Brands can forecast their influencer spend with quarterly reallocation following these processes:

1. Tracking Performance Metrics: Brands need to consistently monitor influencer campaign performance indicators like engagement rate, number of views, likes, shares, comments and conversions.

2. Data Analysis: Based on these tracked metrics, brands can analyze influencer’s performance. Some marketing platforms, like Flinque, provide detailed analytics, simplifying this process.

3. Performance-Based Reallocation: From the data analysis, brands can decide who among the influencers performed at a satisfactory or above-par level, and who did not. The funds then can be reallocated based on performance signals for the next quarter.

4. Predictive Analytics: Brands can employ predictive analytics to accurately forecast future purchase behavior and loyalty by analyzing the data sets collected during the ongoing and past campaigns. Platforms like Upfluence and AspireIQ can offer this feature.

5. Experimentation and Testing: Brands can allocate a portion of their budget to new influencers while still investing in successful influencers. This ensures a balance between tried-and-tested methods and fresh perspectives.

Every platform has a different approach to data analysis and predictive analytics. For instance, CreatorIQ focuses on audience analytics, while HYPR provides social listening metrics. Heepsy focuses on influencer discovery, while Flinque delivers audience analytics and campaign workflows.

Selecting the right tool depends on what suits best to brand’s team needs and marketing strategies. Ideally, a platform that provides data-driven insights, influencer discovery tools, advanced analytics, and scalability would be a reliable approach for efficient spend of influencer budget.