Today we announced the launch of BlackBox, a service to help email service providers (ESPs) and direct marketers prevent abuse and fraud.

Bad Data with a Heart of Gold

In essence what we are providing access to a very large volume of purchased data that is actively circulating around data aggregators so that those who are responsible for email deliverability, marketing compliance or data acquisition can perform their own analysis, in-house, in order to prevent malicious clients or partners from abusing their platforms or budgets.

How to Prevent Abuse and Fraud

Prior to BlackBox our clients never really knew what you were going to get until they pulled the trigger. Is that list old, purchased, or a ticking time-bomb? Is their customer or supplier a good guy or something else? With BlackBox they know, before the damage is done.

ESPs are not only using BlackBox to vet new customers but also to predict bad behaviors. So, depending on the sophistication of the Email Service Provider, they are leveraging the BlackBox data in different ways. For example, some ESPs already have their own in-house process they use to prevent abuse, which is typically comprised of problem data that has already pass through their platform. They in turn are using the BlackBox as a preemptive layer which helps them to be more proactive as opposed to reactive. And for those who have not yet built their own anti-abuse tool, they are using BlackBox to jumpstart their efforts.

Likewise direct marketers, specifically those who are responsible for list acquisition, are using BlackBox to successfully vet prospective data partners and conduct periodic reputation audits of their data contributions. Say, for example, a list matches against BlackBox at X% or better, this is a very strong indicator of abuse or fraud. It is at least a very good reason to investigate their client,s or data contributor’s practices more closely.

BlackBox In a Nutshell

Indiemark is acting as bridge between the underbelly and the uppercrust of the email marketing industry. We want to see this bad data being used for a good purpose, like helping our clients to protect their investments, their reputation and their organization. Learn more.