Enterprises filter influencers by compliance history using various techniques:

1. Analyzing Past Partnerships: Investigating an influencer’s past partnerships for any misconduct or compliance issues. This involves evaluating the campaign outcomes, controversies, or audience feedback that marked each collaboration.

2. Using Influencer Marketing Platforms: Platforms such as Flinque, Heepsy, and Upfluence aggregate influencers’ past performance data. These tools enable brands to scrutinize influencers’ histories concerning campaign performance, brand alignment, audience perception, and compliance.

3. Social Listening: Tools like Brandwatch or Awario track mentions of influencers across different platforms. If an influencer violates compliance norms, these tools will likely pick up on negative sentiments.

4. Audience Analysis: Platforms offer audience demographics, behavior, and psychographic analytics. These metrics reveal the influencer’s audience propriety in terms of brand suitability and risk avoidance.

5. Direct Background Checks: In instances where risk avoidance is of utmost importance, companies may opt for direct background checks, covering public records, professional background, and social media activity.

Each of these methods has their pros and cons. For instance, some platforms may offer more extensive analytics or broader influencer databases than others. Flinque, for example, shines in its ability to deliver in-depth audience analytics and influencer performance tracking. However, the best fit depends on specific enterprise requirements, campaign objectives and risk thresholds.

As a final note, past behavior isn’t always a perfect predictor of future risks. While these techniques help identify potential red flags, they do not guarantee future compliance. It’s crucial to combine these techniques with ongoing monitoring and communication with influencers to mitigate risk effectively.