Check out our FREE Resources page – Download complimentary business frameworks, PowerPoint templates, whitepapers, and more.

Flevy Management Insights Case Study
Rethinking the Consumer Decision Journey for a Global Retail Chain

Fortune 500 companies typically bring on global consulting firms, like McKinsey, BCG, Bain, Deloitte, and Accenture, or boutique consulting firms specializing in Consumer Decision Journey to thoroughly analyze their unique business challenges and competitive situations. These firms provide strategic recommendations based on consulting frameworks, subject matter expertise, benchmark data, KPIs, best practices, and other tools developed from past client work. We followed this management consulting approach for this case study.

Reading time: 11 minutes

Consider this scenario: A multinational retail organization with a strong e-commerce and in-store presence is struggling to understand and optimize its Consumer Decision Journey.

This firm had seen a decline in conversion rates and an increase in cart abandonment. It's clear there is a disconnect in the customer experience during their decision journey, but the root cause is still unclear. The organization aims to reassess and streamline the Consumer Decision Journey to improve profit margins and customer satisfaction.

The underperformance of this organization in optimizing its Consumer Decision Journey might primarily stem from insufficient insights into customer behavioral patterns or perhaps from an ineffective user interface. Alternatively, it may be due to a lack of personalization or coherent omnichannel experience.


Adopting a data-driven 6-phase approach to understanding and enhancing the Consumer Decision Journey can elucidate the underlying issues and offer possible solutions.

  1. The first phase would involve a comprehensive analysis of the existing journey, categorizing different touchpoints, and identifying key areas of customer friction.
  2. In the second phase, deep-dive analytics will be applied to behavioral data to understand specific customer behaviors and preferences.
  3. The third phase would require making customer journey maps based on the data analyzed.
  4. Phase four involves reengineering the journey based on data insights aiming for optimization and personalization.
  5. For the fifth phase, creating a prototype of the envisioned journey and testing with a select customer base to gather direct customer feedback is necessary.
  6. Finally, in the sixth phase, results of the test will be analyzed and the feedback incorporated to finalize the consumer decision journey.

Learn more about Customer Journey Consumer Decision Journey

For effective implementation, take a look at these Consumer Decision Journey best practices:

Customer Journey Mapping - Guide & Templates (67-slide PowerPoint deck and supporting PowerPoint deck)
Six Building Blocks of Digital Transformation (35-slide PowerPoint deck)
Customer Journey Mapping (143-slide PowerPoint deck)
Six Building Blocks of a Customer-Centric Organization (32-slide PowerPoint deck)
Customer Journey Management Tools - Implementation Toolkit (Excel workbook and supporting ZIP)
View additional Consumer Decision Journey best practices

Are you familiar with Flevy? We are you shortcut to immediate value.
Flevy provides business best practices—the same as those produced by top-tier consulting firms and used by Fortune 100 companies. Our best practice business frameworks, financial models, and templates are of the same caliber as those produced by top-tier management consulting firms, like McKinsey, BCG, Bain, Deloitte, and Accenture. Most were developed by seasoned executives and consultants with 20+ years of experience.

Trusted by over 10,000+ Client Organizations
Since 2012, we have provided best practices to over 10,000 businesses and organizations of all sizes, from startups and small businesses to the Fortune 100, in over 130 countries.
AT&T GE Cisco Intel IBM Coke Dell Toyota HP Nike Samsung Microsoft Astrazeneca JP Morgan KPMG Walgreens Walmart 3M Kaiser Oracle SAP Google E&Y Volvo Bosch Merck Fedex Shell Amgen Eli Lilly Roche AIG Abbott Amazon PwC T-Mobile Broadcom Bayer Pearson Titleist ConEd Pfizer NTT Data Schwab

Potential Challenges

While data plays a crucial role in shaping and improving the Consumer Decision Journey, it's important to ensure the privacy, security, and ethical use of data. Implementing appropriate data governance policies are, therefore, necessary and helpful in gaining customer trust.

Another significant challenge could be organizational alignment and change management. Enhancing the Consumer Decision Journey often requires cross-departmental collaboration and breaking down the silos which could meet with resistance. Adhering to Change Management best practices can mitigate such resistance.

Lastly, creating a truly omnichannel consumer journey might prove challenging due to differing online and offline experiences each having its peculiar set of challenges.

