Manufacturer, Dealer and Lender Insight
For a Clearer Market Perspective, RigDig BI
True market insight means having access to the cleanest, most comprehensive market data available. Data that not only guides your critical strategic decisions, but also leads you to the real sales opportunities.
EDA information is the backbone of RigDig Business Intelligence. With over 1,000,000 active trucking entities, RigDig Business Intelligence can help you unearth specific details about current customers, potential prospects, fleets and owner operators.
See what no other source provides.
- Identify ideal target prospects that are not in your database
- Arm your sales team with needed information on customers & prospects
- Quickly reach your prospects through multiple channels
- Find active fleets and owner operators
- Integrate into your CRM tool.
Top 10 Truck Types
The count of units and buyers for the 10 most common equipment types in our database.
EQUIPMENT TYPE | UNITS | BUYERS |
CLASS 8 TRUCK | 849,681 | 252,705 |
MECHANIC | 171,994 | 161,832 |
CLASS 7 TRUCK | 92,711 | 38,064 |
CLASS 6 TRUCK | 64,438 | 34,300 |
SVC VEHICLE BODY | 9,763 | 4,989 |
CLASS 5 TRUCK | 1,452 | 852 |
BUS | 454 | 200 |
CLASS 4 TRUCK | 439 | 303 |
CLASS 3 TRUCK | 167 | 152 |
CLASS 2 TRUCK | 137 | 106 |
EDA Online Solution
Our online interface is a robust business tool loaded with unmatched market insight and analytical tools. Including automated reporting, buyer equipment data from multiple sources, e-mail addresses, firmographics and more.

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White paper
Dealers Succeed Using EDA
Using EDA information, PAS clients have doubled and even tripled their close rate on meetings scheduled with C-level executives.
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Case Study
Connecting Dealer Marketing With End-User Communication Preferences
Technology has changed the way construction equipment dealers market and communicate. Are their methods on target with what end-users prefer? The AED|EDA Dealer Marketing Report examines...
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Blog
Making Sense of Big Data, Part One: Drinking from the Firehose
We all see the term Big Data in the business press and in big-picture presentations from respected colleagues. The term is used to describe how successful businesses are using vast, yet granular troves of information to make decisions, particularly in sales and marketing.
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