Customer Lifetime Value Model: what this AI agent does and how to use it
Estimates customer value by tier and city from order history to guide retention and acquisition spend. Who it's for, the questions it answers, the data it needs and how to switch it on.
Try the Customer Lifetime Value Model live demo →
What it does
The Customer Lifetime Value Model agent is the specialist for this job: estimates customer value by tier and city from order history to guide retention and acquisition spend.
Who it's for
Your team. It runs in the console for your staff and through the REST API. It is a team agent, so it is never exposed to shoppers.
Questions it answers
Ask it in any of our languages, for example:
- "What is the average customer value by tier?"
- "Which cities have our most valuable customers?"
- "How much more do Club Gold members spend?"
The live demo shows these as sample prompts in your language, on a fictional store's data.
How it works
- It understands the question in the language it was written in, even when your catalog is in another language.
- It looks things up with tools, never from memory:
- Read-only sql over your retail data (sandboxed per workspace)
- It answers from your data, in your brand voice and currency, and shows which tools it used.
- Rules stay in code. Prices, eligibility and permissions come from your data and settings; the agent explains them and can't invent them. Why this matters.
The data it needs
Customers, Orders, Order lines. As soon as these tables are loaded, the agent is ready to switch on. Files can use your own column names: they're mapped automatically. See Connect your data.
Works well with
- Basket Affinity Analyst: Finds which categories are bought together and suggests bundles, adjacencies and cross-sell placements.
- Style Preference Profiler: Profiles customer style clusters from purchases by colour, category and price to guide ranging.
Your team can use them side by side in the console, or call each one through the API.
Turn it on
- Load the data it needs.
- Install Customer Lifetime Value Model from the Agent catalog and add your own instructions (guide).
- Test it in the Playground, in every language you serve.
- Invite your team or call it from your own systems.
New to ServiceBuddy? Start with how onboarding works.
Try it, and related AI Agent Buddies
Customer insight & research
Customer Lifetime Value ModelEstimates customer value by tier and city from order history to guide retention and acquisition spend.
Customer insight & research
Basket Affinity AnalystFinds which categories are bought together and suggests bundles, adjacencies and cross-sell placements.
Customer insight & research
Style Preference ProfilerProfiles customer style clusters from purchases by colour, category and price to guide ranging.
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Finds which categories are bought together and suggests bundles, adjacencies and cross-sell placements. Who it's for, the questions it answers, the data it needs and how…
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