The startup offers a self-serve AI data product that transforms raw data into actionable customer insights through an intuitive interface designed for business analysts. This tool enables precise churn predictions and targeted upsell strategies, directly enhancing Net Run Rate (NRR) for SaaS companies.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DVFounders
Product
Problem
SaaS companies struggle to leverage the vast amounts of data they collect to proactively address customer churn, identify upsell opportunities, and accurately forecast revenue. Business analysts often lack the specialized skills to extract actionable insights from complex datasets, leading to missed opportunities and inefficient resource allocation.
Solution
Daisee is an AI-powered data product designed to provide SaaS businesses with actionable customer insights through an intuitive, no-code interface. By connecting to a company's existing data warehouse, Daisee employs generative AI to process raw data, identify key patterns, and generate predictions tailored to specific business objectives. The platform analyzes customer behavior, communication, and purchasing patterns to identify at-risk customers, surface revenue trends, and highlight upsell opportunities. Daisee empowers revenue operations and customer success teams to make data-driven decisions that improve customer retention, increase customer lifetime value, and optimize revenue forecasting.
Target Audience
The primary target audience includes Revenue Operations and Customer Success leaders within SaaS companies who need to improve customer retention, increase revenue, and make data-driven decisions.
Features
- Connects directly to existing data warehouses such as Snowflake, Redshift, and BigQuery
- Employs generative AI to guide users through data preparation, cleaning, and transformation
- Identifies at-risk customers and predicts churn based on key engagement metrics and communication analysis
- Recommends personalized product offerings to boost upsell and cross-sell opportunities
- Provides lead scoring to prioritize marketing efforts and improve conversion rates
- Generates accurate revenue forecasts by analyzing historical data and market variables
- Offers a no-code interface accessible to business analysts without data science expertise