Ask Your Google Ads / GA4 Data Questions in Plain English - Live Demo

What if you could ask your marketing data a question and get a trustworthy answer in seconds?

No dashboards. No exports. No waiting for an analyst.

In this live demo, you’ll see how Terno AI lets you ask questions about your marketing data in plain English and get answers computed directly from your actual Google Ads and GA4 data.

Questions like:

• Which campaign drove the most conversions this week?
• Why did GA4 sessions drop?
• Which keywords are wasting our ad spend?
• What changed in our conversion performance?

You’ll see the questions, the data, and the answers unfold live. Then it’s your turn: bring your own marketing question and see whether Terno AI can answer it on the spot.

What you'll see

• Live setup: Google Ads and GA4 connected to Terno AI in real time.
• Plain-English questions: Ask about campaigns, conversions, traffic, spend, and performance without building reports first.
• Real data, real computation: See how answers are calculated from your actual data rather than generated as an AI guess.
• Live audience questions: Bring your own question and challenge the system during the demo.
• From “what happened?” to “why?”: Explore how the tool can move beyond basic metrics to investigate changes in performance.

Who should attend

• Performance marketers and growth teams managing Google Ads campaigns.
• Marketing managers who regularly need quick answers from their data.
• Agency account managers working across multiple client accounts.
• Analysts who spend time rebuilding reports and pulling the same numbers for different questions.
• Anyone interested in using AI with real business data and understanding what makes an answer trustworthy.

What you'll learn

You’ll see the practical difference between an AI that generates an answer and one that actually computes the answer from your data.
You’ll also get a sense of the kinds of marketing questions these systems can handle, from quick performance checks to deeper investigations into why something changed and where their limitations still are.
Most importantly, you’ll see how much of the repetitive work behind marketing analysis could potentially be reduced: exporting data, building one-off reports, digging through dashboards, and answering yet another “can someone pull this number for me?” request.