Yes, Dataslayer GPT can explain any metric or dimension from your connected data sources. Get clear definitions, understand calculations, learn differences between similar metrics, and make sense of your marketing data.
Absolutely! One of the most valuable features of Dataslayer GPT is its ability to explain metrics and dimensions from all your connected data sources. Whether you're confused about the difference between two similar metrics, curious about how something is calculated, or just need a refresher on what a specific dimension means, the GPT has you covered.
Think of it as having a data dictionary and marketing analytics expert rolled into one, always ready to clarify any confusion about your data. And the best part? It explains things in plain language, not technical jargon.
Understanding Standard Metrics
Every marketing platform has its own set of standard metrics, and sometimes they can be confusing or seem to overlap. Dataslayer GPT can break down any standard metric from platforms like Google Ads, Facebook Ads, LinkedIn, Google Analytics, and dozens of others.
Want to know exactly what "impressions" means in the context of Facebook Ads versus Google Ads? Curious about how Google Analytics calculates bounce rate? Need clarification on what "conversions" actually includes in your LinkedIn campaigns? Just ask, and you'll get a clear, straightforward explanation.
The GPT understands the nuances and differences across platforms, so it can explain not just what a metric is, but how it might differ slightly from platform to platform.
Demystifying Dimensions
Dimensions are how you slice and dice your data, but they're not always intuitive. Dataslayer GPT can explain any dimension available in your data sources and help you understand how to use them effectively.
You can ask questions like:
What's the difference between campaign name and campaign ID?
or:
What does the device category dimension tell me?
The GPT will explain what each dimension represents and how you might use it in your analysis.
This is especially helpful when you're building reports and trying to decide which dimensions will give you the most meaningful insights.
Breaking Down Custom Metrics
If you've created custom metrics in your marketing platforms or in Dataslayer, the GPT can help explain those too. While it might not automatically know every custom metric you've built, you can describe how it's calculated, and the GPT can help you understand what it's measuring and how to interpret it.
This is particularly useful when you inherit campaigns or accounts from someone else and need to understand the custom tracking they set up.
Comparing Similar Metrics
One of the most confusing aspects of marketing analytics is when different platforms have similar but not identical metrics. What's the difference between "clicks" and "link clicks"? How does "reach" differ from "impressions"? When should you use "sessions" versus "users"?
Dataslayer GPT excels at comparing and contrasting similar metrics, explaining the subtle but important differences between them. This helps you choose the right metrics for your analysis and understand what you're actually measuring.
You can ask direct comparison questions like:
What's the difference between cost per click and cost per link click in Facebook Ads?
and get a clear explanation of both metrics and when to use each one.
Understanding Calculations
For metrics that are calculated from other data points, Dataslayer GPT can explain exactly how they're derived. This transparency helps you understand what's really being measured and whether a metric is appropriate for your analysis.
Ask questions like:
How is CTR calculated?
or:
What goes into the quality score metric in Google Ads?
The GPT will break down the formula and explain each component, so you know exactly what's happening behind the scenes.
This is crucial for understanding the reliability and limitations of calculated metrics.
Platform-Specific Terminology
Every advertising platform has its own terminology and quirks. What Google Ads calls one thing, Facebook might call something completely different. Dataslayer GPT can translate platform-specific jargon and help you navigate these differences.
If you're wondering what "frequency" means in Facebook Ads context, or what Google Analytics means by "engaged sessions", or how LinkedIn defines "social actions", the GPT can provide clear, platform-specific explanations.
This is especially valuable if you're managing campaigns across multiple platforms and need to understand how terminology differs.
Learning About New Metrics
When platforms release new metrics or update existing ones, it can be hard to keep up with what they mean and how to use them. Dataslayer GPT can help you understand these new additions to your analytics toolkit.
You can ask:
What is Google Analytics 4's engagement rate and how is it different from the old bounce rate?
or:
What does Meta's new conversion lift metric measure?
The GPT stays current with marketing platform changes and can explain new features as they roll out.
Contextualizing Metrics for Your Goals
Beyond just defining metrics, Dataslayer GPT can help you understand which metrics matter for your specific goals. If you tell it what you're trying to achieve, it can explain which metrics are most relevant and why.
For example, if you're focused on brand awareness, the GPT can explain why metrics like reach, impressions, and frequency are important. If you're running lead generation campaigns, it can clarify why you should focus on cost per lead and conversion rate over vanity metrics.
This contextual understanding helps you focus on what actually matters for your business objectives.
Interpreting Metric Values
Sometimes you understand what a metric is, but you're not sure if your numbers are good or bad. Dataslayer GPT can help you interpret your metric values by providing context and industry benchmarks.
You can ask:
Is a 2.5% CTR good for Google Search ads?
or:
What's considered a healthy conversion rate for e-commerce Facebook campaigns?
The GPT can provide guidance on typical ranges and help you understand how your performance compares.
While it's not a replacement for detailed competitive analysis, it gives you a quick gut-check on whether your metrics are in the right ballpark.
Understanding Dimensions for Segmentation
Knowing what dimensions are available is one thing, but understanding how to use them strategically for segmentation is another. Dataslayer GPT can guide you on which dimensions to use when you want to analyze your data in specific ways.
Ask:
Which dimensions should I use to analyze mobile versus desktop performance?
or:
How can I segment my data by geography?
The GPT will explain which dimensions to apply and how they'll slice your data.
Getting Definitions in Context
The real power comes when you're looking at your actual data and need clarification. You can ask about metrics in the context of the data you're viewing. For instance:
I'm seeing a high number for 'video views' but low 'engagement'. Can you explain both of these metrics and why they might differ?
The GPT can provide definitions that directly relate to what you're seeing in your reports, making the explanations more actionable and relevant.
Building Your Analytics Knowledge
Using Dataslayer GPT to explain metrics and dimensions isn't just about getting quick answers. It's also a learning tool that helps you build your marketing analytics knowledge over time.
As you ask questions and get explanations, you develop a deeper understanding of how marketing platforms measure performance. This makes you more confident in your analysis and better equipped to make data-driven decisions.
Confused about any metric or dimension in your marketing data? Just ask Dataslayer GPT. Whether it's a standard metric, a custom calculation, or platform-specific terminology, we'll break it down in simple terms you can understand.