成功案例

Using AWS to improve operational efficiency, KOL Radar helps advertisers upgrade their "social media data capabilities”

KOL Radar, the largest KOL AI searching platform, includes 120,000+ KOL lists
KOL Radar, the largest KOL AI searching platform, includes 120,000+ KOL lists

In the new media era, advertisers often find Internet celebrities or “key opinion leaders” (KOL) as their important channels for marketing. But how many Internet celebrities are there, and how does one effectively master the exposure and traffic benefits brought by Internet celebrities? How can we maintain a social media reputation over the long term? KOL Radar was born to solve precisely this problem.

It has collected lists of more than 120,000 Internet celebrities
“KOL Radar” is the largest AI Internet celebrity search platform in Taiwan, containing lists of more than 120,000 Internet celebrities and over one hundred million entries of public social media data from Facebook, YouTube, Instagram, and TikTok. KOL Radar uses AI computing to provide advertisers with the most complete and precise Internet celebrity matching suggestions, allowing advertisers to maximize the effectiveness of Internet celebrity marketing.

A real-time social media data crawler tests the platform stability and computing performance
To operate such a platform, it is necessary to obtain the most real-time social media data and complete calculations and provide analysis results in a short time, so that customers can more accurately determine the effectiveness of Internet celebrity marketing. In addition to a robust database and management tools, a stable and easy-to-manage crawler system is also required to maintain the massive amount of data.

Finn, the product manager at KOL Radar, says that the original crawler system was limited by the existing infrastructure, their system architecture could not easily show whether each link was successful, and finding the cause of the problem from known clues was difficult. All of this meant that the product team often spend a lot of time finding and troubleshooting problems; it also increased their burden of maintenance.

The team actively sought solutions in different clouds. After considering system architecture and human resources, they settled on Amazon Web Service (AWS). In addition to meeting the needs of a large number of computing operations, AWS native SaaS (Software as a Service) also supports process visualization service, a much-needed service for KOL Radar.

AWS diversified solutions effectively solves system bottlenecks
Finn gives the crawler system as an example: The team uses Amazon Simple Queue Service (SQS), with AWS SQS as the entry point for all scheduling tasks, to manage all crawler tasks, and uses the serverless computing service AWS Lambda to execute one crawler task after another to maximize and control the concurrency of tasks simultaneously. Finally, they use AWS Step Functions to visualize the workflow service to sort out each crawler step from the messy log file and display it in a visual flow chart to provide product team follow-up tracking and adjustment. In this way, not only can the bottleneck in the crawler system be effectively solved, the maintenance manpower saved in the process can also be invested in product development and optimization.

iKala Cloud technical support makes importing AWS easier
In the process of importing AWS, it is AWS partner iKala Cloud that plays a key role. iKala Cloud has many years of experience in cloud AI technology and is committed to assisting enterprises in creating cloud and digital transformation solutions. At the early stages of introduction, iKala Cloud assisted KOL Radar in planning its cloud architecture. The technical teams of both parties also conducted multiple requirement interviews to help KOL Radar overcome data aggregation and transfer problems across systems and devices. Finn explains that iKala Cloud technical consultants helped KOL Radar engineers to become familiar with AWS products faster, and also made the migration process of the crawler system easier and more efficient.

Future Outlook: Social media data is more real-time and analysis is more precise, improving advertisers’ effectiveness
This migration of functionality not only makes internal maintenance operations smoother, but also allows advertisers who use KOL Radar to obtain more accurate and real-time social data, accelerating their marketing decisions. In addition, because of the diversified services of AWS, the team is eager to try many of its functional modules in expectation that various cloud solutions can effectively promote product development and optimization.

KOL Radar, an Internet celebrity radar under iKala, provides top-level AI digital Internet celebrity marketing services. The exclusive AI Internet celebrity data database includes lists of 120,000 multinational Internet celebrities, as well as over 100 million public social media data entries from Facebook, YouTube, Instagram, and TikTok. Achieve optimized Internet celebrity recommendations through AI technology, and use data to create precise and effective Internet celebrity marketing.

Company Introduction

KOL Radar, an Internet celebrity radar under iKala, provides top-level AI digital Internet celebrity marketing services. The exclusive AI Internet celebrity data database includes lists of 120,000 multinational Internet celebrities, as well as over 100 million public social media data entries from Facebook, YouTube, Instagram, and TikTok. Achieve optimized Internet celebrity recommendations through AI technology, and use data to create precise and effective Internet celebrity marketing.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

More Cases

Scroll to Top
This site is registered on wpml.org as a development site.