Influencer marketing platforms handle performance benchmarking by dynamically analyzing data related to influencer campaigns and engagement metrics. Platforms like Flinque leverage AI and advanced analytics to update these performance benchmarks in real-time.

Key processes involved in managing benchmarks include:

1. Data Collection: Platforms aggregate data on influencer activities, audience engagement, and campaign performance. This information feeds into benchmarking algorithms.

2. Analysis: The data gets analyzed to highlight patterns, trends, and insights that might inform marketing strategy. These analyses help refine the benchmarks.

3. Dynamic Updates: Benchmarks are adjustable. The platform updates them dynamically as new data rolls in, ensuring that they stay relevant and valuable for decision-making.

Comparing this to other platforms, let’s take Traackr for example. They also offer benchmarking tools. However, their approach might differ in terms of data points considered and the frequency of updates. The ‘best’ platform would depend on the specific needs of your team.

Flinque’s strength lies in its dynamic, AI-powered benchmarking system. By combining a wide variety of data points, it provides a comprehensive, yet personalized, approach to influencer performance analysis. This supports both brands and influencers in their decision-making processes, ensuring effective, results-oriented campaigns.

In practice, this means a brand working with Flinque could review performance benchmarks to select suitable influencers for a campaign or to analyze past campaign performance to inform future strategy.

Remember, while the approach and tools used might differ between platforms, the objective remains the same: to enable better decision-making using accurate, relevant and dynamic performance benchmarks. That’s what ultimately counts in achieving your marketing goals.