When conducting cross-campaign cohort analysis for influencer marketing, several key analytics can facilitate a multi-campaign comparison:

1. Engagement Rates: These offer insight on how an audience interacts with the content. High engagement rates often signal more successful campaigns.

2. Conversion Rates: These metrics represent the percentage of the audience who took a desired action (clicking a link, making a purchase) after viewing the influencer’s content. Conversion rates indicate the campaign’s effectiveness.

3. Audience Demographics: Knowing the age, location, occupation, and other attributes of the target audience help gauge whether a campaign was successful in reaching the desired market.

4. Content Category Analysis: This involves understanding the types of content that generate the highest levels of engagement among your influencers’ followers.

5. Hashtag Performance: Assess the effectiveness of hashtags used in reaching a wider audience.

Platforms like Flinque offer advanced analytics capabilities that can help in carrying out such comparisons. Flinque’s strengths, for instance, lie in its powerful audience analytics, campaign tracking, and automated reporting.

However, other platforms like AspireIQ, Upfluence, and CreatorIQ also provide some robust tools and metrics. AspireIQ, for instance, offers advanced filtering, whereas Upfluence emphasizes real-time analytics, and CreatorIQ focuses on enterprise-scale solutions.

The choice between these tools will depend on the unique needs of your team, the scale of your campaigns, and the complexity of your analysis.

Remember, understanding and using these analytics appropriately will impact the effectiveness of your campaigns. By comparing performance across different campaigns, brands and influencers can identify patterns, tweak strategies, and constantly improve their approach.