Toan Le Diep Trong
Full Stack Digital Marketer
Toan Le Diep Trong
Performance Marketing . 2020

Luxury Beauty Clinic Leads Generation Campaign

Generating high-quality leads for a luxury beauty clinic in Vietnam through large-scale performance marketing campaigns, managing media budgets of up to VND 8 billion.

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Project Overview

01

Challenge

The campaign presented three major challenges. First, it required managing a large-scale media budget focused entirely on performance marketing, with no investment in brand awareness or upper-funnel activities, making it difficult to sustain acquisition efficiency. Second, maintaining lead quality was challenging as the campaign scaled, requiring continuous optimisation of targeting, creatives, and bidding strategies. Third, the absence of a structured lead management and nurturing system limited the ability to effectively qualify, follow up, and convert prospects, reducing the overall return on marketing investment.

02

Solution

To address the first challenge, we implemented a hashed audience segmentation strategy combined with hundreds of duplicated ad sets, enabling us to diversify audience reach across multiple targeting angles within each segment. At the time, advertising platforms had not yet adopted the advanced AI-driven optimisation available today, making this manual scaling approach highly effective. As a result, we were able to scale campaign spend significantly while maintaining stable performance and achieving the required budget targets.

To improve lead quality, we integrated Zapier with Microsoft Office Online to notify the sales team in real time whenever a new lead was generated. This allowed the sales team to provide immediate feedback on lead quality, which was then incorporated into our optimisation process. By continuously refining audience targeting based on these insights, the overall quality of leads improved over time.

For lead management and nurturing, we implemented PanCake alongside a customised CRM solution to centralise customer interactions, streamline follow-up workflows, and maximise customer lifetime value through more effective relationship management.

03

Results

As a result, the campaign consistently generated more than 3,000 high-quality leads per month, enabling the clinic to achieve its aggressive growth targets. More importantly, by improving lead quality, streamlining the sales process, and implementing an effective customer nurturing strategy, the average customer lifetime value increased from approximately USD 50 to more than USD 3,000 within a six-month customer lifecycle. This demonstrated that the campaign not only delivered lead volume at scale but also drove substantial long-term business value and return on marketing investment.

Key Metrics

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Quality Improve

Strategy & Execution

Phase 01

Leads Scale Up

To maximise campaign scale, we segmented audiences by age, gender, and geographic location, then manually built hundreds of duplicated ad sets with diverse creative combinations. Before Meta introduced today's AI-driven campaign optimisation, this structure enabled us to explore multiple audience pools simultaneously, increase delivery across different targeting clusters, and achieve the required spending levels while maintaining performance efficiency.

Leads Scale Up
Phase 02

Real Time Database Synchronize

We integrated Zapier with Meta Lead Ads to automatically transfer new leads into a Microsoft Excel database in real time. The sales team reviewed each lead and provided quality feedback within 24 hours, enabling us to continuously refine audience segmentation and improve campaign performance. At the same time, we implemented PanCake as a customer engagement platform to manage conversations, respond to enquiries promptly, and nurture prospects throughout the sales journey.

Real Time Database Synchronize
Phase 03

Optimization Loop

With real-time feedback from the sales team, we continuously refined audience segmentation to improve lead quality and targeting accuracy. At the same time, we adopted a test-and-learn approach for creative optimisation, regularly evaluating the performance of different ad variations. Whenever an advertisement fell below the predefined performance benchmarks, we immediately refreshed the creative to prevent ad fatigue and maintain campaign efficiency. This continuous optimisation cycle of collecting feedback, analysing performance, refining audiences, and refreshing creatives enabled us to consistently improve campaign results while scaling spend.

Optimization Loop

Creative Assets