A TypeScript CRM and customer value management platform for analyzing and optimizing customer relationships.
A technical guide to building real-time customer profile systems using event streaming in TypeScript, covering event-driven architecture, stream processing, profile materialization, and consistency guarantees.
A practical guide to defining, measuring, and acting on customer engagement metrics in CRM platforms, with a focus on metrics that drive retention and revenue in fintech.
A strategic guide to building and operating a data-driven CRM practice, covering organizational alignment, data governance, analytics maturity models, and practical implementation roadmaps.
A technical walkthrough of designing and implementing a campaign management system in TypeScript, covering campaign lifecycle, audience targeting, multi-channel delivery, and performance tracking.
A technical guide to building churn prediction models in TypeScript for fintech CRM platforms, covering feature engineering, model training, scoring pipelines, and operationalizing predictions.
A comprehensive guide to implementing customer journey analytics, covering data collection strategies, journey mapping, funnel analysis, and actionable reporting for CRM platforms.
A technical guide to designing and implementing a real-time personalization engine in TypeScript for CRM platforms, covering recommendation algorithms, feature stores, and A/B testing integration.
An in-depth guide to designing data models for CRM systems in TypeScript, covering entity relationships, event sourcing, temporal data, and schema evolution strategies.
How to design and implement scalable customer lifetime value models in TypeScript, from basic cohort analysis to probabilistic forecasting for fintech CRM platforms.
A practical guide to building scalable customer segmentation systems in TypeScript, covering data pipelines, clustering algorithms, and real-time segment assignment for CRM platforms.