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 Online Insurance Venue Cleans Out Bad Address Leads

InsureMe is a free consumer service specializing in helping consumers find the most competitive insurance rates or discount program prices available. The company’s website (Insureme.com) generates about 40,000 to 50,000 visitors a day. With that many potential clients going their way, InsureMe turned to Melissa Data for some data quality help.

InsureMe is not an insurance company or an agent, so it does not provide insurance or discount program quotes directly to the consumer. Insurance quotes are provided by the competing insurance professionals. The site represents more than 5,000 insurance agents and offers a choice from more than 300 insurance carriers featuring automobile, life, health, home and long-term insurance policies.

Visitors to the site can apply for a free insurance quote by completing InsureMe’s quote box and filling out personal information. Here is where Melissa Data steps in. InsureMe uses Melissa Data’s Data Quality Web Service (DQWS) to catch data entry errors, verify and standardize names and addresses entered onto the site. DQWS reduces data entry errors and automatically completes city/state fields.

James Harvey, a software principal at InsureMe, says the firm verifies names and addresses in real time. The company uses several add-on products to DQWS such as name parsing and DPV™ to validate addresses to an actual point of delivery.

“Using DQWS is very beneficial to our company,” Harvey says. “We couldn’t do business without it. It’s the most affordable [data quality] service and it serves our purpose.”

InsureMe generally processes about 10,000 addresses a day. About 3,200 valid addresses get cleaned using DQWS, Harvey estimates. Most of the other addresses were either invalid or incomplete. That means using DQWS has cut down on a chunk of junk leads, and has saved the company a lot of time and effort in capturing bad address data.

 


           


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