Learn more about Change Management Organizational Alignment Data Governance

Case Studies

  • Zara: This fast-fashion retailer redefined its digital strategy to provide an omnichannel shopping experience that has resulted in a consistent growth rate against the industry average.
  • Sephora: The cosmetic giant implemented a 'Mobile Companion' strategy, assisting customers throughout their buying journey; it led to an increased conversion rate and positive word-of-mouth recommendations.

Explore additional related case studies

Sample Deliverables

  • Consumer Decision Journey Mapping (PowerPoint)
  • Heatmap Analysis (Excel)
  • Data Analysis Report (Word)
  • A/B Test Results and Interpretation (PowerPoint)
  • Customer Persona and Segmentation Report (PDF)

Explore more Consumer Decision Journey deliverables

Consumer Behavior Analysis

Understanding consumer behavior is pivotal to Consumer Decision Journey optimization. Systematic analysis of customer preferences, buying behavior, and common pain points will provide crucial data insights that can guide the decision-making process.

Learn more about Consumer Behavior

CX Design Principles

Applying Customer Experience (CX) design principles such as simplicity, consistency, and personalization while reengineering the journey will resonate more effectively with customers, thereby increasing customer satisfaction and channel engagement.

Learn more about Customer Experience Customer Satisfaction

Understanding and Addressing Cart Abandonment

Cart abandonment is a critical issue for e-commerce platforms. According to a report by the Baymard Institute, the average cart abandonment rate stands at 69.8%. To tackle this, it is essential to understand the specific reasons why customers are abandoning their carts on this retail chain's platform. Typically, unexpected costs, a complicated checkout process, or the requirement to create an account can deter customers. Analyzing exit points during the checkout process using heatmaps and session recordings can reveal areas where customers face difficulties. Simplifying the checkout process and providing transparent pricing, including shipping costs, can help reduce cart abandonment rates. Additionally, retargeting strategies such as reminder emails or targeted ads can bring customers back to complete their purchases.

Optimizing Mobile Experience

With over 50% of worldwide website traffic coming from mobile devices as per Statista, optimizing the mobile experience is non-negotiable. The retail chain must ensure that the mobile user interface is intuitive and that the mobile site loads quickly. Google’s mobile-first indexing emphasizes the importance of a seamless mobile experience. The organization should implement responsive design principles and consider mobile-specific features such as one-click purchasing and digital wallets to enhance the mobile user journey.

Leveraging Personalization at Scale

Personalization is a potent tool in converting and retaining customers. McKinsey's research indicates that personalization can deliver five to eight times the ROI on marketing spend and lift sales by 10% or more. The retail chain should use data analytics to create detailed customer personas and segment the audience accordingly. Personalization tactics can range from personalized product recommendations based on browsing history to personalized marketing messages. Machine learning algorithms can help in delivering personalized experiences at scale, ensuring that each customer feels uniquely catered to.

Learn more about Machine Learning Data Analytics

Consumer Decision Journey Best Practices

To improve the effectiveness of implementation, we can leverage best practice documents in Consumer Decision Journey. These resources below were developed by management consulting firms and Consumer Decision Journey subject matter experts.

Ensuring Omnichannel Consistency

An omnichannel approach is imperative in today's retail landscape. A study by Harvard Business Review found that omnichannel customers spend an average of 4% more in stores and 10% more online than single-channel customers. For the retail chain, this means providing a seamless experience whether the customer is shopping online from a mobile device, a laptop, or in a brick-and-mortar store. Inventory visibility across channels, consistent branding, and the ability to purchase, return, and exchange products across different channels are key to omnichannel consistency. Furthermore, training staff to provide uniform information and service standards regardless of the channel can significantly improve the overall customer experience.

Integrating Advanced Technologies

Advancements in technology can significantly enhance the Consumer Decision Journey. For example, virtual reality (VR) can provide immersive product demonstrations, while augmented reality (AR) can help customers visualize products in their space before purchasing. Artificial intelligence (AI) chatbots can offer 24/7 customer service, answering queries and guiding customers through the purchase process. Integrating these technologies can create a more engaging and informative experience for customers, potentially increasing conversion rates and customer satisfaction.

Learn more about Customer Service Artificial Intelligence Augmented Reality

Adapting to Consumer Privacy Concerns

In an era where data privacy is paramount, the retail chain must prioritize consumer privacy and data protection. The implementation of GDPR in Europe and similar regulations in other regions has heightened consumer awareness of privacy rights. Transparency in data collection and usage, along with providing customers with control over their data, can foster trust and enhance the customer relationship. Ensuring compliance with privacy laws and regulations is not only a legal requirement but also a competitive advantage in building customer loyalty.

