ProspectDB - Provides targeted custom B2B email lists - ProspectDatabase, ProspectDB, prospect database, sales leads, business leads, leads, direct mail, telemarketing lists, mailing list, marketing list, business mailing list, business list
(877) 591-3252, direct mailing list, sic code, contact list, custom built lists, direct marketing, B2B, e-mail, e-mail lists, email lists, e-mail appendage, email appendage
Quick Links, decision maker, business information, profiles, prospecting, sales tool, CRM, SFA, sales prospecting, contact names, company contacts, business development, competitive intelligence

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Products and Services
We compile and update the information ourselves - so you are going straight to the source. There are no middlemen markups. We have the most current information on virtually every business. We stand 100% behind all of our records in our databases.

Feature Databases
ProspectDB is your partner for all direct sales and marketing campaigns, providing you with the highest quality off-the-shelf databases at a fraction of the cost of comparable solutions.

Custom Built Databases
How are custom built databases different? You have been through hundreds of list vendors, heard the pitch and tested their quality. Results: a good percentage of these lists are typically made up of duplicate records, and another portion are made up of invalid addresses. This can waste your marketing budget on promotional efforts that never reach the prospect, Not to mention the fact that these lists are rarely comprehensive enough to truly blanket your target markets.

Email Appending
E-marketing has become one of the most powerful, inexpensive, and indispensable components of a successful marketing campaign. E-marketing efforts are the most cost effective way to keep in contact with your prospects and customers efficiently. By doing this you will be the first company that comes to mind when they are ready to move forward with a purchasing decision.

Database Cleansing and Analysis
If your corporate database is like many others, it is probably a disaster. Databases are often not structured properly, include duplicate records, data normalization is nearly non-existent, and little or no segmentation is in place.

 

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