Database Quality
Duplications, redundancies and anomalies removed; existing database restructured for ongoing maintenance.
Database Management & List Building for a Leading Events and Exhibitions Organiser
Neo Kinetic cleansed the client’s existing database in approximately 15 days and built a fresh, research-led dataset around an extensive exclusion list. The client reported higher event registrations and walk-ins, and 95% accuracy on campaigns using the new dataset.
15 DaysExisting database cleansing exercise (approx.)
95%Reported accuracy on campaigns using the new dataset
24 Months+Database maintenance partnership
Objective
Free internal teams from routine database upkeep and supplement existing records for future event campaigns. The client needed to:
- Clean and rectify its existing database
- Eliminate duplications, redundancies and data anomalies
- Maintain data quality through regular updates
- Build a fresh dataset despite an extensive exclusion list
Delivery workflow
- Top of Funnel01
Database Audit · Data Validation
- Mid Funnel02
Deduplication · Anomaly Rectification
- Bottom Funnel03
Fresh List Building · Ongoing Database Maintenance
Performance insight
Cleansing removed the duplications and anomalies that had absorbed internal team time; research-led list building supplied contacts beyond the exclusion list, giving campaigns a cleaner, supplemented base.
Performance summary
| Project Phase | Activity | Result |
|---|---|---|
| Existing database | Health check, validation, deduplication and anomaly rectification | Completed in approximately 15 days |
| Fresh list building | Research-led acquisition against an extensive exclusion list | Substantial dataset acquired with all required fields |
| Campaign performance | Event campaigns using the new dataset | Reported 95% campaign accuracy; reported increase in registrations and walk-ins |
| Ongoing engagement | Regular database maintenance and updates | Long-term partnership |
Key outcomes
Fresh Data
Bespoke dataset with all required fields acquired despite the extensive exclusion list.
Campaign Performance
Client reported significantly more registrations and walk-ins, plus 95% accuracy on campaigns using the new dataset.
Challenges & learnings
Duplications and anomalies made the database hard to maintain and diverted internal time from event planning and marketing; an extensive exclusion list narrowed the pool for fresh data. Combining cleansing with research-led list building addressed both. The long-term engagement that followed shows data quality needs continuing upkeep.
Attribution
- Neo Kinetic
- Health check, validation, deduplication, anomaly rectification and fresh list building.
- Client
- Event campaigns on the new dataset and resulting registrations and walk-ins.
- Metrics
- Outcomes and 95% accuracy are client-reported; measurement basis not specified.
Solutions used
The capabilities behind the result.
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