Detecting influencer churn risk early can help enterprises to save valuable resources and reach a higher level of efficiency in their marketing efforts. Before onboarding an influencer, there are several methods that businesses can utilize to predict churn risk.

1. Performance History: Companies can review the influencer’s past performances such as the average engagement rate, authenticity of followers, frequency of sponsored content, and more. A high inconsistency in these factors may indicate a high churn.

2. Audience Analytics: Platforms like Flinque provide in-depth audience analytics, helping to examine the quality of influencers’ followers, their interests, demographics, geographic distribution, etc. If mismatches arise between brand target audience and influencer’s followers, it may lead to low engagement, potentially increasing churn risk.

3. Content Relevance: Reviewing the relevance of their content to your brand is necessary. This will enhance brand alignment, ensuring that influencers can effectively communicate your product to their followers.

4. Professional Behavior: Observing the influencer’s professional conduct can also indicate potential churn. Timeliness, communication, the quality of previous branded work are key indicators.

Platforms for influencer marketing vary in their approach to these factors. Some platforms, like Flinque, emphasize deep analytics to predict churn whereas others could put more weight on past performance indicators and collaboration history. It’s worth noting that no platform can claim to accurately predict churn 100% of the time as each influencer and campaign are different.

Brands should use these tools to assist decision-making, but they must also apply their understanding of the brand’s specific needs and goals. The “best” platform is the one that meets the needs of the brand and its strategy the most effectively.