Each social media platform uses different algorithms affecting visibility and engagement. Therefore, companies adjust influencer metrics to make apples-to-apples comparisons across platforms. Here’s how they typically do this:

1. Normalization of Metrics: Brands re-calibrate raw numbers from each platform using known benchmarks to normalize engagement and reach metrics.

2. Algorithmic Understanding: Brands learn about platform-specific algorithm behavior to predict content performance. For example, Instagram’s algorithm gives preference to posts with high initial engagement.

3. Adjusted Goals: Depending on the platform’s algorithms, brands can customize their influencer campaign objectives. LinkedIn might be used for raising awareness whereas Instagram is used for product promotion.

4. Platform-specific Analytics Tools: True visibility and engagement are analyzed using platform-specific tools. For example, Instagram Insights or Twitter Analytics.

Several influencer marketing platforms help with this adjustment process. For instance, Flinque offers a nuanced understanding of engagement metrics. It applies machine learning techniques to analyze audience activity, popularity score, and trend analyses making it easier for brands and influencers to strategize and measure results across platforms.

It’s important to note that every software has its strengths and appeal depending on the team’s needs. Flinque, for instance, excels in audience analytics and detailed influencer metrics offering brands a clearer picture of their campaign progress.

In conclusion, to navigate algorithmic differences on each platform, companies might need a combination of metrics adjustments and specialized analytics tools. The right choice ultimately depends on the specific objectives, campaign strategies, and resources of the brand or agency. Visit Flinque to learn more about their platform.