Supermetrics lets you plug your live marketing data into AI chats like Claude, ChatGPT, Google Gemini, and Microsoft Copilot, as well as build your custom workflows using the Supermetrics MCP server. The AI chats also use the Supermetrics MCP server in the background to work on the data, but with the AI chats, you don’t need to worry about the complex setup — just connect your Supermetrics account to the AI chat that you’re using, and you’re ready.
In this article, we highlight some practical examples of what you can do in different AI chats using the Supermetrics MCP server that powers all AI analytics.
Note
To ask questions about your data, first connect Supermetrics to the AI tool you're using or get set up with the Supermetrics MCP server.
What is possible with the Supermetrics AI chats and Supermetrics MCP server
AI chats and the Supermetrics MCP server are very good at answering questions about your data. They can also compare different types of data and, based on the data, generate summaries and explanations.
Imagine this: instead of logging into 5 different platforms to check your marketing performance, you simply ask AI: "How did our social media campaigns perform last week compared to Google Ads?" And then, without switching tabs: "Pause the underperformers and shift budget to what's working."
The AI chats and the Supermetrics MCP server makes this possible. Here's what you get:
Unified marketing view: See all your marketing data in one place and compare performance across platforms without switching between dashboards.
AI-powered insights: Ask questions about your data in plain English and get automated analysis, trend spotting, and recommendations.
From insight to action: Don't just see what's happening — do something about it. Create and manage campaigns directly from your conversation, so "our CPA is too high" can become "budget reallocated" in minutes.
Cross-platform campaign management: Create and manage campaigns on Google Ads, Meta, Microsoft Ads, and TikTok from one place — including targeting, budgets, ad groups, and extensions. You can also generate ad creatives instantly by describing what you want.
Real-time access: Always up-to-date data, with no manual exports or delays.
No technical setup: Works with the AI chats you already use, through a natural language interface. No coding required.
What you can achieve
Ask natural‑language KPI questions
“How much did we spend on the Acme Corp Google Ads account last month?”
“Which Facebook campaigns had the best ROI this quarter?”
“Show me our website traffic trends from Google Analytics.”
“Compare Instagram vs. TikTok ad performance.”
“What are our top converting keywords?”
"Break down our LinkedIn Ads leads by campaign and job title"
Get instant reports
Your AI tool can create reports automatically:
Daily performance summaries: "Give me yesterday's ad performance across all platforms" or “Generate a short management summary of campaign performance across Google Ads, Meta, and LinkedIn for last month. Include top KPIs and key changes vs. the previous month.”
Weekly trend analysis: "Show me how our metrics changed week over week"
Campaign comparisons: "Compare these 3 campaigns side by side"
CPA across channels: “Compare cost per acquisition across my Facebook Ads campaigns.”
Cross-platform insights: "Show me our complete marketing funnel performance" or “Compare Meta vs LinkedIn cost per lead and conversion volume over the last 90 days.”
Period-over-period: "Compare this month to last month across all channels"
Spot anomalies: “Explain any anomalies you find in last week’s traffic from GA4 and propose 3 hypotheses for why they happened.”
Client summaries: “Create a summary comparing all my clients’ Facebook ad performance this month.”
Explore your data
Discover what's available:
Find connected accounts: See all your connected Google Ads, Facebook, Analytics accounts
Explore available metrics: Discover what data you can pull from each platform and find specific metrics or dimensions by keyword
Browse data sources: See which of the 100+ platforms you can connect
Manage campaigns
Create and manage advertising campaigns directly from your conversation:
Create campaigns: "Create a Google Ads search campaign targeting 'running shoes' keywords with a $50/day budget"
Update campaigns: "Change the budget on my summer sale campaign to $100/day"
Pause and enable: "Pause all campaigns with CPA above $40" or "Enable my holiday campaign"
Manage ad groups: Add, update, or remove ad groups and individual ads
Update targeting: Change geographic, demographic, interest, and keyword targeting
AI-generated creatives: "Create an ad with an AI-generated image of a cozy living room with candles"
Manage extensions: Add sitelinks, callouts, and other extensions to Google Ads campaigns
Campaigns are always created in a paused state so you can review everything before going live.
