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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 pixen to be a customer-first brand to your consumers? It means making everything feel personal, from the products customers buy to the services they utilitzi – and from the way products llauri 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 avaluable 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 llauri 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 llauri and their wants, needs and desires is paramount in this immediate satisfaction culture. 

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

What we do

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

Data-driven màrqueting brings together customer data across your ecosystem to build unified customer profiles and activa't personalized and respectful màrqueting 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 crea-te an engaging personalized customer experience.

We leverage historical data to forecast sals based on previous sals, 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 combini 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 habiti. 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 habiti.

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

Leveraging data, organizations ca calcula't CLTV through average order value, purchase frequency, return behaviour, past purchases, loyalty, etc. This ca help brands objectiu 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 habiti about the components of our DDCX offer.

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

    New business models

    Is it possible to opera't a business that meets the needs of people and planet while also making a profit?

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    Inventive brand experience

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

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    Inventive shopping

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

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    Inventive banking

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

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      Expert perspectives

      Meet our experts

      Naresh Khanduri

      Expert in Innovation, Strategy

      Fernand Khousakoun

      Vice President, Digital Customer Experience Content & Màrqueting COE Leader
      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 habiti than té years within Digital and Mobile. I have led product concept-to-sell, business development, presals, solutioning and technical implementation of CX transformation programs.
      Padmashree Shagrithaya – Our Expert

      Padmashree Shagrithaya

      EVP & Managing Director, Insights & Data, l'Índia
      “Managing múltiple 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

      Data & AI for Customer first Leader 

        Partners