Why do supportive behaviors determine a company's growth?

Olivier Forlini
Mar 13
5 min read

Introduction

The mechanisms that trigger stakeholder support behaviors toward a company constitute a complex set of psychological, cognitive, and emotional processes that are directly linked to organizational reputation.

This in-depth analysis explores the specific triggers, their sectoral variances and their manifestations among disruptive new entrants in France, drawing on concrete examples of alternative companies and revealing counter-examples.

1. Fundamental cognitive and psychological mechanisms

1.1 Purchasing decision process and cognitive biases

Supportive behaviors emerge from sophisticated cognitive mechanisms, where 95% of purchasing decisions are formed in the subconscious mind. Research reveals that six main cognitive biases directly impact purchasing decisions, with varying degrees of influence across different sectors.

Social proof is the most effective bias, where consumers imitate the purchasing behavior of others during periods of uncertainty. This mechanism proves particularly powerful for new entrants who can quickly establish their credibility by displaying positive customer testimonials.

The anchoring effect also influences behavior, where first impressions largely determine subsequent evaluations. Disruptive companies exploit this bias by strategically positioning their prices or value propositions.

1.2 Emotional triggers and brand attachment

Emotions act as powerful triggers that directly influence supportive behaviors. Consumers who experience adoration or pleasure after an interaction with a brand are 93% more likely to repeat their purchase, compared to less than 30% for those who feel anger or ambivalence.

Emotional branding creates a deeper connection by leveraging the fact that decisions are more influenced by feelings than by rational thought. Brands that humanize their values and create relevant stories evoke empathy and build trust.

2. Sectoral Variances in Supporting Behaviors

2.1 Situational factors according to Belk

Russell Belk identifies five situational factors that create significant variance in supportive behaviors:

The physical environment (decor, sound, lighting, layout, smells)
The social environment (presence of other people)
The time perspective (time of purchase and available time)
Defining roles (buying for oneself or for others)
Previous states (mood, consumer's health status)

These factors create significant variances across business sectors, with physical retail companies being more sensitive to physical and social environments, while digital services are more dependent on temporal factors and emotional states.

2.2 Sectoral impact on trust and commitment

The various sectors exhibit significant variations in trust mechanisms. In the financial sector, trust is primarily based on the perception of security and reliability. For the technology sector, innovation and technical expertise are the main drivers.

Competitive intensity also affects the variance of support behaviors, with highly competitive sectors generating more sophisticated loyalty mechanisms.

3. Examples of disruptive French companies

3.1 Success stories: optimized support mechanisms

👉 Kovalee : Expertise as a catalyst for trust

Kovalee perfectly illustrates how technical expertise can trigger massive support behavior. By transforming applications from 50-100 daily users to over 10,000 downloads, the company generated 626% growth.

The triggering mechanisms include:

Social proof : Twenty apps that have become global leaders in their field
Technical authority : Recognized expertise in UX, UA, ASO and monetization
Tangible results : Documented dramatic transformations

👉 SWAN : Simplification as a factor in adoption

Swan n is revolutionizing embedded finance with 558% growth by processing 1.5 billion euros monthly.

These support mechanisms are based on:

Cognitive simplification : Ready-to-use REST APIs and widgets reduce complexity
Institutional trust : Over 150 clients including recognized scale-ups
Operational reliability : Robust technology platform with advanced risk management

👉 Dalma : Excellent customer service

Dalma demonstrates how excellent customer service generates lasting supportive behaviors.

With a Google rating of 4.6/5 based on 1,263 reviews and 549% growth, the triggers include:

Transparency : Plans with no deductible or hidden fees
Empathy : Patient and professional advisors
Responsiveness : Quick handling of customer requests

3.2 New technology entrants 2024-2025

👉 Hubcycle : Environmental impact as a trigger

Hubcycle is making its mark in food upcycling by repurposing 730 tonnes of by-products and avoiding 1,500 tonnes of CO2.

