Non-Prescreened Non-Trigger Data

Types of Data
Written By Kelsey Apperson

This data is compiled from public record data and therefore may contain some inaccuracies or be outdated. Non-Prescreened, Non-Trigger data is most effective if Client needs require low cost.

Pros

  • The biggest reason to use non-prescreened, non-trigger data is the lower lead cost.

  • In addition, offers to this type of data do not require a firm offer of credit, which can mean less compliance hoops.

Cons

  • While the lead cost is lower, this also means the data quality isn’t as good. Much of this data is sourced from public records which can lead to outdated, redundant, or inaccurate data.

  • Because the data is generally limited to data available to the public, targeting your ideal audience may be more difficult with this type of data.

Strategies for Success

  • Make sure you partner with reputable data providers. Ask questions about how they obtain their data, what type of cleansing they do, and how often they refresh their records.

  • Look for a data partner with models that focus on your audience characteristics. Propensity to refinance, likelihood to respond, etc. may not be perfect, but it’ll help you drill down into some of the best data for your campaign.

  • Make sure to test different segments, creatives, and offers. With this type of data, you’ll have to be ready for a little trial and error to refine your marketing efforts.

Performance

  • When paired with the correct campaign, we’ve seen non-prescreened, non-trigger data yield response between 0.20% - 0.75%.

What next?

If you think this data is for you, check out our Non-Prescreened, Non-Trigger Data Resource Center.

Kelsey Apperson
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Non-Prescreened Pre-Trigger Data