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Data-driven customer experience

Only 39 percent of organizations successfully turn data-driven insights into sustained competitive advantage.

The formula for success is simple: Enterprise data + customer data = contextual data which leads to strengthened relationships, brand loyalty, and increased acquisition.

What does it mean to be a customer-first brand to your consumers? It means making everything feel personal, from the products customers buy to the services they use – and from the way products are designed to how employees speak to customers. Customer-first makes the painful feel painless, the complex seem simple, and every moment feel intuitively right. When customers feel valued, the brand feels valuable to them.  
 
Knowing what your customers want is a first step to successfully becoming a customer-first brand – and the answer is in the data. Firms are leaning in heavily to maximize these important insights and, while it has never been particularly easy to predict what customers will think and want at any given moment, taking steps to truly understand who they are and their wants, needs and desires is paramount in this immediate satisfaction culture. 

Data-driven CX

Build trust, transparency, and long-term relationships.

    A new era of customer experience with generative AI

    Empower the next level of CX engagement

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    Transform your organization

    In today’s rapidly evolving landscape, data and AI have become paramount in the effort to anticipate

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      Data-driven customer experience empowers you to take full advantage of interconnected data while building trust, transparency, and long-term relationships.

      Naresh Khanduri

        Inventive competence development for a successful transformation of the MM Group IT

        Together with Capgemini Invent, MM Group IT has brought its new IT Operating Model to life through employee empowerment

        Capgemini Invent
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        LEONI brings a cultural vision to life

        Empowering a successful digital transformation by focusing on the people and cultural part of change.

        Capgemini Invent
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        The road to heightened quality at speed with Capgemini

        Embedded Quality Engineering in Capgemini’s ADMnext delivers a program of sustained, predictable quality for a global leader in automobile

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          Data Driven CX unlocks the power of Data & AI to make data driven decisions for businesses to fuel the Next-Gen Customer Experiences through Responsible Personalization across Customer touchpoints.

          Padmashree Shagrithaya

          What we do

          We optimize customer acquisition, improve customer retention and CLV, and enhance the efficiency and effectiveness of digital advertising programs.

          Data-driven marketing brings together customer data across your ecosystem to build unified customer profiles and activate personalized and respectful marketing based on customer behaviour, preferences and patterns while carefully complying with all data privacy laws and other regulatory requirements and in a manner that doesn’t feel invasive, unsettling, or untrustworthy to the customer, hence making it Respectful Personalization.

          We help you boost revenues and maximize conversions by using data to create an engaging personalized customer experience.

          We leverage historical data to forecast sales based on previous sales, market trends and other key factors.

          We help optimize your leads and revenues, while fulfilling customer needs by using dynamic pricing of products and services in line with different data trends like demand, seasonality, propensity to buy, storage capacity to name a few.

          We help combine customer data and service agents’ data to match customer behaviours along with competencies to direct the interactions hence making customers happy and loyal.

          Happier customers spend more. Combining customer data with service agent data helps provide a seamless experience to customers which augment rate of retention and boosts service agents’ job satisfaction.

          We help detect unsatisfied customers and help increase loyalty through antichurn scoring, intervention by service agents and more.

          Based on a customer’s web activity, we automatically tailor search and category pages which helps increase revenue and ARPU (average revenue per user).

          We use customer data and purchasing history to recommend the right product to customers thus increasing revenue and ARPU.

          Leveraging data, organizations can calculate CLTV through average order value, purchase frequency, return behaviour, past purchases, loyalty, etc. This can help brands target their efforts on the right customers.

          With the help of our CX experts and Data Engineers, we have built activation components, Data and AI models that we bring to your existing landscape and accelerate your journey to improved ROI across channels. To see all this in action and get deep into the working model, get in touch with us to know more about the components of our DDCX offer.

          Data-driven customer experience – meeting the needs of an experience economy

          Read more about how we help create conversations, build trusted relationships, and enable brands to provide personalized offers and recommendations, in turn delivering value to the brand and the end customer.

          Download our brochure

            New business models

            Is it possible to operate a business that meets the needs of people and planet while also making a profit?

            Capgemini Invent
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            Inventive brand experience

            Reimagining your brand to become better connected, more empathetic and more relevant.

            Capgemini Invent
            Learn more

            Inventive shopping

            Focusing on the crucial question, what kind of retailer do your customers need you to be?

            Capgemini Invent
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            Inventive banking

            Defining your role to thrive in the highly disruptive environment of next generation digital banking.

            Capgemini Invent
            Learn more

              Research and insights

              Report

              The age of insight: Why aren’t more consumer products and retail organizations tapping into the data goldmine?

              Expert perspectives

              Data and AI

              Activating Gen AI at scale to transform financial services: Insights and best practices from Capgemini

              Ashvin Parmar
              Nov 6, 2024

              Building resilience with AI-powered supplier risk mitigation

              Laurence Noël
              Nov 6, 2024
              Data and AI

              Key Takeaways from BioTechX 2024: A Shift Towards Realism and Practical Applications

              Nov 6, 2024

              Meet our experts

              Naresh Khanduri

              Global Generative AI for CX Lead, Capgemini
              “I have over 20 years of experience working with clients to transform the way their customer’s experience, interact and engage with them through digital channels. I have led transformational programs from vision to execution for some of the world’s best brands in Retail, CPG, Energy and Manufacturing.”

              Fernand Khousakoun

              VP, Content & Marketing Lead | Global DCX | Capgemini
              Fernand has 24 years of experience working with customers to improve the Customer experience.

              Darshan Shankavaram

              Executive Vice President, Digital Customer Experience Global Practice Leader
              “I have close to 30 years of domain experience, with more than ten years within Digital and Mobile. I have led product concept-to-sell, business development, pre-sales, solutioning and technical implementation of CX transformation programs.”

              Padmashree Shagrithaya

              EVP & Managing Director, Insights & Data, India
              “Managing multiple machine learning models, built by varied teams is a huge challenge. MLOps is a powerful approach to bring all the pieces together and reap larger organization-wide value from AI at scale projects.”

              Marc De Forsanz

              Insights & Data Global "Customer First" playing field Business Development and Portfolio leader. 

                Partners