Course : AI-Enhanced Real Estate Lead Generation and Customer Relations

Generate leads, personalize your customer relationships, and optimize your sales performance

Practical course - 2d - 14h00 - Ref. AYM
Price : 1680 CHF E.T.

AI-Enhanced Real Estate Lead Generation and Customer Relations

Generate leads, personalize your customer relationships, and optimize your sales performance


New course

Artificial intelligence is transforming lead generation and customer relationship management practices in the real estate industry. It enables companies to produce sales content more quickly, qualify leads, personalize communications, and automate certain low-value-added follow-ups. By the end of the training, participants will be able to improve their sales effectiveness while strengthening the quality of their customer relationships.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. AYM
  2d - 14h00
1680 CHF E.T.




Artificial intelligence is transforming lead generation and customer relationship management practices in the real estate industry. It enables companies to produce sales content more quickly, qualify leads, personalize communications, and automate certain low-value-added follow-ups. By the end of the training, participants will be able to improve their sales effectiveness while strengthening the quality of their customer relationships.


Teaching objectives
At the end of the training, the participant will be able to:
Identify opportunities to automate lead generation and customer relationship management
Creating Effective Marketing Content with Generative AI
Design an AI-powered process for qualifying and tracking leads
Tailor sales interactions based on the customer's or decision-maker's profile
Developing an Action Plan to Integrate AI into Your Business Operations

Intended audience
Real estate agents, brokers, representatives, branch managers, sales managers, business development managers, business center managers, and anyone involved in real estate business development.

Prerequisites
No specific knowledge required.

Practical details
A mix of methodological instruction, demonstrations, and hands-on exercises. Case studies based on real-world scenarios in the real estate industry. The training program is based on a core set of skills common to all real estate professions, enriched by case studies and exercises tailored to the specific characteristics of residential or commercial real estate, depending on the participants’ profiles.

Course schedule

1
Understanding the Benefits of AI in the Real Estate Sales Cycle

  • Identify the concepts of AI, generative AI, and automation
  • Analyze the stages of the prospect and customer journey that can be optimized
  • Identify time-consuming tasks with low value-added
  • Assessing the Benefits, Limitations, and Risks of Business Automation
  • Implementing Best Practices for Data Protection
Hands-on work
Red Thread Case Study: Mapping the Sales Journey. Residential: The seller’s journey, from the request for an estimate to the listing agreement / Commercial: The B2B decision-maker’s journey, from identifying the need to the real estate proposal.

2
Creating Effective Lead Generation Content with Generative AI

  • Writing Effective Prompts to Achieve a Business Goal
  • Generate multichannel prospecting messages
  • Create scripts for making calls and scheduling appointments
  • Tailor messages to prospect profiles
  • Promote a property listing, an asset, a service, or a real estate opportunity
Hands-on work
Case Study: Creating a Comprehensive Prospecting Sequence. Residential: Message to a homeowner selling their property / Commercial: Message to an executive, real estate manager, HR director, CFO, or office manager.

3
Generate, qualify, and track leads using AI

  • Structuring a Process for Collecting and Qualifying Leads
  • Leveraging AI to Analyze Incoming Requests and Prioritize Contacts
  • Design qualification processes based on chatbots and existing forms
  • Design AI-powered follow-up and reminder workflows
  • Identify tasks that can be delegated to an AI agent and illustrate scenarios using Power Automate
Hands-on work
Red Thread Case Study: Designing an AI-Assisted Prospect Journey. Residential: Qualifying a seller, following up after an appraisal, and prioritizing listings / Commercial: Assessing a location need, evaluating project maturity, prioritizing accounts, and following up with decision-makers.

4
Prepare for appointments and personalize customer relationships with AI

  • Analyze customers' needs and intentions
  • Preparing for a Sales Meeting with AI Assistance
  • Anticipating Objections
  • Generate personalized recommendations
  • Prepare reports and follow-ups on discussions
Hands-on work
Red Thread Scenario: Role-playing. Residential: Sales meeting aimed at securing a listing/Commercial: Meeting with a corporate decision-maker to assess real estate needs and address objections.

5
Building an AI-Enhanced Sales Strategy

  • Identify priority use cases based on business objectives
  • Choose the right tools for your business
  • Define Sales Performance Metrics
  • Develop a plan for the phased adoption of AI
  • Develop an operational roadmap
Hands-on work
Final presentation of the “fil rouge” case: prospecting strategy, lead qualification, follow-up script, priority AI applications, and roadmap. Residential: development of the portfolio of listings / Commercial: development of the B2B opportunity pipeline.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 3 to 4 December 2026
FR
Remote class
Registration
From 22 to 23 March 2027
FR
Remote class
Registration
From 21 to 22 June 2027
FR
Remote class
Registration
From 13 to 14 September 2027
FR
Remote class
Registration
From 6 to 7 December 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 3 Dec.

2027 : 22 Mar., 21 June, 13 Sep., 6 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.