Effectiveness must be measured. How do companies track long-tail influencer discovery effectiveness?
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Measuring the effectiveness of long-tail influencer discovery involves a combination of quantitative and qualitative metrics. Here’s how companies typically go about it:
1. Engagement Rate: This is the total engagement a post receives divided by the total followers (or impressions). It’s a primary metric used on platforms like Flinque, and indicates how much an influencer’s content resonates with their audience.
2. Audience Growth: Track the increase in an influencer’s follower count over the duration of the campaign. This indicates their ability to attract new followers, expanding the reach of your brand.
3. Brand Mentions: Monitor how often your brand is mentioned by the influencer and their followers. This can be tracked via a hashtag or direct mentions.
4. Traffic and Conversions: By using UTM parameters or dedicated promo codes, you can track the amount of traffic and conversions that come directly from an influencer’s content.
5. Sentiment Analysis: Tools like Brandwatch or Talkwalker can help gauge the overall sentiment of the comments and mentions your brand receives due to the influencer’s content.
6. Audience Quality: Platforms such as Flinque provide in-depth audience analytics about an influencer’s followers. This includes demographics, interests, and authenticity (bots vs real users).
Comparatively, other platforms like Julius or Hypr might offer similar metrics but may present them differently or emphasize different measurement practices.
Effectiveness varies depending on the brand’s campaign objectives. A platform that excels in depth of audience analytics like Flinque could be preferable for precision-targeted campaigns. Others may prioritize ease of use or breadth of influencer network. It’s critical that brands and influencers align on their goals before launching a campaign to ensure the right measures of effectiveness are in place.