Its support mechanisms exploit:

Alignment of values : Responding to growing environmental concerns
Credibility : Partnerships with L'Oréal, Nestlé and Biocoop
Measurable impact : Quantified results in emission reductions

👉 Eden AI : Technological democratization

Eden AI simplifies access to artificial intelligence for businesses, creating supportive behaviors through:

Accessibility : Simplifying complex technologies
Expertise : Positioning as an AI expert
Practical application : Concrete solutions for businesses

4. Counter-examples and reputational failures

4.1 Failure mechanisms in overcapitalized startups

Research reveals that 70% of overcapitalized startups miss their growth targets, with 60% of failures stemming from poor financial management.

The counter-examples illustrate dysfunctions in the support mechanisms:

👉 WeWork : Dissonance between promise and reality

The failure of WeWork (valuation falling from 47 billion to bankruptcy) illustrates how the disconnect between promise and reality destroys supportive behaviors.

The failing mechanisms include:

Lack of financial transparency : Vague business model
Overvaluation : Discrepancy between valuation and actual performance
Loss of credibility : Poor governance and scandals

👉 Quicargo Shipping Made Easy: Premature Caling

Quicargo, after raising €140 million, closed in 2022, demonstrating the impact of premature scaling on support behavior:

Unsustainable burn rate : €500,000/month without market validation
Customer disconnection : Expansion without needs assessment
Diluted vision : Loss of focus on the value proposition

4.2 Bad buzz and reputation destruction

Companies can quickly lose customer support through reputational crises. Nestlé experienced a major crisis following the Greenpeace video on palm oil, temporarily destroying consumer trust.

Volkswagen illustrates how dishonest behavior (emissions scandal) can wipe out decades of reputation, with massive financial consequences and a lasting loss of trust.

5. Modeling of triggering mechanisms

5.1 Hierarchy of triggers by sector

5.2 Cycle of building supportive behaviors

New entrants generally follow a predictable cycle:

Awareness : Raising awareness of innovation
Cognitive evaluation : Rational analysis of benefits
Emotional trigger : Emotional connection with the brand
Experimentation : First purchase or commitment
Reinforcement : Confirmation of perceived value
Advocacy : Transformation into an ambassador

6. Strategic recommendations to maximize supportive behaviors

6.1 For disruptive new entrants

Priority Key Actions Expected Impact

Establish social proof, document customer successes, create authentic testimonials. Leverage social media: strengthen credibility and trust.
Simplify the value proposition: reduce cognitive complexity, demonstrate impact, make communication accessible, facilitate adoption, and improve understanding.
Cultivating operational excellence: investing in customer experience, maintaining quality, responsiveness to feedback, optimized customer satisfaction.

6.2 Adaptation to sectoral variances

Companies must tailor their mechanisms to their sector:

Regulated sectors : Prioritize compliance and transparency
Consumer markets : Investing in emotion and experience
Complex B2B : Demonstrating Expertise and ROI
Emerging sectors : Educating the market and creating the category

Conclusion

Analysis of the mechanisms that trigger supportive behaviors reveals a complex architecture where cognition, emotion, and context interact to create or destroy corporate reputation.

The disruptive new entrants in France demonstrate that mastering these mechanisms can generate exceptional growth, as illustrated by Kovalee's 626% growth or Dalma's 549%.

However, counter-examples like WeWork and Quicargo highlight that supportive behaviors are fragile and can collapse rapidly in the event of problems. Sector-specific variations require companies to carefully adapt their strategies to the unique characteristics of their market.

For Olivier Forlini, founder of GTM NEXUS 360® ® and his model, this fine understanding of the mechanisms makes it possible to support clients in optimizing their reputation levers.

By calibrating the triggers according to their sector and maturity, a sustainable competitive advantage can be created, based on authentic and measurable supportive behaviors.

This item is a GTM NEXUS 360® production