Data management best practices for CRM users
Seemingly small address errors will dilute data quality and ultimately hurt sales, marketing, and operational productivity. These errors are easy to make and are prevalent across all data collection channels, including marketing registration forms, contact and lead list imports, and manual record entry.
Ensuring the capture of accurate addresses across all channels is a large component of data management best practices. In doing so, CRM users will:
- Improve sales operations and territory management
- Enhance marketing profiling and performance
- Increase match results for duplicates & append services
- Protect branding and perceptions
- Cut mailing returns
Experian QAS recommendations for your business:
QAS Pro
Fast and accurate address validation that occurs as reps enter addresses into your CRM.
QAS Pro Web
Intuitive and interactive, user-facing address validation that ensures quality web lead submissions.
QAS Batch
Clean existing address records and new list imports to ensure database accuracy over time.
QAS Unify
Match new lists against your CRM database before import to avoid duplicate entries.
Experian QAS partners with leading CRM providers to offer address verification as a turnkey solution. Visit our partner section to learn more.
More benefits for sales, marketing, and support personnel:
Increase ROI
With more accurate and detailed contact information, expect follow up activity improvements, which will ultimately speed the sales cycle and generate greater revenue.
Reduce costs and rework
Each inaccurate address
gone unchecked translates into dollars lost in follow up campaigns and potential revenue uncollected.
Costs are further fueled by staff productivity losses. As data inaccuracies are uncovered, through returned mail, customer inquiries, or other performance indicators, staff resources will need to be re-routed.
Enhance analysis & reporting
With accurate and standardized contact data, analysis is easier and more reliable. Greater contact visibility will improve overall database management
, especially profiling and segmenting, which in turn will lead to more intelligent marketing and sales efforts.
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