Property software platform and data business operating established UK residential brands
Houseful operates a portfolio of established property platforms (Zoopla, Hometrack, Prime Location, Mojo, Alto, Calcasa) serving the UK residential market. The stack reveals a data-forward business: Databricks, Delta Lake, PySpark, and Pandas sit alongside BI tools (Power BI, Tableau, Metabase), with Salesforce, Zuora, and HubSpot managing the revenue engine. Active hiring is sales-heavy (7 roles) relative to engineering (6), paired with pain points centered on upselling, churn, and adoption—suggesting the product org is fighting customer lifetime value rather than building new technical capabilities.
Notable leadership hires: Analytics Lead
Houseful is a property software, data, and insights business operating a family of trusted residential real-estate brands in the UK. The company serves property professionals and consumers with interconnected platforms spanning listings, valuations, market data, and underwriting tools. The portfolio includes Zoopla, Hometrack, Prime Location, Mojo, Alto, and Calcasa. With 501–1,000 employees based in London, Houseful is currently focused on expanding insurance offerings, improving retention through reduced manual friction, and increasing customer adoption of existing modules. The organization is actively scaling sales and data capabilities.
Houseful runs Salesforce, Workday, and Zuora for business operations; Databricks, Delta Lake, PySpark, Pandas for data; Power BI, Tableau, Metabase for analytics; and GitHub, Jira, n8n, Zapier for engineering and automation. The backend includes PHP, Laravel, NGINX, RabbitMQ, and Ansible.
Current projects include propertyfile application development, insurance proposition and property risk automation, AVM performance optimization, upsell and cross-sell module expansion, and engineering productivity tooling and spend consolidation.
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