So, good morning, good morning, good morning, it’s me again. So today I’m going to talk about the best use for rental dashboard. So in this power call, I want to walk you through these amazing tools and how it can benefits all three parties involved into this. So especially for renter, landlord and FastFast agent. But on this power call I want to provide details, explanations of the best use for only two parties, so, renter and landlord. And in addition to that, I will show you some of the scenario where we can use each of them be more effectively utilized for your clients. So, let’s start. So for this dashboard, right, so you can see that who benefit the most is the three party, right? But I will start with the renter first. So for rental dashboard, it actually helped the landlord to set apart from providing a realistic expectation when finding their dream homes. So no more falling apart on a rental facing unexpected cost and also to help the client to educate and also discover the perfect spot that their needs and budget. So from the top of my head, I can think of a few dashboard that can actually compare the client requirements vs. Reality in the case of budget, locations, median rental price and rental price per square meters. And also you can also educate them on this market negotiation price as well. And next is the landlord, right? The landlord can benefit for having just very similar to the rental guide to actually buy their site. So the dashboard also review that actual rental price for similar condos, also the rental price for that other unit might have that we have closed or other project that actually benefit them most. And a perfect explanation to that is actually to attract tenants and buy data. And you can see that some use case that actually can be used is that to target rental clients like areas vs. Nationality. So that’s what we have in Bangkok. So we know that in some area in Bangkok like in Tonglo, they actually attract a lot of Japanese clients where we have somewhere in Pompong or Sukumbit 39, they actually attract more westerner and then Rama nine which is more attractable to Chinese client or some example like that. Also we can give example of expected listed price vs. Actual market transacted data that we closed for the last six months. On another useful case is average listed price to due date as well. And if you can see on the dashboard we have the median listed date that you can actually show to the clients that if you list it with FastFast how long they can be average on the market and from listed date to the deal close date. And like Christian was saying yesterday, that you can average on the ROI which is the return of investment for investor or the landlord that want to know how much their property can generate during the rental terms as well. And last but not least for rental agents, so you would get kind of like exclusive access to the rental data, which actually is in reality. So this market data actually gives you the market insight where you can confidently guide your clients to the best deal in town, closing a deal faster than ever. With the rental dashboard, you have access to the most accurate data that actually FastFast provide and also a real life information where you can talk confidently with the clients to make this negotiation process or education process run more smoother. So only a solid and reliable information that we want to provide to the clients. Right? 1 second. So let me give you some of the scenario that you can use for renter here. As you can see that you can meet Agent Boom. He’s FastFast agent been with FastFast for a while now. He got the inquiry from the clients. And as you can see that I’m searching for a one bedrooms apartment with the size of 50 m², preferably a corner unit because he liked to face the southwest to enjoy the breeze and the catching up the sun of Bangkok. And of course it must have an oven, a dishwasher, a washer dryer and a brand new bed. Look very important. Can’t forget the bathtub too. Okay, that’s good. Let’s see the budget. Okay, budget is 20,000. Here’s a punchline. I’m really excited to see as many property as possible this weekend, which is in today warm to regard Mr. Dickheads. Cool. So this is what Agent Boom before the dashboard. So Agent Boom respond to the client. Dear Mr. Dickhead, sorry, thank you for your inquiry. Your search is not founded by so that’s what Agent Boom is like pre rental dashboard and post rental dashboard. This is what Agent Boom would like to say to him. So with the backup data from real data that actually came in for Fastwas, agent Boom actually sent back the emails to Mr. Dick’s head that’s saying that I’m exciting to help him. Based on data of one bedroom, apartments are around actually 18,000 to 20,000 and then they have amenities that you want, including bathtub. So let’s explore them together this week. So I actually created urgency for them as well. And also I went back to them and asked a few questions because from that email, I didn’t know where in Bangkok. Bangkok is 3000 condos. Right? So you don’t know where in Bangkok. And also I’m flexing the clients that are you available to flex your budget and bedroom size? And also I give them the final punchline saying that we wish that it’s actually smooth and simple. And very importantly, I attach them with the rental data dashboard for his reference. So this actually kind of like solid and reliable evidence that you can talk to your client and saying that this is real life based on our data that we have closed during the six months. So as you can see that to recap this one. So what I did is that I show him the median price for one bedrooms in Bangkok, which is around 18 to 20,000 bart per month. I have showed him that also that I have 18 unit option that I can show you them between this range, right? And then I ask for also area preference. So I start asking questions to them as well. And then last but not least and very important, I highlight the dashboard attachment for their reference. So this is how I would do with the tenants renter. Sorry, moving on to the landlord side, as you can see that. So this is Agent Boom, right? So say hi. This is Agent Boom from FastFast. May I know if your unit at Live from Manina? So it’s still available? And I said yes, it is. Lalo said, yes, it is. So what’s your client budget? It’s three months. So now Lalos start to talk because they want to kind of gaming your intelligence data. So you can see that when’s your client moving in, what’s your client nationality? After a few hours, after talking on the phone, the price is non negotiable at 35K. But deep in my mind I know that life asokramanine are listed between 20 to 30. So I said to Mr. Landlord saying that okay, thank you, let me confirm with my client and get back to you soon. So you can see that in my head I will say that you want to overprice home just to see how to go. Give me a second. Hold on. No, right, so that’s actually pre rental dashboard data and post rental sorry for that excuse for that word. So post rental dashboard. So with the data backup that I can talk confident to the landlord saying that okay. Hey, Mr. Dickhead. This is Boom from FastFast Again. I’m calling to recheck if the Live unit at life number nine is still available. And the landlord replied to me, yes, it is….
