Terrakotta is a web-phone that lets users speak with contacts and leave AI-generated voicemails when they don't answer. These voicemails dynamically sprinkle in personalized information that's relevant to the contact and are more likely to lead to a callback. It's an AI-powered data and dialing platform designed to accelerate commercial real estate prospecting. It allows users to source leads, make calls, and deliver personalized AI voicemails all in one solution.
Terrakotta
AI-powered web-phone for personalized voicemails and commercial real estate prospecting.
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What is Terrakotta?
How to use
Use Terrakotta to source commercial real estate leads, make calls through the web-phone, and leave personalized AI voicemails when contacts don't answer. The platform integrates data and dialing for efficient prospecting.
Core Features
- AI-powered data and dialing platform
- Personalized AI voicemails
- Commercial real estate GPT
- Automated dialing system
- Brokerage data solution
Use Cases
- Accelerating commercial real estate prospecting
- Generating real estate leads
- Improving callback rates with personalized voicemails
- Streamlining broker dialing processes
FAQ
What is Terrakotta?
Terrakotta is a web-phone that uses AI to personalize voicemails and help commercial real estate brokers accelerate their prospecting.
What are the key features of Terrakotta?
Key features include AI-powered data, a dialing platform, personalized AI voicemails, and tools for commercial real estate lead generation.
Who is Terrakotta best suited for?
Terrakotta is best suited for commercial real estate professionals looking to improve their prospecting efficiency and generate more leads.
Pricing
Pros & Cons
Pros
- AI-powered personalization increases callback rates
- All-in-one solution for lead sourcing and dialing
- Automated dialing saves time and effort
- Targets commercial real estate professionals specifically
Cons
- May require a learning curve to master all features
- Reliance on AI could reduce personal touch in some interactions
- Effectiveness depends on the quality of data and AI algorithms