How a health tech startup enabled patients to proactively receive clinical assistance during COVID

Kayros is a startup that provides support for clinical analysis patients through digital channels, like WhatsApp, Instagram, and Facebook, making it affordable for small organizations by scaling up with the use of Artificial Intelligence.

50%+
Completed Patient Conversations
50%+
Completed Patient Conversations
company

Kayros provides support for clinical analysis patients through digital channels.

HEADQUARTERS

Argentina, South America 🇦🇷

Employees

10+

INDUSTRY

Healthtech

50%+
Completed Patient Conversations
company

Kayros provides support for clinical analysis patients through digital channels.

HEADQUARTERS

Argentina, South America 🇦🇷

Employees

10+

INDUSTRY

Healthtech

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landbot case study challenge
THE CHALLENGE

Scaling clinical support and answering patient queries in time using WhatsApp Web

Globally, the SARS-CoV-2 pandemic has caused a dramatic crisis in healthcare systems, affecting older people especially. Clinical labs faced a tough time addressing the unprecedented demand for clinical care and answering patient concerns, doubts and queries.

The manual overload on support operations

The support team was under constant stress as the pandemic began due to the flood of patient requests related to COVID. It was answering questions 24/7, and a lot of them were repetitive in nature.

We were using WhatsApp web on desktop and were limited to just one operator able to answer patients’ queries.

Leo Leon | Founder - Kayros

Setting patient expectations without compromising on experience

While the team was dedicated to helping the patients and going out of the way during a health crisis, it was getting harder to clearly establish out-of-office hours or segment the queries which required emergency support due to no particular structure.

Providing them with a channel where they can be informed proactively, decrease uncertainty and receive quick support using automation felt like the need of the hour.

The majority of the patients were elderly

Being presented with a use case of supporting partners in the pandemic, we had to act swiftly & respond fast to help our partners. Time to market was a key aspect for us.
landbot case study solution
THE SOLUTION

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

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Step 4 - Campaign assets submission, review & approval

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Step 5 - Campaign publishing and submission of post links for tracking

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A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

A conversational platform that automates, manages, and supports proactive healthcare interactions

While the Kayros team had basic knowledge about chatbot development from their past tinkering experiences, they knew they weren’t chatbot experts. Rising to the challenge required agility, quick development, and a dependable platform.

The reality in the market is the elderly are only comfortable with WhatsApp, and so it was important to extend our support to WhatsApp.

Enabling self-serve for our patients

Speed of reply is extremely important in healthcare, and Landbot helped us improve this by enabling self-serve and automating FAQs for our patients. It fit perfectly with our requirements:

No-code drag & drop builder

Rule-based flows

Team Inbox

I believe the future is no code and the key highlight for me with Landbot was the execution speed, thanks to the visual builder. Landbot was able to integrate with Airtable, Calendly, Google Sheets, and Zapier seamlessly.

Well-rounded app integrations and collaboration

Building a proactive conversational interface required integrating more than a handful of tools.

  • Real-time understanding of user intent, context, and phrases related to queries and clinical support using Dialogflow.
  • Airtable & Google Sheets to read, write and update user data. 
  • Zapier to integrate with all of the above mentioned

This was easily done using Landbot’s library of native integrations.

I worked with my co-founder in creating this chatbot and what really helped was the ability to share my workflow with him, to collaborate and work asynchronously.

The simplicity of No-code bundled with the complexity of code

The team utilized the no-code builder to create rule-based flows, which were re-used using the bricks functionality. Having the ability to test different experiences for developers and real patients made chatbot development easier.

customer 3rd person
My origins are in ecommerce where lead generation can be complex. Thanks to Landbot we achieved improvements of up to 400% in 3 months, with the same advertising expense.
Marco Borsani

Co-founder of Conversational Design

customer 2nd person
Landbot allow us to go beyond the simple concept of chatbot or livechat and to provide to our customer and even to ourselves a complete and immersive conversational experience.
Lara Petraglia

Marketing Manager at Conversational Design

landbot case study results
THE RESULTS

Kayros automated patient conversations leading to over 50% of completed conversations

Since, in the first wave of the pandemic, the ability to handle customer support requests was limited, launching a chatbot using Landbot on WhatsApp and Facebook helped Kayros proactively address user and partner concerns.

Reduced the First Response Time for patients

Healthcare support during COVID was strained. Providing correct info and being responsive became the highest priority; that is where the WhatsApp automation helped bring down the FRT for patients who qualified for urgent support.

We realized it’s not prudent to develop our chatbot from scratch when it’s easier to create a chatbot using no-code tools like Landbot and save time.

Increased the number of completed conversations to over 50%

The team allocated most of its resources to customer service and support. With every passing day, a new turn of events and developments around COVID restrictions led to an unprecedented surge in support requests which kept mounting and created a backlog.

FAQs and self-serve reduced the burden on our team; at the same time, the ability to transfer the chat to a human, using the human takeover feature, reduced confusion and anxiety for the patients, thereby improving the overall patient experience.

By using technology to their advantage, the team used the chatbot to self-serve support requests and reduce the service backlog.

Decentralizing a clinical support solution for other healthcare chambers and labs

At Kayros, we believe that Landbot can help healthcare administrators in clinical labs by reducing the time spent addressing patient complaints, support, and queries. We want to play a greater role in taking this to other clinical labs and automating what we were able to do for our clients.

Leo Leon | Founder - Kayros

BecomeYoo's second quote mobile Landbot case study
BecomeYoo's quote desktop Landbot case study
CAMPAIGN TYPE
Conversational Design Bot-Powered eCommerce Campaign for an aluminum planter manufacturer.
Conversational Design Graphic
RESULTS
Close to 5,000 chats with 40%+ conversion to lead and a CPL of 1.71€.
CAMPAIGN TYPE
Own Conversational Design Bot-Powered Facebook Campaign.
Conversational Design Graphic
RESULTS
Over 64% lead conversion with 345 completed chats out of 536, with a CPL of 2.44$.
CAMPAIGN TYPE
Landbot on a full landing page + integration with Active Campaign for the email marketing campaign.
RESULTS
From 6665 emails sent, the open email rate was 73.64%, and 61.97% of clicks.
CAMPAIGN TYPE
Levels of engagement - email marketing campaign
RESULTS
In red, the number of opened emails are the biggest slice of the pie chart.
LEADS GENERATED
Number of leads acquired using a standard landing page VS using Landbot for lead generation.
552
😑 Landing Page
3588
🏆 Landbot
4000
3000
2000
1000
500
0
RESULTS
552 leads acquired with a landing page VS 3,588 leads using Landbot.
COST PER LEAD (CPL)
Cost per lead results when using a landing page instead of using Landbot.
Landing Page 😒
CPL of over
650$
Landbot 🚀
CPL below 400$
RESULTS
CPL of over 650$ when using a landing page VS less than 400$ with Landbot.