Analyze customer needs with LLMs
Use large language models (LLMs) to analyze customer voices, identify the value they seek, and explore what makes them hesitate to buy. We aim to present findings alongside the supporting statements and data.
MARKETING AI · IN DEVELOPMENT
An AI SaaS in development,
grounded in Philip Kotler’s marketing principles.
Why do people buy? What makes them hesitate, and what value do they seek?
Grounded in Kotler’s marketing principles, we’re developing an AI SaaS that combines LLM-based needs analysis with customer digital twins to predict responses and purchasing behavior.
We value what customers gain and the trust that lasts. Our goal is marketing where AI handles analysis and repetitive work, so people can focus on decisions.
See what we’re buildingUnderstand, predict, act, and learn.
One connected workflow.
Use large language models (LLMs) to analyze customer voices, identify the value they seek, and explore what makes them hesitate to buy. We aim to present findings alongside the supporting statements and data.
Build digital twins that model customer needs and choice patterns in a virtual environment. Simulate responses and purchasing behavior as products, prices, and messaging change, supporting comparisons and decisions before launch.
Use needs analysis and simulation results to draft target audiences, value propositions, marketing plans, and content. We’re designing an automation workflow where your team approves before execution.
Treat predictions as hypotheses and validate them against post-launch responses and purchasing data. We aim to feed the results back into customer models and campaigns for continuous improvement.
Planned capabilities. The service is currently in development.
“I want good coffee at home. Choosing beans every time is a hassle.”
The customer may value an easier choice as much as the quality of the coffee.
“Your next favorite coffee. Selected for you, delivered to your door.”
A fictional example for a coffee subscription. Not customer data or output from a live service.
GROUNDED IN KOTLER’S MARKETING PRINCIPLES
Segment the market, choose whom to serve, and clarify why customers would choose you. Following STP—segmentation, targeting, and positioning—we plan to organize customer profiles and value propositions, then recommend the next marketing initiatives.
Align product, price, place, and promotion around a consistent strategy. Guided by the 4Ps, we aim to support planning and execution, and automate the work of improving marketing through its results.
Currently in development. This does not imply supervision, endorsement, or affiliation by Philip Kotler.
IN DEVELOPMENT · BUILT AROUND CUSTOMER UNDERSTANDING
We’re developing a marketing AI SaaS.
Our first step is to connect customer insight with campaign planning.