Situation Your marketing department has launched a new campaign, and it's not going very well. Response rates are lower than expected. The first two mailings had an average 25% return to sender rate. Your outbound call center has accidentally called the same customers 5 times on the same day.
Money's being wasted, sales is upset because they aren't getting the leads they need, customers are angry because they are drowning in the 4 duplicate mail pieces you sent, and you've been threatened with fines because you accidentally called 3 people on the do-not-call list.
Issues
The first rule of customer data: the data's junk. Duplicates, incomplete information, old addresses, undeliverable addresses, and out of date information. And with the new do-not-call regulations, every call could get you slapped with an $11,000 fine if you're not careful.
Why's the data such a problem? Several reasons:
- Data Entry. This is simply human error. Sales or customer service entered the wrong information, or incomplete information.
- Multiple customer information stores get out of sync. The information is right in one of them, but which one?
- Customers move and contact information is old. 44 million people and 2.5 million businesses move every year.
- Duplicate entries for customers. This is caused by both human error - not looking to see if someone is already in the system - and having multiple systems for customer information.
- Inaccurate householding. Both the husband and wife are in the system, and both are solicited, instead of treating them as a single unit where appropriate.
- Do-not-call information has not been appended. By law, marketers now have to drop phone numbers for prospects who have registered for the do-not-call list every every 31 days. Many organizations don't have the infrastructure to do this regularly.
You need a way to minimize the human error, to merge duplicate customer information and recognize the relationships between members of a single household. You need make sure that you have the latest address, and that the address is actually deliverable to eliminate bounce backs. And you need to make sure you aren't getting fined for calling people who don't want to be called.
Solution
Global Image provides solutions to data quality and do-not-call compliance problems. Our services include:
- Address cleansing and standardization (standard format, append zip+4, CASS certification)
- Delivery point validation (verifies address is a real, deliverable address down to the apartment or suite number)
- National change of address integration (your data is updated as moves happen)
- Verification of information at data entry time
- Geocoding (appending latitude and longitude, county, census tract)
- Integration with state and national do-not-call registries
Using these data quality services, our clients can save on postage and printing, reduce undeliverable mail, increase response rates, eliminate wasteful duplicate mailings and ensure compliance with do-not-call statutes - avoiding costly fines.
Contact us today and let us show you how we can help you attract and retain more customers.
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