AI and Analysis Guide

This is the “Brain” of PlugZero Analytics. It explains how our machine learning tools work and how to read the results.

📊 1. The Analytics Workbench

This is where you find hard, statistical facts about your data.

Descriptive Stats (The “Averages”)

If you want to know “What is the typical experience?” start here.

Best for: Column with numbers (like Price or Time).
Example: You find that the average delivery time is 45 minutes, but the “spread” is wide—meaning some people wait 10 minutes and others wait 2 hours.

Segmentation (The “Groups”)

Use this to break your data into buckets.

Example: “Do people in New York spend more than people in London?”

🧠 2. Deep Dive (Machine Learning)

These tools don’t just tell you what happened—they tell you why.

Key Driver Analysis

This is our most powerful tool. It finds which factor actually “moves the needle” on your goal.

How it works: Our AI builds hundreds of “decision trees” and tests every variable.
A Real Instance: You might find that Support Speed is 4x more important to your customers than Price.
The Result: You now know that hiring one more support person is better than cutting your prices.

Topic Clustering

If you have 5,000 comments, you can’t read them all. Clustering finds the themes for you.

Example: Our AI might group all your reviews into three buckets: “Billing Problems,” “Product Quality,” and “Shipping Speed.”

🌪️ 3. Sentiment: The “Vibe Check”

Our Sentiment engine reads every single comment and gives it a score from -1.0 (Very Sad) to 1.0 (Very Happy).

Look at the Shift: If your average score drops from 0.8 to 0.2 after a website update, you know your users are frustrated before you even read their words.
Drill Down: You can click on any score to read the actual comments and see exactly why people are feeling that way.

🏆 4. Strategic SWOT Summaries

Our AI can read everything in your project—your numbers, your comments, and your SEO health—and write a professional SWOT Report.

Strengths & Weaknesses: Found from your internal data (like feedback).
Opportunities & Threats: Found by looking at outer trends and your competitor’s health.

Privacy & Safety: We use Enterprise-tier AI models. This means your data is never used to train the global AI models. It stays private to your project.

Next Step: Technical Website Health