Continue readingTransactional Data Sales Use Case
You can use both dashboards for that. So when using both dashboards, it will help you to identify which type of property in a certain area will generate the best ROI for your client. This is based on the data that we have recorded so far within Phosphas. So it’s not 100% accurate at this point, but it gives you a very clear indication and you can show it and explain it very clearly to your client. There are basically two steps involved. First, we look up property prices in the sales dashboard based on the completed needs assessment. Completed needs assessment. Brandon has done a call. We had multiple workshops on that and is really crucial to understand what your client is looking for and to flex them accordingly as well to open up options. Second step would be to look up the rental prices in the rental dashboard with the same parameters and calculate the average ROI. And let me give you an example. Let’s assume we had a client and we have completed our needs assessment and we found out the following requirements client is interested in Phuket Changtale area or nearby. They want a house in the project, must be off plan because they want to design it themselves, want to have various things changed. It should be at least three bedroom, but preferably four bedrooms because the client thinks it might be better to rent out. The max budget is 30 million Thai bar, which is not possible to increase. It’s a pure investment for the next ten years, and they really want the highest possible return of investment. So let me show you what I have done. At first I was checking four bedrooms, and what I did is basically I’ve chosen the region, I have chosen the property type, I’ve changed the status to off plan and chosen four bedrooms. So seeing that, the dashboard shows me basically the areas where fastbus agents have sold four bedroom villas, and I can see already the median sales price is 35.1, which is obviously too high for our client. However, if you go to regions and subregions, you see very clearly there is one area which is called Sisunton at 28.6 million in average for four bedroom villa. And then we have Chung Tali, which was the main area that the client is interested in at 35.2 million. Cson Ton is basically more or less chunk Tale nearly it’s right away the border. You have the same distance nearly to Boat Avenue, et cetera. So this area would be okay for the client. Casatati, or however you pronounce it, is a little bit further out and is also way overpriced. Even Chung Tale is too expensive, but C Sunton could be an option. However, our client also said three bedroom is enough for them. So the prices here in Chungtale are 28.2, and in C Sunton 20.6 million. So three bedroom. We could find something in both areas, but as you can see already season ton is an average 23% to 27% cheaper than Shanghai. And now it’s interesting to see if we go to the rental dashboard to use the same parameters and see how the average rental prices are. How do I okay, so again, we have chosen Phuket as a region. We have looked now at Changtale and Sisunton as a sub region, specifically property type houses and project. Again, four bedrooms. As you can see here, Changtale is even a little bit cheaper based on our recorded deals than Ceonton, which makes it very interesting as we obviously get a higher return, three bedroom options. Jungtalier is more expensive than Cecil, so let’s calculate our average hour ion dose to get a clear understanding where we stand. You can just basically calculate a simple math, but based on the sales price and the average rental price, four bedroom villas in Chungtali averaging around 6.6% annual rental return, and Cson ton houses 8.3, which is very impressive. Going to the three bedrooms, the returns are a little bit lower. Based on our data, changtali 5.2, Csoanton 4.4%. Based on the market, the four bedroom houses stayed a little bit longer, but in average one and a half months, it’s not really long. And we can see there’s clearly a high demand as well. So, based on that, our conclusion and our conclusion is based on our clients requirements and our recorded data, four bedroom houses generating higher returns than three bedroom houses, and houses in Csoanton have higher returns due to the lower purchase price. And there’s also like a big demand in Cecenton. There are many different projects where we are selling very well, and also our clients asking a lot for rental properties there. So I would recommend to this sort of client a four bedroom house in C Sulton. However, keep in mind, the data that we tracked so far is only the 2023 data. So it’s not 100%, but it gives you a clear indication when a client really wants to talk about returns. And you can tell them not just it’s around this or this, you can really go into the dashboard and say, based on the transaction that we have completed at Fastballs with our agents, this is what we’re achieving at the moment, building up on this call. Next week, I will run you through our rental calculator, where you can basically go into more details and include any fees that arise, like furniture package, one time fees, like sinking funds, et cetera, et cetera. So you can basically really calculate it 100% accurate and give a client a very clear answer in terms of what’s possible to achieve. So I hope you enjoyed that a little bit and it’s going to help you in the future make use of this dashboard. It’s, for me personally, something that I would use day to day, because you can really tell clients what is selling for what prices, what is renting for what prices, where’s a high demand and a lot more where we go into more detail in the next few calls. Thank you. Enjoy your day and good luck.
