Keyword Search Google Ads Campaign Report

Branded Campaign Performance: xanalytix.com

Campaign Date Range: November 27, 2025 - January 27, 2026

Total Impressions
1,113,419
62-day campaign
Ad Clicks
12,747
1.14% CTR overall
Ad Spend
$5,186
$0.41 avg CPC
Returning Visitors
4,561
35.8% of total users
Ad Clicks
Daily Ad Spend
Budget Increase (Jan 9)

analytics Detailed Analysis

trending_up Campaign Performance Trends
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eventInitial Low Activity Period (Nov 27 - Jan 8)

The campaign's first 43 days showed modest performance with daily clicks averaging 65 and ad spend around $15 per day. This baseline period established consistent but limited traffic to the xanalytix.com website, with returning visitor rates around 30% indicating moderate user retention.

rocket_launchDramatic Budget Scale-Up (Jan 9 onwards)

Starting January 9, 2026, the campaign underwent a significant transformation with daily ad spend increasing from approximately $27 to over $200. This 7.4x budget increase drove clicks from 73 to 485 users in one day, representing a 6.6x surge. Peak performance occurred on January 17 with 856 clicks and $352 in daily spend.

speedRecent Momentum Decline (Jan 20-27)

Following the peak period, activity has stabilized at a lower level with daily clicks averaging 402 during the last week. This represents a 47% decrease from peak performance but remains significantly higher than the initial baseline period. Ad spend has also normalized to around $157 per day.

paid Cost Efficiency Analysis
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attach_moneyCost Per Click Performance

The campaign maintains a consistent average cost per click of $0.41 across the entire period. Notably, the baseline period showed slightly lower CPC ($0.32) compared to the scale-up period ($0.42), suggesting increased competition or broader targeting during high-budget days. The overall CTR of 1.14% demonstrates effective ad relevance and targeting.

show_chartBudget-to-Performance Correlation

The data reveals a strong linear relationship between daily ad spend and click volume. During the scale-up period (Jan 9-19), each additional dollar in ad spend generated approximately 2.5 clicks on average. The campaign demonstrated excellent scalability, with higher budgets maintaining efficient cost per acquisition without significant diminishing returns.

bar_chartImpression Volume Analysis

Total campaign impressions exceeded 1.1 million, with the majority (698,000 impressions, 63%) occurring during the 11-day scale-up period. This concentration indicates that increased budgets successfully expanded reach while maintaining ad quality. The campaign achieved peak daily impressions of 69,813 on January 21, demonstrating strong market penetration potential.

people User Engagement Patterns
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replayReturning Visitor Trends

The campaign successfully drove 4,561 returning visitors, representing 35.8% of total traffic. This return rate increased significantly during the scale-up period, with peak days showing 40% returning visitor rates. On January 17, the campaign achieved 342 returning visitors out of 856 total users, indicating strong content relevance and initial user satisfaction.

scheduleSession Quality Metrics

Average session duration improved from 86 seconds during the baseline period to 188 seconds during peak performance (Jan 16), representing a 119% increase in engagement time. The bounce rate decreased from 65% to 45% during high-traffic periods, suggesting that increased budget attracted more qualified users who engaged more deeply with the xanalytix.com website content.

mouseEvent Activity Analysis

Total event counts reached 67,112 across the campaign period, with events per user averaging 5.3. During peak performance days (Jan 14-18), event counts per user increased to 6.0-6.7, indicating higher quality engagement. This suggests that scaled-up advertising not only drove more traffic but attracted users with stronger intent and engagement potential.

lightbulb Strategic Recommendations
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trending_up1. Optimize Budget Allocation Based on Peak Performance Windows

Increase daily ad spend on specific dates where historical data shows high conversion efficiency. The January 9-19 period demonstrated that budgets between $200-$350 per day achieved optimal performance with CTRs exceeding 1.2% and strong returning visitor rates above 35%. Consider implementing dayparting strategies to concentrate spend during hours that historically drive the highest engagement rates and lowest bounce rates.

psychology2. Analyze and Replicate High-Performing Creative Elements

Conduct a deep analysis of ad creatives, targeting parameters, and keyword bids used during the January 14-17 peak period when the campaign achieved 713-856 daily clicks with strong engagement metrics (session duration 176-201 seconds, bounce rate 44-47%). Identify which specific ad variations, audience segments, and keyword combinations drove this performance, then create similar campaigns to sustain momentum. Consider A/B testing refined versions of these high-performing elements.

insights3. Develop Retention Strategy for Declining Momentum

Address the 47% decline in daily clicks from peak (856) to current levels (350) by implementing remarketing campaigns specifically targeting the 4,561 returning visitors. Create tailored ad messaging for users who visited during the high-activity period but haven't returned recently. Additionally, establish automated performance alerts to flag when daily clicks drop below 500 or when CPC exceeds $0.45, enabling rapid response to prevent extended performance degradation.