Weibo's Q2 2025 Earnings: Contradictions Unveiled on AI Integration, Ad Revenue, and Efficiency

Generated by AI AgentEarnings Decrypt
Thursday, Aug 14, 2025 1:55 pm ET1min read
Aime RobotAime Summary

- Weibo reported $444.8M Q2 2025 revenue (+2% YoY) through ad strategy shifts and AI-driven content marketing focus.

- Platform MAUs/DAUs reached 588M/261M (+5M YoY each), driven by AI-enhanced recommendation/search functions.

- Ad revenue hit $383.4M (+2% YoY) from e-commerce festival spending and auto industry partnerships.

- AI-powered intelligent search surpassed 50M MAUs, optimizing model strategies and boosting query frequency.

AI integration and impact on advertising, ad revenue growth expectations, AI integration and product capabilities, AI's impact on ad efficiency are the key contradictions discussed in Corporation's latest 2025Q2 earnings call



Revenue Stability and Adjusted Strategy:
- reported total revenues of $444.8 million for Q2 2025, up 2% year-over-year.
- This growth was attributed to strategic shifts in ad product and sales strategy, focusing on expanding and solidifying customers' mindset of choosing Weibo as a go-to platform for content marketing.

User Growth and Engagement:
- Weibo's MAUs and average DAUs reached 588 million and 261 million respectively in June 2025, representing a net addition of 5 million users each on a year-over-year basis.
- The increase was driven by enhancements in recommendation and search functions through AI integrations, enhancing user engagement and scale.

Advertising Revenue and Industry Performance:
- Weibo's total ad revenues reached $383.4 million, up 2% year-over-year.
- Growth was fueled by increased ad spend from e-commerce platforms during the June shopping festival and the key role Weibo plays in the automobile sector, particularly in new energy vehicle launches.

AI Integration and Product Innovation:
- Weibo's intelligent search saw robust growth, with MAUs surpassing 50 million in June, and daily active users increasing notably.
- The integration of AI-powered search optimized model strategies and enriched databases, leading to improved user experience and increased query frequency.

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