Our CDP is tailor-made for financial institutions, unlocking the potential of your data to:

1. Drive growth
2. Enhance customer experiences
3. Make informed decisions


KEY FEATURES

  • Data integration: Seamlessly consolidate data from disparate sources into a unified platform for a holistic view.
  • Transaction Categorization: Utilize our AI-driven financial transaction classification tool to analyze up to 99% of customer transactions, enhancing data accuracy and insights.
  • ML models (pre trained and ondemand): OPTIO incorporates advanced ML algorithms, expertly trained on banking data. Experience a 2x-3x boost in sales conversion per campaign. If you have existing ML models, easily integrate them into the sales process without extensive development.
  • Segmentation and personalization: Leverage data-driven insights to craft targeted campaigns and deliver personalized experiences that resonate with individual customers.
  • Real-Time analytics: Make agile and informed decisions on-the-fly with our real-time data analytics, translating data into actionable insights promptly
  • Pre Integrated with customer touchpoints: As digital communication preferences evolve, our platform supports diverse communication channels. Plan and launch precisely targeted BTL campaigns seamlessly using OPTIO.
  • Embedded Communication Rules: Keep customer experience at its peak by using our specialized tool to strategize and control outbound communications, preventing irrelevant or repetitive offers across different channels.
  • Customer Journey builder and Trigger based campaigns
    Craft dynamic customer journeys and deploy campaigns triggered by specific interactions, ensuring personalized engagement throughout the customer lifecycle.
  • 360-Degree Customer View: Acquire a comprehensive understanding of each customer’s preferences, behaviors, and interactions across multiple touchpoints, enabling impactful decision-making and personalized engagement.

BENEFITS FOR BANKS

  • Collect and unify all your customer data scattered across different systems.
  • Enhance customer experiences and engagement.
  • Optimize cross-selling and upselling opportunities.
  • Improve campaign effectiveness and ROI.
  • Streamline operational processes and resource allocation.
  • No hidden costs of complex data solutions.

USE CASES

  • Hyper-Personalized Campaigns: Deliver targeted offers and messages that resonate with individual customers, boosting response rates and engagement.
  • Customer Retention: Identify at-risk customers and implement retention strategies based on their unique behaviors and preferences.
  • Product Recommendations: Offer personalized product recommendations based on customer profiles and preferences.