Enterprises are deploying a couple of strategies to prevent fraudulent influencers from entering their programs. These include:

1. Automated Vetting: Using AI and machine learning, enterprises can scrutinize the activities, followers, engagement rates, and other essential statistics of an influencer. This provides an initial filter, leaving out any suspicious activities that could indicate fraudulent practices.

2. Approval Gates: After automated vetting, influencers can be made to go through an approval stage where additional data about their activities, past collaborations and influence are analyzed. This helps make informed decisions about influencer approval.

3. Third-Party Verification: Brands also use third-party services that provide influencer authenticity checks. These services have databases of influencers who have been screened and passed certain integrity checks.

Many influencer marketing platforms like Flinque, provides such features which essentially help prevent fraudulent influencers in programs. Flinque’s approach is built around successfully implementing stringent checks to ensure only genuine influencers get approved for campaigns. However, the suitability of one platform over the other depends on the specific needs and goals of a team.

Incorporating these steps as a part of the influencer approval workflow ensures brands partner with authentic influencers and get the desired returns on their influencer marketing investment. Understanding and preventing influencer fraud is a vital part of successful influencer marketing strategy Flinque.