Automating Influencer Selection with AI | Reducing Recruitment Man-Hours by up to 70% [WoomyCasting]

Woomy Co., Ltd., which operates "woomy casting", an influencer casting service where initial costs, monthly fees, and influencer reward commissions are "free", will start providing a new feature that dramatically streamlines the recruitment process for client companies. This feature is a system that automatically determines and suggests "who to hire to achieve the highest effectiveness" by exporting applicant information and having AI read it. This feature aims to solve issues such as "not knowing how to choose an influencer", "taking too much time to recruit", and "fluctuating recruitment standards".

**[Background of Development]**

In influencer marketing, the "recruitment process" of identifying the optimal talent that matches a company's brand is the most important and burdensome process for those in charge. In particular, "woomy casting" has an extremely rich set of confirmation items on the recruitment screen to achieve high matching accuracy. Also, depending on the project, there may be over 300 applicants. While this is a strength of the service, for those in charge who are tackling influencer recruitment for the first time, the hurdle of selecting the optimal talent from diverse data is high, causing the issue of mounting confirmation man-hours.

**[Overview and Benefits of the New Feature]**

With this new feature, client companies can enjoy the following benefits.

**1. "De-personalization" with High-Precision Recruitment Determination by AI**

Simply by uploading the data of applying influencers and product information to the AI (Artificial Intelligence), the AI picks up the candidates with the highest cost-effectiveness. It is no longer necessary for humans to visually analyze all the rich confirmation items, making it possible even for inexperienced personnel to make optimal recruitments without hesitation at a "professional quality".

**＊Influencer Data** 1. Application Information Data Applicant information for each influencer. It primarily stores data such as the number of posts, Reel designation, face showing, secondary use permission, post rewards, etc. 2. Past Participation History History data of projects they were hired for in the past. Evaluations per client and histories and reasons for declining projects can be checked. 3. Insight Data Gender ratio, age groups, country ratio, active rate, engagement rate, average reach number of followers, etc. 4. Past 1 Year's Post Data Captions, reach numbers, IMP numbers, likes, saves, and comments for feed posts (including Reels) for the past 1 year, and captions, reach numbers, and IMP numbers data for Stories posts. 5. Past 1 Year's Reward Data Desired reward amount data and desired date/time data when applying for projects.

*The data read by the AI is appropriately protected based on the privacy policy.

**2. Powerful Linkage of "AI Project Creation" and "AI Recruitment Determination"**

In addition to the already provided "AI Project Creation Feature", the addition of this "AI Recruitment Determination" strongly supports a series of flows from recruitment preparation to hiring decision by AI. With this, even beginners in influencer marketing can operate at professional quality speedily and without hesitation.

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