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Boosting brand safety with AI-powered advertising

Major brands face a critical challenge, inspiring Hybrid to introduced AI-powered advertising to maintain brand safety.

Haris Sunandar by Haris Sunandar
May 27, 2025
in Insight, News
Reading Time: 2 mins read
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The illustration of AI-Driven Optimization boost CTR. (Credit: VOX docs)

illustration of AI-Driven Optimization boost CTR. (Credit: VOX docs)

Heaptalk, Jakarta — In today’s increasingly complex digital advertising landscape, major brands face a critical challenge: effectively reaching target audiences while avoiding the risk of ads appearing alongside inappropriate or harmful content. Therefore, Hybrid introduced AI-powered advertising to maintain brand safety.

According to reports from Integral Ad Science (IAS) and WARC, brand safety has become a top priority in programmatic advertising:

  • 35% of consumers blame brands when their ads appear near unsafe content
  • 43% develop negative perceptions of brands associated with inappropriate content
  • 56% are unlikely to purchase from brands advertising near risky material
  • 60% of programmatic advertising experts cite brand safety as one of their most significant concerns

These statistics confirm that brand safety is a passing trend and crucial to maintaining consumer trust and digital campaign effectiveness. To address these challenges, Hybrid highlights that machine learning (ML)—a branch of artificial intelligence that learns from vast datasets and past experiences—has become a powerful tool for optimizing digital campaigns.

“By optimizing key performance metrics like CPC, CPM, CTR, CPV, CPA, and CPI, ML enables advertisers to reach the right audiences and boost conversions with minimal manual intervention,” explained Hybrid in a written statement on Wednesday (05/21).

On that occasion, Hybrid also explained how ML works. The Hybrid ML model works based on Real-Time Data Analysis – ML processes thousands of signals instantly to predict user behavior before bidding in an ad auction. Performance-Based Optimization – This model automatically reduces cost per acquisition (CPA) while increasing conversion rates. Audience Identification & Retargeting – Using SmartPixel, ML builds lookalike audiences and personalizes creative content based on user behavior. And Data Privacy & Security – All data is anonymized, ensuring no personal user information is collected or shared. “This approach not only safeguards brand reputation but also maximizes ROI in today’s high-stakes digital ecosystem,” Hybrid added.

Tags: AI-powered adshybrid
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