The startup provides a revenue analytics workbench that integrates with existing data warehouses and SaaS tools to deliver actionable metrics and user segments. This platform enables businesses to enhance revenue performance by facilitating data-driven decision-making and personalized campaign management.
Funding
$2.1M 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.
TVFounders
Product
Problem
Traditional product analytics tools often struggle to provide a comprehensive view of user behavior because they are disconnected from the underlying data warehouse. This separation limits the ability to enrich product data with business-specific context, hindering the ability to gain actionable insights. Furthermore, integrating data from multiple SaaS tools can be complex and time-consuming, leading to delays in decision-making.
Solution
Houseware offers an AI-powered product analytics platform that directly integrates with existing data warehouses, such as Snowflake, BigQuery, and Redshift, to provide a unified view of product and business data. By connecting directly to the data warehouse, Houseware enables users to enrich product data with business-specific entities and metrics, facilitating a deeper understanding of user behavior. The platform provides a suite of tools, including funnels, flows, trends, and retention analysis, to help product teams identify opportunities to improve user experience and drive revenue growth. Houseware also integrates with CDPs like Rudderstack, Snowplow, and Segment to provide a comprehensive view of the entire customer journey.
Target Audience
Houseware is designed for RevOps, Marketing Ops, Growth PMs, Product-led Sales, and Growth Engineers in B2B SaaS companies who need to make data-driven decisions about their products.
Features
- Direct integration with data warehouses (Snowflake, BigQuery, Redshift, Databricks) and CDPs (Rudderstack, Snowplow, Segment)
- AI-powered insights to proactively identify opportunities for product improvement
- Funnel analysis to track user conversion rates and identify drop-off points
- Flow analysis to visualize user journeys and identify bottlenecks
- Trend analysis to monitor key product metrics and identify fluctuations
- Retention analysis to understand user engagement and prevent churn
- Cohort analysis to segment users based on behavior and attributes
- Low-code semantic layer integration to define metrics and entities universally across the organization
- Customizable dashboards with predefined blocks and templates
- Collaboration tools for sharing insights and coordinating actions across teams