How I Spent ₹40,000 on Google Ads: Campaign Performance, Keyword Insights & Location Analytic

Google Ads tutorial

Running a Google Ads campaign is more than just launching ads—it’s about understanding data, optimizing strategies, and generating meaningful leads. Here’s a transparent look into my recent campaign where I invested ₹40,000 across Search and Performance Max campaigns, targeting app development leads in the United States. Campaign Breakdown Budget Used: ₹40,000Campaign Types: Search Campaign Results (May 3 – June 1, 2025) Metric Value Clicks 117 Impressions 1,490 Avg. CPC ₹141 Total Spend ₹16,500 Raw Leads 34 Geographic Targeting The campaign was geo-targeted entirely to the United States, with most interactions coming from California. This aligns perfectly with our intent to reach high-potential startup hubs and tech-savvy regions. Keyword Performance Keyword Cost (₹) Clicks CTR ios and android app development 7,279.32 54 6.89% ios app development 5,588.16 39 10.29% ios game development 1,463.53 9 15.00% build ios app 1,343.11 11 6.01% ios app developers 604.96 3 6.98% 🔍 Observations: Lead Funnel Status (Search Campaign) Stage Count Interactions 117 Raw Leads 34 Qualified Leads 0 Converted Leads 0 Despite a decent raw lead volume, no leads progressed to a qualified or converted stage, which highlights a gap in lead nurturing and follow-up. Key Learnings & Recommendations Performance Max Campaign Report Campaign Duration: May 4 – June 2, 2025Total Budget Spent: ₹17,600 Overall Campaign Metrics Metric Value Clicks 123 Impressions 1,470 Average CPC ₹143 Raw Leads 24 Qualified Leads 0 Converted Leads 0 Lead Funnel Interactions 123 Geographic Performance Location (State) Number of Clicks California 34 Florida 9 New York 9 Texas 7 Pennsylvania 7 Virginia 7 Illinois 6 Arizona 4 Silicon Valley 4 This structured data highlights strong geographic traction in California, followed by key urban states like Florida and New York. While the campaign generated solid click volume, improvements are needed in lead qualification and conversion optimization in future runs. Final Thoughts Spending ₹40,000 on Google Ads gave us valuable data, 56 raw leads across both campaigns, and actionable insights. To improve results: This campaign proved that even if you’re not converting leads yet, the data can point you in the right direction. With tweaks to follow-up and qualification, we expect stronger results in the next cycle.