Executive Summary (Empirical Field Findings):
This case study examines First-Party Data retargeting and closed-loop ad optimization deployed across 2,150 high-quality prospective buyers in launch projects in Istanbul and Bodrum. By replacing generic retargeting with CRM-segmented programmatic banner impressions, the return on ad spend (ROAS) was raised from 3.2x to 16.8x.
1. Project Context and Baseline
- Zenodo DOI: 10.5281/zenodo.22850353
- Project Type: Luxury Residences & Villa Projects (Istanbul and Bodrum).
- Target Audience: High-Income (A+ Segment) Real Estate Investors.
- Observation Period: 60 Days.
- Sample Size: 2,150 High-Intent Prospects.
- Baseline Metrics:
- Median CPL (Cost Per Lead): $42.00 USD.
- Median ROAS (Return on Ad Spend): 3.2x.
- Advertising Model: Conventional Google Ads and Generic Meta Ads Retargeting.
2. Implemented Programmatic Retargeting Architecture
[Website / Project Detail Visit] (First-Party Data Segmentation)
│
▼
[CRM & CDP Data Matching (Project_ID / Price_Tier)]
│
┌──────────────┴──────────────┐
▼ ▼
[Meta CAPI Offline Feedback] [RTB House & DSP Open Web Retargeting]
│ │
▼ ▼
[Personalized Banner] [Financial Times / Bloomberg / News Banner]
- First-Party Data Segmentation: Visitors who merely browsed general pages on the website and those who downloaded the 4-room (3+1) villa floor plan and reviewed it for more than 2 minutes were assigned to distinct risk/intent groups within the CRM.
- Personalized Open Web Delivery: As A+ prospective buyers browsed news and business sites, instead of a generic logo banner, they were served programmatic banners featuring the installment terms and delivery date of the exact villa they had shown interest in.
- CAPI Closed-Loop Feedback: Data on prospects flagged by sales representatives in the CRM as “Visited Sales Office” or “Offer Issued” was instantly transmitted to Meta and Google auction algorithms.
3. Empirical Results
Table 1: Before-and-After Comparison of Programmatic Optimization
| Metric | Pre-Intervention (Baseline) | Post-Intervention (Intervention) | Improvement |
|---|---|---|---|
| Median CPL ($ USD) | $42.00 | $24.30 | 42.1% Reduction |
| Qualified Lead Rate (%) | 18.5% | 44.2% | 2.38x Increase |
| Realized ROAS | 3.2x | 16.8x | 5.25x ROAS Increase |
| Customer Acquisition Cost (CAC) | $4,800 | $1,950 | 59.3% Savings |
Citation and Attribution
APA Format
Yalçın, K. (2026). Case Study: Programmatic Retargeting and ROAS Optimization in a Luxury Real Estate Project. KorayYalcin.org Case Research Series. https://doi.org/10.5281/zenodo.22850353. URL: https://www.korayyalcin.org/en/articles/case-study-real-estate-programmatic-retargeting-roas-optimization
BibTeX Format
@article{yalcin2026casestudyprogrammatic,
title={Case Study: Programmatic Retargeting and ROAS Optimization in a Luxury Real Estate Project},
author={Yal{\c{c}}{\i}n, Koray},
journal={KorayYalcin.org Case Research Series},
year={2026},
doi={10.5281/zenodo.22850353},
url={https://www.korayyalcin.org/en/articles/case-study-real-estate-programmatic-retargeting-roas-optimization}
}
Related Articles
Cite This Work
APA 7thReferences & Academic Citations
- K/Y Systems Field Research (2026). High-Ticket Real Estate Programmatic Performance Benchmark.
Implementation Blueprints & Resources
Meta Lead → CRM → WhatsApp Workflow Diyagramı
Müşteri adayının anında CRM'e aktarılması ve ilk WhatsApp mesajının tetiklenmesi için Make senaryo mimarisi.