Freelancers using SpyFu in Islamabad
Freelancers using SpyFu in Islamabad
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Razia Bano
Islamabad, Pakistan
Lead Generation Specialist | Google Ads
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Lead Generation Specialist | Google Ads
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This account wasn’t just underperforming. It was reporting fake success. I started handling a Google Ads account that had already spent $2,300+ and showed 13 conversions. But here’s the reality: Those weren’t real leads. Every action was being counted as a conversion: 1• Page views 2• Button clicks 3• Form interactions 4• Even basic page activity Everything was marked as a primary conversion. So the account wasn’t just inefficient… It was completely misleading. Here’s what happened after fixing both tracking and performance: Before: 1• Spend: $2,340 2• “Conversions”: 13 (inflated & unreliable) 3• Cost per conversion: meaningless After (last 30 days): 1• Spend: $463 2• Conversions: 19.5 (actual lead actions) 3• Cost per conversion: ~$23 Same account. Same market. No tricks. What changed? 1• Cleaned up conversion tracking (only real lead actions counted) 2• Removed wasteful search terms draining budget 3• Tightened keyword targeting (intent > volume) 4• Restructured campaigns for better control No hacks. Just fixing what should have been done from the start. This was for a fitness-related lead generation campaign, but honestly, this issue is more common than people think. A lot of accounts aren’t failing. They’re just measuring the wrong things.
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lead gen campaign for the account that are underperforming for some months and after applying my techniques here is the results.
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Google Shopping Ads Strategy for E-commerce Brand Mar 2026 – May 2026 Managed a Google Shopping campaign for a clothing brand that was struggling with inefficient ad spend and inconsistent performance before campaign optimization. After restructuring the campaign and optimizing the product feed, targeting, and bidding strategy, the campaign achieved: • 4.42K impressions • 408 clicks • Strong ROAS performance • Efficient management of a 1.26K ad spend Key improvements included: • Product feed optimization • Better product categorization • Audience refinement • Conversion tracking improvements • Budget allocation based on performance data The campaign showed a noticeable improvement in traffic quality, efficiency, and return on ad spend within the first month of optimization.
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