Marc Rutzen’s Post

You can now compare #multifamily renewal rates and application performance using 100% public data. Like HelloData's rent, concession, and leasing activity, this information is updated daily so users stay up-to-date on what's happening in their markets. See a preview in Marc's post below!

Wahi’s new AI tool lets homebuyers search by image features, as Realtors adopt similar technology, marking a broader shift toward AI in real estate. Learn more here: https://lnkd.in/gArBrSgp

The most amazing LTV may be useless if you dont have this one thing I was recently talking to a developer who had incredible metrics. Great retention Amazing monetization. Therefore an extremely strong LTV. On paper, ready for explosive growth. Yet, my advice to them was simple: don’t go big just yet. Here’s why: Even with an outstanding LTV, cash flow is king. If you don’t have the liquidity, you risk running out of runway. Especially if your product has strong downstream monetization… so you make your money back 3, 6 or 12 months after a user installs. My recommendation to them? Stay prudent. Operate with a conservative budget. Go big once you’re confident that your cash flow has some buffer. LTV tells you the potential value of your customers, but cash is what keeps the lights on. So, before you go all in, keep in mind: the world’s best LTV is useless without cash.

🚀 Shape the Future of Real Estate Technology with Global Data Route Analytics! 🌍📱 🌟 Explore the Global Real Estate Apps Market (2016-2034) – a booming industry reshaping how we buy, sell, and manage properties. 🔍 PESTEL Analysis Highlights: Political: Supportive government regulations encouraging digital transformation in real estate transactions 🏛️📜 Economic: Growing disposable income and increased smartphone penetration boosting demand for real estate apps 📱💰 Social: Rising consumer preference for on-the-go property searches and virtual tours 🏡🎥 Technological: Advancements in AI, AR/VR, and Big Data enhancing app functionality and user experience 🤖📊 Environmental: Increased focus on apps promoting energy-efficient and sustainable property choices 🌱🌏 Legal: Stricter data privacy laws ensuring secure and transparent app transactions 🔒🛡️ 📢 FREE Sample Reports Available! 💡 At Global Data Route Analytics, we specialize in market research that helps you stay ahead of the curve. Whether you're a developer, investor, or strategist, our insights deliver unmatched value. 🖱️ Contact Us Today! 📧 Email: [email protected] 🌐 Website: https://lnkd.in/gzi3xjY9 📥 Request your FREE sample report today and stay ahead in the Real Estate Apps Market! ✨ Let’s redefine real estate with innovation! #MarketResearch 📈 #RealEstateApps 🏡📱 #DigitalTransformation 💻 #Sustainability 🌱 #Innovation 🚀 #AIinRealEstate 🤖 #BusinessInsights 💡

Meet HomeScore (C2 Summer ‘24), your AI platform for smarter homebuying. Founded by Jared Rosen and Sharat C., HomeScore is an AI-enabled program that helps buyers navigate the home buying & transaction process from search to signature. They are reimagining the home buying journey with transparency, credibility and affordability at its heart. 67% of Americans are anxious and unsatisfied about the home buying process, and the recent NAR settlement is poised to reimagine the buyer/agent relationship. Through AI-enabled data analysis, HomeScore helps serious homebuyers make smarter decisions and save money with step-by-step guidance. As a result, realtors can take on more clients and investors can get access to “Walls-In” quality & condition property data. Learn more: https://www.homescore.co/ We'll be posting more about our 2nd cohort companies over the next few weeks. Stay tuned! #C10Labs #C2 #AI #RealEstate

🚧📄See how Vervint helped Cat Financial create an online application that improved the digital experience, turning leads into lifelong customers. Their journey exemplifies the power of customer experience design in reshaping customer interactions. Learn more below. https://lnkd.in/eUNNgzRB

Go download the EDEN app and see what AI and reduced realtor fees can do for your homebuying experience! See below for link to download.

Why an ideal ML model is not enough to build a business around ML In 2021, Zillow — one of the largest real estate marketplaces in the United States — announced a 25% reduction in staff and wrote off $304 million in losses. Following the news, Zillow's stock plummeted. What went wrong? A significant part of Zillow's business at that time was built around machine learning technologies that very accurately predicted the current value of real estate. And even though the ML models themselves were good and of high quality, their integration into business processes turned out to be almost catastrophic. How this came to be? Zillow has a well-known service called Zestimate, which allows homeowners to track the value of their property in real time. To provide accurate forecasts it uses ML models. Initially, Zestimate was developed as a mechanism to increase marketplace retention. After all, people usually visit Zillow when they want to buy or sell a home. However, tracking the value of one's home on a regular basis is a perfectly valid monthly use case that can easily become a habit. In 2018, Zillow decided to launch a new direction of work based on the developments for Zestimate. The marketplace began purchasing homes to resell them at higher prices at a later date. The value of the new product for users was the ability to close a home sale deal very quickly. After that, Zillow planned to renovate the home and sell it at a markup. The idea was not original, but Zillow had advantages over competitors: access to capital and highly accurate ML models for predicting home values. But the business model built around ML did not work out. In 2021, the company announced the closure of its home-buying program, laid off a quarter of its employees, and wrote off colossal losses. The problem was not so much with the ML models themselves as with how they were integrated into the business. The models were good at evaluating the current value of homes. However, the transactions for buying and subsequently selling homes take time, during which the value of the homes can change significantly. This is exactly what happened in 2021, when the real estate market cooled down due to a series of global economic processes, and the relationships between home characteristics and their values changed. All of this led to approximately two-thirds of the purchased homes being bought at higher prices than their potential selling prices. Conclusions? The success of a business built around ML depends not only on the machine learning technologies and the quality of the models. It is crucial to properly implement these models into the business. The risk of failure arises from erroneous assumptions that are not related to machine learning. So, what can you do to avoid such mistakes? Ask yourself: -Are your ML models provided with sufficient monitoring and updates? -Are there hidden risks outside of ML that can significantly impact the business?

🚨 You Must Change Your Digital Strategy 🚨 With AI-driven tools like https://hubs.li/Q02NTgz30 and changes in Google Search, users are getting summarized answers directly from search results. For mortgage bankers, this means fewer people will be landing on your website via organic search. In our latest blog, we explore how this shift could affect Mortgage Banker’s SEO, AdWords spend, and overall marketing approach. More importantly, we share practical steps you can take to stay ahead of the curve. 👉 https://hubs.li/Q02NTxfm0 ❓How are you changing your approach to marketing to be ready for this major change to how mortgage shoppers use the web? Interested in learning more about our Production Optimization Platform that streamlines the speed and quality of loan manufacturing? Visit https://hubs.li/Q02NTpdX0 #SEO #MarketingStrategy #MortgageBanking #AI #AdWords #TheWilqoWay