Case Study

Traffic
Generation

40% Lower Cost per User and 38% Higher Revenue Through Performance Optimization

Our client is one of the top parking apps in the Netherlands, providing millions of urban drivers with a seamless, tech-driven parking experience across Europe’s most connected cities

Platforms

Meta Ads Manager
Google Ads

Results 1

27%

more first time park actions from our new users

Results 2

40%

reduction on Cost per User

Results 3

38%

increase on estimated revenue

Project Overview

Optimizing a Market Leader


With millions of active users and a mature acquisition strategy, the company had already captured much of the obvious growth potential in its core markets. Further expansion was becoming increasingly expensive and operationally complex.

Several structural challenges emerged:

  • Diminishing Acquisition Efficiency
    Years of heavy investment in paid and organic channels had saturated many audience segments, making it harder to identify new cost-effective users.

  • Operational Complexity
    High-volume app install campaigns required stronger data visibility and clearer operational processes than the existing setup could provide.

  • User Quality vs. Volume
    While install numbers remained strong, the real business objective was ensuring new users converted into active, revenue-generating drivers.

To continue scaling profitably, the organization needed to uncover untapped efficiencies within its digital acquisition engine.

Execution

Building a Scalable Performance Blueprint


We conducted a strategic audit of the acquisition ecosystem and redesigned the campaign structure to improve efficiency, decision-making, and scalability.

Key initiatives included:

  •  Data Intelligence Layer
    Developed a centralized performance dashboard and predictive goals model to enable faster decision-making based on forward-looking indicators rather than historical data alone.

  • Campaign Process Standardization
    Defined clear roles, responsibilities, and campaign governance processes to remove operational friction and ensure consistent execution across campaigns.

  • Scalable Growth Framework
    Built a repeatable acquisition model designed to support future campaigns and international expansion without increasing operational complexity.

  • Audience Optimization
    Refined targeting strategies to move beyond simple app installs and focus on high-intent users most likely to complete their first parking transaction.

Results

Radical Efficiency and Revenue Growth


The transformation revealed that even mature acquisition programs still hold significant optimization potential when supported by better data, processes, and targeting strategies.

Key outcomes included:

  • Lower Acquisition Costs
    Reduced Cost per User by 40%, significantly improving campaign profitability.

  • Higher Quality Users
    Increased first-time park actions by 27%, demonstrating stronger user intent and engagement.

  • Improved Marketing Efficiency
    Maintained similar install volumes while reducing overall campaign spend by 20% compared to the previous quarter.

  • Revenue Growth
    The combination of higher-quality users and lower acquisition costs led to a 38% increase in estimated revenue.

The result was not simply improved campaign performance.

The client gained a scalable acquisition framework capable of sustaining growth while maintaining strong marketing efficiency.

1_NMQ_How nmq executes GEO_service_page

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