Product
Ask a question. Inspect the numbers.
Ask DATALYR questions about connected marketing and revenue data in plain English, then inspect the metrics and context behind the answer. Turn a broad concern into a specific, reviewable analysis.
Compare plans and usage
A confident sentence is not enough.
Marketing teams need answers that can be traced to the business data, period and filters used. Ask DATALYR provides a conversational path into the connected workspace. It is most useful when you specify the decision you are making and review the supporting output, rather than treating an automated explanation as a substitute for measurement judgment.
In DATALYR
AI marketing analyst
Begin in plain English
Ask about campaign revenue, acquisition trends or a change in performance. Include the period and business context so the assistant has a bounded question to investigate.
Review the evidence
Inspect the returned figures and the data context that supports them. Missing source data should remain an unknown rather than being mistaken for a measured zero.
Keep useful analysis
Use the available reporting workflow to retain a useful result. Saving a report makes it easier for a teammate to revisit the definition behind a recurring question.
The workflow
From setup to a useful answer.
State the decision
For example, ask which acquisition channels produced revenue during a defined period. Specify whether you mean new-customer payments, recurring revenue or another business outcome.
Check the interpretation
Review dates, source coverage, currency and the attribution basis. Ask a follow-up when a term such as revenue or conversion could mean more than one thing.
Validate the next action
Use the result to identify a campaign or cohort worth deeper investigation. Confirm the evidence before making a material budget or tracking change.
Verify the result
Know what good looks like.
- The answer uses the intended workspace and period.
- Unavailable data is distinguished from zero.
- The recommended action follows from inspectable metrics.
Go deeper
Use the guide for context, then follow the implementation reference for your setup.
A few practical questions.
Does the assistant automatically manage my ad budget?
No. In-app chat has read tools only and cannot change settings, sources, conversion rules or ad budgets. You can explicitly save a useful chart or answer with the application’s save controls.
Can I use my own AI assistant?
DATALYR also offers an MCP connection and an HTTP API. Those are separate access paths with their own authentication and permission controls.
Explore related workflows.
- Marketing analytics MCP server ↗
Connect a compatible AI client to DATALYR through MCP to investigate marketing performance, run supported reports and work with scoped tools.
- Marketing reporting dashboards ↗
Build saved reports, dashboards and analyses in DATALYR so your team can review marketing and revenue performance with a consistent measurement basis.
- Ad analytics software ↗
Review ad spend, campaign performance and attributed revenue in DATALYR. Keep platform-reported conversions distinct from first-party outcomes.