Monitor campaign health
Get quick performance snapshots without building custom queries:
Health checks: "How are my Google Ads campaigns performing?" — get spend, impressions, clicks, conversions, CTR, CPC, CPA, and ROAS in one view
Performance alerts: "Which campaigns are spending budget but not converting?"
Budget monitoring: "Are any campaigns over or underspending?"
Ad review status: See which ads are approved, in review, or disapproved
Plan campaigns
Research and plan before you launch:
Keyword research: "What keywords should I target for a yoga studio in Austin?"
Search volume: "How much search volume do these keywords get?"
Interest discovery: "Find targetable interests related to sustainable fashion"
Audience estimation: "How large is the audience for women 25-34 interested in fitness in New York?"
Browse assets: See existing images, videos, and Facebook Pages you can use in ads
Review recommendations: See platform optimization suggestions for existing campaigns
Combine data from multiple sources
Create powerful unified views:
Marketing dashboard: Combine Google Ads, Facebook Ads, and Google Analytics data
Social media overview: Merge Instagram, TikTok, and LinkedIn performance
E-commerce insights: Blend website, ads, and sales data
Full-funnel view: Connect ad clicks to website behavior to conversions
Get support
Reach Supermetrics directly from your conversation:
Send feedback or request new features: "Tell Supermetrics I'd love to see Threads Ads support"
Contact support: "I'm having trouble connecting my Google Analytics — create a support ticket"
Sales enquiries: "I'd like to learn about Supermetrics pricing for my team"
Best practices in using AI to work with your data
Getting better answers from your data
Define what you need: When querying data, ensure that you specify the following in your prompt to guarantee the accuracy and relevance of the responses:
Date range, such as 'past 7 days' or 'last month'
Metrics, such as 'Impressions', 'Clicks', 'Cost', 'CTR', or 'CPC'
Dimensions for breakdown, such as 'breakdown by country' or 'use age group for rows'
Be specific when it matters. Instead of "show me performance data," ask "show me Google Ads click-through rates by campaign for last week." The more specific your question, the more useful the answer.
Start with a question, not a request. Before asking for a report, ask what's interesting. "What stands out in our Google Ads data this month?" often surfaces insights you wouldn't have thought to look for.
Working through complex tasks
Specify new tasks or new tasks to switch to: Start each task with a specific prompt that informs the AI chat about the task at hand. For example, "Let's gather advertising data for an educational app and then analyze it to refine marketing strategies", or "Next, help me with analyzing marketing data for my fashion webshop".
Break series of tasks to steps: If you need the AI to perform a series of tasks, break them down into smaller, more manageable steps. This will help the AI understand your instructions and execute the tasks accurately.
Ask the AI to explain its reasoning: Often, questions seem obvious and simple to a human but actually involve many more steps of reasoning for an AI. "Let's think step by step" or "Explain your chain of reasoning before answering" would be good instructions to be included in your prompt. This helps understand the logic behind the insights, aiding better decision-making.
Ask follow-up questions. If you see an interesting trend, dig deeper. "Why did CPA spike last Tuesday?" or "Which audience segment is driving that improvement?" leads to actionable insights.
Making the most of cross-platform data
Combine platforms for the real magic. The biggest value comes from comparing and combining data across channels. "Compare our Google Ads vs. Meta Ads CAC by audience segment" reveals insights no single platform can show.
Taking action on insights
Use the analyze-then-act loop. Don't just look at data — act on it. "Show me underperforming campaigns" followed by "pause them and reallocate the budget" turns insights into results immediately.
Review before you launch. Campaigns are always created in a paused state. Take a moment to review targeting, budget, and creatives before enabling. Ask "show me the full campaign details" to double-check everything.
Let AI create your first draft. Don't know what keywords to target or what audience to reach? Ask for suggestions. "What keywords should I target for a yoga studio in Austin?" gives you a starting point you can refine.
