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What is the ideal amount to pay for the web service?

 

What is the ideal amount to pay for the web service?

Are you a broker and have always tried to find out what is the ideal amount to pay for the web service? Perhaps you still haven’t found the answer, because it’s impossible to categorically determine the price of a job like this. After all, this will depend on different factors and, mainly, on your business objective.

To estimate how much is worth investing in a web service, it is important to know how to calculate the ROI (Return on Investment) of each stock. For example, you can measure ROI in different areas such as real estate portals or web videos.
Want to understand this better? So, follow today’s post and find out what is the ideal amount to pay for the web service.

Why hire web service?

Everyone agrees that the internet is changing the way people do business. And, of course, the real estate sector was not left out of this. With digital marketing, a broker can measure and evaluate the result of their work, such as the number of visitors to a website and their consumption behavior.

The possibility of monitoring the performance of an action is precisely one of the advantages of online in relation to traditional marketing. From the analysis of data collected on the web, professionals in the field extract insights that can help them make smarter decisions. In an increasingly connected world, it doesn’t make sense to give up this kind of information, does it?

What is ROI?

The acronym ROI stands for Return on Investment. In other words, it is through this metric that you are able to know how much money you are making or losing on each stock. While this type of calculation has been used by traditional marketing for a long time, it has been more prominent in online because of the ease of tracking the data.

ROI can be calculated based on the equation below:
ROI = (investment profit – investment cost) / investment cost
for example, if you invested R$10k and earned R$30,000, your return on investment was 2 times the initial value.
ROI = (30.000 – 10.000)/ 10.000
ROI = 2
If you want to calculate the number as a percentage, just multiply it by 100. It is worth remembering, however, that profit is not the total gain in sales. It’s the profit margin on each sale, right?

How to calculate it?

ROI of real estate portals

To know the ROI of real estate portals, it is necessary to pay attention to some indicators such as:

  • number of potential customers from each real estate portal;
  • number of sales made from each ad;
  • Required amount of potential customers to generate a sale.

It is essential to write down these numbers for a few months so that the information corresponds to reality. Don’t forget to take the average value into account, as some periods may exhibit unusual behavior.
From this information, you are able to know how much it costs to generate 01 potential customer in a real estate portal and, thus, plan your investment in ads more efficiently.

ROI of web videos

As each customer behaves differently when watching a video, the tip is to use the Lifetime Value (LTV) to estimate its value in the medium and long term. To do this, use the following formula:
LTV = average ticket of orders x average retention time x average amount of purchases per user
Another good suggestion is to calculate the ROI of each movie in the campaign separately, so that you know which one had the best yield.

Use the equation below to calculate the ROI of videos:
ROI = (value of sales achieved with the media – investment in media) / investment in media x LTV
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Robot Realtor and Its Rise

 

https://blog.aocubo.com/wp-content/uploads/2018/07/19-1f031-robot-web.jpg

Robot real estate is already a reality! These days, investing a lot of money in new alternative technologies and business models to reverse traditional real estate transactions is now too big to ignore.
A few years ago, when a tool that allows you to buy and sell real estate online without talking to a realtor, real estate, developer and builder was announced in the United States, few were surprised by the idea. Nowadays, this robot real estate broker tool is used a lot.

+ 4 habits for realtors to succeed in sales

Tools that also help brokers

Fortunately, there’s also a lot of money being invested in technologies that real estate agents don’t ignore. From CRMs to catboats (a computer program that tries to simulate a human being in conversation with people), brokers have more computing power at their disposal than any industry analyst would have had a decade ago.

In this age of applications, brokerage professionals are armed and ready to fight the buying model made by people who don’t really like the idea of ​​being accompanied by a real estate agent. And to show consumers that while the relationship between broker and buyer is indeed changing, a property license is worth much more than paper that is printed.

How to Adopt Automation without Becoming a Robot Real Estate Broker

In many parts of the world, real estate businesses are affected by a shortage of realtors. Homeowners are staying in properties longer, mortgage rates are rising (twice this year already), and home prices are following suit.
With fewer real estate opportunities, real estate agents are in increasing demand to ensure they market and sell a home without hiccups. After all, listing contracts don’t last very long. Meeting these demands can jeopardize the time that real estate agents commit to buying clients to find new properties.

Tools are working together with brokers

Fortunately, sales automation tools, including Web and Messenger catboats, automated drip campaigns, and even online redirected advertising, can work together to track and cultivate leads, often without any form of manual intervention – even time to sign a contract.
While the machines are doing their part to find leads, brokers can focus on real estate and customer relationships, easing the pressure of balancing the search for new business with maintaining current business.

How to Become a Real Estate Broker

Technology will really change the relationship between brokers and buyers. Just as she managed to create the robot real estate broker, it will transform real estate agents into more service-oriented professionals with a strategic vision. And that’s a good thing, as consumers will see how complicated it can be to apply market data to an actual buying decision, further reinforcing the need for an experienced, trusted advisor.
For example, it’s unreasonable to assume that real estate visits without realtors gain traction as live video tours and augmented reality immerse realtors and buyers in far-away properties, and consumer sites share volumes of data about neighborhoods.

Traditionally, conducting tours with shoppers was largely about acquiring causes. However, there’s no reason the technology can’t determine this, freeing agents to allow buyers to view homes on their own, relay information, and then allow the agent to help them decide how they fit into their searches.

No industry stakeholder is immune to the impact technology is having on the relationship between consumer and broker – it is indeed changing, but by what, no one is quite sure. We know consumers now have real alternatives to the traditional model, even if it takes time to shake off the wrinkles on the buyer platform.

But as market annoyances take at least two years to resolve, software developers and savvy web agents will continue to leverage marketing data, automation platforms and big data to perpetuate the value of a real estate license. The day of the robot real estate broker is not upon us, thankfully. And, by continuing to be a valuable and trusted resource for your customers, agents can keep them at bay a little longer.