The startup offers a customer data platform that utilizes artificial intelligence to analyze and structure business information, enabling companies to gain actionable insights into customer behavior. This technology addresses the challenge of inefficient data management in customer service sectors, allowing businesses to enhance their understanding of customer mindsets and improve service delivery.
Funding
$360K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many companies struggle to efficiently structure and leverage customer data from disparate sources, hindering their ability to gain actionable insights into customer behavior and personalize customer service. Existing Customer Data Platforms (CDPs) often lack the ability to incorporate external data and analyze the nuances of customer-channel interactions.
Solution
Whenwhyhow offers a Behavioral Customer Data Platform (CDP) that structures customer data and incorporates external events to provide customer-mindset analytics and AI-driven digital empathy. The platform integrates with existing digital channels, CRM systems, and external data sources via API to create behavioral profiles that predict customer actions and personalize interactions. By analyzing customer interactions in the context of external factors, Whenwhyhow enables businesses to improve customer loyalty, reduce churn, and boost lifetime customer value (LTCV). The platform also provides chatbot A/B testing and user chat skills profiling to optimize conversational flows.
Target Audience
The primary target audience includes companies in customer service-intensive verticals such as banking, insurance, utilities, e-commerce, and telecommunications, as well as data-driven companies looking to improve customer engagement and loyalty.
Features
- Customer Data Platform (CDP) built on a NoSQL database for modeling and structuring customer data
- Mindset-behavioral analytics based on correlating customer actions with external events
- Customer-journey analytics providing insights into digital channel and chatbot usage
- AI/ML-driven customization patterns for empathy generation within digital channels
- API-based integration with digital channels, CRM systems, and external data sources
- Chatbot A/B testing and user chat skills profiling
- Pre-built integrations for banking, insurance, telco, and e-commerce verticals
- GDPR compliance with pseudonymization of customer data