Dable Reports Profit, Expands DSP Solution
Seoul, South Korea—Dable announced Wednesday that it has achieved profitability and is expanding its business with a new app-focused advertising solution.
Dable reported KRW 32.7 billion (US$22.2 million) in revenue and KRW 1.8 billion (US$1.2 million) in operating profit for fiscal year 2024 on a K-IFRS consolidated basis, marking its first year of profitability after reducing its deficit by more than 30% in 2023.
The company recorded an adjusted EBITDA of KRW 2.7 billion (US$1.8 million) in 2024.
The firm is now focusing on growth through "wheres.ai," an app Demand Side Platform (DSP) solution that combines the company's AI technology with first-party customer data.
The platform was jointly developed with travel company Yanolja and initially deployed in the travel sector.
The wheres.ai solution employs machine learning-based prediction models through an "AI targeting engine" and "bidding engine" developed over approximately one year.
According to the company, these technologies identify users with high purchase conversion potential to drive efficient app traffic.
After validating Yanolja's global travel data, Dable expanded the solution to commerce applications.
The company reports that pilot tests with major clients demonstrated higher return on advertising spend than competing DSPs.
Dable's native advertising business continues to show stable growth across Asian markets, including South Korea, Taiwan, and Vietnam.
The company attributes this performance to deep learning-based prediction models trained on contextual data.
"We have established a foundation for sustainable growth through our leadership in the native advertising market and the stable establishment of our DSP business," said Chaehyun Lee, CEO of Dable.
Founded in 2015, Dable provides personalized content recommendations and native advertising platforms to over 3,000 media companies across 11 countries.
The company plans to strengthen its travel and leisure DSP position while expanding into commerce and gaming verticals.