Lead in the New Age of Customer Experiences with The Trifecta

Introducing the trifecta: An organized approach to true competitive advantage using data.

  • Augment Intelligence

    Augment Intelligence

    Customer Genomics creates a network of intelligence around every customer—integrating insights on customer value, engagement, preferences, and behaviors.

    Pioneers in this approach have achieved $1B in incremental sales within 6 months after launch.

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    This augments Financial Services companies’ ability to:

    • Consistently identify pockets of value
    • Make strategic marketing decisions
    • Deliver real-time contextual interactions
  • Automate and Learn

    Automate and Learn

    Automation can help elevate customer trust and relationships to a whole new level.

    For example, risk managers can get immediate insights on who to call, what to talk about, and why.

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    Customer Genomics algorithmically combines customer genomes with relevant treatments.

    This enables contextual offers, messages, and reactions in real time.

  • Incorporate Human Behavior

    Incorporate Human Behavior

    Customers aren’t always rational. Behavioral sciences are becoming a key complement to data science and can power better customer relationships.

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    Helping them make the best decision means understanding their emotions, proclivities, and fears.

    Harnessing these ‘irrational’ influences is key to building customers’ trust and financial health and gaining competitive advantage.

  • This augments Financial Services companies’ ability to:

    • Consistently identify pockets of value
    • Make strategic marketing decisions
    • Deliver real-time contextual interactions
  • Customer Genomics algorithmically combines customer genomes with relevant treatments.

    This enables contextual offers, messages, and reactions in real time.

  • Helping them make the best decision means understanding their emotions, proclivities, and fears.

    Harnessing these ‘irrational’ influences is key to building customers’ trust and financial health and gaining competitive advantage.

Our Thinking

Case Studies

  • FTI case study
    7 min. read

    Franklin Templeton generates $600mn in new assets with Customer Genomics®

    Machine learning helps deliver highly personalized interactions to financial advisors to drive sales.

    Company Background Franklin Templeton Investments (FTI) is one of the world’s largest asset managers, selling mutual funds to investors through financial advisors (FA). One of FTI’s chief goals is to increase...

  • Automate insight generation from unstructured sources
    1 min. read

    Automate insight generation from unstructured sources

    A major US mutual fund automates insight generation using unstructured data from analyst reports.

    The Big Picture Asset management companies are perpetually in the race to capture mind-share from financial advisors by being relevant, contextual, and timely to drive product sales and adoption. A large portion of...

  • Recommend replacement products to advisors to drive sales
    1 min. read

    Recommend replacement products to advisors to drive sales

    A wealth manager develops a recommendation platform, resulting in a $1.5B incremental opportunity.

    The Big Picture Financial advisors, looking to add value to consumer investors, frequently rebalance their portfolios to keep with investor’s needs for risks and gains. This presents an opportunity for asset...

  • Identify major customer events using analytics
    2 min. read

    Identify major customer events using analytics

    A bank uses analytics to identify moments in the customer journey that lead to likely attrition.

    The Big Picture A leading bank had the highest share of young adults in the 18 to 26 years age group, but the proportion tails off in the subsequent older age groups. Given that customers’ profitability peaks in the...

  • Deliver next best product recommendations during customer interactions
    1 min. read

    Deliver next best product recommendations during customer interactions

    A bank uses advanced deep learning algorithms to determine next optimal product and service to existing customers.

    The Big Picture: A leading retail bank was facing low customer engagement and satisfaction with its customers. The existing analytical models on product propensities generated lower accuracy, and missed critical data...

  • Identify preferred store locations to enable personalized marketing
    1 min. read

    Identify preferred store locations to enable personalized marketing

    A payment provider traced customer geolocation and transactions data to personalize marketing.

    The Big Picture A leading payment provider wanted to understand the relationship between a shopper’s home location and preferred store locations in order to improve marketing efforts and make store-related business...

Our People

  • Arpan Dasgupta

    Arpan Dasgupta

    Client Partner

    • Leads consulting in FS, Telecom & Retail
    • Deep experience in delivering AI-driven transformation in frontline strategies with focus on customer personalization & digitization
    Arpan Dasgupta
    • Leads consulting in FS, Telecom & Retail
    • Deep experience in delivering AI-driven transformation in frontline strategies with focus on customer personalization & digitization
  • Ajoy Singh

    Ajoy Singh

    Chief Operating Officer

    • Leads delivery and capability development in area of AI and Big Data
    • Retail banking and risk management
    • Analytics and technology led strategy and transformation
    Ajoy Singh
    • Leads delivery and capability development in area of AI and Big Data
    • Retail banking and risk management
    • Analytics and technology led strategy and transformation
  • Sankar Narayanan (SN)

    Sankar Narayanan (SN)

    Chief Practice Officer

    • Business & functional transformation
    • Consumer Banking, Asset & Wealth Mgmt., Payments
    • Customer Analytics, Sales & Marketing Effectiveness, Digital Strategy, Risk Mgmt.
    Sankar Narayanan (SN)
    • Business & functional transformation
    • Consumer Banking, Asset & Wealth Mgmt., Payments
    • Customer Analytics, Sales & Marketing Effectiveness, Digital Strategy, Risk Mgmt.
  • Devendra Vanjara

    Devendra Vanjara

    Client Partner

    • Leads US practice in FS, Telecom and Retail
    • Expertise in customer, digital, sales & marketing analytics
    • Applying AI & Big Data technologies to deliver long term, sustainable values
    Devendra Vanjara
    • Leads US practice in FS, Telecom and Retail
    • Expertise in customer, digital, sales & marketing analytics
    • Applying AI & Big Data technologies to deliver long term, sustainable values
  • Bhaskar Roy

    Bhaskar Roy

    Client Partner

    • Leads Customer Analytics practice
    • Delivering top-line/bottom-line impact leveraging AI & advanced analytics across Tech, Telecom, Banking, Retail, Industrial IoT & FS industries
    Bhaskar Roy
    • Leads Customer Analytics practice
    • Delivering top-line/bottom-line impact leveraging AI & advanced analytics across Tech, Telecom, Banking, Retail, Industrial IoT & FS industries