Use health checks for quick monitoring. Don't build a complex query when you just want to know "how are things going?" — a campaign health check gives you spend, clicks, conversions, CTR, CPC, CPA, and ROAS in one shot.
Track your changes. After making campaign changes, check back. "Compare this week's performance to last week for the campaigns I updated" closes the feedback loop and validates your decisions.
Analytics-focused use case examples
These examples work with all Supermetrics AI chats destinations and the Supermetrics MCP server. Note that Gemini Enterprise is not able to generate data visualizations.
Marketing agency: Client reporting made simple
The challenge: Sarah runs a marketing agency with 15 clients. She needs to create weekly reports showing performance across Google Ads, Facebook, Instagram, and Google Analytics for each client.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me Client ABC's performance across all platforms last week"
"Create a summary comparing all my clients' Facebook ad performance this month"
"Which client had the best ROI across all channels?"
Result: What used to take 8 hours of manual work now takes 30 minutes of asking questions.
CMO: Board-ready insights on demand
The challenge: James needs to present marketing performance to the board every quarter, pulling data from 8 different platforms and calculating blended metrics.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me quarter-over-year growth across all marketing channels"
"Calculate our blended customer acquisition cost across Google Ads, Meta, and LinkedIn"
"Which channels are trending up and which are declining? Highlight the key shifts."
Result: James creates comprehensive board presentations in minutes instead of days, with always-current data.
SEO manager: Content ROI across platforms
The challenge: Priya manages content marketing and needs to connect the dots between search rankings, website traffic, and social engagement to prove content ROI.
With Supermetrics AI chats and Supermetrics MCP server:
"Compare Google Search Console rankings with Google Analytics traffic for our top 20 blog posts"
"Which content pieces drive the most organic conversions?"
"Cross-reference YouTube video performance with website visits from YouTube"
Result: Priya discovers that 3 undervalued blog posts drive 40% of organic revenue, reshaping the content strategy.
E-commerce: Funnel diagnostics
The challenge: The marketing team at an online retailer sees a sudden drop in conversion rate but can't tell where in the funnel users are dropping off.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me the full funnel from Google Ads click to website session to cart to purchase, broken down by device and campaign"
"Compare this week's funnel to last week — where's the biggest drop?"
"Which campaigns still convert well and which ones broke?"
Result: They pinpoint that mobile checkout on two campaigns broke after a site update, fixing it within hours instead of guessing for days.
Social media manager: Cross-platform performance
The challenge: Alex manages social media across 5 platforms and spends half a day each week manually comparing metrics in different dashboards.
With Supermetrics AI chats and Supermetrics MCP server:
"Compare our engagement rates, follower growth, and top posts across Instagram, TikTok, Facebook, LinkedIn, and YouTube for the past 3 months"
"Which platform gives us the best engagement per post?"
"Show me our top 10 performing posts across all platforms this month"
Result: Alex identifies that short-form video on TikTok drives 5x the engagement of similar content on other platforms, shifting the content mix.
B2B marketer: Lead quality analysis
The challenge: Marketing generates plenty of leads through LinkedIn Ads and Google Ads, but the sales team complains about lead quality. There's no easy way to connect ad data to CRM outcomes.
With Supermetrics AI chats and Supermetrics MCP server:
"Pull LinkedIn Ads cost per lead alongside Salesforce opportunity data"
"Which campaigns generate leads that actually close into deals?"
"What's our true cost per qualified opportunity, not just cost per click?"
Result: The team discovers that their highest-CPL LinkedIn campaign actually produces the best close rate, completely flipping their budget allocation strategy.
Email marketer: Campaign effectiveness
The challenge: Maria runs email campaigns on Mailchimp and needs to understand not just open and click rates, but which emails actually drive revenue.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me Mailchimp open rates, click rates, and unsubscribe trends by segment over the last 6 months"
"Cross-reference with Google Analytics — which email campaigns drove the most revenue?"
"Are our re-engagement campaigns actually saving subscribers or accelerating churn?"
