Google Ads Basic Performance Analysis

=== AD CREATIVE PERFORMANCE ANALYSIS ===
Campaign: Google Ads Test
Dataset: 4 ads, 179,000 total impressions
Overall: 2.55% average CTR, 2.59% weighted CTR

=== AD PERFORMANCE RANKING ===

Test2: 3.5% CTR
Volume: 48,000 impressions
Lift: +37.3% vs campaign average

Test4: 2.8% CTR
Volume: 44,000 impressions
Lift: +9.8% vs campaign average

Test1: 2.1% CTR
Volume: 52,000 impressions
Lift: -17.6% vs campaign average

Test3: 1.8% CTR
Volume: 35,000 impressions
Lift: -29.4% vs campaign average

=== WINNING CREATIVE ===
Test2: 3.5% CTR
+37.3% vs average
48,000 impressions

=== UNDERPERFORMER ===
Test3: 1.8% CTR
-29.4% vs average
35,000 impressions
ACTION: Pause or refresh

=== RECOMMENDATIONS ===

PRIORITY 1 - IMMEDIATE:

1. ALLOCATE MORE BUDGET to Test2
   Current: 48,000 impressions
   Why: +37.3% performance lift
   Expected: Increase overall CTR by shifting budget here

2. ANALYZE & REPLICATE what works in Test2

   • Review headline/copy approach
   • Examine CTA language
   • Identify image/visual style
   • Create 2-3 variations using same pattern

3. PAUSE OR REFRESH Test3
   Currently: 1.8% CTR (-29.4% vs avg)
   Issue: Dragging down campaign performance
   Action: Either pause or create fresh variation

PRIORITY 2 - THIS WEEK:
4. OPTIMIZE MEDIUM PERFORMERS (Test4, Test1)

• A/B test alternative headlines
• Try different CTAs
• Test Test2’s successful elements

PRIORITY 3 - TEST NEXT:
5. COLLECT MORE DATA on creative patterns

• Add columns: Headline_Type, CTA, Image_Type
• Enable time-series tracking for fatigue detection
• Set up weekly performance monitoring

PROJECTED IMPACT:
Current: 4,634 total clicks, 2.59% weighted CTR
After optimization: +15-25% improvement possible by

• Shifting 50% of budget from Test3 to Test2
• Creating 2-3 variations of Test2’s pattern