47 min
Listing Bits Episode 77: Using Showing Data to Guide Decision making with Wes Hartman of Showingly Listing Bits
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- Business
Most showing management software aggregates data. But how useful is it to get a report at the end of the month?
What if the data was presented in a way that helped agents answer seller questions in real time and make informed choices based on the numbers?
Wes Hartman is CEO of Showingly, a showing management solution that uses data and analytics to guide better decision-making.
On this episode of Listing Bits, Wes walks us through the key metrics Showingly looks at to drive pricing decisions and marketing strategy for a property.
Wes explains how Showingly is aggregating showing, offer and closed data to determine the best day and time to list a home and explores what simple things a seller can adjust to secure more showings.
Listen in to understand how the desire for choice might impact the future of showing management software and find out if Showingly’s approach is right for your brokerage or MLS.
What’s Discussed:
Wes’ background as an aspiring fighter pilot, professional cyclist, real estate agent and tech vendor
How Showingly’s use of data to guide decision-making differentiates it from other showing management solutions
The key metrics Showingly looks at to drive pricing decisions and marketing strategy for a property
What Wes’ team is doing to get honest feedback on a property (and why that’s such a challenge)
How Showingly uses showing, offer and closed data to determine the best day and time to list a home
How sellers might adjust pricing and Open House hours to get more showings
Wes’ take on the future of showing management software
Showing Hub’s solution to the demand for choice in showing management software
Why Wes is focused on building relationships with brokerages, MLSs and other showing management providers
How Wes thinks about MLSs building their own showing solutions and why competition drives innovation
Connect with Wes:
Showingly
Email wes@showingly.com
Resources:
ShowingTime
Showing Hub
TourZazz
Our Sponsor:
Cloud CMA for Brokers
Most showing management software aggregates data. But how useful is it to get a report at the end of the month?
What if the data was presented in a way that helped agents answer seller questions in real time and make informed choices based on the numbers?
Wes Hartman is CEO of Showingly, a showing management solution that uses data and analytics to guide better decision-making.
On this episode of Listing Bits, Wes walks us through the key metrics Showingly looks at to drive pricing decisions and marketing strategy for a property.
Wes explains how Showingly is aggregating showing, offer and closed data to determine the best day and time to list a home and explores what simple things a seller can adjust to secure more showings.
Listen in to understand how the desire for choice might impact the future of showing management software and find out if Showingly’s approach is right for your brokerage or MLS.
What’s Discussed:
Wes’ background as an aspiring fighter pilot, professional cyclist, real estate agent and tech vendor
How Showingly’s use of data to guide decision-making differentiates it from other showing management solutions
The key metrics Showingly looks at to drive pricing decisions and marketing strategy for a property
What Wes’ team is doing to get honest feedback on a property (and why that’s such a challenge)
How Showingly uses showing, offer and closed data to determine the best day and time to list a home
How sellers might adjust pricing and Open House hours to get more showings
Wes’ take on the future of showing management software
Showing Hub’s solution to the demand for choice in showing management software
Why Wes is focused on building relationships with brokerages, MLSs and other showing management providers
How Wes thinks about MLSs building their own showing solutions and why competition drives innovation
Connect with Wes:
Showingly
Email wes@showingly.com
Resources:
ShowingTime
Showing Hub
TourZazz
Our Sponsor:
Cloud CMA for Brokers
47 min