Result: Maria discovers that a specific post-purchase email sequence drives 25% of repeat purchases, justifying a bigger investment in lifecycle email.
App marketer: Acquisition source comparison
The challenge: A mobile app uses 4 different advertising channels and struggles to compare true user quality across them.
With Supermetrics AI chats and Supermetrics MCP server:
"Compare user acquisition cost across Apple Search Ads, Google Ads, TikTok Ads, and Meta Ads"
"Which source brings users with the best retention and highest in-app revenue?"
"Show me the trend — are acquisition costs going up or down by platform?"
Result: The team shifts 30% of budget from a high-volume but low-quality source to one that costs more per install but delivers 4x the lifetime value.
Media buyer: Pacing and budget oversight
The challenge: David manages ad spend across 4 platforms and needs to catch pacing issues before they burn through budgets or leave money on the table.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me spend pacing vs budget across Google Ads, Meta, Microsoft Ads, and TikTok for all active campaigns"
"Flag anything over or underspending by more than 15%"
"What's our total spend this month vs plan across all platforms?"
Result: David catches a Meta campaign overspending by 40% on Monday morning instead of discovering it at month's end, saving thousands in wasted spend.
Consultant: Multi-client health check
The challenge: An independent consultant manages Google Ads for 8 small business clients and needs a quick way to spot problems across all accounts.
With Supermetrics AI chats and Supermetrics MCP server:
"For each of my 8 clients, pull last month's Google Ads performance"
"Flag accounts where CPA increased more than 20% or impression share dropped below 50%"
"Give me a prioritized action list — which accounts need attention first?"
Result: Instead of logging into 8 accounts every morning, the consultant gets a prioritized action list in 2 minutes and focuses time where it matters most.
Mixed use case examples: Analyze, then act
These examples work with all Supermetrics AI chats destinations and the Supermetrics MCP server. Note that Gemini Enterprise is not able to generate data visualizations.
Performance marketer: Budget reallocation
The challenge: A performance marketing team runs campaigns across Google and Meta but reviews performance and reallocates budgets manually every week.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me CPA by campaign across Google Ads and Meta Ads for the last 14 days"
"Pause anything with CPA above $50 that's had at least 100 clicks"
"Create a new campaign targeting our best-performing audience segments with the freed-up budget"
Result: Weekly optimization that took half a day now happens in a single conversation, and the team reallocates budget faster when market conditions shift.
E-commerce: Seasonal campaign launch
The challenge: An online retailer needs to plan Black Friday campaigns but wants to base them on what actually worked last year, not guesswork.
With Supermetrics AI chats and Supermetrics MCP server:
"Pull last year's Black Friday performance across Google Ads and Meta — which campaigns, keywords, and audiences converted best?"
"Based on the top performers, create a Google Ads campaign targeting those keywords with updated ad copy"
"Generate AI images for the new display ads featuring our top-selling product categories"
Result: The retailer launches data-informed campaigns in hours instead of weeks, with creatives generated on the spot.
Growth manager: Fighting ad fatigue
The challenge: Paid social campaigns that performed well initially are seeing declining CTR and rising CPM — a classic sign of creative fatigue.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me all Meta ads with frequency above 4 and CTR declining week-over-week"
"Pause the fatigued creatives"
"Create replacement ads targeting the same audiences with fresh AI-generated images and new headlines"
Result: The growth team refreshes creatives in minutes instead of waiting for the design team's next sprint, keeping campaigns performing.
Retail brand: Geographic expansion
The challenge: A retail brand advertising on Google Ads wants to expand to new regions but doesn't know where the best opportunities are.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me ROAS by state across all Google Ads campaigns for the last 90 days"
"Which top-performing states am I not actively targeting with dedicated campaigns?"
"Create campaigns for the top 3 opportunity states with localized ad copy and geo-targeting"
Result: The brand expands into 3 new states with campaigns tailored to proven high-ROAS regions, reducing the risk of wasted spend.
