Analysis by Q
What is Analysis by Q? Analysis by Q is a tool in the Campaigns table that provides a complete overview of your ad set's performance. Instead of just showing you data, it helps you understand how Quantcast is driving your success and which parts of your ad set are having the biggest impact.
Where can I find Analysis by Q? You can access Analysis by Q directly in the Campaigns table to get a high-level performance overview without having to run separate reports.
What kind of insights does Analysis by Q provide? Analysis by Q provides key insights into several areas, which includes:
Benchmarks Against Similar Ad Sets: See how your ad set's performance stacks up against similar ad sets.
Persona: Understand who is engaging with your ads, helping you to identify if you are reaching the right people and discover new potential audiences.
Key Metric Trends: Visualize how your important metrics are trending over time to spot patterns and the impact of campaign changes.
Site Performance: See which websites are driving the best results for your ads so you can optimize placements.
Device: Learn which devices (mobile, desktop, etc.) are driving the best outcomes for your campaign.
Cookieless Performance: Understand how your campaign is performing in a cookieless environment.
Brand Safety: Get an overview of how Quantcast is protecting your brand by removing invalid or unsafe traffic.
Agent Q
What is Agent Q? Agent Q is an AI assistant that is integrated into your workflow to provide instant support and insights. It's a powerful chatbot that can answer your questions and help you with tasks related to your pixel, setup and reporting.
What can Agent Q help me with? Agent Q provides help in a few key areas:
Instant Answers: Get immediate answers to your questions from a comprehensive knowledge base.
Pixel Management: Receive personalized instructions and troubleshooting for your digital tracking pixels.
Performance Overview: Quickly get performance and delivery metrics and compare different time periods.
How is Agent Q different from Ask Q? Agent Q is an AI chatbot that can provide quick answers and assistance with more complex tasks like pixel management, and pulling performance reports, whereas Ask Q is a conversational search specific to the help center.
Audience by Q
What is Audience by Q? Audience by Q is an option available for campaigns with a conversion objective. It uses Quantcast's best practices to determine the optimal audience to maximize conversions or revenue based on your campaign's conversion data.
The Audience Graph
What is the Quantcast Audience Graph?
The Audience Graph is the intelligence engine that makes autonomous advertising possible. Unlike static audience data sets, it is a live, predictive AI system that processes trillions of signals daily and makes over 10 billion predictions per second. It doesn’t just analyze behavior—it anticipates it, mapping the open internet in real time to understand audiences, content, devices, and intent.
This intelligence powers Quantcast’s autonomous AI agents, enabling them to identify high-value customers, select the right inventory, and optimize campaigns end-to-end without manual intervention. It is the foundation that transforms programmatic from rule-based automation into true autonomy.
What are the key components that power the Audience Graph?
Open Internet Signals: Real-time audience insights from 100M+ web destinations via Quantcast Measure.
Content Intelligence: AI mapping of billions of pages for topics, context, and relevance, refreshed continuously.
Cross-Device + Household Graphs: Proprietary models that connect billions of devices and millions of households, constantly updated for accuracy.
Predictive Learning Loops: Every impression, click, and conversion feeds back into the system, sharpening future predictions.
How does the Audience Graph work?
It continuously absorbs and interprets billions of real-time signals across the open internet. Using advanced AI, it predicts audience intent, optimizes targeting, and adapts campaigns automatically. Instead of relying on static segments and manual tweaks, it runs at machine speed—making micro-adjustments that compound into significant performance gains.
How does the Audience Graph help find new customers?
Audience Graph starts with your conversions, maps them against its intelligence, and builds bespoke predictive models. It then identifies high-value prospects before they show obvious buying signals, giving you first-mover advantage. Every new conversion further improves its predictions, creating a self-reinforcing cycle of performance.
What’s the difference between Audience Graph and Agent Q?
Audience Graph: The foundational intelligence layer—an always-on system that powers everything in the platform.
Agent Q: The user-facing AI assistant—what you interact with directly in a conversational way.
Think of Audience Graph as the engine, and Agent Q as the driver interface.
What are the specialized AI Agents powered by the Audience Graph?
Audience Agent – The Composer: Builds predictive models, finds next customers, guides creative strategy.
Supply Agent – The Curator: Evaluates billions of impressions, filters fraud, ensures brand safety, and selects optimal inventory.
Optimization Agent – The Conductor: Orchestrates delivery, budgets, and pricing across channels for maximum ROI.
How do these AI Agents work together?
They operate as an ecosystem of autonomy:
Audience Agent identifies high-value audiences.
Supply Agent places ads in the best environments.
Optimization Agent orchestrates strategy and execution.
Together, they run campaigns end-to-end, adapting in real time—something impossible for human teams to replicate manually.
What distinguishes Quantcast’s approach from traditional DSPs?
Traditional DSPs are automation tools—rules-based, segment-driven, and dependent on manual optimization. Quantcast’s Audience Graph powers autonomous advertising: campaigns that learn, predict, and optimize themselves at machine speed. Instead of teams micromanaging campaigns, our AI agents compound micro-optimizations into outsized performance gains, freeing marketers to focus on strategy.
What results does the Audience Graph deliver?
44% average increase in conversions vs. legacy DSPs.
50% less campaign management time—teams spend twice as long on manual optimizations with traditional DSPs.61% open internet reach, beyond walled gardens.
Client examples:
Vodafone: +25% sales conversions, 40% cookieless.
MBNA/TD Bank: 88% above goal, 38% higher approval rates.
Yokohama: 34% CPA decrease, 356% lift in store visits.
How quickly can clients see results?
If clients run campaigns against the same setup as their current DSP, the impact is visible immediately—Audience Graph delivers stronger performance from the first impression.
For full onboarding, most advertisers see measurable lift within 7 days, with full ROI impact in 14 days. The typical setup takes 2 weeks: live tag + agent configuration in Week 1, followed by onboarding and training in Week 2.
Who is the ideal client for the Audience Graph?
Mid-market advertisers and independent agencies.
Enterprises with $10M+ ad spend.
Multi-channel strategists seeking performance across channels.
Data-driven organizations use first-party data.
Marketers frustrated by manual optimization workflows.
What kind of data does the Audience Graph use?
Real-time contextual and behavioral signals, cross-device and household data, and first-party inputs. It’s built for a cookieless world—effective on browsers like Safari and Firefox, not reliant on third-party cookies.
What problems does the Audience Graph solve for marketers?
Flying Blind → Provides a holistic, unified view of audiences.
Fragmentation → Connects siloed data sources into a single source of truth.
Cookieless → Privacy-compliant targeting and measurement without third-party cookies.
Budget Waste → Enables precise targeting and real-time optimization for stronger ROI.
What about Quantcast Measure?
Quantcast Measure remains core to our platform, but it is no longer a separate product. Its real-time insights across 100M+ web destinations now feed directly into the Audience Graph. By combining Measure’s data with contextual, device, and household signals, the Audience Graph provides the predictive intelligence that powers autonomous advertising.
What happened to the Topic Map?
The Topic Map has been renamed and absorbed into the Audience Graph. Its ability to map billions of web pages for topics, content, and relevance now lives within the Audience Graph’s continuous learning system.
Is Audience Graph a new product launch?
No. Audience Graph is not a new product—it’s a positioning evolution of how we describe our data and modeling. What used to be talked about separately as Ara, Measure, and Topic Map is now unified under one name: the Audience Graph. It’s the same core intelligence that has powered Quantcast for years—now articulated as the foundation for autonomous advertising across the platform.