated with product claims. CSR perception is relevant because the
proposed “Patanjali Shakti Upahar” initiative represents an attempt to create a
stronger social connection between the company and vulnerable consumers.
The resulting conceptual relationship can therefore
be expressed as:
Product Quality → Brand Trust → Purchase Intention
Advertising Credibility → Brand Trust
CSR Perception → Brand Trust
Brand Trust → Satisfaction → Repurchase Intention
Brand Trust → Recommendation Intention
This framework allows the research to move beyond
the question of whether consumers “like” or “dislike” Patanjali and instead
examine which factors statistically explain continued purchasing behaviour.
37.1 Measurement and Reliability Analysis
The constructs would be measured through multiple
Likert-scale statements. Before examining relationships between variables, the
internal consistency of the questionnaire would be assessed through Cronbach's
alpha.
A satisfactory reliability coefficient would
establish whether items intended to measure concepts such as brand trust,
perceived quality, advertising credibility and CSR perception are sufficiently
consistent to be combined into composite scales.
Descriptive statistics—including mean, standard
deviation, frequency and percentage—would then establish the overall pattern of
consumer perceptions.
This stage is important because a high average score
for product quality combined with a low average score for advertising
credibility would indicate that the consumer problem is not necessarily the
physical product itself but the credibility of the communication surrounding
the product.
37.2 Relationship Analysis
The association between the major constructs would
subsequently be examined using Pearson correlation where the assumptions for
parametric analysis are satisfied. Where the data are ordinal or substantially
depart from parametric assumptions, Spearman's rank correlation would provide a
more appropriate alternative.
Particular attention would be given to the
relationship between:
perceived product quality and brand trust;
perceived purity and brand trust;
advertising credibility and brand trust;
CSR perception and brand trust;
brand trust and satisfaction;
brand trust and purchase intention;
satisfaction and repurchase intention; and
purchase intention and recommendation intention.
A strong positive relationship between product
quality and brand trust would indicate that improvements in perceived quality
are associated with stronger confidence in the brand. A negative relationship
between perceived misleading advertising and trust would, conversely,
demonstrate the reputational cost of communication practices that consumers
perceive as unreliable.
Correlation, however, would be interpreted as association
rather than proof of causality.
37.3 Demographic Differences
Consumer attitudes may also differ according to
demographic characteristics.
An independent-samples t-test would be appropriate
for comparing the mean scores of two groups, while one-way ANOVA would be
appropriate where more than two groups are compared.
For example, purchase intention could be compared
across age categories such as:
18–30 years;
31–45 years;
46–60 years; and
above 60 years.
Similarly, differences in brand trust could be
examined across income or educational groups where the grouping structure is
statistically appropriate.
A statistically significant ANOVA result would
indicate that at least one group differs from another. Appropriate post-hoc
testing would then be required to identify the specific group differences.
37.4 Categorical Association
The Chi-square test of independence would be used
for categorical variables.
For example, the relationship between awareness of
Patanjali's controversies and categorised purchase intention could be examined.
The analytical question would be:
Does awareness of regulatory and product-quality
controversies occur independently of consumers' willingness to purchase
Patanjali products?
If the Chi-square test produces a statistically
significant result at the 5% level, the null hypothesis of independence would
be rejected, indicating that the observed association between controversy
awareness and purchase intention is unlikely to be attributable solely to
sampling variation.
37.5 Factor Structure of Consumer Perceptions
Because product quality, purity, advertising
credibility, regulatory trust and CSR perception may contain overlapping
dimensions, exploratory factor analysis would be useful for identifying the
underlying structure of consumer perceptions.
Factor analysis could determine whether apparently
separate questionnaire items actually cluster around broader dimensions such
as:
Product Credibility
Communication Credibility
Institutional Trust
Social Responsibility
Behavioural Loyalty
This would help establish whether consumers evaluate
Patanjali through several independent dimensions or through a smaller number of
underlying psychological constructs.
37.6 Multiple Regression Analysis
Correlation alone cannot determine the relative
contribution of different explanatory variables. Therefore, multiple regression
analysis could be employed with purchase intention as the dependent variable.
A simplified model may be expressed as:
Purchase Intention = β₀ + β₁(Product Quality) +
β₂(Advertising Credibility) + β₃(Brand Trust) + β₄(CSR Perception) + ε
The regression coefficients would indicate the
direction and relative contribution of each independent variable while
controlling for the effects of the other variables.
For example, if brand trust demonstrates the largest
statistically significant standardized coefficient, it would suggest that trust
is a more important determinant of purchase intention than any individual
product attribute.
Such a finding would have significant managerial
implications because it would indicate that improving packaging, pricing or
promotional frequency alone may not be sufficient to restore consumer
confidence.
37.7 Mediation Analysis
The most important extension of the proposed
framework is the examination of brand trust as a mediating variable.
The proposed pathway is:
Product Quality → Brand Trust → Purchase Intention
The analytical question is not simply whether
product quality predicts purchase intention, but whether part of this effect
operates through consumer trust.
If the indirect effect is statistically significant,
the study would provide evidence that product quality contributes to purchase
intention partly because consumers interpret quality as a signal of organisational
reliability.
The same logic could be applied to CSR perception:
CSR Perception → Brand Trust → Purchase Intention
A significant indirect effect would indicate that
CSR may influence consumer behaviour not merely by creating goodwill but by
strengthening confidence in the organisation.
