Influencer marketing strategies often rely on a range of data and analytics to make informed decisions. Here are the main types of data:

1. Audience Demographics: This includes information about an influencer’s audience such as age, gender, location, and interests. This helps ensure the influencer’s audience aligns with the agency’s target audience.

2. Engagement Metrics: These metrics reveal how the audience interacts with an influencer’s content. They include likes, shares, comments, view time, and conversion rates.

3. Content Analysis: Helps to evaluate the type, quality, and consistency of an influencer’s content, which provides insight into their authenticity and reliability.

4. Campaign Performance: After launching a campaign, agencies can monitor real-time KPIs such as website traffic, brand mentions, sales, downloads, click-through rates, etc.

Different influencer marketing platforms offer various tools to gather and analyze these types of data. While some concentrate on one aspect, others provide an all-round service.

For instance, Flinque, offers a comprehensive blend of these features, with robust audience analysis, content analysis, engagement tracking, and campaign performance monitoring. However, the right tool for a specific scenario will depend on the specific needs of the agency.

Remember, a platform’s strength isn’t wholly determined by the breadth of its features, but by how well those features can meet your specific requirements. Therefore, it’s important to understand what data and analytics are most helpful for your influencer marketing strategies, and use those criteria to aid your platform selection.