Your campaign data, answered in plain language
The AI Growth Assistant reads your real account data — Meta Ads, Google Ads, Shopify — and answers your questions, explains anomalies, and proposes actions for your approval.
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Campaign performance questions
Ask 'Why did my ROAS drop this week?' and get an answer grounded in your actual Meta, Google, and Shopify data.
Trend explanations
The assistant identifies what changed — new creatives, budget shifts, audience overlap, seasonal patterns — and explains it clearly.
Action proposals
Based on your data, the assistant proposes specific actions. You can approve them directly from the chat.
Cross-channel insight
Questions spanning multiple channels (e.g., 'How is my Shopify conversion rate affecting my Meta ROAS?') are answered with full context.
Natural language
Ask in plain language. No SQL, no custom dashboards, no training required.
Memory within session
The assistant remembers the context of your conversation so follow-up questions are coherent.
Example questions
What data is accessed
- Your Meta Ads campaigns, ad sets, ads, and performance insights
- Your Google Ads campaigns, ad groups, keywords, and conversions
- Your Shopify orders, products, and store metrics
- Your blended analytics and attribution data from Glimmio
Privacy: Your account data is sent to Anthropic (Claude) to generate responses. Anthropic does not train on API data from enterprise customers. Conversation history is stored in your Glimmio account and is scoped to your Business Account — other users cannot see your conversations. See our Privacy Policy.
Response format
Every response is structured for easy scanning:
Summary
A 1–3 sentence direct answer to your question.
What was checked
Which data sources, metrics, and date ranges were analyzed.
Key findings
Structured table or list of the most important data points found.
Recommendations
Specific, prioritized next steps. High-risk recommendations require your approval.
Confidence
The assistant labels its confidence level (high / medium / low) based on data availability.