DynoAgent
Understand how DynoAgent helps users investigate performance and prepare next actions from one chat interface.
DynoAgent is your AI assistant inside DynoWeb.
It helps users understand store performance, investigate problems, spot growth opportunities, and on supported plans, prepare store changes for approval from one chat screen.
What It Does
DynoAgent brings together store analytics, behavior signals, and store context so users do not have to jump between pages to figure out what is happening.
Instead of only showing raw numbers, it explains what the data means, what matters most, and what to do next.
Users can ask DynoAgent to analyze traffic, clicks, scroll behavior, frustration, form drop-off, funnels, revenue, product performance, and content opportunities.
On paid plans, it can also research trends, generate content, prepare product or page updates, create discounts, and suggest actions that the merchant can approve.
What Users Can Do With It
- Ask questions about store performance in plain English.
- Get summaries, reports, and action plans based on live store data.
- Investigate specific issues like drop-offs, rage clicks, weak pages, or mobile UX problems.
- Find top-performing products, pages, and revenue opportunities.
- Use ready-made quick actions to start common analyses faster.
- Upload files or screenshots for extra context.
- Save conversation history and return to past chats.
- Export conversations when needed.
- On supported plans, approve store changes prepared by DynoAgent.
How To Use It Best
Users get the best results when they ask clear, goal-based questions.
Good prompts usually mention the problem, the time range, or the page or product they care about.
For example, "Why is mobile converting worse than desktop in the last 30 days?" is much better than "How is my store doing?"
Quick action buttons are the easiest starting point for new users because they already frame useful tasks like store health, revenue growth, funnel leaks, mobile UX, and SEO improvements.
If the user wants a deeper answer, they can write a custom prompt or turn on Thinking for more detailed analysis.
When DynoAgent prepares a real store change, the user should review the approval card carefully before executing it.
This keeps the merchant in control while still making the workflow much faster.
After any approved action, users can check Action History to review what happened and, where supported, revert it.
Plan Note
On the Free plan, DynoAgent is limited to store context, page views, click data, and scroll analysis.
On Pro and above, it expands into deeper analysis, web research, content generation, and approval-based store actions.