Generating personalized social content through AI-driven agent profiling.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Lead Product Designer
Type
Real Estate - Mobile App
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
To kick things off, we partnered with marketing and product to have the big picture and understand better the scenario for agents.
Key Insights
- Agents struggle to stay consistently visible due to time constraints.
- Agents lack confidence in writing and branding.
- Agents see social media as a business driver, not just visibility.
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Social posting is generally manual or templated, not AI-personalized.
- Only share buttons for listings.
- Often generic outputs and unbranded.
There was an opportunity here for iHomefinder.
Beyond making this process easier for the user, we were looking for..
The metrics expected before launch were:
- AI adoption rate ≥ 25%
- AI interview completion rate (target 65%)
- Posting engagement (4 post by client avg)
- Revenue impact target +$225 per upgrade account
**Metrics for first three months after launch
Clients adopting the feature
24/67
Monthly active adoption rate
35.8%
Interview completion rate
84.6%
11 out of 13 clients
Posts Generated
170
Posts Published
92
Active clients who have posted
10
More post
More visibility
More leads
More perceived value
Retention + upgrades
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
MAX AI Assistant
Automate your content creation for social media
Challenges
More standard onboarding considering the timeline.
This was the company's first AI feature, and no one on the team, including me, had shipped one before. I leaned into it by studying AI product design patterns and bringing frameworks to the team, while partnering closely with engineering to understand model constraints and technical tradeoffs. The learning curve was real, but the cross-functional knowledge sharing made the output stronger than if any one discipline had led alone.
More standard onboarding considering the timeline.
The visibility agent launched on mobile, but AI would inevitably expand across iHomeFinder's ecosystem; CRM, website, marketing automation. Even at this early stage, I advocated for design decisions that wouldn't paint us into a corner: consistent interaction patterns, flexible content templates, and a voice/profile system that could serve multiple surfaces. The goal was to ship for mobile while thinking at the platform level.
next project
Enhancing the shopping experience for mobile and home services.
show case study
previous project
Max app: your real estate assistance to capture, nurture and close leads in one place.
show case study
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel Arboleda
Systemic constraints and decisions
More standard patterns for the interview process considering the timeline.
Progressive disclosure wasn't feasible within the timeline. Shipped a chatbot with streamlined questions and hybrid response formats to keep completion high.
Interview length vs. content quality.
Pulled agent data from the CRM first; interview only asked what we couldn't infer. Shorter onboarding, same content quality.
Validate value proposition before investing in cross platform complexity.
Facebook first. Most used by agents, fewest API restrictions. Validate the value proposition before investing in cross-platform complexity.
Generating personalized social content through AI-driven agent profiling.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Lead Product Designer
Type
Real Estate - Mobile App
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
To kick things off, we partnered with marketing and product to have the big picture and understand better the scenario for agents.
Key Insights
“I know I need to post more to stay relevant, but after a full day with clients, creating content is the last thing I can think about.”
“I want my posts to sound like me, but I never know what to write or how to make it feel professional.”
“I don’t post just to post. Every piece of content should help me connect with clients or bring in new leads.”
Agents struggle to stay consistently visible due to time constraints.
Agents lack confidence in writing and branding.
Agents see social media as a business driver, not just visibility.
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Social posting is generally manual or templated, not AI-personalized.
- Only share buttons for listings.
- Often generic outputs and unbranded.
There was an opportunity here for iHomefinder.
Beyond making this process easier for the user, we were looking for..
The metrics expected before launch were:
- AI adoption rate ≥ 25%
- AI interview completion rate (target 65%)
- Posting engagement (4 post by client avg)
- Revenue impact target +$225 per upgrade account
**Metrics for first three months after launch
Clients adopting the feature
24/67
Monthly active adoption rate
35.8%
Interview completion rate
84.6%
11 out of 13 clients
Posts Generated
170
Posts Published
92
Active clients who have posted
10
More post
More visibility
More leads
More perceived value
Retention + upgrades
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
Strategy
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
Your first blog post
This post was created based on your profile and current real estate trends. You can always edit to add your personal touch.
4 min read
Draft
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
content
As a broker with 5 years of experience, I’ve had the privilege of helping countless clients navigate the complex world of real estate. Today, I want to share some insights that can help you make informed decisions in today’s market.
**Key Strategies for success**1. **Market Knowledge**: Stay informed about local trends and pricing.2. **Professional Network**: Work with experienced professionals.3.**Timing**: Understand when to act and when to wait.4.**Due Diligence**: Never skip the research phase.**Looking Ahead**If you’re looking for a trusted advisor who puts your interests first throughout your real estate journey.Ready to take the next step? Let’s discuss how I can help you achieve your real estate goals.
Approve
Decline
Edit Post
9:41
Visible Agent
AI content dashboard
Analytics
Total post
10
Published
5
Pending to approve
3
Declined
2
Agent profile
MC
Mario Carl
Real Estate Agent
Content created for you
4 min read
Pending to publish
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
Publish
Preview
4 min read
Published
Luxury homes expert: Your guide to Real Estate Sucess
Discover insider tips and strategies from a 5 years real estate professional specializing in luxury homes.
#real estate
#market insights
#luxury homes
TARGET AUDIENCE:
Young professionals
Preview
9:41
MAX AI Assistant
Automate your content creation for social media
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel ArboledaChallenges
AI expertise.