SaaS marketer: Keyword gap attack
The challenge: A SaaS company knows they're losing Google Ads impression share on high-intent keywords but hasn't had time to research and launch new campaigns.
With Supermetrics AI chats and Supermetrics MCP server:
"Pull our Google Ads search impression share report — where are we losing the most share on high-conversion keywords?"
"Get search volume data for those keyword gaps"
"Create a new campaign targeting the top 15 opportunity keywords with $30/day budget"
Result: In one conversation, the marketer goes from "we're probably missing opportunities" to a live campaign capturing previously lost traffic.
Agency: Applying platform recommendations
The challenge: A media agency manages dozens of Google Ads accounts and rarely has time to review and apply Google's optimization recommendations.
With Supermetrics AI chats and Supermetrics MCP server:
"Check Google Ads optimization recommendations for Client XYZ's account"
"Show me what Google suggests — which ones actually make sense based on recent performance?"
"Apply the bid adjustments and add the suggested keywords to the relevant campaigns"
Result: The agency systematically reviews and applies recommendations across client accounts, improving optimization scores and performance without manual platform work.
DTC brand: Cross-platform expansion
The challenge: A direct-to-consumer brand has a successful Google Ads campaign and wants to test Meta and TikTok, but dreads the manual setup across platforms.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me the targeting, keywords, and performance of my best Google Ads campaign"
"Create a similar campaign on Meta targeting equivalent interest-based audiences"
"Also create one on TikTok adapted for that platform — video-first creative with AI-generated imagery"
Result: A multi-platform expansion that would take days of manual setup in three different ad platforms happens in a single conversation.
Action-focused use case examples
These examples work with all Supermetrics AI chats destinations and the Supermetrics MCP server. Note that Gemini Enterprise is not able to generate data visualizations.
Small business owner: First campaign ever
The challenge: A small business owner sells handmade candles online and has never run a digital ad before. They have no idea where to start.
With Supermetrics AI chats and Supermetrics MCP server:
"I sell handmade candles online. Help me create a Facebook Ads campaign targeting home decor enthusiasts in the US, with a $30/day budget"
"Generate AI images of cozy living rooms with candles for the ads"
"How large is this audience? Should I narrow the targeting?"
Result: A complete campaign is created — targeting, budget, ad copy, AI-generated images — all without the business owner ever opening Meta Ads Manager.
Agency: Multi-platform campaign rollout
The challenge: An agency wins a new client and needs to launch campaigns across Google, Meta, and TikTok quickly.
With Supermetrics AI chats and Supermetrics MCP server:
"Create a Google Ads search campaign for 'organic skincare' keywords with $100/day budget targeting women 25–45"
"Create a matching Meta Ads campaign targeting interest-based audiences in the same demographic"
"Create a TikTok campaign for the same brand with AI-generated lifestyle imagery"
Result: Three platform-specific campaigns launched in one session, each adapted to the platform's strengths — search intent on Google, interest targeting on Meta, visual storytelling on TikTok.
Startup: Rapid experimentation
The challenge: A startup needs to validate messaging quickly and can't afford to waste budget on a single untested approach.
With Supermetrics AI chats and Supermetrics MCP server:
"Create three Google Ads campaigns testing different keyword themes — productivity tools, time management, and team collaboration — each with $20/day"
After a week: "Show me which keyword theme has the best conversion rate"
"Pause the two losers and double the winner's budget"
Result: A structured test-learn-scale loop that would require multiple platform sessions and spreadsheet tracking happens through natural conversation.
Local business: Event promotion
The challenge: A photography studio is hosting a weekend workshop and needs to promote it to nearby photography enthusiasts.
With Supermetrics AI chats and Supermetrics MCP server:
"Create a Meta Ads campaign targeting people within 25 miles of Austin interested in photography, with a $15/day budget running for 3 weeks"
"Generate an AI image showing a photography workshop setting"
"How many people can we reach with this targeting and budget?"
Result: The studio owner goes from "I should probably promote this" to a live, targeted campaign in under 10 minutes, without any advertising experience.
