Summary
The real magic happens when humans and machines work together, combining AI data analytics with strategic thinking, brand expertise, and creative flair. This collaborative approach, sometimes called co-intelligence, is what separates average results from breakthrough outcomes.
MiQ 以解决 YouTube 带来的营销挑战为使命，并与 Pixability 进一步加深了合作伙伴关系。作为唯一一家获得谷歌品牌适用性、上下文定位和内容洞察力认证的公司。Pixability 能够通过 YouTube 数据，确定品牌推广活动的最佳渠道。通过此次合作，MiQ 能够将 Pixability 的自主品牌适用性解决方案与其领先的数据科学及交易能力相结合，最终确保品牌在 YouTube 上的安全性和相关性。
Pixability 与谷歌的合作已达十年之久，这也意味着它享有 YouTube 平台10年的历史数据。作为 YouTube Measurement Program (YTMP) 的认证成员，Pixability 能够直接从 YouTube 和 YouTube TV 生态系统中摄取数据，并维护业内最大的 YouTube 频道和视频库。他们根据 GARM 的品牌适用性框架和 IAB 内容分类法对全部内容进行分类，使 MiQ 这样的合作伙伴能够对每个广告活动的适用性展示位进行精准把控。
Mohammad Chughtai MiQ 全球 ATV 负责人表示：" 质量远胜于数量。程序化行业正在大踏步地向前迈进，实现全渠道成功的必要性从未像现在这样迫切。将 MiQ 丰富的程序化经验与 Pixability 领先的上下文分析相结合，使我们能为困扰业内多年问题的成效、有效性和品牌适用性方面设定全新的基准。”
此次合作是 MiQ 继2021年与 Pixability 初次合作的延续。我们初次合作的重点是提升 YouTube 在 DV360 上的表现，并利用 Pixability 的 BrandShield 技术在渠道和视频层面提供深度的品牌适用性。虽然我们最初的合作目标放在了 北美，但新的合作伙伴关系将延展至 欧洲 和 亚太地区 ，并为活动规划、品牌适用性和目标定位提供了更深入的能力。"
MiQ 进一步加深了与 Pixability 在数据方面的合作。MiQ 拥有业内最大且最多元化的数据集，其中包括 6000万台设备 和 4300万家庭电视收视率数据，此次合作也是对 MiQ 数据强有力的补充。此外，它还进一步加强了 MiQ 在 有线电视、OTT 和 YouTube 上的程序化广告投放能力。
此次与 Pixability 的深入合作，也进一步拓展了 MiQ 在 YouTube 广告推广活动方面的新功能。这其中不仅包括全渠道推广活动前规划和竞品情报，还包括品牌适用性功能。这是业内任何一家 YouTube 或 CTV 合作伙伴所无法比拟的。
Grant Stratemeyer Pixability 业务发展高级副总裁表示：" 与 MiQ 这样独特的合作伙伴合作，能够为 YouTube 上的广告主提供前所未有的机会。通过结合双方的优势，我们不仅解决了既有的挑战，还为品牌在日益分散的媒体环境中茁壮成长提供了新的途径。在不损害品牌完整性的情况下，使广告主对每一笔广告价值都拥有绝对的保证和控权。"
赋能中国广告主实现真正的 — 降本增效
如何优化 YouTube 营销表现一直是业内亟待解决的问题。时值2024年之初，营销人员在制定营销策略时应从用户的规模化获取、提升营销表现、品牌适用性和洞察力等多维度综合考量。
通过此次深度合作，营销人员不仅能在 YouTube 平台建立、管理和运营推广活动时获得 MiQ 专业团队的支持，还能通过 MiQ 提供的最全面的 YouTube 解决方案，实现真正意义上的降本增效。
Humans and AI: a partnership, not a rivalry
There’s a lot of fear and uncertainty around AI replacing marketers. And it’s understandable. Generative AI for marketing can now write copy, build personas, analyze trends, and even create visual assets in seconds. But here’s the truth: while AI can reach speeds and scale no human can match, it still lacks one essential ingredient. And that’s human judgement.
That’s why achieving co-intelligence is the key to successfully using AI for marketing. Working with AI isn’t about letting it take over. It’s about letting it handle the time- consuming, repetitive tasks so you can focus on high-impact work. AI can scan millions of data points to find correlations, but it can’t tell you which message will resonate emotionally with your audience. It can suggest audiences to target, but it can’t always understand your brand nuance or campaign goals.
In that sense, AI is a multiplier, not a replacement. And this partnership works best with co- intelligence:
AI delivers speed, scale, and pattern recognition.
Humans provide context, critical thinking, and creativity.
So what can AI help you with?
If you’re still getting comfortable with AI for marketing, here are a few practical ways to use it:
Audience creation: Generate AI personas for B2B marketing by analyzing behavioral data and firmographic inputs.
Channel optimization: Use AI to identify the best-performing platforms for different segments, based on real-time data.
Creative testing: Run A/B tests faster and more accurately using machine learning to analyze engagement.
Reporting: Let AI build custom dashboards and surface key insights automatically
Data harmonization:: Combine first and third-party data to uncover patterns you might miss manually.
Want to see how leading marketers are building confidence in AI? Read our Al confidence curve report to explore how they're closing the gap between potential and performance
Training AI and yourself to work smarter
Using AI successfully isn’t just about knowing what it can do. It’s understanding AI training, including when to trust it and where to guide it.
Just like people, AI systems need the right context, input, and direction to work well. That’s where AI model training and AI training data come in. A generic tool trained on broad datasets might be useful for basic tasks, but if it hasn’t been tailored to your business, your vertical, or your objectives, its output may fall flat.
Similarly, AI training for marketing teams is just as important. The more your team understands how the tool thinks, what data it’s drawing from, what decisions it automates, and where human oversight is needed, the more effective and creative your outputs will be.
Here are a few key areas where you can focus your training efforts:
Tool capabilities: What is your AI designed to do and not do?
Data inputs: What kind of data should you feed it to get better outputs?
Workflow integration: Where in the process should AI take over and when should you step back in?
MiQ Sigma: AI that empowers human creativity
MiQ Sigma isn’t just another AI marketing tool. It’s an AI-powered AdTech platform built specifically for marketers, and backed by real human trading and strategy expertise. That means it understands the nuance, pressure, and complexity of live marketing campaigns and uses that context to support, not override, human decisions.
Unlike standalone tools or fragmented data dashboards, Sigma brings everything together in one place:
Real-time campaign data
Audience modeling
Automated reporting
Performance optimization across platforms.
Sigma is transparent, intuitive, and built to give you control. You can pull reports, explore insights, and build audiences with clarity. And because it’s designed to complement rather than replace marketers, Sigma helps you strike that perfect balance between automation and instinct, speed and strategy, machine logic and human creativity.
Book a Sigma demo to see how co-intelligence comes to life when the right platfor meets the right people.
Confidence grows when you understand co-intelligence
At its best, AI gives marketers the tools to do more, see more, and move faster. But tools alone don’t build confidence. Confidence comes from understanding your audience, your strategy, and your AI.
When marketers take the time to learn how to use their tools, train their models, and blend automation with intuition, they unlock the full potential of AI for marketing. And that leads to better results, faster decisions, and greater creative freedom.
When you stop thinking of AI as a threat and start thinking of it as a teammate, you open the door to more agile, effective, and inspired marketing.
Read our AI confidence curve report to discover how co-intelligence can take your programmatic campaigns even further.
