Is your customer data strategy best-in-class?
Use Twilio Segment’s Customer Data Maturity Model to evaluate your data strategy and receive actionable recommendations on how to improve.
Twilio Segment has helped thousands of companies improve their data maturity
Customer Data Maturity Guide
Using hard-learned lessons working with thousands of businesses, from SMB to the Fortune 500, this guide outlines a blueprint for implementing customer data strategies to rival industry titans.
| Getting started
Your data is fragmented, slow, and untrustworthy
| Developing
You collect data reliably, understand it, and act on it
| Leading
Data drives your KPIs and growth strategy
| Visionary
You lead your category with data-driven user experiences
Twilio Segment’s Customer Data Maturity Model Methodology
You can only create exceptional customer experiences by investing in your customer data infrastructure. Companies that use customer data effectively can deliver better experiences, make better decisions, and more easily achieve their growth goals.
To help you understand your strengths and weaknesses when it comes to data maturity, we use these four core competencies:
Collect
How you collect your customer data
Evaluating data collection involves looking at how complete, reliable, and standardized your customer data foundation is.
Synthesize
How you synthesize your customer data
Synthesis is about turning data points into insights. Best-in-class synthesis means you can achieve a complete view of your customer, make accurate, trusted, audiences and customer profiles accessible to all teams, and generate insights from the data.
Act
How you take action using your data
The ability to take action on your customer data means customer interactions are personalized consistently in real time across all channels, resulting in lower customer acquisition costs and increased loyalty and customer lifetime value.
Adapt
How you adapt to changes in your business or industry
Adaptable customer data means it’s universally accessible, and easy to manage and change as new technologies emerge.