Data quality is a major obstacle for revenue teams. Missing fields, outdated info, and inaccurate CRM records waste time and cause missed opportunities. Sales teams struggle with incorrect contact details, while RevOps teams deal with inconsistent data, impacting forecasting and growth.
Why is poor data quality an issue?
- Wasted Time: Teams spend hours fixing CRM records and searching for missing information instead of focusing on revenue-generating tasks.
- Inaccurate Forecasting: Unreliable data leads to misguided strategies and poor decision-making.
- Missed Opportunities: Incomplete data prevents effective lead qualification and outreach, hurting revenue.
Introducing Property Manager
Property Manager is an AI-powered feature designed to solve data quality issues by enhancing CRM accuracy and completeness.
- Internal & External Data Sources: Analyzes CRM data (contact details, emails, notes, LinkedIn DMs) and queries external platforms like LinkedIn, Google, and company websites to fill in gaps and verify information.
- Automated Imputation: AI algorithms populate CRM fields, reducing manual entry and errors. Users decide whether to enrich data using internal, external, or both sources.
- User Control & Feedback: If no info is found, fields remain blank. When information is unclear, Property Manager asks for user input, ensuring control with minimal manual work. Users can review enriched data and provide feedback to improve AI accuracy.
Benefits of Property Manager
- Improved Data Quality: Automated collection and validation ensure consistent, accurate CRM data.
- Increased Efficiency: Less manual data entry means more time for high-impact activities.
- Enhanced Insights: Accurate data enables deeper customer insights and more effective personalization.
Empower Your Revenue Team
Property Manager helps revenue teams focus on building relationships, optimizing sales, and driving revenue by eliminating data quality issues. Reclaim your time and boost growth with cleaner, more reliable CRM data.