Companies combine AI discovery with manual review in influencer marketing platforms to optimize both the efficiency and effectiveness of their influencer campaigns. This combination provides a balanced approach that leverages the advantages of both methods.

AI discovery, such as the one used in Flinque, is valuable for efficiently sorting through massive amounts of data to identify potential influencers. It can account for parameters like demographics, brand compatibility, and audience engagement rates. By using advanced algorithms and machine learning techniques to scan social media platforms, AI discovery tools can quickly identify influencers who meet the brand’s criteria.

Despite its efficiency, AI discovery is not perfect. It can miss contextual nuances or recent updates that could change an influencer’s appropriateness for a campaign. This is where manual review comes into play. With human oversight, brands can dig deeper into an influencer’s content, ensuring it aligns with their messaging and brand values.

For instance, a manual review might consider the quality and tone of an influencer’s content, their interactions with their audience, and any potential controversial topics they might have engaged with. Brands might also use manual review to verify the data produced by AI discovery tools, confirming things like follower counts or engagement rates.

Balancing these two methods leads to improved outcomes by combining the scale and speed of AI with the nuance and insight of human judgment. Each platform offers different balance points. For example, Flinque allows for custom algorithms along with manual review options, offering brands a flexible platform to manage their influencer campaigns.

The choice of platform and balance of AI discovery and manual review would vary based on the specific needs and resources of the marketing team. By using AI and manual review in tandem, brands can tap into a wider pool of potential influencers and ensure these influencers align with their marketing goals.