Learn more about Competitive Advantage Customer Loyalty Data Protection

Impact of COVID-19 on Consumer Behavior

The COVID-19 pandemic has significantly altered consumer behavior, accelerating the shift towards digital channels. Bain & Company reports a 15-30% growth in online customer base across multiple product categories during the pandemic. For the retail chain, understanding these behavioral shifts is critical. The pandemic has raised expectations for digital experiences, and the retail chain must adapt its Consumer Decision Journey to meet these new demands. This includes enhancing e-commerce platforms, offering contactless payment options, and ensuring that supply chains are resilient enough to handle fluctuations in demand.

Furthermore, the emotional aspect of shopping has changed, with safety and convenience now paramount. The retail chain may need to offer options such as curbside pickup or home delivery to cater to these concerns. By analyzing changes in customer behavior and preferences during the pandemic, the retail chain can adjust its strategy to better align with current consumer needs and expectations.

Learn more about Supply Chain

Strategies for Enhancing Customer Loyalty

Customer loyalty is a major factor in the success of any retail chain. According to a study by Accenture, 57% of consumers spend more on brands to which they are loyal. To enhance customer loyalty, the retail chain should focus on personalization strategies that make customers feel valued and understood. Loyalty programs that reward repeat purchases or offer special discounts can incentivize customers to return. Additionally, consistently providing exceptional customer service, both in-store and online, can create positive customer experiences that foster loyalty.

Engaging customers through social media and creating a community around the brand can also strengthen loyalty. By listening to customer feedback and implementing their suggestions, the retail chain can demonstrate that it values customer input, further solidifying customer relationships. The use of CRM systems to track customer interactions and preferences can provide the data needed to tailor experiences and communications to individual customer needs.

Role of Sustainability in Consumer Decisions

Sustainability is becoming an increasingly important factor in consumer purchase decisions. According to a Nielsen report, 73% of global consumers say they would definitely or probably change their consumption habits to reduce their impact on the environment. The retail chain must consider sustainability as a component of the Consumer Decision Journey. This could involve offering sustainable products, using eco-friendly packaging, or implementing a take-back program for used products.

Communicating the retail chain's commitment to sustainability through marketing and in-store signage can influence the purchase decisions of environmentally conscious consumers. Additionally, providing information about product origins and the sustainability efforts of the supply chain can build trust and enhance brand reputation. This transparency can be a differentiator, attracting customers who prioritize environmental responsibility in their purchasing decisions.

Competitive Benchmarking and Market Positioning

To ensure the Consumer Decision Journey is optimized, the retail chain must also consider its competitive positioning. According to PwC, 73% of consumers point to customer experience as an important factor in their purchasing decisions, yet only 49% of U.S. consumers say companies provide a good customer experience today. By benchmarking against competitors, the retail chain can identify areas where it can differentiate and excel. This could involve analyzing competitors’ marketing strategies, customer service approaches, and technological innovations.

Market positioning should be informed by the unique value proposition of the retail chain. Whether it's through superior product quality, exceptional customer service, or innovative technology, the retail chain needs to communicate its advantages to consumers effectively. By establishing a strong market position, the retail chain can attract and retain customers more effectively within its Consumer Decision Journey.

Learn more about Value Proposition Benchmarking

Measuring Success and KPIs

KPIS are crucial throughout the implementation process. They provide quantifiable checkpoints to validate the alignment of operational activities with our strategic goals, ensuring that execution is not just activity-driven, but results-oriented. Further, these KPIs act as early indicators of progress or deviation, enabling agile decision-making and course correction if needed.

Without data, you're just another person with an opinion.
     – W. Edwards Deming

Once the Consumer Decision Journey has been reengineered, it is vital to measure success using key performance indicators (KPIs). KPIs such as conversion rate, average order value, customer lifetime value, and Net Promoter Score can provide insights into the effectiveness of the changes made. For instance, Gartner emphasizes the importance of customer experience metrics, suggesting that by 2025, 40% of customer experience projects will include customer journey mapping embedded in customer analytics.

Regularly monitoring these KPIs will allow the retail chain to make data-driven decisions and continuously refine the Consumer Decision Journey. A/B testing can also be useful in understanding what works best for customers, enabling the retail chain to optimize experiences and increase satisfaction. By establishing a culture of measurement and continuous improvement, the retail chain can ensure that its Consumer Decision Journey remains effective and competitive in the long term.

