Performance Max Campaign
This business experienced a 43% increase in conversion rates on its Performance Max campaign over an 8-month period with the help of Admoon

Oct 2024 - May 2025
Time periodPakistan
LocationAED 18,197.39
Total ad spend0.17 AED
Average cost per click9.95%
Click-Through Rate1.86 AED
Cost Per Action9770
Total conversions6.76%
Conversion Rate19 %
Increase26%
Increase33%
DecreaseThis Pakistani-based online perfume shop offers a range of scents to customers around the country through the fusion of quality products and convenience offered by online shopping. Striving to increase its brand presence and market to a larger number of consumers, the company set particular marketing goals that would help boost its brand reputation and its customer base. To accomplish this, we built an extremely tailored Google Performance Max campaign accompanied by targeted YouTube campaigns with the objective of generating as much reach as feasible, gaining new customers, and driving long-term brand growth.

Google Performance Max campaigns continue to evolve, becoming richer with each new feature. They remain very AI-driven, whereby, without an articulated, well-crafted strategy, they are very easily able to burn budgets inefficiently. In this campaign, two main challenges are common to Performance Max setups. First, the platform at that time did not provide search term reports, so we had to manage audience targeting through account-level negative keywords and segmented campaign structures. Second, there was no way to identify specific ad placements; a problem that remains true today. Without knowing where ads were running, budget optimization was difficult. Plus, as is often the case with many Performance Max campaigns, too much was left to machine learning, which could potentially result in over-exposure of ads to very broad, low-relevance audiences if not balanced with quality data signals.
At Admoon, we used an active, data-driven approach to address these issues head-on. Despite platform limitations, we developed a solid campaign framework that would give us greater control, knowledge, and targeting capabilities. Three pillars supported our approach: removing targeting inefficiencies through campaign breaking and account-level negative keywords; developing sophisticated reporting techniques to find and thoroughly examine ad placements; and providing the campaign with accurate, high-quality audience signals and search topics to direct the AI toward more relevant users.
To address the issue of insufficiency in reporting on search terms, we utilized account-level negative keyword lists and developed segmented campaign structures so we could manage traffic quality more efficiently. For the placement visibility issue, we developed and exported detailed, expert-level reports that provided full transparency into where the ads were showing up — so we would be able to view wasteful placements and reallocate for maximum impact. Finally, in response to machine-learning-based over-broad targeting, we gave the campaign extremely relevant audience signals and accurately customized search topics so that Performance Max reached high-intent, pertinent users. All of these actions together rewrote the campaign as a streamlined, performance-focused configuration that provided measurable brand growth and cost efficiency.
Over 8 months, Admoon's approach made this perfume online shop's Performance Max campaign an excellent growth driver. Not only did the company register a significant boost in conversion performance, but it also achieved its highest marketing goal of strengthening brand awareness in the competitive market of perfumes in Pakistan. By maximizing targeting, refining audience signals, and making certain that ad spend was driven into high-quality traffic, we empowered the brand to effectively reach a significantly larger but intensely relevant audience. This led to stronger customer acquisition, improved engagement, and a clean lift in both short-term sales and long-term brand position.


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