Quin is Billy Grace's AI marketing agent.
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Quin connects directly to the data inside Billy Grace and turns that data into clear answers, performance insights, recommended actions and structured analyses.

Instead of navigating dashboards and reports, you can now simply ask questions about performance and receive insights and next steps. Quin analyses campaigns, funnel performance and attribution data to highlight what matters most and suggest what to do next.

As a marketer, you likely spend a lot of time analysing dashboards and comparing reports before taking action. Even when you have the right data, turning it into clear insights and confident decisions can still be challenging. That's exactly what Quin is built for.

With Quin, you can:

Instead of spending hours digging through data, you can simply ask a question and get the clarity you need to decide what to do next.

There are several ways to interact with Quin. You can ask questions, use workflows for deeper analysis and define instructions to feed Quin with more relevant information.

You can ask any question directly. Quin responds with clear explanations, graphs and tables and detected patterns and insights.

Example questions:

Quin goes beyond providing answers. It also suggests follow up questions, recommended actions and priorities based on the analysis, helping you move quickly from insight to action.

Example:

Meta performance declined due to lower CTR in two campaigns. Suggested action: Review creative fatigue and test new creatives.

Workflows are structured, step-by-step analyses made by our own in house data scientist. They go deeper than a single question and cover everything from channel performance to ad copy and keywords. Type "/" to open the workflow menu and pick the analysis you need.
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You can use an existing workflow or create your own by clicking 'Create Workflow' to match your specific process.

Want to know what each workflow does? Read this article to learn more.

You can add default instructions that Quin will always keep in mind when analysing your data. Click the settings icon to add or edit them.

These instructions give Quin more context about how you operate, which helps generate more relevant insights and recommendations.

Examples:

Quin runs on three models. You can switch between them depending on the complexity of your analysis.

Quin Strategist delivers the deepest analysis. Best for complex questions, multi-channel deep dives and detailed reporting. Uses the most tokens.

Quin Analyst is the balanced option. Strong analytical capability with more efficient token usage. A good default for most day to day analysis.

Quin Scout is the lightest model. Best for quick and straightforward questions where token efficiency matters more than depth.

Quin is built specifically for Billy Grace. This means it does not just analyse your data, it understands how to interpret it correctly.

It understands your data the right way
Quin is trained on Billy Grace's attribution models and platform features, so it interprets your performance the way it's meant to be interpreted.

​It understands your business context
By scanning your website, Quin picks up on what you do, who you target and how you position yourself. So insights are always connected to your actual business goals.

​It remembers previous conversations
Quin keeps track of what you've discussed before, so you can pick up where you left off without repeating yourself.

When you close a chat with Quin, the conversation is saved automatically in your chat history. This means you can always go back to previous questions, answers and follow-ups without starting from scratch.

You can give feedback on Quin's responses using thumbs up or down buttons. Providing feedback helps Quin improve over time.

Quin operates on a token-based model, where every subscription includes a predefined number of free monthly tokens.

The number of tokens consumed per request varies based on the complexity and length of the question, the volume of input data, the amount of contextual information required, and the length and detail of the generated response.

The following outlines how tokens are used and managed:

Yes. Quin analyses data from the moment your company started using Billy Grace, allowing it to detect long-term trends and performance changes.

Quin works directly within Billy Grace, which means it analyses real campaign performance, attribution models and full-funnel marketing data. On top of that, it scans your website to understand your business, positioning, audience and key selling points. So the insights it gives are always grounded in your actual context.
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Quin isn’t just another AI tool layered on top of your data: it’s purpose-built for Billy Grace from the ground up.
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Unlike general AI tools, Quin is trained by our in-house data scientists on the exact attribution models that power Billy Grace. That means it doesn’t just see your data, it understands how your data is constructed, how attribution is calculated, and what the outputs actually mean in practice.
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Because of this, Quin can interpret your campaigns, funnels, and performance the same way our platform does. There’s no guesswork, no generic assumptions, and no risk of misreading attribution logic.
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In practice, the difference is simple:

So instead of explaining your setup to an external tool and hoping it gets things right, Quin already speaks the language of your Billy Grace environment, and delivers insights you can actually trust.

If you have any questions or run into issues, reach out to us via: