Supercharged AI widget

Supercharged AI widget

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Overview

Overview

At Zuma, we develop cutting-edge AI products tailored for the property management industry in the U.S. market.

  • Property management companies in the U.S. spend heavily on marketing for their communities. However, when prospects visit their websites, they often have many questions, but there is no effective AI widget available to address these queries and convert prospects into scheduled tours.

At Zuma, we develop cutting-edge AI products tailored for the property management industry in the U.S. market.

  • Property management companies in the U.S. spend heavily on marketing for their communities. However, when prospects visit their websites, they often have many questions, but there is no effective AI widget available to address these queries and convert prospects into scheduled tours.

Key Impact

Key Impact

20%

reduction in lead

churn due

15%

increase in tour

bookings

$X

direct revenue generated

from the chatbot

direct revenue

generated

from the chatbot

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🎯

Business Goals

Business Goals

1

1

Simplified

prospect experience

Simplified prospect experience

2

2

AI powered

widget

AI powered widget

3

3

An intuitive tool

to increase tour booking

An intuitive tool to increase tour booking

Preparation starts

Preparation starts

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Discover + UX research

Discover + UX research

Interactions with prospects

  • We observed direct prospects interacting with property management websites, focusing on their challenges around pricing inquiries, availability checks, and tour scheduling.

  • Identified pain points such as difficulty in navigating through scattered information and the need for real-time responses.

  • We observed direct prospects interacting with property management websites, focusing on their challenges around pricing inquiries, availability checks, and tour scheduling.

  • Identified pain points such as difficulty in navigating through scattered information and the need for real-time responses.

Tracking user behaviour

  • Conducted interviews with prospects and property management companies to understand frustrations and unmet needs with current tools.

  • Analyzed user behavior to identify the lack of seamless, connected experiences across features, leading to drop-offs and inefficiencies.

  • Conducted interviews with prospects and property management companies to understand frustrations and unmet needs with current tools.

  • Analyzed user behavior to identify the lack of seamless, connected experiences across features, leading to drop-offs and inefficiencies.

Stakeholder feedback loops

  • We gathered feedback from property management stakeholders to align the chatbot with business goals, focusing on increasing conversion rates and reducing marketing spend.


  • Stakeholders emphasized the need for automation in responding to repetitive inquiries, and for a system that streamlines user interactions from inquiry to tour scheduling.

  • We gathered feedback from property management stakeholders to align the chatbot with business goals, focusing on increasing conversion rates and reducing marketing spend.


  • Stakeholders emphasized the need for automation in responding to repetitive inquiries, and for a system that streamlines user interactions from inquiry to tour scheduling.

For deep research we did customer segmentation, and many different research methods but adding all of them will make

the case study super long. May be we can discuss over a call 😄

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Competitive Analysis (BTS)

Competitive Analysis

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Define

Define

1

1

Existing System Challenges

Existing System Challenges

  • Property management companies use disconnected systems for pricing, availability, and tour scheduling, resulting in a fragmented user experience.


  • Prospects must navigate multiple platforms and wait for manual responses, leading to delays and frustration.


  • Competitors lack an integrated solution, causing inefficiencies and missed opportunities.

  • Property management companies use disconnected systems for pricing, availability, and tour scheduling, resulting in a fragmented user experience.


  • Prospects must navigate multiple platforms and wait for manual responses, leading to delays and frustration.


  • Competitors lack an integrated solution, causing inefficiencies and missed opportunities.

2

2

Impact on Customer Experience and Business Performance

Impact on Customer

Experience and

Business Performance

  • Fragmented processes lead to high lead churn and slow tour bookings, diminishing user satisfaction.


  • Increased marketing spend is required to counteract low conversion rates due to inefficient systems.


  • The lack of a unified platform hampers companies’ ability to optimize engagement and conversion efforts.

  • Fragmented processes lead to high lead churn and slow tour bookings, diminishing user satisfaction.


  • Increased marketing spend is required to counteract low conversion rates due to inefficient systems.


  • The lack of a unified platform hampers companies’ ability to optimize engagement and conversion efforts.

Solution

Solution

1

Client facing

AI powered chatbot

2

Seamless experience

between 5 features

Maps & Flows

Maps & Flows

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Usability testing

Usability testing

Testing Methodology:

  • Conducted remote usability testing with direct prospects who interacted with the AI-driven system on client property management websites.

  • Used Protopie/Retool and V0 APIs to simulate real-world scenarios like booking tours, checking price and availability, and answering common questions through the chatbot.

  • Prospects were asked to complete tasks such as scheduling tours and inquiring about unit availability while their actions were observed in real time.|

  • Combined task-based testing with open-ended feedback to assess both the efficiency of task completion and the user experience when interacting with the AI features.


Key Findings and Insights:

  • Prospects appreciated the seamless, AI-driven experience, especially for booking tours and getting real-time answers to their questions.

  • Some users expressed feeling slightly overwhelmed by too many suggestions at once, highlighting the need for a balance between AI assistance and user control.

  • Initial testing showed a 15% increase in tour bookings due to the ease and efficiency of the integrated system.

Testing Methodology:

  • Conducted remote usability testing with direct prospects who interacted with the AI-driven system on client property management websites.

  • Used Protopie/Retool and V0 APIs to simulate real-world scenarios like booking tours, checking price and availability, and answering common questions through the chatbot.

  • Prospects were asked to complete tasks such as scheduling tours and inquiring about unit availability while their actions were observed in real time.|

  • Combined task-based testing with open-ended feedback to assess both the efficiency of task completion and the user experience when interacting with the AI features.


Key Findings and Insights:

  • Prospects appreciated the seamless, AI-driven experience, especially for booking tours and getting real-time answers to their questions.

  • Some users expressed feeling slightly overwhelmed by too many suggestions at once, highlighting the need for a balance between AI assistance and user control.

  • Initial testing showed a 15% increase in tour bookings due to the ease and efficiency of the integrated system.

Results

Results

20%

reduction in lead

churn due

15%

increase in tour

bookings

$X

direct revenue generated

from the chatbot

direct revenue

generated

from the chatbot