Assess your customer data maturity
Take this self-assessment to understand your org’s maturity level and identify opportunities to unlock more value from your customer data.
See how you compare to your peers
- Level 1: Reactive
Teams utilize multiple tools for data activation, but lack process, ownership, and integrations to scale effectively and maximize the business impact of these systems.
- Level 2: Centralized
Teams collaborate on first-party data strategy and implement a customer data infrastructure with integrations. Stakeholders can act on data faster, and each tool in the MarTech stack can deliver more value.
- Level 3: Advanced
Teams automate identity resolution, data quality, and data privacy, laying the foundation for AI personalization. Data is transformed into force multiplier that maximizes the impact of each tool it enters.
Get actionable takeaways
Level up with realistic recommendations on how you can improve your customer data maturity and maximize the ROI of your MarTech stack.
Learn how to:
Automate identity resolution, data privacy, and data quality
Define customer data ownership and increase collaboration
Get started with AI predictions and journey building
Based on real data
We spoke with individuals at dozens of consumer brands like Airbnb, ChowNow, and Burger King to developed a maturity model based on trends we identified. Next, we surveyed 100+ practitioners to ensure that the model reflects the challenges faced by teams like yours.
It’s time to unlock the value of your customer data
Successful personalization at scale requires intentional planning around customer data management, process, and tooling. Understand your customer data maturity and identify areas for improvement so that you can deliver meaningful customer experiences, increase loyalty, and maximize lifetime value.