Real Estate Intelligence Platform

Customer stories . 2023

PinarliGlobal Platform Fabric

A Zillow-style, map-driven real estate ecosystem built specifically for Turkey, combining listings, location intelligence, pricing analytics, and professional tools for agents and developers — all in a multi-language, globally accessible platform.

PinarliGlobal Platform Fabric

01

The Vision

PinarliGlobal wanted to become the default starting point for buying, renting, or investing in Turkish property.

Their goals:

— A marketplace where every property in Turkey can be discovered easily

— A map-first search experience inspired by global leaders

— Neighborhood-level insights and market analytics

— A platform that serves locals, investors, and international buyers

— Tools for agents and developers to manage listings, leads, and campaigns

— A UX that inspires trust in a market where decisions are high-stakes

They didn’t want “another classifieds site.”

They wanted a complete real estate decision platform for the modern era.

PinarliGlobal set out to become the definitive entry point for real estate in Turkey — the place every buyer, renter, or investor starts their search.

They aimed to build a platform where every property category is discoverable, supported by a map-first search that feels global-grade.

Users should see neighborhood insights, pricing trends, and context, not just listings.

The experience needed to support locals, international buyers, agents, and developers with equal clarity.

The ambition was to go beyond a listing site and deliver a full real estate decision ecosystem for modern Turkey.

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Recreating social “stickiness” without social chaos

check result

1. Map-First Property Search

A Zillow-style search experience tailored to Turkey, with powerful filters, draw-on-map tools, and instant results that make finding the right property feel effortless.

2. Neighborhood Intelligence

Built-in insights for every area — price trends, lifestyle indicators, transport access, schools, and investment signals — helping users understand context, not just listings.

3. Smart Pricing & Analytics

Social features like commenting, following, and simple engagement patterns that create interaction and community.

02

A National Market With Fragmented Digital Reality

Turkey’s real estate ecosystem is complex:

Fast, intuitive property discovery with powerful filters and draw-on-map tools.

Clear price trends, lifestyle info, and nearby amenities for smarter decisions.

Search Expectations vs. Real Data Conditions

Users needed to search by:

City, district, neighborhood

Room counts (1+1, 2+1, etc.)

Amenities, sea views, title deed eligibility

Metro proximity and investment factors

But available data was fragmented, inconsistent, and not structured.

Understanding Real Value

Listings alone don’t give clarity.

Investors also need:

Price histories

Market trends

Yield expectations

Comparable listings

The old digital landscape didn’t offer this.

Serving Locals and Global Buyers

Turkey attracts buyers from:

Europe

Middle East

Central Asia

Global investors seeking rentals or citizenship routes

Each audience searches differently, uses different currencies, and needs different trust signals..

Together, these elements create a luxury-first auction experience where discovery feels effortless, interactions feel intentional, and the platform comes alive with motion, community, and visual richness — all without overwhelming the user.

03

Platform Architecture & Capabilities

Map-First Search & Discovery Layer

Map-First Search & Discovery Layer

Neighborhood Intelligence & Market Insight

Neighborhood Intelligence & Market Insight

Price Estimation & Analytics Engine

Price Estimation & Analytics Engine

A fast, Zillow-inspired interface tailored to Turkey:

Search by neighborhood, district, or landmark

Draw-on-map zones for custom areas

Filters for property type, room count, price range, new build vs. resale, and more

Micro-badges for sea views, metro access, citizenship eligibility

High-quality photos and video galleries

Real-time updates on filter and map interactions

Built mobile-first with caching and performance optimizations.

Each area includes:

Average m² pricing

Price history

Typical property types

Lifestyle indicators

Transport access (metro, bus, major roads)

Key POIs (schools, hospitals, malls, coastal zones)

Users understand not just the property — but the context around it.

A pricing model built from:

Historical listing datasets

Property attributes

Building age, amenities, location factors

Outputs include:

Suggested price ranges

Fair market indicators

Below/Above market signals

This helps buyers negotiate confidently and agents price responsibly.

04

Build Phases

Phase 1 — Market Modeling & UX Definition

Completed

Mapping Turkish real estate patterns, user segments, and neighborhood data.

Phase 2 — Search & Mapping Engine

Completed

Building map interactions, filters, listing cards, location models.

Phase 3 — Data & Pricing Intelligence Layer

Completed

Price estimation, neighborhood analytics, trend modeling.

Active

Phase 4 — Professional Dashboards

In Progress

Listings management, lead tracking, developer project tools.

Phase 5 — International Buyer Experience

Planned

Expanding languages, currencies, guides, and trust-building flows.

Discover

Support

Mentoring

Simplifying

Projection

Advice

Browsing

Inspecting