The Challenge
Confiz, a global tech consultancy, was managing enterprise-level ad spend but struggling with "lead leakage." Their Google Ads campaigns were generating high volume, but the quality was inconsistent, leading to a bloated sales cycle and wasted marketing budget.
The primary issue was a reliance on broad-match keywords that attracted job seekers and small-scale inquiries rather than the Fortune 500 decision-makers they needed to reach.
The Strategy
We transitioned the account from a volume-based approach to a high-granularity, intent-driven engine. This involved a complete architectural overhaul of the ad accounts, focusing on "Problem-Aware" search terms that indicated a high likelihood of enterprise-scale needs.
The Execution
Our team implemented a three-pronged execution plan:
- Negative Keyword Pruning: We analyzed 12 months of search term data to identify and block over 2,500 non-converting terms, immediately saving 40% of the daily spend.
- Landing Page UX: We revamped the core destination pages, optimizing for both SEO and conversion speed, ensuring that high-intent traffic was met with a frictionless path to inquiry.
- Intent-Based Creative: We A/B tested ad copy to speak directly to the technical and strategic pain points of CTOs and VPs of Engineering.
The Playbook
Semantic Pruning
Identified and blocked 2,500+ non-converting search terms, immediately recovering 40% of the daily budget for reallocation to high-intent clusters.
Intent-UX Mapping
Redesigned core destination pages to align with specific B2B search intents (Problem-Aware vs. Solution-Aware), reducing bounce rates by 34%.
Ad Resonance Testing
Executed 50+ A/B tests on ad copy, specifically targeting CTO and VP Engineering pain points, resulting in a 2x lift in CTR.
Verification
This engagement is documented and verified via internal performance records and the client's official digital presence.