Surprising use cases: Things you never thought of
These examples work with all Supermetrics AI chats destinations and the Supermetrics MCP server. Note that Gemini Enterprise is not able to generate data visualizations.
Data-driven troubleshooting
The challenge: Google Ads CPC jumped 40% overnight and no one knows why.
With Supermetrics AI chats and Supermetrics MCP server:
"My Google Ads CPC spiked 40% this week. Break it down by campaign, keyword, device, and audience — what changed?"
"Compare this week to the previous 4 weeks — is this a trend or a sudden shift?"
"Adjust bids on the worst-affected keywords and pause any that are bleeding money without converting"
Result: What usually takes a morning of digging through Google Ads reports, exporting to spreadsheets, and hypothesis testing happens in one conversation — diagnosis and fix together.
Cross-channel attribution story
The challenge: Marketing runs campaigns on 4 platforms but only measures last-click attribution, missing the full picture of how channels work together.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me the customer journey: TikTok awareness → Google search → website visit → Meta retargeting → purchase"
"What's the true cost of acquiring a customer across the full path?"
"Which channels are doing the heavy lifting on awareness vs conversion?"
Result: The marketing team builds a data story that proves TikTok's value beyond last-click, justifying its budget to skeptical stakeholders.
Competitive intelligence to action
The challenge: A brand suspects competitors are gaining ground on key Google Ads keywords but has no way to quickly assess and respond.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me our Google Ads impression share trends — where are we losing ground?"
"Get keyword suggestions for related terms we're not bidding on"
"Create a campaign targeting the top opportunity keywords before competitors lock them up"
Result: The brand turns competitive blind spots into live campaigns in a single session, staying ahead instead of reacting after the fact.
Campaign undo and rollback
The challenge: Someone made targeting changes to a key Google Ads campaign last week and performance tanked. The team needs to figure out what changed and undo it.
With Supermetrics AI chats and Supermetrics MCP server:
"Show me the change history for our 'Brand Search' Google Ads campaign"
"Compare performance before and after Tuesday's changes"
"Revert the targeting changes that hurt performance — put it back the way it was"
Result: Instead of guessing which changes caused the problem, the team sees an exact audit trail and rolls back the problematic changes — all without opening Google Ads.
Advanced capabilities
Data blending across platforms
Want to see data from multiple platforms side by side? Your AI tool can automatically combine data:
"Show me a unified view of Google Ads and Facebook performance for the same time period"
"Create a cross-channel dashboard combining website analytics with all our advertising data"
"Compare our brand search terms in Google Ads vs. organic traffic in Google Analytics"
Smart analysis and pattern recognition
Your AI tool doesn't just show data — it finds patterns and insights:
"What trends do you notice in our advertising performance over the last 6 months?"
"Which campaigns should I pause based on declining performance?"
"Are there any anomalies in our data this week compared to the previous 4 weeks?"
Custom metrics and calculations
Create custom metrics that matter to your business:
"Calculate our blended cost per acquisition across all advertising platforms"
"Show me lifetime value trends by acquisition channel"
"What's our marketing efficiency ratio — total revenue divided by total ad spend?"
Campaign optimization loop
The real power comes from closing the loop between data and action:
Analyze performance → Identify issues → Make changes → Measure impact — all in one conversation
"Show me what's not working, fix it, and then check back in a week to see if it improved"
AI-generated ad creatives
Create ad images without a design team:
Describe what you want in plain English and get ad-ready images instantly
"Create an image of a modern office with people collaborating for our B2B ads"
Iterate quickly — "Make it warmer and more inviting" — without design tool expertise
Cross-platform campaign management
Manage campaigns across Google Ads, Meta Ads, Microsoft Ads, and TikTok Ads from one place:
Create platform-adapted campaigns without learning each ad platform's interface
Compare approaches across platforms and allocate budget to what works
Maintain consistent messaging while respecting each platform's strengths
Full change history and audit trail
Every campaign change is tracked:
See exactly what was changed, when, and what the impact was
Roll back changes that hurt performance
Maintain accountability across team members