In our last installment of this 9-part series, we shift from uncovering amenity “fails” to unlocking amenity pricing opportunities with A/B testing. How do you know if the price for a balcony, ceiling fan, or that coveted view is just right? The answer lies in leveraging your leasing data to simulate A/B testing, analyzing metrics like Days on Market, and applying statistical insights to ensure amenity pricing is optimized for demand. Here’s what you’ll learn: ✅ How to identify when an amenity’s value is too high, too low, or just right. ✅ Why Days on Market is the go-to metric for measuring leasing pace. ✅ How to use statistical tests to make data-backed pricing decisions with confidence. ✅ The importance of relying on your own clean data to avoid legal and scientific pitfalls. With the right tools and approach, your amenity pricing strategy can become a well-oiled, revenue-generating machine. Read the full post to learn how to make A/B testing work for you: https://bit.ly/4irMVfn
Real Estate Business Analytics (REBA)’s Post
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Got an answer? Dive into today's Question of the Day! David wants to use the GRM to find the value of the property. What data does David need to obtain from comparable properties to accurately calculate a GRM? A. Net income and the capitalization rate. B. Net income and selling price. C. Original cost and the annual income. D. Annual rent and the selling price. 𝗔𝗻𝘀𝘄𝗲𝗿: D. Annual rent and the selling price. 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 The gross rent multiplier (GRM) is calculated by dividing the monthly or annual gross rent into the selling price of the property.
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With the market conditions evolving, are you finding it harder to confidently price listings? 🤔 This introductory CMA class will get you on track and back on-target by showing you how to understand and use the pricing tools available in RPR. We’ll review the various options and provide resources that guide you to better assist buyers and sellers with their pricing decisions. Join us as we’ll cover: ✔️ The Automated Valuation Model (AVM) and Realtor Valuation Models® (RVM®) estimates in RPR ✔️ The Refined Value Tool, which allows you to adjust the RVM as you see fit ✔️ RPR’s easy 5-step CMA tool; the Comparative Analysis ✔️ Advanced searching for comparable properties by custom geographic areas, specific timeframes and more ✔️ Summarizing pricing considerations ✔️ Creating a nicely packaged report to share with clients After this webinar, you’ll have a better understanding of some of the nuances involved in the pricing discussions you’ll have with clients. rpr.me/cma-basics
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📆 Save the date! April 18, 2:00 p.m. ET. Discover how the evolution of consumer behavior in billing and payments can transform your business. Don't miss our insightful webinar - 'Swipe Right for Payment Knowledge: Unwrapping KUBRA's Consumer Research.' Your seat awaits: https://bit.ly/433stdv.
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Enterprise Business Development Executive focused on SaaS based solutions for Payments, Customer Experience and Customer Communications
📆 Save the date! April 18, 2:00 p.m. ET. Discover how the evolution of consumer behavior in billing and payments can transform your business. Don't miss our insightful webinar - 'Swipe Right for Payment Knowledge: Unwrapping KUBRA's Consumer Research.' Your seat awaits: https://lnkd.in/g4NmUrFi.
📆 Save the date! April 18, 2:00 p.m. ET. Discover how the evolution of consumer behavior in billing and payments can transform your business. Don't miss our insightful webinar - 'Swipe Right for Payment Knowledge: Unwrapping KUBRA's Consumer Research.' Your seat awaits: https://bit.ly/433stdv.
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📆 Save the date! April 18, 2:00 p.m. ET. Discover how the evolution of consumer behavior in billing and payments can transform your business. Don't miss our insightful webinar - 'Swipe Right for Payment Knowledge: Unwrapping KUBRA's Consumer Research.' Your seat awaits: https://lnkd.in/eCWrykA3.
📆 Save the date! April 18, 2:00 p.m. ET. Discover how the evolution of consumer behavior in billing and payments can transform your business. Don't miss our insightful webinar - 'Swipe Right for Payment Knowledge: Unwrapping KUBRA's Consumer Research.' Your seat awaits: https://bit.ly/433stdv.
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Week 1 Pass Rate Over Expected Data Find out which teams want to air it out and which want to run the rock. Useful information when making start/sit decisions, waiver-wire moves, and trades. https://icont.ac/50akH
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If you are interested in Payer MRFs and have 3 minutes, here is a quick example of search engine technology applied to payer MRFs. We've loaded the country to make it easy for our customers. #deerhold #ContractRateExploreer #MRFInsights
Contract Rate Explorer Powered by MRF Insights 🦌
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Entry-Level Data Scientist | SQL, Python, R, Big Data, Deep Learning | ex Operations Manager
When calculating figures such as weight, price, or length, rounding to 2 decimal places is the norm. However, for counts of people, countries, cities, and buildings—things that occur as wholes—decimal places shouldn’t be used; round the figures up or down. Here are some useful functions for rounding: round(y, x) - Rounds y to x decimal places. Example: round(7.85644, 2) = 7.86 ceil(y) - Always rounds y up to the nearest integer. Example: ceil(3.4965) = 4 floor(y) - Always rounds y down to the nearest integer. Example: floor(3.4965) = 3 You can also use the round() function to automatically round up or down based on the first decimal place. Values up to .4 are rounded down, while .5 and above are rounded up. Examples: round(3.4965) = 3 round(3.6222) = 4 Understanding these rounding functions can help ensure accuracy and consistency in both financial calculations and data analysis.
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New Post: How (and why) to calculate award redemption values - https://lnkd.in/gfPhK33e
