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Industries
Data & Analytics
Consumer Software
Enterprise Software
Company Size
201-500
Company Stage
Series E
Total Funding
$65.1M
Headquarters
Los Angeles, California
Founded
2009
Zefr provides privacy-friendly contextual advertising, focusing on placing ads alongside video content on platforms like YouTube and Facebook without using personal data. Its Contextual Data Management Platform captures and organizes brands’ preferences to activate targeted campaigns with pre-flight targeting and impression-level transparency. The product works by analyzing contextual signals to ensure ads appear next to content aligned with a brand’s values, delivering customized video-level targeting that aims to boost metrics such as view-through rates, aided awareness, and brand favorability. Compared with competitors, Zefr emphasizes privacy compliance and transparent targeting, offering dynamic, video-focused solutions that optimize ad performance while respecting user privacy. The goal is to help brands reach the right audiences in a privacy-safe way and achieve a stronger return on investment for their video campaigns.
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Total Funding
$65M
Below
Industry Average
Funded Over
7 Rounds
Industry standards
Flexible Paid Time Off
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
14 paid holidays off
Flexible hybrid work schedules
Summer Fridays
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)
Zefr and OM Media Trials release first-of-its-kind study on brand impact of Ad Adjacency to AI-Generated Content. Zefr, the global leader in brand suitability technology for social platforms, in collaboration with OM Media Trials, today released new research, AI Slop or Not? Navigating the Risks and Opportunities of Ad Adjacency to AI-Generated Content, the industry's first study to directly measure how advertising performs when placed next to different types of AI-generated content. The study was conducted by OM Media Trials, a dedicated team within Omnicom Media that leads customized research with media owners and adtech platforms to explore how media impacts consumer decisioning in the age of influence, across both the United States and Canada, enabling a cross-market view of how consumers perceive AI-generated content and brand adjacency. While most existing research has focused on how brands use AI in creative, this study uniquely examines the real-world impact of ad adjacency to AI content itself, and how consumers respond when brands appear next to a growing range of AI-driven videos and imagery. The findings challenge the growing tendency to label all AI content as "slop." Instead, the research demonstrates that there is a meaningful difference between low-quality, deceptive or spam-like AI content and creative, entertaining, or brand-aligned AI experiences. "AI content is rapidly becoming unavoidable for advertisers, but treating all AI as a single risk category is both inaccurate and limiting," said Jon Morra, Chief AI Officer at Zefr. "This research shows that some AI environments can drive positive brand outcomes, while others introduce real brand risk. The difference lies in the type of AI content and how it aligns with brand values." AI is reshaping what audiences believe is real Beyond brand safety, the study highlights a deeper challenge facing digital media: consumers are increasingly unsure whether what they see online is real or AI-generated. In fact, 32% of people mistakenly believe human-created content is AI-generated, and audiences most frequently misidentify AI content involving public figures and sexualized imagery as real. AI content can deliver positive brand outcomes AI-generated content is not inherently harmful for brands. Across several AI sub-categories, including satire, humorous youth depictions and creative expression, ad adjacency drove increases in ad recall and perceptions of innovation, demonstrating that some AI environments can enhance brand impact rather than diminish it. This finding is especially important as AI-generated and AI-assisted videos continue to rapidly increase across platforms and as more creators adopt generative tools as part of their everyday content production workflows. By contrast, negative outcomes were most closely associated with spam-like or misleading AI content and with environments that created uncertainty for viewers. Consumers draw clear boundaries for brands Consumers are not neutral on the issue. Eighty-one percent of people say there is at least one type of AI-generated content that is inappropriate for brands to appear next to. When inappropriate alignment occurs, responsibility is shared across the ecosystem, spanning brands, platforms and content creators. The study also found that consumers in Canada are more sensitive to brand adjacency with AI-generated content across categories compared to the United States. Clarity and transparency improve brand outcomes In addition, the research found that clarity can materially improve consumer response to advertising near AI content. Forty-one percent of consumers say they feel more positive about a brand when AI content is clearly labeled, while trusted creators and transparent use of AI tools further improve brand perceptions. By contrast, when consumers cannot tell whether content is AI-generated or human-created, brand performance declines across favorability, trust and purchase intent. "AI content is only going to become more prevalent in the months and years ahead," said Kara Manatt, EVP of Intelligence Solutions at OM Media Trials. "The solution is not to shut off an entire category of content, but to give brands the control and intelligence to align with the right AI environments, and avoid the ones that create risk." Brands can work with Zefr to define their own AI suitability thresholds and apply customized controls that enable them to align with, limit or avoid specific AI content categories based on their unique brand values and risk preferences. About Zefr Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr's platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Its products safeguard media and AI investments, while maximizing performance and efficacy on those channels. Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI. To learn more, visit zefr.com. About OM Media Trials OM Media Trials is a dedicated research unit within Omnicom Media that partners with media owners and adtech platforms to explore how media and creative impact consumers' decision-making in the age of influence. By using the latest technology, intelligent tools, and innovative research methods, OM Media Trials quantify the effectiveness and impact of new ad products and marketing strategies, delivering data and insights that can improve performance. And with access to powerful brands through the world's largest global media management network, this customized research is built on real world campaigns and signals.
November 5, 2024 - Zefr, a provider of brand suitability and content measurement solutions for walled garden environments, has recently announced the launch of its new 'Brand Safety and Suitability Measurement' solution for Snapchat, marking the latest expansion of Zefr's measurement capabilities to one of the world's most popular social platforms.
Zefr announces Brand Safety & Suitability measurement capability for its misinformation category on YouTube.
Zefr, the global leader in brand safety and suitability technology, proudly announces the promotion of Jon Morra as its new Chief AI Officer.
Zefr, the global leader in brand safety and suitability technology, proudly announces the promotion of Jon Morra as its new Chief AI Officer. With an extensive background in Machine Learning, Data Science, and Artificial Intelligence, Dr. Jon Morra is positioned to leverage advanced ML and AI techniques to meet the core needs of Zefr’s customers. In this pivotal role, Morra will spearhead the integration of emerging AI technologies, including Large Language Models, advanced computer vision techniques, and video analysis into Zefr’s technology stack, aiming to refine the brand experience by providing even deeper insights to Fortune 100 advertisers worldwide.Morra has been with Zefr since 2016, yet his journey in AI and machine learning began at Johns Hopkins University, where he earned a BSE in Biomedical Engineering, followed by a MSE (2007) and a Ph.D. from UCLA (2009) in the same field. His unique blend of academic excellence and professional experience, including pivotal roles at eHarmony as Director of Data Science and a venture in radiation oncology leveraging machine learning, equips him with the necessary expertise to innovate in the brand safety domain.Marketing Technology News: 10th Annual Customer Engagement Study Reveals Generational Shifts in How IT Decision Makers Engage with Technology Content and Advertising“I am thrilled to leverage the vast and diverse dataset of social media to deliver unparalleled value to our customers,” Morra stated, emphasizing his commitment towards using AI to enhance the effectiveness of brand advertising on social media platforms.Morra’s strategic vision for AI and Machine Learning across Zefr’s operations, along with the development of core ML technologies, underscores a significant stride forward in Zefr’s mission to strengthen responsible marketing environments for brands
Find jobs on Simplify and start your career today
Industries
Data & Analytics
Consumer Software
Enterprise Software
Company Size
201-500
Company Stage
Series E
Total Funding
$65.1M
Headquarters
Los Angeles, California
Founded
2009
Find jobs on Simplify and start your career today