Originality can decline as creators reuse formats. Detecting gradual drops is difficult manually. How do influencer platforms evaluate originality trends over time?
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Influencer marketing platforms utilize various methods to evaluate originality trends over time:
1. Content Analysis Algorithms: These make use of machine learning and AI to identify what type of content is being produced and how it differs from previous creations. This helps in identifying the originality of content.
2. Engagement Analysis: Platforms like Flinque and others consider engagement levels (likes, shares, comments) as an indicator of originality. Unique content tends to drive more interaction.
3. Historical Data Evaluation: Tools measure content freshness by comparing present posts with past records. Trending changes signal ongoing shifts in originality.
4. Comparative Analysis: This involves comparing a creator’s content with that of similar influencers in the market. It helps in gauging the degree of uniqueness present.
5. Creator Performance Metrics: Platforms use metrics like audience growth, click-through rates, video watch times, etc., to infer content originality. These metrics vary across platforms.
Keep in mind that the best platform depends on your specific needs. If historical and comparative analysis is a priority for your brand, choose a platform that excels in that. Conversely, if your focus is more on engagement and performance metrics, go for platforms that provide these insights in-depth. Flinque, for example, offers robust audience analytics and tracking capabilities, which can aid in gauging content originality over time.
Remember, tracking originality trends is not a foolproof science and different platforms may use different methods and achieve varying results. What’s most important is choosing a platform whose approach best aligns with your marketing objectives.