Improved Database Health:
Reduced invalid and inactive records by 65%.
Manual Work Reduced
Engagement Boost
Faster Follow-Ups
Fragmented workspaces and person partitions.
Inconsistent data caused by a lack of governance.
Ineffective operational campaigns affecting data accuracy.
Conduct a comprehensive database audit.
Implement a structured cleanup and data management framework.
Establish ongoing monitoring for sustained database health.
Evaluated alignment between business units and configurations.
Recommended smart campaigns for partition assignments and ensured default workspace access.
Created custom smart lists for critical field completeness, duplicate records, and inactive leads.
Resolved mismatches causing CRM sync errors.
Standardized field values for countries, job titles, and industries.
Targeted invalid, duplicate, and inactive records. Conducted reactivation campaigns before purging non-marketable leads.
Established governance processes and created a data dictionary.
Monitored demographic field completeness and lead activity.
Configured lead performance reports and scheduled periodic reports.
Established a 30-day review cycle for cleanup and monitoring campaigns.
Reduced invalid and inactive records by 65%.
Centralized processes ensured consistent data across partitions.
Better data quality improved targeting and personalization, increasing lead engagement by 45%.
Ongoing monitoring reduced future cleanup efforts, saving time and resources.