Can Dataslayer MCP explain metrics and dimensions from my data sources?

Get instant explanations of any marketing metric or dimension. Understand what data means, when to use it, and how to interpret results across Google Ads, Meta, GA4, and more.

Yes! Dataslayer MCP acts as your personal marketing data dictionary, providing clear explanations of metrics, dimensions, and how they work across different platforms. Instead of searching through documentation or guessing what a metric means, simply ask your AI assistant and get immediate, contextual answers.

Whether you're trying to understand the difference between "Clicks" and "Link Clicks" in Meta Ads, or wondering when to use "Sessions" vs "Users" in GA4, MCP can explain it in plain language.

How It Works

You ask about a metric or dimension: Ask any question about data fields available in your connected sources.
The AI provides context-aware explanations: The assistant explains what the metric measures, how it's calculated, and provides context specific to the platform you're working with.
You get actionable guidance: Beyond definitions, the AI suggests when to use certain metrics, which dimensions pair well together, and how to interpret results.

What You Can Ask About

Dataslayer MCP can help you understand metrics and dimensions from your connected data sources:

Metric definitions:

"What does 'Impression Share' mean in Google Ads?"
"How is CTR calculated?"

Dimension explanations:

"What's the difference between 'Campaign Name' and 'Campaign ID' in Meta Ads?"

Platform-specific terminology:

"What's the difference between 'Conversions' in Google Ads and 'Conversions' in GA4?"

Metric relationships:

"Which metrics should I look at together to understand campaign profitability?"

Best practices:

"When should I use 'Unique Clicks' vs 'Total Clicks' in Meta Ads?"

Understanding Cross-Platform Differences

One of MCP's most valuable features is explaining how the same concept differs across platforms:

Example: "Conversions" across platforms

The AI explains:

Google Ads: Based on Google's click attribution and your conversion windows
Meta Ads: Uses Meta's pixel and attribution settings, includes view-through conversions
GA4: Event-based, uses GA4's attribution model and cross-device tracking

Each platform measures differently, which affects how you compare performance.

Example: "Reach" vs "Impressions" in Meta Ads

The AI clarifies:

Reach: Number of unique users who saw your ad at least once
Impressions: Total number of times your ad was displayed (includes repeat views)

If Impressions are much higher than Reach, the same people are seeing your ads multiple times.

Best Practices for Getting Explanations

Be specific about context: "In Google Ads, what does 'Search Lost IS (Budget)' mean, and how should I use it to optimize my campaigns?" Instead of just: "What is Search Lost IS?"
Ask about comparisons: "What's the difference between 'Engaged Sessions' and 'Sessions' in GA4, and when should I use each one?"
Request practical guidance: "What does ROAS mean, and what's considered a good ROAS for e-commerce campaigns?"

Why This Matters

Understanding your metrics and dimensions properly is crucial for making good marketing decisions:

Avoid misinterpretation: Prevent costly mistakes from misunderstanding what a metric actually measures
Choose the right metrics: Select metrics that align with your business goals
Optimize effectively: Know which metrics to improve and how they relate to each other
Communicate clearly: Explain data to stakeholders accurately using the right terminology