Continue readingTransactional Data Use Case
So we have a transaction sheet where we basically collect all the sales transactions, right? Sales, rental, transaction, everything you guys sell, all the leads that you close are tracked within the transaction data report, right? So I looked at the transaction data report, got my head around it, right? Tried to understand, okay, how can we basically take that report and give you something actionable which you guys then can use to service your clients better? And we came up after a couple of weeks of playing around, like, speaking to different people, different agents. Brandon we created a sales transaction report, right? So if you look, we actually created two reports. One is the sales transaction report and one is the rentals transaction report, right? Same concept. Like, all your transactions from the year 2023 are saved here, right? So for the sales transaction report, all the regional sales agents will have access. So basically, if you in Pukett, you’re a sales agent, you will have access to the poket data for sales and for rental. Why also rentals? Because we know that some of the clients, when they buy a property, they’re also looking at their yield opportunity, right? How much can I sell out my property? How much do similar properties rent out in the market? Right? So this data is like basically source of truth, right? So if you have a conversation with a client and they’re looking for something specific, very simple, very straightforward to tell them, hey, actually this is the data, right? This is actually the sales data in the market. And before I show you the sales report transaction report, let’s look at an example, right? We have an expert couple in Phuket. They’re looking to rent a two bedroom condo, preferably in Kamala Patong Karon, and they’re looking at minimum 75 square meter, and their budget is somewhere between 30 to month, right? So this is like an example, and we’re going to look at the dashboard now to see how the dashboard can help us in providing them with some interesting insights. So this is the rentals dashboard. As you can see here, here at the top, you can see there are various filters. So here you have a unit size square meter filter. So based on the couple, I think they were looking for like 75 square meter minimum. So let’s select 75. So we start with 70. Then we said they’re looking to rent in Phuket. Then they’re looking for the two bedroom apartment. And you can see already, I haven’t selected the sub regions. Right? So you could also select obviously the subregions Kamala Patong. I haven’t selected them. And you can already see that the median rental price for a two bedroom apartment is 50,000, right? So that’s already above their budget, right? So what would be the first conversation you could have with the client? Hey, actually, for apartments in Phuket with your requirements, the median price is actually 50,000, but right, but that doesn’t mean we can’t find them something, right? So let’s select condo property type. How you can see the price went down a little bit already when you select the actual property type. So we can see 48.5 is the actual median price, rental price in Phuket. And here you can already check the different regions within Phuket. And you can see AHA, Kamala is 43, Patong is 50, karen is 47. Right. So you can already get a glimpse of what’s the medium price range is this something you can discuss with your client or not? And then if we look at the second tab here, then you can already see some of the projects and for what price they were going for. Right? So if we say like the client was looking for 30 to 35,000 rental price, then we can use the rental price slide filter bar, and then you can see all properties which are below his targeted price range. Right, so then moving forward again, what could you tell him? Oh, actually these are a couple of projects which fit your price range based on the sales data we have available, right? That would be one thing. The other thing could be you go to the next tab here and you see the days on the market, right? So if you could say, for example, oh, there is this project called Beverly Hills, but actually, if there’s a unit available, it goes out very fast. So you can create some sense of urgency for your clients. Right? So these are the basic functionalities. Over the next couple of days, Boom and Daryl will show you some other use cases. And I assume that you guys yourself will create your own use cases, right? So I will create a group, a Google Chat group, where you guys can give me feedback about functionalities, about things that don’t work, that work, things you would like to see improved. This is like a work in progress. And obviously I need your feedback because you are the guys who are going to use it in terms of making the dashboard better, right? It’s really important for me to get feedback from you guys in terms of what should we improve, should we change? So we make it a powerful and useful tool for you guys, right? One more thing. You can actually, if you have a client and you found something interesting in your report, you can simply download the report and share it with your client. I’m not sure how many of you guys use an iPad for your viewings, but let’s say you do. You can easily access the rentals or sales report on your iPad, bring it to the viewing, show the client he can play around, you can even send him the report when you download the report as a PDF and you can forward it to your client. That’s it from my end for today. You already have access to the report. As I said, once I send out the email to you guys to recap this meeting, I will share the links to both rental transaction report, sales transaction report and then if there’s any issues, you can always email me. And like I said, we will create a group and then hopefully you guys can provide me with lots of feedback. And also if you want to share use cases if you found something interesting which you want to share with the team, it’s also like a forum then to share your experience with using the tool. That’s it for today, thanks again for your time and hopefully you will find this report useful. Thank you and have a great day.
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