Deloittes GenAI Customer Segmentation employs an agent-based architecture that unites AI-driven modeling with dynamic data streams helping businesses understand and predict customer behavior to enable targeted, profitable engagement.
You need to understand your customers on a deeper level to deliver the seamless, relevant customer experiences they expect. We bring a data-led, agent backed view of your customers to more effectively segment them, helping you to deliver tailored, personalized experiences across the entire customer journey. Converge by Deloitte's GenAI Segmentation, enabled by Snowflake, helps you take your customer-led growth strategy to the next level and increase return on investment. THE CHALLENGE: In today's fast-paced market, customers expect to get what they want, where they want it, in minutes-not days. While hyper-personalization has become an expectation, many companies still struggle to leverage data-driven methodologies to effectively segment their audiences and customers to deliver the right experiences to the right people to move the needle on outcomes.
THE SOLUTION: Our end-to-end, agent backed, GenAI Segmentation runs within Snowflake's ecosystem, including a user interface. We combine client 1P data, outside-in 3P data, market insights and predictive modeling to segment audiences and customers with end outcomes top of mind.
The result: data-driven segments that are actionable, meaningful, and practical, so companies can engage in a more relevant, targeted way with audiences and customers
Get in touch with Natalie Groff Natalie (ngroff@deloitte.com) for more details.
Highlights
HOLISTIC Includes 1P and outside-in 3P customer and market data
ADVANCED Leading GenAI + ML based segmentation capabilities
WIDELY APPLICABLE Multiple tested B2C & B2B applications for customer segmentation and store/market segmentation across various industries
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This contract-based listing offers two separate pricing dimensions billed per unit. The POC dimension covers a proof-of-concept engagement, letting you evaluate the customer segmentation solution before broader use. The Refresh dimension covers ongoing updates to your segmentation after the initial setup. These are independent options, not tiers, so you select each based on your stage. Both dimensions note a CPPO (Consulting Partner Private Offer) arrangement, meaning final terms are handled through a private offer rather than fixed public pricing. Review the Support Details for the CPPO offering that applies to your engagement.
Top-of-mind questions for buyers
What does the POC dimension actually deliver for a customer segmentation engagement?
The POC covers a proof-of-concept run of the customer segmentation solution. It feeds first-, second-, and third-party data into AI models to generate customer segments. Generative AI summarizes segment insights and estimates headroom opportunity per segment. This lets you validate results before committing to broader use.
How does the Refresh cost relate to the POC cost on my bill?
The two dimensions bill independently, not as tiers. You pay the POC cost for the initial proof-of-concept work. The Refresh cost applies separately when you update or regenerate your segments later. Neither charge triggers the other automatically. You select each based on your stage.
What does the CPPO note on both dimensions mean for how I get pricing?
Both dimensions are billed per unit but note a Consulting Partner Private Offer (CPPO). This means final terms are arranged through a private offer rather than fixed public pricing. Check the Support Details for the CPPO offering that applies to your engagement to confirm scope and terms.
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