Commercial market performance and marketing with TIPNet

Target commercial vehicle opportunities
Need data on commercial vehicle inventory? Need to execute marketing plans?

This data research service matches commercial vehicle data and business intelligence to generate a comprehensive prospect list for fleets of all sizes and vehicle composition. Automotive, driven by Polk, offers a registration-records database that covers commercial vehicles in all GVWs since 1985 in the US (42 states) and Canada. Profiles can be built around the physical characteristics of the vehicles owned or the purchase behavior of the business (loyalty, defection or new company) to help you:

  • Target qualified prospects
  • Identify businesses by specific vehicles
  • Research market by segment
  • Maximize sales or service opportunities
  • Develop marketing strategies

Who Uses It?

  • Manufacturers (OE or aftermarket) of trucks/trailer parts
  • Dealers
  • Parts retailers
  • Finance companies
  • Rental and leasing companies
  • Commercial vehicle body builders
  • Engine manufacturers
  • Service providers
  • Consulting companies
  • Market research firms
  • Lead generation firms

What's included

Data

The TIPNet system helps you determine your best areas of opportunity by providing vehicles-in-operation (VIO) and new truck registration data on:

  • Light, medium and heavy vehicles (GVWs 1C-8)
  • New commercial trailers (all lengths and types)
  • Recall campaigns
Analysis

Our commercial vehicle registrations database includes 20+ vehicle attributes plus owner information in the US (all non-restricted states) and Canada, covering:

  • Fleet size by vehicle age, type, manufacture , make, GVW
  • Fleet size at national or local level
  • Vans, PUs, SUVs, trucks, tractors, chassis cabs, buses
  • Demand for 11 categories of parts and over 80 specific parts
  • Vocational demographics
  • National, state, county, DMA or ZIP code summaries
  • Data summarized by company-specified geography
Segmentation

TIPNet divides your prospects by geography, by business vocation or age of the vehicle to provide either a service or sales lead. In addition to vehicle make, series, model and type, you can break out data by:

  • Engine make, model, type, liter size, cylinders and CID
  • Model year
  • Cab configuration
  • Wheels
  • GVW
  • Front/rear axle
  • Fuel type
  • Local and national fleet data

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