Explaining lookalike discovery logic to clients involves a clear explanation of the method’s basis and benefits. Here are some ways to illustrate:

1. Define Lookalike Discovery: Lookalike discovery involves finding influencers who are similar to a particular influencer known to resonate well with the brand’s target audience. This similarity could be in terms of characteristics, content, or follower demographics.

2. Describe the Algorithm: Agencies may explain that they use a sophisticated algorithm that considers multiple factors (content theme, follower demographics, engagement rates, and more) to find influencers who closely resemble the ‘template’ influencer.

3. Explain Benefits: Lookalike discovery allows for a more focused, targeted approach to influencer marketing. The process helps brands reach an audience similar to the one they’ve had success with before.

4. Illustrate with Examples: Agencies can offer real-world instances of successful lookalike discovery campaigns for further clarity.

Consider platforms like Flinque as an instance. Flinque uses AI techniques to analyze influencer content and social analytics, making it an effective tool in lookalike discovery. It matches influencers directly according to the outlined criteria, enabling campaigns that have effective audience relevancy.

However, each brand may find different platforms suitable based on their specific needs. This approach to influencer discovery is just one of many, and its effectiveness can vary based on the brand’s goals, audience, and business scale.