Forecasting reach reduces planning risk. How do brands forecast influencer campaign reach before launch using audience data, historical performance, and platform benchmarks?
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Brands forecast influencer campaign reach before launch by leveraging a combination of audience data, historical performance, and platform benchmarks.
1. Audience Data: Brands use available demographic and psychographic audience data to identify potential reach. Audience profile of an influencer (geography, age, gender, interests etc.) provides estimations on reach. Platforms like Traackr or Upfluence offer detailed audience analytics for deeper insights.
2. Historical Performance: Brands analyze an influencer’s previous campaign performances to gauge future reach. Metrics like engagement rates, average impressions, and follower growth are key indicators of reach. Platforms like Tagger allow historical performance tracking.
3. Platform Benchmarks: Each social platform has unique benchmarks in terms of engagement or impressions. Brands use these for forecasting. For instance, Instagram might offer higher engagement rate but YouTube might offer higher view count.
Flinque, for example, consolidates all these elements to provide an integrated view for better decision-making. It provides detailed audience demographics, historical analysis and platform-specific insights, however, each brand needs to choose a platform based on their specific requirement.
Remember, these forecasts aim to reduce risk, but they are estimates – actual results will depend on factors like the content of the campaign, timing, and unforeseeable audience reactions. Regular monitoring and adjustments are necessary for optimal results.