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Upgrading Customer Communication for Home Services with Justin Clegg

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Manage episode 330673654 series 2662701
コンテンツは Chad Burmeister によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Chad Burmeister またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

On this episode of the AI for Sales Podcast, Chad is joined by Justin Clegg, Founder and CEO of Allset. He talks about the disjointed communication experience dealing with home services especially when compared against the efficiency of food delivery apps.

As things are, it’s not as easy to communicate with plumbers or carpet cleaners after receiving their service. He shares how Allset addresses this and how AI is being integrated within the platform. He also talks about experimenting with tipping through SMS as a way to increase revenue.

HIGHLIGHTS

  • How Allset helps businesses in customer communication experience
  • Tipping is explored and enhanced through the platform
  • The potential of predictive analytics to be used even more
  • Continuing to unlock revenue for home service businesses

QUOTES

Justin: "You can open up your phone, get a meal delivered, or have groceries brought to you within a 30 to 45-minute period yet when it comes to communicating with your plumber or window washer, there's this disjointed and fragmented technology experience."

Justin: "With Allset, we received a lot of customers who will actually reply back with feedback. They will share questions and ask for return visits beyond just tipping or leaving a review or referral. With all of that unstructured feedback, we are now enabling customers to communicate with these home-service professionals."

Justin: "You have things like user management and conversation management. Understanding what type of conversations are taking place on our platform and then the analytics that follows that. Everything from response times to deliverability rates, to managing tens and thousands of concurrent messages."

Learn more about Justin and connect with him in the links below:

  continue reading

194 つのエピソード

Artwork
iconシェア
 
Manage episode 330673654 series 2662701
コンテンツは Chad Burmeister によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Chad Burmeister またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

On this episode of the AI for Sales Podcast, Chad is joined by Justin Clegg, Founder and CEO of Allset. He talks about the disjointed communication experience dealing with home services especially when compared against the efficiency of food delivery apps.

As things are, it’s not as easy to communicate with plumbers or carpet cleaners after receiving their service. He shares how Allset addresses this and how AI is being integrated within the platform. He also talks about experimenting with tipping through SMS as a way to increase revenue.

HIGHLIGHTS

  • How Allset helps businesses in customer communication experience
  • Tipping is explored and enhanced through the platform
  • The potential of predictive analytics to be used even more
  • Continuing to unlock revenue for home service businesses

QUOTES

Justin: "You can open up your phone, get a meal delivered, or have groceries brought to you within a 30 to 45-minute period yet when it comes to communicating with your plumber or window washer, there's this disjointed and fragmented technology experience."

Justin: "With Allset, we received a lot of customers who will actually reply back with feedback. They will share questions and ask for return visits beyond just tipping or leaving a review or referral. With all of that unstructured feedback, we are now enabling customers to communicate with these home-service professionals."

Justin: "You have things like user management and conversation management. Understanding what type of conversations are taking place on our platform and then the analytics that follows that. Everything from response times to deliverability rates, to managing tens and thousands of concurrent messages."

Learn more about Justin and connect with him in the links below:

  continue reading

194 つのエピソード

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