Listcleaning

OUTSOURSE YOUR CRM DATABASE HYGIENE

Data. It’s the bane of every marketer and sales director’s life. No sooner is a record entered in the CRM or sales management system than it begins to age.

It’s no surprise that up to 30% of a database can go out of date every 12 months.

Sending multiple letters to a potential customer can have a damaging impact on their perception of your company's professionalism and business ethos.

Not only is multiple mailings a sure way of damaging your company’s reputation, it makes no business sense - You waste postage, publication costs and staff time. Having multiple records for the same individual, albeit not exactly the same, can also lead to confusion and data entry errors.

Our in-house developed software AddressAnalyser03 identifies duplicate contacts using our advanced fuzzy-logic algorithm which recognizes similarity between records regardless of spelling mistakes, inconsistent formatting, abbreviations, typos, or data in the wrong fields.

The result is one of the most accurate duplicate finding software tools available!

Another advantage is that clean data can be easily analyzed and the action taken on accurate data will surely provide better results. Data cleansing is for your own betterment as it forms a solid base for your future research and database management. A technically accurate data list will keep your projects on track and your efforts targeted.

We should stress on the fact that all the processing of standardization, normalization and de-duplication is semi-automated within our data repairing bureau. We believe human intervention is a must at every stage of database processing so we rely on our experienced operators. We are sorry to say at least 50% of our business is rescue operations after somebody’s CRM database had been handled by some widely advertised fully automated software… what you gain twice as much you loose in such case!

• Database audit
• Standardise the format
• Controlling fields functionality
• Normalise and parse each record, correcting the layout of each element of the record
• Personalisation for mailing purposes
• Controlling and update of the postal code
• Functionalisation of incorrect records where possible
• Flag the corrupted records
• De-dupe database with mark-merge and flagging of duplicates
• Compress database back into the necessary format
• Analytical report about database status

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