Revolutionizing AI Analytics: Chat With Your Real Data

Every marketer knows the feeling: you need a quick answer — "How did last week's campaign perform?" — and suddenly you're five tabs deep, exporting CSVs, and building a pivot table. By the time you have the answer, the meeting is over.

What if you could just ask? That's exactly what our AI analytics platform does. Connect your real marketing accounts, ask a question in plain English, and get actionable insights pulled directly from your live data.

No dashboards. No exports. No guessing. Just answers.

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The Problem: Why Traditional Analytics Falls Short

Marketers are drowning in dashboards

The average marketing team uses 6–10 different platforms to run campaigns and track performance. Google Analytics. Meta Ads Manager. Google Ads. Email tools. CRM dashboards. Each one has its own interface, its own filters, its own learning curve.

The result?

• Hours lost navigating between platforms
• Delayed decisions because pulling data takes too long
• Missed opportunities buried in reports nobody reads
• Expertise bottlenecks — only one person on the team knows how to pull the right report

"I don't need another dashboard. I need answers." — Every marketing manager, probably.

The old way: login, navigate, filter, export, repeat

Here's what a simple question like "Which campaign drove the most conversions last month?" looks like in the traditional workflow:

Now imagine doing this five times a day. That's three hours of your day spent finding information instead of acting on it.

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The New Way: Just Ask Your AI Marketing Advisor

What is conversational analytics?

Conversational analytics is exactly what it sounds like: you have a conversation with an AI that has access to your real marketing data. Instead of clicking through menus and building reports, you type (or say) what you need:

• "Show me website traffic for the last 30 days"
• "Which Meta campaigns are underperforming?"
• "Compare organic vs paid traffic this quarter"

The AI connects to your actual accounts — Google Analytics, Meta Ads, Google Ads, and more — queries the data in real time, and gives you a clear, actionable answer.

How the AI analytics platform works

Getting started takes three simple steps:

1. Connect your accounts — Link Google Analytics, Meta Ads, Google Ads, or other platforms through secure OAuth. Your credentials are never stored; we use read-only access tokens.

2. Ask a question — Type your question in natural language. No query language, no filters, no report builders. Just ask what you want to know.

3. Get real insights — The AI executes the appropriate API calls, pulls your actual data, analyzes it, and returns a clear answer — often with charts, tables, and specific recommendations.

Example interaction:

You: "What were my top 5 traffic sources last week?"

AI: "Here are your top 5 traffic sources for Feb 1–7, 2026:

1. Google Organic — 12,430 sessions (+8% vs prior week)
2. Meta Ads — 8,210 sessions (-3%)
3. Direct — 5,890 sessions (+2%)
4. Google Ads — 4,120 sessions (+15%)
5. Email — 2,340 sessions (-1%)

Notable: Your Google Ads traffic jumped 15% — likely driven by the new campaign you launched on Feb 3. Meta Ads dipped slightly; I'd recommend reviewing the 'Spring Sale' ad set which saw a 22% drop in CTR."

That's not a template. That's your data, analyzed in seconds.

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Key Features of Our AI Analytics Platform

Real-time data from your actual accounts

This isn't a demo with fake numbers. When you ask a question, the AI executes live API calls to your connected platforms. The data you see is the data in your accounts — right now.

Multi-platform intelligence

Connect multiple data sources and get cross-platform insights:

• Google Analytics 4 — Traffic, conversions, user behavior, landing page performance
• Meta Ads (Facebook & Instagram) — Campaign performance, ad spend, ROAS, audience insights
• Google Ads — Search campaigns, keywords, Quality Scores, conversion data
• More integrations coming soon

Ask questions that span platforms:

• "How does my Meta Ads traffic compare to organic search this month?"
• "Which channel has the lowest cost per conversion?"
• "Show me a breakdown of all traffic sources and their conversion rates"

AI-powered marketing insights (not just raw numbers)

The difference between data and insight is context. Our AI doesn't just return numbers — it interprets them:

• Trend detection: "Your bounce rate has increased 12% over the past 2 weeks — primarily on mobile landing pages."
• Anomaly alerts: "Meta Ads spend jumped 40% yesterday without a corresponding increase in conversions. You may want to check your bidding settings."
• Actionable recommendations: "Your 'Brand Awareness' campaign has a $0.03 CPM but near-zero conversions. Consider reallocating that budget to your 'Retargeting' campaign which has a 4.2x ROAS."

Tool execution: the AI takes action, not just advice

When you ask a question, the AI doesn't just guess. It executes tools — structured API calls to your connected platforms — to fetch exactly the data needed. You can see which tools were called and what data was retrieved, ensuring full transparency.

Choose your AI model

Not every question needs the same level of analysis. Our platform offers multi-model routing:

• Fast mode (Claude Haiku): Quick questions, simple lookups, status checks. Responses in 1–2 seconds.
• Deep analysis mode (Claude Opus): Complex comparisons, strategic recommendations, multi-step analysis. More thorough, takes a few seconds longer.

You choose the model based on what you need — speed for quick checks, depth for strategic planning.

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Real Use Cases: What Marketers Are Asking

Campaign performance monitoring

"Which of my Meta campaigns are underperforming this week?"

The AI pulls live campaign data, compares performance against your benchmarks, and flags campaigns with declining ROAS, rising CPA, or dropping CTR — with specific recommendations for each.

