Prescreened Pre-Trigger Data

• Types of Data
  • Mar 11, 2019 Non-Prescreened Non-Trigger Data
  • Mar 11, 2019 Non-Prescreened Pre-Trigger Data
  • Mar 11, 2019 Prescreened Non-Trigger Data
  • Mar 11, 2019 Prescreened Pre-Trigger Data
  • Mar 10, 2019 Prescreened Trigger Data

This data is generated from consumer search and browsing history. Signals indicate the consumer is searching for a specific type of product. This data includes credit information provided by the credit bureau(s) and requires approval before purchasing, as well as compliance with FOC guidelines.

Pros

• Prescreened pre-trigger data allows for targeting borrowers early in their decision.

• As a pre-trigger, this individual has exhibited behavior that shows they are in the market for your product.

• Because it is prescreened, targeting can be more focused and reliable.

Cons

• Because the leads are early in the process, there will likely be a longer sales cycle and may be some churn from leads who change their mind.

• This type of data does require a Firm Offer of Credit, so offer requirements are more strict.

Strategies for Success

• Be thorough with your screening criteria (debt, credit score, loan amount, etc). Ensuring that there is a need for the borrower will allow for a better pitch.

• Because these leads are early in the process, be prepared for a little more hand-holding and sharing of information

• Due to the longer sales cycle, a multi-touch marketing campaign is ideal for these leads. A one-and-done strategy will certainly leave deals on the table.

Performance

• When paired with the correct campaign, we’ve seen prescreened, pre-trigger data yield response between 0.25% - 0.75%.

What next?

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