Connect your CallRail call tracking data to ChatGPT with Adzviser. Ask questions in plain language to see how many calls your marketing is generating and where those calls come from.
Compare total calls, first-time callers, answered and missed calls, and call duration across date ranges. Break results down by tracking number, source, campaign, or agent. Turn your call data into clear reports and see which channels are actually driving the phone to ring.
How to use
- 1Add it in ChatGPT
Open Adzviser CallRail in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Adzviser CallRail, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 2
- adzviser-data-mode
Retrieve and analyze model-visible, row-level marketing or sales data with Adzviser. Use when the user asks for Data Mode, reporting_mode=data, raw rows, an audit, calculations, comparisons, trends, insights, optimization recommendations, or any answer that requires ChatGPT to inspect the underlying numbers. Do not use when the user explicitly wants only the interactive Preview UI.
- adzviser-preview-ui-mode
Open Adzviser's interactive embedded report preview in ChatGPT so the user can inspect, edit, or run a reporting request in the widget. Use only when the user explicitly asks for Preview UI, UI Mode, an interactive or embedded report, a report builder, or a chance to review or edit the request before running it. Do not use for raw rows, Data Mode, audits, calculations, comparisons, or programmatic analysis.
Things to ask
- “How many calls did my marketing generate last week?”
- “Generate a monthly CallRail call tracking report covering the last 30 days”
- “Break down my CallRail calls by source for the last 14 days”