What is Houseware?
Houseware is the AI-powered product analytics platform designed for modern product teams. It moves you beyond the limitations of traditional, point-and-click tools, connecting directly to your data warehouse to provide proactive, actionable insights. Recently acquired by LaunchDarkly, Houseware is positioned to deliver an even more integrated and powerful experience for building exceptional products.
Key Features
🤖 AI-Powered Copilot: Stop hunting for insights. Houseware’s Copilot proactively analyzes your data, flagging critical changes, identifying opportunities, and answering your complex questions in plain language. It's like having a seasoned data analyst on your team, telling you exactly where to focus your attention.
🏦 Direct Data Warehouse Connection: Get up and running in under 30 minutes without complex integration projects. Houseware connects directly to your existing data warehouse (like Snowflake, BigQuery, and more), ensuring you're analyzing a complete, real-time, single source of truth. This eliminates data silos and sync errors for good.
📊 Comprehensive Analysis Suite: Effortlessly build sophisticated reports that reveal the full story of your user behavior.
Funnels: Precisely map and measure conversion through critical user journeys, from onboarding to purchase, to identify and fix drop-off points.
Flows: Visualize the actual paths users take through your product to discover popular routes, unexpected detours, and friction points.
Trends & Retention: Track key metrics over time—from DAUs to feature adoption—and understand how effectively your product retains users week after week.
👥 Advanced User Segmentation with Cohorts: Go beyond simple demographics. Create dynamic user cohorts based on any combination of events, properties, or business data to compare behavior, test hypotheses, and personalize user experiences with unparalleled precision.
How Houseware Solves Your Problems:
Move from data overload to decisive action with clear, practical applications.
Accelerate Feature Adoption and A/B Testing: When you launch a new feature, you need to know its impact immediately. With Houseware, you can build a Trend chart to monitor its uptake in real-time and create a Funnel to see how it affects key conversion rates. Compare cohorts in an A/B test to get statistically sound results, allowing you to iterate faster and ship features that truly move the needle.
Pinpoint and Resolve User Journey Bottlenecks: Are users abandoning your signup process? Use the Flows analysis to visualize the exact paths they take and identify the specific step where they get stuck. By seeing the journey through your users' eyes, you can quickly troubleshoot friction, optimize the experience, and improve conversion. As Quizizz found, "The activation rate for our features has more than doubled since we’ve started leveraging Houseware’s product analytics.”
Inform Your Product Strategy with Deeper Insights: Instead of relying on intuition, you can make roadmap decisions with confidence. Use Retention and Cohort analysis to identify your most valuable user segments and understand what makes them stick around. These insights empower you to focus your development resources on initiatives that deliver the highest long-term value and customer satisfaction.
Conclusion:
Houseware isn't just another analytics tool; it's an insights engine designed to save you time, clarify your focus, and accelerate your progress toward key business goals. By combining a powerful AI Copilot with direct access to your complete data set, it empowers you and your team to understand your users on a deeper level and consistently build a better product.
More information on Houseware
Launched
2021-01
Pricing Model
Contact for Pricing
Starting Price
Global Rank
3131340
Follow
Month Visit
<5k
Tech used
Top 5 Countries
46.29%
29.58%
9.86%
5.14%
4.13%
United States
India
Vietnam
Taiwan
United Kingdom
Traffic Sources
6.16%
0.9%
0.08%
8.37%
41.71%
42.62%
social
paidReferrals
mail
referrals
search
direct
Houseware was manually vetted by our editorial team and was first featured on 2025-07-06.
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