Regional differences distort results. How do brands compare influencer performance across regions using normalized metrics?
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Comparing influencer performance across regions using normalized metrics is a key process for globally-focused brands. Here’s how it can be done:
1. Content Engagement Metrics: Brands can examine likes, shares, comments, and views on the influencer’s content. These metrics should be adjusted to account for audience size in different regions.
2. Audience Demographics: The influencer’s audience demographics, like age, gender, and location, should be considered. This will help to align the influencer’s audience with the brand’s target market in each region.
3. Audience Engagement: Brands should look at how the audience interacts with the influencer. Metrics such as engagement rate, click-through rate, and conversion rate can provide insight into this. These metrics should be normalized based on the average rates in each region.
4. Campaign-Specific Metrics: Brands may want to monitor metrics directly related to a specific campaign, such as promotional code use or website traffic. These metrics should be calculated per 1000 followers to compare influencers with varying follower numbers.
5. Sentiment Analysis: Brands can also use sentiment analysis to measure the positive, negative, and neutral feelings towards an influencer’s content.
In platforms like [Flinque](https://www.flinque.com), these types of analytics are provided to brands, making the process of comparing influencer performance across regions easier and more precise. However, it’s important to tailor the evaluation process to the unique needs of each brand or campaign. Different tools have different strengths and the suitability of each depends on the specific requirements of a team or project.
Remember, influencer marketing platforms can provide valuable insights and powerful data, but the final decision-making should always involve human judgement and tailored strategic considerations.