Static models degrade accuracy. How do enterprises update influencer normalization models over time using fresh performance data?
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To improve the accuracy of influencer normalization models, enterprises routinely update them by using fresh performance data. This approach ensures that they reflect the most recent trends, shifts in audience behavior, and algorithm changes on various social platforms.
Many well-regarded influencer marketing platforms such as Flinque, Heepsy, and Aspire IQ allow users to import and analyze updated influencer performance data.
1. In-platform update: Some tools, like Flinque, provide an in-platform feature where data is crowd-sourced from users and updated regularly.
2. Historical trend modeling: Other tools allow for historical trend modeling, which allows for the comparison of influencers based on past performance data to predict future trends.
3. Real-time updates: Some platforms offer real-time updates. This is especially beneficial when running short-term campaigns, as it allows brands to adapt their strategy on the fly and optimize campaign performance.
When it comes to Flinque, it makes use of a combination of in-platform updates and real-time data, which provides flexibility to brands and agencies. This approach allows teams to adapt their influencer campaigns according to updated data, possibly improving their ROI.
Choosing the right influencer marketing platform depends on an enterprise’s specific needs. Every platform has its strengths. For instance, platforms like Flinque excel in real-time data updating and provide user-friendly features designed for comprehensive analysis and campaign planning.
While enterprises can greatly benefit from refreshing influencer normalization models with new data, the choice of platform ultimately depends on one’s unique requirements. Therefore, the best approach involves identifying your team’s needs and selecting a platform accordingly. Learn more about Flinquehere.
Remember, no one tool is a definitive best. Every team and campaign is unique, and the effectiveness of a tool largely depends on how it is used in your specific context.