37.8 Proposed Integrated Research Model
The overall analytical model can therefore be
represented as:
Product Quality
↓
Brand Trust
↓
Purchase Intention
↓
Repurchase Intention / Recommendation Intention
with:
Advertising Credibility → Brand Trust
and
CSR Perception → Brand Trust
while Satisfaction may operate as an additional
behavioural pathway between purchase experience and repurchase intention.
The model provides a mechanism for examining
Patanjali's situation as a trust-recovery problem rather than simply a sales
problem.
37.9 Statistical Decision Framework
For inferential testing, the conventional
significance level of 5% (α = 0.05) may be adopted.
The general decision rule would be:
p < 0.05: reject the null hypothesis;
p ≥ 0.05: fail to reject the null hypothesis.
However, statistical significance should not be
interpreted independently of effect size, confidence intervals, sample
characteristics and practical significance. A statistically significant
relationship may have limited managerial importance if its effect size is very
small.
37.10 Analytical Significance of the Proposed
Framework
The proposed empirical framework extends the present
case in three important ways.
First, it separates financial performance from
consumer perception. Strong revenue growth does not necessarily establish
strong consumer trust.
Second, it identifies brand trust as a potential
mechanism through which product quality, advertising credibility and CSR
influence purchase behaviour.
Third, it allows the proposed “Shakti Upahar”
initiative to be evaluated empirically rather than assuming that CSR
automatically improves reputation.
The ultimate empirical question therefore becomes:
Whether improved product credibility, transparent
communication and socially responsible action can rebuild consumer trust
sufficiently to influence satisfaction, purchase intention, repurchase
behaviour and recommendation intention.
This approach would transform the Patanjali case
from a descriptive account of controversies into a testable consumer-behaviour
and strategic-management research model.
38. RESEARCH FINDINGS
Based on the evidence analysed, the following findings
emerge:
Finding 1
Patanjali has experienced significant regulatory and
reputational controversies.
Finding 2
The advertising controversy represents a
particularly serious threat because it directly affects credibility.
Finding 3
Ghee and honey controversies are strategically
important because purity is central to the brand's identity.
Finding 4
The evidence does not support an unconditional
conclusion that the entire Patanjali business is in decline.
Finding 5
Patanjali Ayurved experienced a decline in revenue
from operations from FY23 to FY24, but business restructuring affects
interpretation.
Finding 6
Patanjali Foods recorded strong revenue growth from
FY24 through FY26, reaching ₹40,169.58 crore in FY26.
Finding 7
FY26 demonstrates a revenue-growth/margin-pressure
combination rather than a simple financial decline.
Finding 8
The FMCG segment is strategically important because
it contributes a disproportionately high share of EBITDA relative to revenue.
Finding 9
CSR can support reputation repair but cannot
substitute for quality assurance.
Finding 10
The proposed Shakti Upahar programme should
therefore be implemented only as part of a broader trust-rebuilding strategy.
39. CONCLUSION
Patanjali represents an important Indian management
case because it demonstrates how brand ideology, entrepreneurship, cultural
identity, product positioning, regulatory compliance and consumer trust
interact in the FMCG industry.
The company built extraordinary market visibility
through Ayurveda, affordability and indigenous positioning. Yet the
controversies around advertising and product quality demonstrate that strong
brand identity can become a vulnerability when credibility is challenged.
The financial evidence also produces an important
research lesson.
It would be inaccurate to describe the entire
Patanjali business as being in continuous decline. Patanjali Foods recorded revenue
from operations of ₹31,721.35 crore in FY24, ₹34,156.97 crore in FY25 and
₹40,169.58 crore in FY26.
Therefore, the real strategic challenge is not
simply sales survival.
It is:
“Can Patanjali convert financial strength into
sustainable consumer trust?”
The proposed Patanjali Shakti Upahar initiative
could contribute to that objective by supporting economically vulnerable women
aged 55+, particularly widowed, divorced, separated and never-married women.
But the programme should not become merely a festival
publicity campaign.
The strongest strategic model is:
QUALITY + COMPLIANCE + TRANSPARENCY + CSR + CONSUMER
TRUST = SUSTAINABLE BRAND RECOVERY
Patanjali's next phase should therefore move from
personality-led credibility toward system-led credibility.
That transformation would represent a stronger and
more sustainable form of brand rebuilding than advertising alone.
40. REFERENCES AND SOURCE BASE
Supreme Court of India. Judgment concerning
Patanjali Ayurved misleading advertisements and related contempt proceedings,
August 2024.
Patanjali Foods Limited. Investor Relations and
Annual Reports. Official company disclosures. Patanjali
Foods Investor Relations
Patanjali Foods Limited. FY2023–24 financial
results.
Patanjali Foods Limited. FY2024–25 financial
results.
Patanjali Foods Limited. FY2025–26 financial
results.
Patanjali Foods Limited. Corporate presentations and
investor disclosures. Patanjali
Foods Corporate Presentations
Patanjali Foods Limited. Business Responsibility
& Sustainability Report FY2024–25.
Economic Times. Report on Patanjali Ayurved FY24
revenue and business restructuring.
Uploaded case material: Patanjali Products, Public
Complaints, and Business Risk: A Case-cum-Research Paper with a CSR Proposal
for Women Aged 55+.
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