Case Study: Generating 2,748 Qualified Real Estate Leads with Scalable Meta Lead Generation Campaigns

  • Industry: Real Estate
  • Target CPL: $15
  • Timeframe: October 2025 to December 2025
  • Ad Spend: $43,126.63
  • Leads Generated: 2,748
  • Cost per Lead: $11.48
  • Focus: Driving consistent, scalable buyer and seller inquiries

In October 2025, I launched a lead generation campaign for a real estate client looking to increase the volume of high intent inquiries for their properties. They had previously run basic social campaigns but had never used a structured lead generation strategy across Meta. Over this period, the campaign spent 31,557.25 and generated 2,748 qualified website leads at an average cost of $11.48 below the $15 CPL target.

Audience Testing

My first step was to build a full audience testing framework. I developed multiple segments including location based targeting, income tiers, real estate interests, competitor research interests, and broader lifestyle signals aligned with property buyers and sellers. I tested each segment against different placements and device types to learn where cost efficiency and quality were strongest. Once the top performing segments were identified, I consolidated spend into the highest converters to scale consistently.

Creative and Messaging Testing

I produced several rounds of creatives highlighting property features, lifestyle angles, market expertise, and clear calls to action. Since real estate prospects respond strongly to visual storytelling, I used clean branding, aspirational photography, and concise messaging that positioned the client as a trusted authority. I regularly refreshed creatives to maintain delivery strength and avoid fatigue. This continuous testing helped lower the cost per lead and keep engagement high.

Offer and Landing Page Testing

To improve conversion rates, I tested different value driven hooks such as exclusive listings, early access alerts, and personalized guidance from the client’s team. I monitored how each offer performed across demographics and placements. I also reviewed the landing page experience to ensure alignment between the ad promise and the onsite journey. This helped improve lead quality and maintain a strong cost per lead throughout the campaign. By combining structured audience testing, ongoing creative optimization, and tailored offers, the campaign generated 2,748 leads at scale and delivered a strong cost per lead in a competitive real estate market. This provided the client with a consistent flow of high intent inquiries that could be nurtured into viewings and completed sales.

Case Study: Achieving $345K in Revenue in seven months with a 8x ROAS through Pinterest Ads

  • Industry: Arts and Crafts E-commerce brand
  • Target ROAS: 3x
  • Timeframe: January to July 2024
  • Ad Spend: $43,126.63
  • Revenue Generated: $345,536.30
  • ROAS Achieved: 8.01x
  • Focus: Acquiring new customers

In January 2024, I began working with this client who had previously advertised on Facebook and Instagram and wanted to expand their advertising efforts to Pinterest. As you can see here, we spent $43,126.63 over seven months, averaging $6,100 per month, and from that investment, we generated just over $345,536.30k in revenue, resulting in a 8.01x return on ad spend.

Audience Testing

Identifying the right audience is crucial. I started by creating various audience segments based on interests, behaviours, and demographics that align with Pinterest's user base. I then implemented A/B testing to find the most responsive audience groups, adjusting parameters based on performance data.

Ad Copy and Creative Testing

I crafted multiple versions of ad copy and creatives to see which combinations resonated most with the target audience. I focused on visually appealing and inspirational content, as Pinterest users are highly visual and engage more with aesthetically pleasing ads. I then regularly refreshed creatives to prevent ad fatigue and maintain high engagement rates.

Offer Testing

I tested different offers to determine what drove the highest conversion rates. This included discounts, bundles, and exclusive deals. I then analysed performance metrics to identify which offers appealed most to new customers and led to increased sales.

Results:

The strategic approach paid off significantly:
  • High ROAS: Achieved a 8.01x return on ad spend, far exceeding the initial target of 3x.
  • Revenue Growth: Generated $345K in revenue, showcasing the power of effective Pinterest advertising.
  • New Customer Acquisition: Successfully targeted and converted new customers, contributing to long-term brand growth.

Case Study: Achieving $85K in Revenue in Four Months with a 4.39x ROAS through Meta Ads

  • Industry: Homeware E-commerce brand
  • Target ROAS: 2.5x
  • Timeframe: February to May 2024
  • Ad Spend: $19,373.92
  • Revenue Generated: $84,993.12
  • ROAS Achieved: 4.39x
  • Focus: Acquiring new customers and incentivising existing customers to repeat purchase.

Before working together, this client had tried running ads themselves from November 2023 to January 2024 but had a high $42 to acquire a customer (CPA) and a ROAS below 2x. They needed better results, so here’s the 3-step formula I used to more than double their ROAS and cut their CPA in half.

Audience Testing

To start, I created multiple audience segments including custom audiences based on existing customer data, lookalike audiences from top customers, and interest-based audiences targeting specific interests related to the products. I then set up ad sets for each audience segment, allocating a small budget of $10-$20 per day per ad set to efficiently identify which segments were most responsive. By monitoring metrics such as CTR, conversion rates, and CPA over a 1-2 week testing period, I was able to identify top-performing audiences. I then reallocated the budget from underperforming ad sets to the high-performing ones, maximising ad spend efficiency. This approach helped me to pinpoint the most profitable audiences, significantly boosting our overall ROAS.

Ad Testing - Copy, Creatives, and Offers

I created multiple variations of ad copy, creatives, and offers to determine which combinations drove the most conversions. This included testing different headlines, descriptions, and calls-to-action, as well as using a mix of images, videos, and carousels to see what captured the audience’s attention best. i also experimented with various promotions like discounts, free shipping, and bundle deals. By setting up A/B tests with 2-3 variations in each ad set, I could robustly test different elements. I monitored CTR, conversion rates, and ROAS to identify winning combinations, scaling successful ads and refining or eliminating underperforming ones. This testing process ensured I found the most compelling ad elements to drive conversions and improve overall ad performance.

Offer Testing

I created different funnel stages, including Top of Funnel (TOFU) targeting broad audiences, Middle of Funnel (MOFU) retargeting website visitors and engaged users, and Bottom of Funnel (BOFU) for high-intent users and cart abandoners. I tested campaign structures by running a single campaign with TOFU, MOFU, and BOFU ad sets and separate campaigns for each funnel stage to better control budget allocation and optimisation. By tracking performance across the funnel, I identified drop-off points and areas for improvement. I adjusted campaign budgets, ad placements, and targeting strategies based on the data. This structured approach ensured maximum performance at each funnel stage, enhancing overall conversions and efficiency.

results:

The strategic approach generated outstanding results:
  • High ROAS: Achieved a 4.39x return on ad spend, far exceeding the initial target of 2.5x.
  • Revenue Growth: Successfully implemented my three-step strategy resulting in $85K in revenue.
  • Cut CPA in Half: Significantly reduced the cost to acquire a customer, taking it from $42 down to $21.04