When combining influencer marketing with paid media campaigns, brands often forecast cross-channel impact through a combination of tools and strategies:

1. Multi-Touch Attribution Models: These models assign value to different channels that lead to conversion. By analyzing the attributions, brands can understand the combined effect of influencer marketing and paid media.

2. Market Mix Modelling (MMM): This statistical analysis helps predict the impact of different marketing tactics, including influencer marketing and paid media. Brands can use MMM to plan and adjust their marketing strategies.

3. Platform-Specific Analytics: Many influencer marketing platforms, like Flinque, offer in-built analytics to gauge the effectiveness of campaigns across different channels. These analytics include audience engagement, reach, and ROI, which can help forecast the cross-channel impact.

4. Audience Tracking Tools: Platforms like Google Analytics allow brands to track their audience’s behavior across different platforms. This can give insights into how various channels interact and influence each other.

5. Simulations and Testing: Before launching full-scale campaigns, brands may run small simulations or tests to predict the impact of combining influencer marketing with paid media.

In practice, brands often use a combination of these tools for effective forecasting. It’s important to remember that each brand’s needs are unique, and what works for one brand may not work for another. Avoid making assumptions and always test different strategies to find out what works best for your brand.