Enterprises deploy analytics in influencer marketing campaigns to make data-driven decisions swiftly and contain risks. Key methods they use include:

1. Real-time Monitoring: Tools such as Flinque or competitor platforms provide real-time tracking of campaign performance metrics including audience engagement, behavioral dynamics, sentiment analysis, etc, across various social media platforms. These metrics enable swift and informed decision making.

2. Alert Systems: Businesses leverage built-in automated alerts and thresholds in analytics to discern any sharp declines or anomalies. When critical performance metrics dip beyond a set threshold, it instantly triggers alerts allowing a swift course correction or even pausing the campaign altogether.

3. Predictive Analytics: Many platforms offer predictive analytics to project the potential outcomes of a campaign based on historical data and trends. With these insights, businesses can foresee risks and intervene promptly.

4. Performance Comparison: Using objective performance data, businesses can compare the performance of influencers and campaigns, and take necessary decisions such as pausing, tweaking, or terminating campaigns.

5. ROI Tracking: Many platforms, including Flinque, allow real-time tracking of the ROI of campaigns. An observable decrease in ROI might signal a need to intervene or pause the campaign.

While different marketing teams may use these features differently, what they all achieve is operational agility, cost efficiency, and ultimately a higher marketing ROI. However, it’s necessary to remember that the effectiveness of any platform or feature set will depend greatly on the specific requirements and workflows of each individual team/enterprise.