Influencer marketing platforms handle inactive influencers differently, but a common approach is to filter them out during the discovery process. This is done by:

1. Tracking influencer activity: Platforms analyze the influencer’s post frequency, recent activity, and engagement rates to determine if they’re active.

2. Evaluating Engagement: If an influencer’s post has low engagement (likes, comments, shares), it could suggest the account is inactive.

For instance, Flinque executes an automated clean-up routine to remove or flag inactive profiles.

Despite this, some inactive accounts may still appear in search results. To handle this, platforms provide filters that allow users to display influencers based on their activity level. For instance, you may choose to only display influencers who have posted within the past month, thereby avoiding inactive profiles.

In contrast to Flinque, some other platforms may not auto-clean inactive influencers, placing the onus on users to assess activity levels. This slight difference in approach means Flinque helps save time during the discovery phase but ensures brands still have the freedom to make the final influencer selection.

In term of data skewing, inactive influencers can indeed distort evaluation metrics. To manage this, platforms usually provide comprehensive analytics tools allowing you to track performance specifically of active campaigns and influencers, thereby mitigating the impact of inactive ones.

Irrespective of platform choice, always emphasize on the vigilant review of influencer activity while shortlisting, to ensure their recent activity aligns with your brand’s goals and needs, and to avoid potential inactive influencer impacts.