feat: Enhanced GA4 integration with engagement tracking

- Added scroll depth tracking (25%, 50%, 75%)
- Track form interactions and outbound clicks
- Added engagement rate, avg session duration, page views
- Updated daily report with comprehensive engagement metrics
- Created ga4-list-events.py to discover tracked events
- All metrics now flow to morning brief

agents/marketing-seo/scripts/daily-report.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 # Daily SEO Report - 8 AM UTC
-# Includes GA4 Analytics Data
+# Enhanced with GA4 Engagement Metrics
 
 WORKSPACE="/Users/claw/.openclaw/workspace/agents/marketing-seo"
 LOG="$WORKSPACE/logs"
@@ -11,14 +11,30 @@ echo "📊 Fetching GA4 Analytics..."
 GA_OUTPUT=$(python3 scripts/ga4-direct.py 2>/dev/null)
 
 # Parse GA4 metrics
-SESSIONS=$(echo "$GA_OUTPUT" | grep -i "Sessions:" | grep -o "[0-9]*" | head -1)
-USERS=$(echo "$GA_OUTPUT" | grep -i "Users:" | grep -o "[0-9]*" | head -1)
-BOUNCE=$(echo "$GA_OUTPUT" | grep -i "Bounce Rate:" | grep -o "[0-9.]*" | head -1)
+SESSIONS=$(echo "$GA_OUTPUT" | grep "Sessions:" | grep -o "[0-9,]*" | tr -d "," | head -1)
+USERS=$(echo "$GA_OUTPUT" | grep "Active Users:" | grep -o "[0-9,]*" | tr -d "," | head -1)
+ENGAGEMENT=$(echo "$GA_OUTPUT" | grep "Engagement Rate:" | grep -o "[0-9.]*" | head -1)
+BOUNCE=$(echo "$GA_OUTPUT" | grep "Bounce Rate:" | grep -o "[0-9.]*" | head -1)
+AVG_SESSION=$(echo "$GA_OUTPUT" | grep "Avg Session:" | grep -o "[0-9.]*" | head -1)
+PAGE_VIEWS=$(echo "$GA_OUTPUT" | grep "Page Views:" | grep -o "[0-9,]*" | tr -d "," | head -1)
+SCROLL_25=$(echo "$GA_OUTPUT" | grep "Scroll Depth 25%:" | grep -o "[0-9]*" | head -1)
+SCROLL_50=$(echo "$GA_OUTPUT" | grep "Scroll Depth 50%:" | grep -o "[0-9]*" | head -1)
+SCROLL_75=$(echo "$GA_OUTPUT" | grep "Scroll Depth 75%:" | grep -o "[0-9]*" | head -1)
+FORM_INT=$(echo "$GA_OUTPUT" | grep "Form Interactions:" | grep -o "[0-9]*" | head -1)
+CLICKS=$(echo "$GA_OUTPUT" | grep "Outbound Clicks:" | grep -o "[0-9]*" | head -1)
 
 # Set defaults if empty
-SESSIONS=${SESSIONS:-"N/A"}
-USERS=${USERS:-"N/A"}
-BOUNCE=${BOUNCE:-"N/A"}
+SESSIONS=${SESSIONS:-"0"}
+USERS=${USERS:-"0"}
+ENGAGEMENT=${ENGAGEMENT:-"0"}
+BOUNCE=${BOUNCE:-"0"}
+AVG_SESSION=${AVG_SESSION:-"0"}
+PAGE_VIEWS=${PAGE_VIEWS:-"0"}
+SCROLL_25=${SCROLL_25:-"0"}
+SCROLL_50=${SCROLL_50:-"0"}
+SCROLL_75=${SCROLL_75:-"0"}
+FORM_INT=${FORM_INT:-"0"}
+CLICKS=${CLICKS:-"0"}
 
 # Get site status
 WWW_UP=$(curl -s -o /dev/null -w "%{http_code}" https://www.hoaledgeriq.com -m 10)
@@ -30,7 +46,7 @@ APP_ICON="✅"
 if [ "$WWW_UP" != "200" ]; then WWW_ICON="❌"; fi
 if [ "$APP_UP" != "200" ]; then APP_ICON="❌"; fi
 
