The Forrester Wave™: Customer Analytics Services, Q2 2025
Customer analytics services providers help businesses transform complex customer data into actionable insights to drive growth and competitive advantage. In an evolving landscape where customer expectations change as rapidly as technology, businesses face pressure to deliver seamless, personalized experiences with rapid response times. While commoditization of basic customer analytics (churn models, propensity models, lifetime value, segmentation) has accelerated, vendor differentiation now depends on the depth of insights facilitated by advanced technologies like graph databases and vector embeddings for richer contextual understanding. Leading providers distinguish themselves by turning insight into impact through advanced decision optimization, real-time feedback mechanisms, and explainable AI to drive smarter, faster outcomes.
No common features specified.
Vendors must, among other requirements:
A: This research evaluates 10 customer analytics services providers across their current offering capabilities and strategic vision. The evaluation focuses on providers that specialize in advanced customer analytics services such as churn analysis, behavioral segmentation, and customer lifetime value analysis. Vendors were assessed on criteria including data sources and types, customer data models, personalization, analytics capabilities, insights delivery and activation, decision optimization, vertical and functional expertise, and strategic elements like vision, innovation, partnerships, pricing flexibility, and global delivery.
A: This research should be used by enterprises seeking to select a customer analytics services provider. It is intended as a starting point for evaluation, helping buyers understand how different vendors compare across capabilities and strategy. Companies should use this to identify providers that align with their specific needs—whether that's end-to-end CX transformation, personalization excellence, industry-specific expertise, AI-powered automation, or particular vertical specialization. The interactive comparison tool allows clients to weight criteria based on their own priorities.
A: Vendors must specialize in customer analytics with services including churn analysis, behavioral segmentation, and customer lifetime value analysis. They must generate at least $40 million in annual revenue from customer analytics services representing at least 50% of total revenue. Vendors must serve clients across diverse verticals and maintain strong mindshare among Forrester's enterprise clients through frequent mentions in inquiries, advisories, and competitive assessments.
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A: Strength of Offering evaluates current capabilities including data sources, customer data models, analytics competencies across the customer lifecycle (acquisition, retention, personalization, CX), emerging analytics like genAI, ModelOps, insights delivery and activation, decision optimization, AI responsibility, vertical and functional expertise, measurement, project management, change management, and training. Strength of Strategy assesses forward-looking elements including vision for market evolution, innovation focus (particularly in agentic AI and genAI), partner ecosystem depth, pricing models and transparency, talent development and retention strategies, and global delivery capabilities.