Summary
中立、客观是程序化购买准则，MiQ Sigma 现已成为 全球首个 实现 全生态整合 的 智能广告整合平台。通过数据、技术和投放这三位一体的架构结合前沿的 AI 技术，该平台实现了高效、精准的营销决策。交易代理功能 支持在多个 DSP 和 SSP 之间的 无缝操作，帮助交易人员通过不同的程序化媒体精准触达高价值受众。在高度碎片化的数字生态环境中，MiQ Sigma 重构了品牌、广告主与消费者之间的互动范式，为程序化购买提供了兼具下效率与效果的双重保障。
MiQ Sigma 在测试阶段已取得显著成效
以上的优异表现主要归功于以下 核心技术功能：
MiQ Sigma Intelligence
强大的可视化能力，整合数百种多维数据源，涵盖全球超过 17 亿受众的 “观看、浏览和购买” 行为。通过这些数据的全方位关联，交易人员将被赋予精准触达目标受众和深度洞察市场的能力。
AI 交易代理
营销活动管理和优化功能由一个交互式交易代理实现。这款由 MiQ 15 年交易数据积累训练而成，并整合 Claude、Gemini 和 ChatGPT 三大顶级大语言模型的平台，让交易人员能够通过简洁的自然语言指令，轻松完成跨 DSP 平台的快速决策与操作。
此外，Sigma 还能通过自动化分析完成此前需要依赖手动分析的流程，大幅提升了工作效率和决策质量。
生成式 AI 用户画像
依托生成式 AI 技术，只需简单的自然语言指令，即可在数秒内生成精准的用户画像与营销策略规划。这些目标人群标签可直接应用于营销活动策划，实现从数据洞察到营销活动落地执行的无缝衔接。
MiQ Sigma 构建了全球程序化广告领域 最强大 的 开放生态，深度整合 顶尖技术伙伴，其中包括 The Trade Desk、谷歌 DV360、亚马逊 AWS、Samba、Experian (益博睿)、Databricks、Numerator 、Celtra 以及 Circana，共同打造下一代程序化广告基础设施。
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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.
