Is your customer data strategy best-in-class?
Use Segment’s Customer Data Maturity Model to evaluate your data strategy and receive actionable recommendations on how to improve.
Segment has helped thousands of companies improve their data maturity
Evaluate your data maturity in 5 minutes
Fill out the four question evaluation and we’ll give you actionable and personalized recommendations. It’s quick, easy, and helpful.Take the quiz
Your data is fragmented, slow, and untrustworthy
You collect data reliably, understand it, and act on it
Data drives your KPIs and growth strategy
You lead your category with data-driven user experiences
Maturity model overview
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:
How you collect your customer data
Evaluating data collection involves looking at how complete, reliable, and standardized your customer data foundation is.
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.
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.
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.