This was the company's first AI feature, and no one on the team, including me, had shipped one before. I leaned into it by studying AI product design patterns and bringing frameworks to the team, while partnering closely with engineering to understand model constraints and technical tradeoffs. The learning curve was real, but the cross-functional knowledge sharing made the output stronger than if any one discipline had led alone.
Designing beyond the first surface.
The visibility agent launched on mobile, but AI would inevitably expand across iHomeFinder's ecosystem; CRM, website, marketing automation. Even at this early stage, I advocated for design decisions that wouldn't paint us into a corner: consistent interaction patterns, flexible content templates, and a voice/profile system that could serve multiple surfaces. The goal was to ship for mobile while thinking at the platform level.
Product Designer
ABOUT ME
get resume
previous project
Max app: your real estate assistant to capture, nurture and close leads in one place.
show case study
Systemic constraints and decisions
More standard patterns for the interview process considering the timeline.
Progressive disclosure wasn't feasible within the timeline. Shipped a chatbot with streamlined questions and hybrid response formats to keep completion high.
Interview length vs. content quality.
Pulled agent data from the CRM first; interview only asked what we couldn't infer. Shorter onboarding, same content quality.
Validate value proposition before investing in cross platform complexity.
Facebook first. Most used by agents, fewest API restrictions. Validate the value proposition before investing in cross-platform complexity.
Let’s work together!!
Get in touch
danielarboledamanyoma@gmail.com
Connect on LinkedIn
Daniel ArboledaGenerating personalized social content through AI-driven agent profiling.
Description
iHomefinder is a real estate CRM and marketing system for real estate agents, teams, and agencies. This system allows real estate agents to save time and generate business opportunities thanks to marketing automation tools. Agents can use iHomefinder's intelligent tools to manage lead generation and digital marketing campaigns.
Role and Team
Lead Product Designer
Type
Real Estate - Mobile App
Client
iHomefinder
Date
2025
Problem
Real estate agents often struggle to maintain a consistent and engaging presence on social media due to the time and effort required to create personalized content. Despite knowing the value of visibility for building trust and generating leads, many agents fail to post regularly, especially on platforms like Facebook where their audience actively engages.
To kick things off, I partnered with marketing and product to have the big picture and understand better the scenario for agents.
Key Insights
“I know I need to post more to stay relevant, but after a full day with clients, creating content is the last thing I can think about.”
“I want my posts to sound like me, but I never know what to write or how to make it feel professional.”
“I don’t post just to post. Every piece of content should help me connect with clients or bring in new leads.”
Agents struggle to stay consistently visible due to time constraints.
Agents lack confidence in writing and branding.
Agents see social media as a business driver, not just visibility.
Most of the competitors offer blog/social tools that require agent effort and produce generic outputs.
- Social posting is generally manual or templated, not AI-personalized.
- Only share buttons for listings.
- Often generic outputs and unbranded.
There was an opportunity here for iHomefinder.
Beyond making this process easier for the user, we were looking for..
The metrics expected before launch were:
- AI adoption rate ≥ 25%
- AI interview completion rate (target 65%)
- Posting engagement (4 post by client avg)
- Revenue impact target +$225 per upgrade account
**Metrics for first three months after launch
Clients adopting the feature
24/67
Monthly active adoption rate
35.8%
Interview completion rate
84.6%
11 out of 13 clients
Posts Generated vs Published
170/92 = 54%
Active clients who have posted
10
Average of 9 posts per month
More post
More visibility
More leads
More perceived value
Retention + upgrades
Social post generation
Part 1
AI Interview & Agent profile
Part 2
Social Post Generation
Where AI can assist?
- Identify tone and content topics.
- Matching language to the agent’s profile.
- Suggesting variations.
- Flagging risky language and sensitive content.
Where AI can automate?
- Generating repetitive content:
- Listing post
- Open house announcements
- Sold listing post
- Formatting
- Regenerating content
- Publishing process
Strategy
How to articulate multiple micro steps as part of unified AI flow?
Our user profiles involve baby brand agents but also old hat ones, so the level of familiarity with technology and AI features could vary.
MAX AI Assistant
Automate your content creation for social media
previous project
Max App: your real estate agent assistant to capture, nurture and close leads in one place.
show case study
Challenges
AI expertise.
This was the company's first AI feature, and no one on the team, including me, had shipped one before. I leaned into it by studying AI product design patterns and bringing frameworks to the team, while partnering closely with engineering to understand model constraints and technical tradeoffs. The learning curve was real, but the cross-functional knowledge sharing made the output stronger than if any one discipline had led alone.
Designing beyond the first surface.
The visibility agent launched on mobile, but AI would inevitably expand across iHomeFinder's ecosystem; CRM, website, marketing automation. Even at this early stage, I advocated for design decisions that wouldn't paint us into a corner: consistent interaction patterns, flexible content templates, and a voice/profile system that could serve multiple surfaces. The goal was to ship for mobile while thinking at the platform level.
Product Designer
ABOUT ME
get resume
Systemic constraints and decisions
More standard patterns for the interview process considering the timeline.
Progressive disclosure wasn't feasible within the timeline. Shipped a chatbot with streamlined questions and hybrid response formats to keep completion high.
Interview length vs. content quality.
Pulled agent data from the CRM first; interview only asked what we couldn't infer. Shorter onboarding, same content quality.
Validate value proposition before investing in cross platform complexity.
Facebook first. Most used by agents, fewest API restrictions. Validate the value proposition before investing in cross-platform complexity.