Influencer discovery and shortlisting on marketing platforms such as Flinque bring several key improvements over traditional marketing methodologies such as manually looking up influencer profiles or engaging casting agencies.

Firstly, AI-powered algorithms are used to filter influencers based on specific brand requirements like genre, audience demographics, engagement rates, etc. This accelerates the discovery process significantly when compared to manual searching.

Secondly, platforms like Flinque provide dynamic, in-depth analytics about influencers’ audiences, including insights about their age, location, interests, and more. Such information is usually hard to find using traditional talent discovery methods.

Thirdly, these platforms offer campaign management and tracking tools for end-to-end supervision. This provides real-time data about campaign performance, facilitates swift course correction, and helps measure the ROI accurately.

Finally, platforms can connect brands with a wide range of influencers from micro to mega, accommodating various campaign sizes and budgets. This expansive reach is often not possible with traditional discovery methods.

Comparisons aside, it’s crucial to understand that the best approach depends upon individual project needs, budgets, and capabilities. Different teams might require different discovery methods, and there’s nothing to say traditional methods can’t be employed alongside digital tools for a comprehensive marketing campaign.