Nivea Men

Background

NIVEA MEN observed that while awareness and trial of men’s skincare products in India had increased, repeat usage, routine formation, and multi-product adoption remained low. The business challenge was not visibility, but sustained behaviour change.

1. Business Research Problem

Is low adoption of men’s skincare in India driven by lack of demand, or by behavioural, identity, and category-structure barriers?
(Business Research Problem – Yes/No framing)

2. Market Research Questions

To diagnose the problem, the following W/H questions were framed:

• Who are the men entering skincare, but not continuing usage?

• What does skincare mean to Indian men (hygiene, treatment, beauty)?

• Why do men drop off after trial?

• How do identity, effort, and social context influence usage?

• Where does the category fail to convert interest into habit?

(Market Research Questions – W/H framework)

3. Exploratory Secondary Research

Before consumer interaction, the team studied the broader discourse and market structure.

Methods used:

• Social listening & sentiment analysis to track men’s skincare conversations

• Narrative and discourse analysis to understand how skincare is framed

• Case studies of international markets (South Korea, Japan)

• Historical research on grooming category evolution in India

• Content analysis of journals, expert reports, and podcasts

(Exploratory Secondary Research Framework)

Key Learning:
India shows strong structural demand signals, but behavioural and category-design friction limits adoption depth.

4. Discussion Guide Development

Insights from secondary research were used to design an open-ended discussion guide grounded in consumer behaviour principles.

Focus areas included:

• Daily routines and grooming habits

• Problem-triggered vs preventive usage

• Masculinity and identity alignment

• Effort aversion and habit drop-off

• Social influence and delegated decision-making

(Discussion Guide – Exploratory, Open-ended Design)

5. Exploratory Primary Research

To deeply understand behaviour, multiple qualitative methods were used.

Methods applied:

• In-depth interviews (Phenomenological approach)

• Focus Group Discussions (reference group influence)

• Ethnography and participant observation

• Netnography (online male grooming conversations)

• Informal conversations for natural language validation

• Research continued until triangulation and saturation were achieved. 

(Exploratory Primary Research – Triangulation & Saturation framework)

6. Coding & Insight Generation

Qualitative data was coded to identify recurring patterns related to:

• Preventive mindset

• Trust in science and experts

• Routine effort and complexity

• Identity-safe vs identity-threatening consumption

(Thematic Coding & Insight Mapping)

7. Quantitative Research (Confirmatory)

Based on qualitative insights, a structured, close-ended survey was designed in consumer language.

• 52 behavioural and psychographic variables captured

• Sample designed to represent urban Indian men

(Confirmatory Quantitative Research)

8. Factor Analysis – Super Variable Formation

Multiple variables were reduced into key super variables using factor analysis.

Outcome:

• Preventive Orientation

• Functional Evaluation & Credibility

• Routine Complexity & Convenience Barriers

• Social Influence & External Legitimisation

(Factor Analysis – Data Reduction Framework)

9. Regression Analysis – Driver Identification

Regression was used to identify which factors most strongly influence skincare adoption.

Key finding:

• Routine complexity is the strongest negative driver

• Preventive orientation and functional credibility positively drive adoption

(Regression Analysis – Driver Identification Framework)

10. Clustering & ICP Identification

Consumers were segmented using psychographic and behavioural variables.

Clusters identified:

• Low-involvement pragmatists

• Intent-rich but effort-averse users (largest opportunity)

• Proactive believers

Clusters were then profiled demographically to identify the Ideal Customer Profile (ICP).
(Cluster Analysis → ICP Framework)

Final Insight & Managerial Implication

The research proved that low adoption is not due to stigma or lack of interest, but due to:

• Routine complexity

• Lack of clear category structure

• Effort outweighing perceived benefit

This led to a shift in positioning from beauty-led grooming to simple, preventive, functional skincare routines.