iKala KOL Radar Surpasses 2 Million Global Influencers with AI Data Analytics Uplift to Meet Cross-Border Influencer Marketing Demand
Empowering influencer search and analytics with AI technology, KOL Radar accelerates influencer marketing with its product upgrade "2 Million global Influencer Database," "AI Influencer Analytics," and "Real-time Influencer Data Analytics."
iKala, a leading AI transformation solutions provider from Taiwan, announced the expansion of its AI influencer data marketing platform, KOL Radar, in response to the continuous surge in cross-border influencer marketing demand. KOL Radar will add over 1 million influencer profiles from the Japanese and Southeast Asian markets, officially encompassing more than 2 million cross-border and cross-platform influencer profiles by November 30. Utilizing nearly 1 billion AI analytics results, KOL Radar facilitates enterprises' acceleration in customer acquisition with precise insights into influencer and social data. Furthermore, iKala has also introduced more real-time influencer data analytics capabilities, continuously assisting brands in gaining immediate insights for effective influencer marketing, further facilitating cross-border business to Japan and Southeast Asia.
Enhancing Influencer Marketing with KOL Radar's Three Leading Upgrades
According to Juniper Research, the cross-border e-commerce market is projected to grow to $3.3 trillion by 2028, marking a 107% increase from $1.6 trillion in 2023 and becoming a key driver of the global e-commerce market. Concurrently, with the flourishing social media landscape, the Southeast Asia influencer marketing market is experiencing rapid growth. According to Statista, the Influencer Advertising market in Southeast Asia is expected to hit US$603 million in ad spending by 2023, with an annual growth rate of 12.80%, projecting a market volume of US$977 million by 2027. In response to market demand, iKala today announced that KOL Radar's cross-border influencer database will encompass over 2 million influencers from various markets such as Taiwan, Japan, Hong Kong, Singapore, Malaysia, Thailand, and Vietnam by November 30. This expansion includes a significant addition of 1 million profiles, marking the first inclusion of influencers from Vietnam, Thailand, and Singapore, in addition to Japanese influencers. Future plans involve expanding data for Indonesia and the Philippines, assisting brand owners in capturing the influencer marketing opportunities in Southeast Asia.
In the past, brand owners and marketing planners faced difficulties in precisely and promptly finding influencers, evaluating collaboration effectiveness, and more. To address these pain points, KOL Radar introduced the industry-leading "Real-time Influencer Data Analytics," utilizing its unique AI and data analytics technology to track and analyze billions of social community data by automatically tracking, updating, and analyzing data on active influencers. Recently, KOL Radar launched the industry-leading "AI Influencer Analytics" plugin in Taiwan, assisting brand owners in quickly accessing influencer data analytics while browsing social media platforms. This includes indicators such as engagement rates, audience, and Sponsored post detection, providing comprehensive influencer social data insights for Instagram, Facebook, YouTube, TikTok, and Twitter.
Unveiling a Variety of Feature Updates, Empowering Influencer Marketing "Pre-Evaluation" and "Prediction"
KOL Radar also introduced a variety of feature updates, further elevating the "pre-evaluation" and "prediction" processes in influencer marketing. Among these updates is the "Mentioned Brands" feature, which displays the brands mentioned by an influencer in the recent past and the frequency of these mentions, helping brand owners gain a better understanding of the types of brands influencers collaborate with and evaluate the effectiveness of such collaborations. Along with the "Influencer Pricing Estimate" launched today, it will help assess collaboration budgets through various indicators and analytics, further strengthening a more comprehensive influencer marketing pre-evaluation. KOL Radar also utilizes an exclusive AI-developed potential influencer prediction model, which predicts the growth potential of influencers eight weeks in the future based on data from the previous six weeks, helping brands identify influencers with high fan growth potential.
To assist brand owners in gaining deeper insights into social trends, KOL Radar has introduced the "Top 100 Social Account Rankings," which ranks influencer social volume, engagement rates, and viewing rates on social media, allowing brand owners to identify the most trending influencers on social media. It also displays the trending hashtags within a specific period, assisting brand owners in further understanding current social trends.
iKala's Co-founder and CEO, Sega Cheng, stated, "In response to the marketing demands of Taiwanese and Japanese enterprises in the Southeast Asian market and immense potential in the Southeast Asian influencer marketing sector, iKala is accelerating the development of the world's largest influencer search and analytics platform. We are committed to providing comprehensive support for businesses to acquire customers through AI-driven influencer marketing. iKala's exclusive AI technology empowers us to offer real-time and highly accurate AI influencer marketing services through KOL Radar. Our goal is to become the industry benchmark for influencer marketing, contributing to the organization of global influencer information using AI. "