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Approach

Consumer Lab works with a clear and structured transformation system built around four connected pillars.

Each mission activates one or more pillars depending on the business challenge, the organization’s maturity, and the ambition to move forward.

Our approach ensures that strategy is grounded in operational reality and translated into decisions that drive sustainable growth.

The Four Pillars

Designing the Customer Experience

Where customer decisions are made. Design experiences that influence buying decisions, loyalty, and long-term revenue growth across channels.

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Empowering the Organization

Where strategy turns into execution. Align teams, data, and decision-making so strategy is executed consistently and effectively across the organization.

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Fueled by Digitalization & AI

Transforming Products and Services

Where relevance becomes long-term growth.

Evolve products, services, and business models to remain relevant, differentiated, and scalable over time.

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Optimizing Operations and Execution

Where efficiency protects growth.

Optimize processes and execution to reduce costs, increase reliability, and support profitable, scalable growth.

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Designing the Customer Experience

Where customer decisions are made.


Front-stage focus

This pillar focuses on everything the customer sees, feels, and experiences when interacting with your brand across products, pricing, promotions, channels, and people.


Top-line impact

Customer experience directly influences buying decisions, repeat purchase, and recommendation. Improving it has a direct and measurable impact on revenue and growth.


Why customer experience comes first

Customer experience is where growth starts.

Before organizations talk about transformation, innovation, or efficiency, customers are already making decisions. They decide if they buy, if they come back, and if they recommend your brand. This pillar focuses on how customers experience your brand in real life, across all touchpoints. If the customer experience is broken, nothing else will work.


What this pillar is about

Enhancing customer experience means looking at your offer through the eyes of the customer.


It asks:

Is the product right?

  • Is the price fair and clear?
  • Are promotions understandable and useful?
  • Is the product easy to find in store, online, and through delivery?
  • Are people in sales and service helping or blocking the experience?
  • This is where customers decide if they buy, if they come back, and if they recommend.

Do customers enjoy, trust, and understand what you offer?


Business impact

When customer experience is designed and executed properly:

  • The top line becomes stronger and more reliable
  • Conversion and loyalty increase
  • Return on marketing and promotional investments improves

Customer experience becomes a growth driver, not a cost.

Digitalization builds the road. AI decides how fast and where to drive.

When this pillar is the right starting point


This approach is particularly relevant when:

  • Growth has slowed despite strong products
  • Omnichannel performance is inconsistent
  • Pricing or promotions confuse customers
  • Customer data exists but is underused
  • Teams lack a shared view of the customer

How do you measure success?

Success is measured through customer behavior, conversion, loyalty, and financial performance — not only through satisfaction metrics.


How digitalization and AI support customer experience


Digitalization as the foundation.

Digitalization makes the customer experience possible, consistent, and scalable.

Its objective is to create a reliable and seamless customer journey across all channels.


It enables:

  • Consistent experiences across store, online, and mobile
  • Faster and easier interactions
  • Full visibility and measurability of customer behavior

Typical use cases include e-commerce platforms, digital price tags, CRM systems, omnichannel promotions, and customer data platforms.

Digitalization turns intuition into observable customer behavior.


AI as the accelerator

AI improves the quality and relevance of decisions at scale.

Its objective is to personalize and optimize the experience for each customer.


It enables:

  • More relevant offers and better timing
  • Higher conversion and customer satisfaction
  • Smarter and faster decision-making

Typical use cases include personalized pricing or promotions, recommendation engines, demand prediction by customer segment, and chatbots or digital assistance.

AI turns data into smarter, faster decisions.


Digitalization builds the road. AI decides how fast and where to drive.