Discover how Tawuniya, Saudi Arabia’s leading insurer, partnered with Lemnisk to transform customer acquisition and retention through hyper-targeted digital journeys.
Discover how Tawuniya, Saudi Arabia’s leading insurer, partnered with Lemnisk to transform customer acquisition and retention through hyper-targeted digital journeys.
Insurance companies sit on some of the most valuable customer data in any industry. Policy histories, claims records, renewal windows, life events. Most of it goes unused — not because insurers lack the data, but because the systems holding it were never built to work together. Composable CDPs are changing that.
40%
Of insurance leads unreachable by phone, wasting marketing spend
99%
Of insurers investing in or planning AI adoption in 2024 and 2025
50%
Of insurers will compete primarily on customer experience by 2026
The Core Problem
One Customer, Five Systems
Your customer is one person. Your systems treat them like five.
Policy, claims, and digital data remain fragmented, leading to disconnected customer experiences. Traditional CDPs aimed to unify this data but often created rigid systems, vendor lock-in, and governance challenges.
Built on existing infrastructure with no system replacement or data migration. A composable CDP sits above your stack and creates a unified, real-time customer view while keeping data inside your environment for full control and compliance.
01
Ingest
CRM, policy, claims, and channel data
02
Unify
Real-time customer identity and profiles
03
Decide
AI-driven scores, triggers, and predictions
04
Activate
Real-time outreach across all channels
The Gap Between Insurers Keeps Growing
Insurers winning on data are moving faster, while others fall behind. A composable CDP helps insurers use existing data without replacing systems or risking compliance — improving renewals, cross-sell, acquisition costs, and customer experience.
Lemnisk combines real-time data unification with its Ramanujan AI engine to power personalized cross-channel journeys at scale, turning fragmented data into real-time action.
