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Case Study · Real Estate Customer Experience & Digital Transformation

Wasl. Conception de services client pour l'immobilier

Renascence a mené une analyse du service client pour Wasl, un promoteur immobilier de premier plan à Dubaï, afin de stimuler la transformation numérique et d'améliorer l'expérience client grâce à la segmentation des données, l'identification des points de friction et des recommandations stratégiques.

Customer Service DesignCustomer ExperienceDigital Transformation
Client
Wasl
Industry
Real Estate Customer Experience & Digital Transformation
Date
2024-11-05
Timeline

01The Impact

The results, up front.

Customer Records Analyzed
59,726
Pain Points Identified
Pain Points
40
Distributed across website, call center, walk-in, and app stages.
Recommended Initiatives
14
Proposed to enhance customer service and optimize digital transformation.

Data Cleaning & Analysis: Analyzed 59,726 records to provide accurate customer segmentation. Improved Data Management: Identified and addressed data inconsistencies and inefficiencies. Enhanced Customer Segmentation: Developed targeted strategies for marketing, product development, and personalized customer support. Optimized Customer Experience (CX): Mapped customer journey and identified pain points for improved customer interactions. Strategic Recommendations: Provided actionable insights and initiatives to enhance Wasl’s customer service and digital transformation efforts. Customer Experience Initiatives: Outlined 14 initiatives with current standing, future goals, approach, responsible parties, and success criteria.

02 — The Challenge

Where they started.

Conducted 39 discovery sessions Interviewed 25 stakeholders Reviewed 62 documents Listened to dozens of calls Checked IVR and chat flows Received call centre email templates Analyzed 6 datasets

03What We Did

The work.

01

Data Recording Consistency

Inconsistent address and phone number entries.

02

Customer Data Collection

Each business unit followed its own method of collecting data.

03

Customer Type Classification

Primary customer type not updated with new acquisitions.

04

Customer Data Management

Limited use of customer data for strategic purposes.

05

Presence of Sub-Sub-Lease Records

Records that violate leasing regulations.

06

Land Customer Data Management

Inefficient data management in the land business unit.

07

Optimize data collection

Example - KYC program

08

Organize database structure

For better customer type classification

04 — Approach & Methodology

How we got there.

CX Consultant

05In Practice

Project samples.

Wasl project sample 1
Wasl project sample 2
Wasl project sample 3
Wasl project sample 4
Wasl project sample 5
Wasl project sample 6

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