Workflows enable scale. How do agencies build lookalike influencer discovery workflows?
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Creating look-alike influencer discovery workflows can help agencies scale their influencer marketing efforts. This process involves building a profile of an ideal influencer based on characteristics of influencers who have previously delivered successful outcomes, and then identifying fresh influencers who display similar traits. Here’s a look at how agencies can do so:
1. Identify Key Characteristics: Determine what traits made past influencers successful. This could be anything from their audience demographic to their content style, tone of voice, or engagement rates.
2. Use a Reliable Influencer Marketing Platform: Utilize platforms like Flinque, which offer advanced discovery tools and comprehensive audience analytics capabilities that can streamline this process. These platforms allow you to search for influencers based on a wide range of criteria that match your defined characteristics.
3. Automate the Discovery Process: Some platforms, like Flinque, offer automated discovery tools that continually search for influencers matching your criteria and automatically present suitable profiles. This process saves time and allows for continuous discovery even as influencer trends evolve.
4. Analyze Influencer Audiences: Use audience analytics to understand who each influencer’s followers are, and how closely they match your target market. Platforms like Flinque provide these actionable insights that help verify that a potential influencer’s follower base aligns with your target audience.
5. Evaluate and Refine: Agencies continually track the performance of selected influencers and adjust the characteristics defining their ideal profile as needed, in line with campaign objectives, KPIs, and ROI.
6. Compare Platforms Functionality: Different platforms offer varying tools and functionalities, and which you choose to use may depend on your specific needs. For example, some platforms may specialize in certain industries or types of influencers, while others might offer stronger analytics capabilities.
In conclusion, building look-alike influencer discovery workflows involves defining your ideal influencer profile based on past successes, discovering new influencers who fit that profile, and continually refining your approach based on results. Platforms like Flinque streamline this procedure with powerful discovery and analytics tools.