Using AI chatbots to boost
conversion rates by 30%
Duration
April - July 2024
Role
Sole Designer
Collaborators
1 VP of Marketing
1 Product Manager
& 2 Developers
Platforms
Web, iOS
For this project, I designed both the tenant-facing chatbot and the internal interface for teams to streamline communication for all parties involved. The chatbot bridged the gap, providing accurate information and guiding users through the property search process with ease.
By the end of the project, I surpassed expectations, achieving a 30% increase in conversions across multiple properties. Below, I share key highlights from the creation of this AI-powered chatbot and internal tools, delivering measurable results for the business.
Begin with a welcome introduction to start your chat.
The chatbot avatar greets users with a welcome message and prompts them to start the chat. It then asks if the user is a current resident, prompting a 'Yes' or 'No' selection to continue.
Schedule tours, complete guest cards, and submit applications with ease.
Forms are conveniently sent through the chatbot to schedule a tour or complete guest card details, along with a direct link to start an application for the property.
Connect with a live agent for further assistance.
The chatbot shows a typing indicator and connects users to a leasing agent or manager upon request.
Find solutions quick through the FAQ.
Easily access all commonly asked questions about the property.
Share feedback and easily start a new conversation.
Users can provide positive or negative feedback about the chatbot and start a new chat to continue.
Track and monitor all chatbot conversation logs.
Leasing agents can directly communicate with customers here. Easily toggle between user and chat details in the side panel for more insights.
Enrich AI responses by providing context.
Equip AI with property-specific details and rules to deliver accurate, up-to-date information to users.
Product Level Impact
30%
40s
+1,000
increase in conversion rates for
tour bookings and applications
drop in average response time from a live agent - down from 2 min
conversations reviewed by
admins in a single month
Discovery
Ideation
Design
Results
Learnings & Reflections