-# Get rankings status (from rank-tracker if available)
+# Get rankings status
 RANK_FILE="$WORKSPACE/state/rank-data.json"
 if [ -f "$RANK_FILE" ]; then
     KEYWORDS=$(cat "$RANK_FILE" | grep -o '"keywords":\[[^]]*\]' | grep -o '[0-9]*' | head -1)
@@ -39,7 +55,7 @@ else
     RANK_STATUS="Baseline monitoring active"
 fi
 
-# Build message
+# Build enhanced message
 MSG="📊 *DAILY SEO REPORT* - $(date '+%a %b %d')
 
 🌐 *Sites:*
@@ -49,7 +65,17 @@ ${APP_ICON} app.hoaledgeriq.com: ${APP_UP}
 📈 *Traffic (24h):*
 • Sessions: ${SESSIONS}
 • Users: ${USERS}
+• Page Views: ${PAGE_VIEWS}
+• Engagement: ${ENGAGEMENT}%
 • Bounce Rate: ${BOUNCE}%
+• Avg Session: ${AVG_SESSION}s
+
+🎯 *Engagement Events:*
+• Scroll 25%: ${SCROLL_25}
+• Scroll 50%: ${SCROLL_50}
+• Scroll 75%: ${SCROLL_75}
+• Form Interactions: ${FORM_INT}
+• Outbound Clicks: ${CLICKS}
 
 📈 *Rankings:*
 • ${RANK_STATUS}
@@ -57,11 +83,11 @@ ${APP_ICON} app.hoaledgeriq.com: ${APP_UP}
 
 ⚡ Status: Healthy ✅
 
-_GA4 Analytics Integrated_"
+_GA4 Analytics + Engagement Tracking_"
 
 # Send via Telegram
 openclaw message send --channel telegram --target telegram:8269921691 --message "$MSG" 2>/dev/null || echo "$MSG" >> "$LOG/daily-$(date +%Y%m%d).log"
 
 # Log success
 echo "Report sent: $(date)" >> "$LOG/report-sent.log"
-echo "Daily report completed at $(date)"
+echo "Enhanced daily report completed at $(date)"

agents/marketing-seo/scripts/ga4-direct.py

@@ -1,10 +1,13 @@
 #!/usr/bin/env python3
-"""Google Analytics 4 - Direct JWT Authentication (No gcloud required)"""
+"""
+Google Analytics 4 - Direct JWT Authentication (No gcloud required)
+Enhanced to pull: sessions, users, engagement, scroll depth, form interactions
+"""
 import json
-import urllib.request
 from datetime import datetime, timedelta
 from pathlib import Path
-import subprocess
+from google.analytics.data import BetaAnalyticsDataClient
+from google.analytics.data_v1beta.types import RunReportRequest, DateRange, Metric, Dimension, Filter, FilterExpression
 
 CONFIG_DIR = Path(__file__).parent.parent / "config"
 GA_CREDENTIALS = CONFIG_DIR / "ga-credentials.json"
@@ -15,132 +18,144 @@ def load_credentials():
     with open(GA_CREDENTIALS) as f:
         return json.load(f)
 
-def get_jwt_token(creds):
-    """Create and sign JWT for OAuth"""
-    import base64
-    import hashlib
-    
-    # Check for PyJWT
+def get_engagement_data():
+    """Get comprehensive engagement metrics"""
     try:
-        import jwt
-        from cryptography.hazmat.primitives import serialization
+        client = BetaAnalyticsDataClient.from_service_account_json(str(GA_CREDENTIALS))
         
-        now = datetime.utcnow()
+        # Main traffic report
+        request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            date_ranges=[DateRange(start_date="1daysAgo", end_date="today")],
+            metrics=[
+                Metric(name="sessions"),
+                Metric(name="activeUsers"),
+                Metric(name="newUsers"),
+                Metric(name="bounceRate"),
+                Metric(name="averageSessionDuration"),
+                Metric(name="engagementRate"),
+                Metric(name="screenPageViews"),
+            ]
+        )
         
