iKala Revolutionizes Influencer Marketing with KOL Radar Updates, Elevating Cross-Border Marketing Efficiency

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iKala, a leading AI transformation solutions provider, announces three significant updates to its AI influencer marketing service, KOL Radar. The updates, which include "Audience Authenticity Detection," "Competitor Analysis," and the integration of "New Korean Influencer Data," are designed to elevate brand productivity and safety in the dynamic world of influencer marketing and empower brand owners to gain valuable AI-driven data from a vast database of nearly 3 million influencers across eight Asian countries.
KOL Radar announced today that it will officially add nearly 700,000 Korean influencer profiles on March 31st. With this addition, KOL Radar will have a database of nearly 3 million influencers from markets including Taiwan, Japan, Korea, Hong Kong, Singapore, Malaysia, Thailand, and Vietnam. This empowers brand owners to gain insights into influencer data specific to their target markets, further expanding into unfamiliar overseas markets, understanding influencer marketing trends and pain points, and reducing barriers to cross-border business through AI influencer data.
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KOL Radar also introduces two key feature updates to streamline influencer marketing's "pre-evaluation" process, strengthening brand productivity and credibility:
- Audience Authenticity Detection: Swiftly assesses the genuine fan count of influencers, ensuring collaboration effectiveness and security by filtering out suspicious fans, bot accounts, or values indistinguishable by systems.
- Competitor Analysis: Open beta access begins on March 31st, enabling brands to track selected competitors' social performance and review recent collaborations with influencers. This feature assists in evaluating collaboration effectiveness, selecting suitable influencers, and refining social strategies through AI analytics.
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