Our case studies showcase our expertise, highlight some of the issues we address, and demonstrate our working methodology.
From transactional to relational
Situation
An electronic equipment e-commerce site expressed the desire to move from a transactional model to a relational model by focusing on key customer segments
Goals
Develop engagement and the value of the existing customer base by creating genuine proximity with priority segments
Actions
1. Understand
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In-depth analysis of customer segments
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Mapping of critical touchpoints
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Identification of engagement drivers
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2. Co-create
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Redesigning customer journeys by segment
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Personalizing marketing and merchandising campaigns
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Creating dedicated experiences for each target group
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Enhancing the product and service offering
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Designing innovative loyalty programs
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3. Support
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Training teams on the new strategy
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Iterative A/B testing
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Continuous performance optimization
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4. Measurable Impact
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+120% in customer sign-ups (YoY)
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+25% conversion rate increase
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+20% return visitor rate
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Surpassing the NPS target by 18%
Results
Like any transformation, it required patience and A/B testing to refine our efforts, which ultimately paid off with an increase in year-over-year customer sign-ups, growth in the conversion rate during the recorded period thanks to an improved end-to-end customer experience (including targeted marketing, tailored offers, and optimized merchandising), and finally, a rise in the return visitor rate over the same period, along with exceeding the Net Promoter Score (NPS) target
Expand your vision!
Digital transformation of a fashion brand
Situation
A trendy shoe brand was struggling to convert its strong social media presence into eCommerce performance
Goals
Align the digital strategy with the brand's social potential by creating a seamless experience across social media, eCommerce, and physical retail stores
Actions
1. Understand
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Audit of the existing digital strategy
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Listening to leadership objectives
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Analysis of social influence drivers
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2. Co-create
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Redesign of the site architecture
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Integration of social content into the purchase journey
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Harmonization of product data
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Unification of CRM databases
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3. Support
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Training teams on new tools
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Optimization of digital merchandising
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Data-driven management of restocking
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4. Measurable Impact
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+100% appointments in pop-up stores
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+35% sales in 6 months (with a constant marketing budget)
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Stock optimization through predictive analysis
Results
The results were multiple, not only on the KPIs of the ecommerce site but also in terms of notoriety and drive-to-store:
• Appointments in pop-ups stores have doubled from one month to the next
• Sales increased by +35% over 6 months without change in marketing budget
• Finally, data management and sales analysis made it possible to achieve better restocking based on seasonality and audience peaks