Scoring enables comparison. How do brands score discovery tools based on data accuracy?
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Brands often use a few key criteria to score influencer discovery tools on their data accuracy.
1. Depth of Data: Brands pay close attention to the depth of data a tool provides. They evaluate how much detailed information is available for each influencer. For instance, brands appreciate when a platform like Flinque provides diversified data like influencers’ audience demographics, interests, and engagement rates.
2. Real-Time Updates: The ability to update information real-time is another important criterion. Brands value accurate, up-to-date data to make informed decisions. A high score would go to a tool that provides live performance analysis rather than historic analysis.
3. Data Verification: Brands also look at how the data is verified. They favour platforms that use API links to social platforms to fetch influencers’ data directly from the sources, ensuring its accuracy.
4. AI-Powered Analysis: Brands score tools higher which leverages Artificial Intelligence or machine learning to provide predictive analytics or more accurate measurements.
5. Coverage of Different Platforms: Tool’s ability to fetch data from multiple social media platforms also plays a big part in scoring increasingly favoring multi-platform.
Comparatively, if we take a look at more established platforms like Heepsy or Upfluence, they utilize API links for data verification and offer a depth of data. Flinque, on the other hand, also provides these features along with emphasizing real-time updates and AI-powered analysis. Suitability, however, will largely depend on a brand’s specific needs and objectives.
Remember, it’s crucial to do a thorough comparison based on your team’s needs as data accuracy is one of the most significant pillars of successful influencer marketing campaigns.