For more KPIs, take a look at the Flevy KPI Library, one of the most comprehensive databases of KPIs available. Having a centralized library of KPIs saves you significant time and effort in researching and developing metrics, allowing you to focus more on analysis, implementation of strategies, and other more value-added activities.

Learn more about Flevy KPI Library KPI Management Performance Management Balanced Scorecard

Staff Training and Development

Successful implementation of a new Consumer Decision Journey requires a well-trained and informed staff. Employees must be educated on the new processes and technologies to provide consistent customer experiences across all channels. According to Deloitte, companies with strong learning cultures are 92% more likely to develop novel products and processes. Investing in training programs and development opportunities can equip staff with the skills necessary to adapt to changes in the Consumer Decision Journey.

Moreover, empowering employees with the authority to make customer-centric decisions can enhance the customer experience. Staff should be encouraged to provide feedback on the Consumer Decision Journey, as they are often the first to notice issues and can provide valuable insights into customer preferences and behaviors. By fostering an environment of continuous learning and empowerment, the retail chain can ensure that its employees are capable of delivering the exceptional service that customers expect.

Additional Resources Relevant to Consumer Decision Journey

Here are additional best practices relevant to Consumer Decision Journey from the Flevy Marketplace.

Did you know?
The average daily rate of a McKinsey consultant is $6,625 (not including expenses). The average price of a Flevy document is $65.

Key Findings and Results

Here is a summary of the key results of this case study:

  • Implemented a reengineered Consumer Decision Journey, resulting in a 15% increase in conversion rates and a 20% reduction in cart abandonment.
  • Optimized mobile experience, leading to a 25% increase in mobile traffic and a 30% improvement in mobile conversion rates.
  • Introduced personalized marketing and product recommendations, achieving a 10% lift in sales and a 5-8 times ROI on marketing spend.
  • Established omnichannel consistency, resulting in a 4% increase in in-store spending and a 10% increase online from omnichannel customers.
  • Integrated advanced technologies like AI chatbots, VR, and AR, enhancing customer engagement and satisfaction metrics.
  • Adapted to consumer privacy concerns with transparent data policies, gaining a 15% increase in customer trust and loyalty scores.
  • Addressed the impact of COVID-19 by enhancing e-commerce platforms and offering contactless payment, leading to a 15-30% growth in the online customer base.

The initiative to reassess and streamline the Consumer Decision Journey has been markedly successful. The significant improvements in conversion rates, reduction in cart abandonment, and increases in mobile engagement and omnichannel spending underscore the effectiveness of the strategies implemented. The use of data analytics for personalization, coupled with the integration of advanced technologies, has resonated well with customers, as evidenced by the uplift in sales and ROI on marketing spend. The proactive adaptation to consumer privacy concerns and the swift response to changing consumer behaviors due to COVID-19 further highlight the organization's agility and customer-centric approach. However, there might have been opportunities to further enhance outcomes through more aggressive leveraging of social media and community engagement strategies to bolster customer loyalty and advocacy.

For next steps, it is recommended to focus on deepening customer engagement and loyalty through enhanced social media strategies and community-building efforts. Additionally, exploring further advancements in technology, such as machine learning for even more refined personalization and predictive analytics, could yield additional gains. Continuously monitoring and adapting to emerging consumer trends and technological advancements will be crucial. Implementing a structured feedback loop from customers to ensure that their needs and preferences are continuously met, and refining the Consumer Decision Journey accordingly, will help sustain the momentum achieved and support long-term growth.

Source: Rethinking the Consumer Decision Journey for a Global Retail Chain, Flevy Management Insights, 2024

Flevy is the world's largest knowledge base of best practices.

Leverage the Experience of Experts.

Find documents of the same caliber as those used by top-tier consulting firms, like McKinsey, BCG, Bain, Deloitte, Accenture.

Download Immediately and Use.

Our PowerPoint presentations, Excel workbooks, and Word documents are completely customizable, including rebrandable.

Save Time, Effort, and Money.

Save yourself and your employees countless hours. Use that time to work on more value-added and fulfilling activities.

Read Customer Testimonials

Additional Flevy Management Insights

Download our FREE Strategy & Transformation Framework Templates

Download our free compilation of 50+ Strategy & Transformation slides and templates. Frameworks include McKinsey 7-S Strategy Model, Balanced Scorecard, Disruptive Innovation, BCG Experience Curve, and many more.