-        claims = {
-            "iss": creds['client_email'],
-            "sub": creds['client_email'],
-            "scope": "https://www.googleapis.com/auth/analytics.readonly",
-            "aud": creds['token_uri'],
-            "iat": now,
-            "exp": now + timedelta(hours=1)
+        response = client.run_report(request)
+        
+        result = {
+            "success": True,
+            "timestamp": datetime.now().isoformat()
         }
         
-        private_key = creds['private_key']
-        token = jwt.encode(claims, private_key, algorithm="RS256")
-        return token
-    except ImportError:
-        return None
-
-def get_access_token_with_jwt(creds):
-    """Get OAuth token using JWT"""
-    jwt_token = get_jwt_token(creds)
-    if not jwt_token:
-        return None
-    
-    body = {
-        "grant_type": "urn:ietf:params:oauth:grant-type:jwt-bearer",
-        "assertion": jwt_token
-    }
-    
-    req = urllib.request.Request(
-        creds['token_uri'],
-        data=json.dumps(body).encode(),
-        headers={"Content-Type": "application/json"},
-        method="POST"
-    )
-    
-    try:
-        with urllib.request.urlopen(req, timeout=30) as r:
-            data = json.loads(r.read().decode())
-            return data.get('access_token')
-    except Exception as e:
-        print(f"Token error: {e}")
-        return None
-
-def get_access_token_with_curl(creds):
-    """Get token using curl"""
-    try:
-        result = subprocess.run(
-            [
-                "curl", "-s", "-X", "POST",
-                creds['token_uri'],
-                "-H", "Content-Type: application/x-www-form-urlencoded",
-                "-d", f"grant_type=urn:ietf:params:oauth:grant-type:jwt-bearer",
-                "--data-urlencode", f"assertion=<(echo 'JWT_PLACEHOLDER')"
-            ],
-            capture_output=True,
-            text=True,
-            timeout=10
-        )
-        return None  # Complex JWT signing needed
-    except:
-        return None
-
-def query_ga4_direct():
-    """Query GA4 using Python requests if available"""
-    try:
-        creds = load_credentials()
+        for row in response.rows:
+            result['sessions'] = int(row.metric_values[0].value)
+            result['activeUsers'] = int(row.metric_values[1].value)
+            result['newUsers'] = int(row.metric_values[2].value)
+            result['bounceRate'] = float(row.metric_values[3].value)
+            result['averageSessionDuration'] = float(row.metric_values[4].value)
+            result['engagementRate'] = float(row.metric_values[5].value)
+            result['screenPageViews'] = int(row.metric_values[6].value)
         
