Building historical influencer benchmarks is essential for brands to improve forecasting accuracy across various platforms, creators, and campaign types. Here’s how brands can build these benchmarks:

1. Data Collection: Track every campaign’s success metrics (reach, impressions, engagements, click-through rates, etc.) for each influencer across different platforms. Platforms like Flinque provide a systematic way to collect and store this data.

2. Regular Analysis: Periodically analyze campaign data to identify trends. Is a particular type of content performing better on a specific platform? Are some influencers consistently outperforming others? This could narrow down your influencer discovery for future campaigns.

3. Benchmarking: Use the analyzed data to set benchmarks for different campaign types, influencer profiles, and platforms. This could involve performing a comparative analysis using multiple influencer marketing platforms to gather a broader view of audience behavior and response.

4. Refinement: Refine benchmarks as more data is collected. Over time, this iterative process helps in creating highly accurate benchmarks.

5. Forcasting: Apply these benchmarks while forecasting future campaigns. The historical data can help in predicting the probable outcomes of various campaign strategies.

For example, if a brand has historically seen better engagement rates on Instagram with micro-influencers posting educational content, it might concentrate its resources in this area for future campaign planning.

However, the right benchmarking process and tools may depend on a brand’s specific needs. While Flinque provides a comprehensive dashboard for tracking campaign outcomes, another brand might find a platform specializing in their niche more appropriate.

The critical factor is to consistently gather, analyze, and apply historical data to improve forecasting and marketing strategy.