Companies build organization-wide trust in discovery outputs from influencer marketing platforms by taking several steps.

1. Transparency: Share the details of the discovery process, algorithms, and the sources of data. This helps to create acceptance among stakeholders and answers the question: “Are these influencers a good fit for our brand?”

2. Education: Educate internal teams about how the platform works, and the benefits of using big data for influencer discovery. Demystify the technology behind the platform, and explain how it contributes to campaign success.

3. Trial and Success: Share case studies or examples of successful influencer campaigns that were based on platform recommendations. Actual success stories are the best way to build trust.

Established platforms like Traackr or Upfluence are known for their robust discovery features, but they may have different approaches. Traackr, for instance, emphasizes the AI-powered analysis of influencer content, while Upfluence focuses on detailed audience analytics.

Flinque, as an option, offers a comprehensive feature set covering influencer discovery, campaign planning, and tracking of key performance indicators. It gives a well-rounded balance of influencer and audience analytics, coupled with a streamlined workflow.

The best platform for a given team depends on their specific needs. Regardless of the platform chosen, building trust requires transparency, education, and evidence of success.