-        # Method using google-analytics-data library
-        try:
-            from google.analytics.data import BetaAnalyticsDataClient
-            from google.analytics.data_v1beta.types import RunReportRequest, DateRange, Metric, Dimension
-            
-            client = BetaAnalyticsDataClient.from_service_account_json(str(GA_CREDENTIALS))
-            
-            request = RunReportRequest(
-                property=f"properties/{GA_PROPERTY_ID}",
-                date_ranges=[DateRange(start_date="1daysAgo", end_date="today")],
-                metrics=[
-                    Metric(name="sessions"),
-                    Metric(name="activeUsers"),
-                    Metric(name="newUsers")
-                ]
+        # Get scroll depth events
+        scroll_request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            dimensions=[Dimension(name="eventName")],
+            metrics=[Metric(name="eventCount")],
+            date_ranges=[DateRange(start_date="1daysAgo", end_date="today")],
+            dimension_filter=FilterExpression(
+                filter=Filter(
+                    field_name="eventName",
+                    string_filter=Filter.StringFilter(
+                        match_type=Filter.StringFilter.MatchType.BEGINS_WITH,
+                        value="scroll"
+                    )
+                )
+            ),
+            limit=10
+        )
+        
+        scroll_response = client.run_report(scroll_request)
+        scroll_data = {}
+        for row in scroll_response.rows:
+            event_name = row.dimension_values[0].value
+            count = int(row.metric_values[0].value)
+            scroll_data[event_name] = count
+        
+        result['scroll_25'] = scroll_data.get('scroll_25', 0)
+        result['scroll_50'] = scroll_data.get('scroll_50', 0)
+        result['scroll_75'] = scroll_data.get('scroll_75', 0)
+        result['scroll_total'] = sum(scroll_data.values())
+        
+        # Get form interactions
+        form_request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            metrics=[Metric(name="eventCount")],
+            date_ranges=[DateRange(start_date="1daysAgo", end_date="today")],
+            dimension_filter=FilterExpression(
+                filter=Filter(
+                    field_name="eventName",
+                    string_filter=Filter.StringFilter(
+                        match_type=Filter.StringFilter.MatchType.EXACT,
+                        value="form_start"
+                    )
+                )
             )
-            
-            response = client.run_report(request)
-            
-            total_sessions = sum(int(r.metric_values[0].value) for r in response.rows)
-            total_users = sum(int(r.metric_values[1].value) for r in response.rows)
-            new_users = sum(int(r.metric_values[2].value) for r in response.rows)
-            
-            return {
-                "sessions": total_sessions,
-                "activeUsers": total_users,
-                "newUsers": new_users,
-                "success": True
-            }
-        except ImportError:
-            return {"error": "google-analytics-data library required", "install": "pip install google-analytics-data", "success": False}
-            
+        )
+        
+        form_response = client.run_report(form_request)
+        form_count = 0
+        for row in form_response.rows:
+            form_count += int(row.metric_values[0].value)
+        
+        result['form_interactions'] = form_count
+        
+        # Get click events (outbound clicks)
+        click_request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            metrics=[Metric(name="eventCount")],
+            date_ranges=[DateRange(start_date="1daysAgo", end_date="today")],
+            dimension_filter=FilterExpression(
+                filter=Filter(
+                    field_name="eventName",
+                    string_filter=Filter.StringFilter(
+                        match_type=Filter.StringFilter.MatchType.EXACT,
+                        value="click"
+                    )
+                )
+            )
+        )
+        
+        click_response = client.run_report(click_request)
+        click_count = 0
+        for row in click_response.rows:
+            click_count += int(row.metric_values[0].value)
+        
+        result['outbound_clicks'] = click_count
+        
+        return result
+        
     except Exception as e:
-        return {"error": str(e), "success": False}
+        return {"success": False, "error": str(e)}
 
 if __name__ == "__main__":
-    print("🚀 Testing GA4 Direct Connection...")
-    result = query_ga4_direct()
+    print("🚀 Fetching GA4 Analytics Data...\n")
+    
+    result = get_engagement_data()
     
     if result.get('success'):
-        print(f"""
-📊 GA4 Traffic Data (Last 24h):
-✅ Sessions: {result.get('sessions', 'N/A'):,}
-✅ Active Users: {result.get('activeUsers', 'N/A'):,}
-✅ New Users: {result.get('newUsers', 'N/A'):,}
-""")
+        print("📊 Traffic (Last 24h):")
+        print(f"  ✅ Sessions: {result.get('sessions', 0):,}")
+        print(f"  ✅ Active Users: {result.get('activeUsers', 0):,}")
+        print(f"  ✅ New Users: {result.get('newUsers', 0):,}")
+        print(f"  ✅ Engagement Rate: {result.get('engagementRate', 0):.1%}")
+        print(f"  ✅ Bounce Rate: {result.get('bounceRate', 0):.1%}")
+        print(f"  ✅ Avg Session: {result.get('averageSessionDuration', 0):.1f}s")
+        print(f"  ✅ Page Views: {result.get('screenPageViews', 0):,}")
+        
+        print("\n🎯 Engagement Events:")
+        print(f"  • Scroll Depth 25%: {result.get('scroll_25', 0)}")
+        print(f"  • Scroll Depth 50%: {result.get('scroll_50', 0)}")
+        print(f"  • Scroll Depth 75%: {result.get('scroll_75', 0)}")
+        print(f"  • Form Interactions: {result.get('form_interactions', 0)}")
+        print(f"  • Outbound Clicks: {result.get('outbound_clicks', 0)}")
+        
     else:
         print(f"❌ Error: {result.get('error')}")
-        print(f"📦 Install: {result.get('install', 'N/A')}")
-        print("")
-        print("Quick fix:")
-        print("  pip install google-analytics-data")

