💡 Why Use Google Analyst

Google Analyst gives you quick, clear summaries of your website performance based on Google Analytics 4 (GA4).

It focuses on the most important metrics — like sessions, new users, bounce rate — so you can see at a glance how your site is performing without digging through GA’s dashboard.

👉 How the Template Works

Google Analyst is an agent that connects to your Google Analytics property with your own service-account credentials. It understands natural-language requests such as “last week’s traffic”, converts relative dates into exact ranges, calls the official Analytics Data API, and returns a neatly formatted report that includes:

• Overview

• Key metrics (sessions, users, bounce rate, engagement time, and more)

• Trends and insights

• Optional recommendations

All you have to do is chat with the agent; no SQL, dashboards, or spreadsheets required.

🎯 Steps to Use

1. Confirm you have a Google Analytics 4 property

• Sign in at https://analytics.google.com.

• Make sure a Google Analytics property is listed for your website and note its numeric Property ID (e.g. 1234567890).

2. Create a service account on Google Cloud

1. Go to https://console.cloud.google.com and select (or create) a project.

2. Open IAM & Admin ▸ Service Accounts.

3. Click Create service account → name it ga-bika-service → assign role Viewer → Done.

4. In that account, open Keys ▸ Add key ▸ JSON → download service-account.json.

5. Open the JSON file and copy the two fields you will need later:

   Copy

   client_email → ga-service@demo-project.iam.gserviceaccount.com
   private_key  → -----BEGIN PRIVATE KEY-----\nABC...XYZ\n-----END PRIVATE KEY-----
   

6. Enable the Analytics Data API

• Google Cloud Console ▸ APIs & Services ▸ Library.

• Search Analytics Data API ➜

  • If the button says Enable, click it.

  • If the button says Manage, the API is already enabled.

3. Grant the service account Viewer access inside Google Analytics

1. Back in https://analytics.google.com click the gear Admin.

2. Under the centre Property column choose Property Access Management.

3. Click ＋ Add users → paste the client_email from step 2-3 → Viewer → Add.

4. If you did not record the numeric Property ID earlier, copy it now (e.g. 1234567890).

4. Connect the agent in Bika.ai

1. In Bika.ai, search @toolsdk.ai/mcp-server-google-analytics and open its settings.

2. Paste the three values:

   Copy

   GOOGLE_ANALYTICS_PROPERTY_ID = 1234567890
   
   GOOGLE_CLIENT_EMAIL          = ga-service@demo-project.iam.gserviceaccount.com
   
   GOOGLE_PRIVATE_KEY           = -----BEGIN PRIVATE KEY----- ... -----END PRIVATE KEY-----
   

3. Toggle get_report and get_realtime_data to ON.

4. Click Connect.

5. Start chatting

Ask things like:

“How was the new users in July 2025?”
“What was the engagement rate and pageviews last week?”
“Show me yesterday’s sessions and bounce rate.”

👉 Supported Metrics

• Sessions
• New Users
• Active Users
• Bounce Rate
• Avg Session Duration
• Engagement Rate
• Pageviews
• Views per Session
• Conversions
• Event Count

👉 Suitable Users

• Website owners who want quick traffic snapshots every day. • Marketing or product teams that need plain-English GA4 insights. • Anyone comfortable creating a Google Cloud project but not keen on coding dashboards.