Traffic analysis and attribution

"Compare my organic vs paid traffic for the last 90 days. Which is growing faster?"

Get a side-by-side comparison with growth trends, conversion rates, and cost efficiency — across Google Analytics, Google Ads, and Meta in one answer.

Budget optimization

"I have $5,000 to allocate this month. Based on current performance, where should I put it?"

The AI analyzes your recent ROAS, CPA, and conversion volume across all platforms and suggests an allocation strategy based on actual data, not guesswork.

Quick daily check-ins

"Give me a morning briefing on yesterday's performance"

Get a daily summary: total spend, conversions, top-performing campaigns, any anomalies — delivered in 10 seconds instead of 30 minutes.

Reporting for stakeholders

"Create a weekly performance summary I can share with my team"

The AI generates a structured summary with key metrics, trends, and highlights — ready to copy into Slack, email, or a presentation.

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Technical Innovation: What Powers the Platform

Multi-model routing for speed and depth

Our platform uses intelligent model routing to match your question to the right AI model:

• Claude 3.5 Haiku handles quick lookups and simple queries with sub-2-second response times. Perfect for "What was yesterday's spend?" or "How many conversions today?"

• Claude Opus tackles complex, multi-step analysis. When you ask "Analyze my full funnel from impression to conversion across all channels and identify the biggest drop-off points," Opus brings the depth needed.

The system automatically suggests the right model, but you can always override it.

Prompt caching for faster repeated queries

Ask similar questions throughout the day? Our prompt caching system stores context about your connected accounts and recent queries, so follow-up questions are faster and more contextual.

• First question: "Show me Meta Ads performance" → full context load
• Follow-up: "Now compare that to last month" → cached context, instant response

Human-in-the-loop design

The AI is powerful, but it's designed to keep you in control:

• Confirmation before actions: The AI explains what data it's about to pull before executing
• Transparent tool calls: See exactly which APIs were called and what data was retrieved
• Override and refine: Not the right data? Tell the AI to adjust the query, change the date range, or look at different metrics

We believe AI should augment your decision-making, not replace it.

Enterprise-grade security

• OAuth-based connections — Your platform credentials are never stored on our servers
• Read-only access — The AI can view your data but cannot modify campaigns, budgets, or settings
• Encrypted data transfer — All API calls are encrypted end-to-end
• No data retention — Query results are not stored after your session ends

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Getting Started With the AI Analytics Platform

Ready to stop drowning in dashboards and start getting instant answers from your data?

How to sign up

1. Create your free account — No credit card required to start
2. Connect your first platform — Google Analytics, Meta Ads, or Google Ads (takes 60 seconds)
3. Ask your first question — Try "Show me an overview of my traffic this week"

What's included

• Connect up to 3 platforms on the free tier
• Unlimited questions with AI Haiku (fast mode)
• 50 deep analysis queries per month with AI Opus
• Full tool execution transparency
• Cross-platform insights

View pricing plans →

Who it's for

• Marketing managers who need quick answers without building reports
• Agency teams managing multiple client accounts
• Small business owners who want marketing insights without hiring an analyst
• Freelancers who need to move fast across multiple platforms

Whether you're running campaigns for a local business or managing enterprise-level ad spend, the platform scales to your needs.

Start your free trial →

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Frequently Asked Questions

What is an AI analytics platform?

An AI analytics platform is a tool that connects to your marketing data sources (like Google Analytics, Meta Ads, and Google Ads) and lets you interact with your data through natural language conversation. Instead of building reports manually, you ask questions in plain English and receive instant, data-driven answers. It combines the power of AI language models with real-time API access to your actual marketing accounts.

How does chatting with analytics data actually work?

When you type a question, the AI interprets your intent, determines which data sources to query, executes the appropriate API calls to your connected platforms, and then analyzes the returned data to give you a clear answer. For example, asking "What's my best-performing campaign?" triggers a live query to your Meta Ads or Google Ads account, pulls current performance data, and returns a ranked analysis with specific metrics and recommendations.

Is my marketing data secure?

Yes. We use OAuth-based authentication so your platform credentials are never stored on our servers. All connections are read-only — the AI can view your analytics and ad data but cannot modify campaigns, budgets, or account settings. Data is encrypted in transit, and query results are not retained after your session. Learn more about our security practices →

What platforms can I connect to the AI analytics tool?

Currently, the platform supports Google Analytics 4, Meta Ads (Facebook and Instagram), and Google Ads. We're actively building integrations for additional platforms including LinkedIn Ads, TikTok Ads, email marketing tools, and CRM systems. Check our features page for the latest integrations →

How is this different from Google Analytics Intelligence or built-in AI features?

Built-in AI features in platforms like GA4 are limited to data within that single platform. Our AI analytics platform provides cross-platform intelligence — you can ask questions that span Google Analytics, Meta Ads, and Google Ads in a single query. Additionally, our platform offers model selection (speed vs depth), tool execution transparency, and actionable recommendations that go beyond simple data retrieval.

Do I need technical skills to use conversational analytics?

No technical skills are required. The entire platform is designed for marketers, not data scientists. You ask questions in plain English — the same way you'd ask a colleague — and the AI handles the technical complexity of querying APIs, processing data, and formatting results. If you can describe what you want to know, the AI can find the answer.