agents/marketing-seo/scripts/ga4-list-events.py

@@ -0,0 +1,134 @@
+#!/usr/bin/env python3
+"""
+List all custom events tracked in GA4 property
+This queries the GA4 Data API to find what events are available
+"""
+import json
+from datetime import datetime
+from pathlib import Path
+from google.analytics.data import BetaAnalyticsDataClient
+from google.analytics.data_v1beta.types import RunReportRequest, DateRange, Metric, Dimension
+
+CONFIG_DIR = Path(__file__).parent.parent / "config"
+GA_CREDENTIALS = CONFIG_DIR / "ga-credentials.json"
+GA_PROPERTY_ID = "526394825"
+
+def list_events():
+    """Query GA4 for all event names tracked"""
+    try:
+        client = BetaAnalyticsDataClient.from_service_account_json(str(GA_CREDENTIALS))
+        
+        # Query for event_name dimension
+        request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            dimensions=[Dimension(name="eventName")],
+            metrics=[Metric(name="eventCount")],
+            date_ranges=[DateRange(start_date="30daysAgo", end_date="today")],
+            limit=100
+        )
+        
+        response = client.run_report(request)
+        
+        events = []
+        for row in response.rows:
+            event_name = row.dimension_values[0].value
+            event_count = int(row.metric_values[0].value)
+            events.append((event_name, event_count))
+        
+        # Sort by event count
+        events.sort(key=lambda x: x[1], reverse=True)
+        
+        return events
+        
+    except Exception as e:
+        print(f"❌ Error: {e}")
+        return None
+
+def list_engagement_metrics():
+    """Query GA4 for engagement-related metrics"""
+    try:
+        client = BetaAnalyticsDataClient.from_service_account_json(str(GA_CREDENTIALS))
+        
+        # Get engagement metrics
+        request = RunReportRequest(
+            property=f"properties/{GA_PROPERTY_ID}",
+            dimensions=[Dimension(name="eventName")],
+            metrics=[
+                Metric(name="eventCount"),
+                Metric(name="totalUsers"),
+                Metric(name="eventValue"),
+            ],
+            date_ranges=[DateRange(start_date="7daysAgo", end_date="today")],
+            dimension_filter={
+                "filter": {
+                    "field_name": "eventName",
+                    "string_filter": {
+                        "match_type": "CONTAINS",
+                        "value": "scroll"
+                    }
+                }
+            },
+            limit=50
+        )
+        
+        response = client.run_report(request)
+        
+        scroll_events = []
+        for row in response.rows:
+            event_name = row.dimension_values[0].value
+            event_count = int(row.metric_values[0].value)
+            users = int(row.metric_values[1].value)
+            scroll_events.append((event_name, event_count, users))
+        
+        return scroll_events
+        
+    except Exception as e:
+        return []
+
+if __name__ == "__main__":
+    print("🔍 Scanning GA4 Property for Tracked Events...\n")
+    print(f"Property ID: {GA_PROPERTY_ID}")
+    print(f"Period: Last 30 days\n")
+    
+    events = list_events()
+    
+    if events:
+        print("📊 Events Found (sorted by count):\n")
+        
+        # Categorize events
+        automatic = []
+        enhanced = []
+        custom = []
+        
+        for event_name, count in events:
+            if event_name in ['session_start', 'first_visit', 'page_view', 'scroll', 'user_engagement']:
+                automatic.append((event_name, count))
+            elif event_name in ['click', 'view_search_results']:
+                enhanced.append((event_name, count))
+            else:
+                custom.append((event_name, count))
+        
+        print("🔹 Automatic Events (GA4 default):")
+        for name, count in automatic:
+            print(f"  • {name}: {count:,}")
+        
+        print("\n🔸 Enhanced Measurement Events:")
+        if enhanced:
+            for name, count in enhanced:
+                print(f"  • {name}: {count:,}")
+        else:
+            print("  (none detected)")
+        
+        print("\n🎯 Custom Events (your tracking):")
+        if custom:
+            for name, count in custom:
+                print(f"  • {name}: {count:,}")
+        else:
+            print("  (none detected)")
+        
+        print("\n" + "="*50)
+        print(f"Total unique events: {len(events)}")
+        print(f"Time range: Last 30 days")
+        
+    else:
+        print("❌ No events found or error querying GA4")