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Leveraging Augmented Reality (AR) Marketing Strategies for Real Estate Campaigns

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Leveraging Augmented Reality (AR) Marketing Strategies for Real Estate Campaigns

Have you ever hunted Pokemon with Pokemon Go or used face filters while talking on Facetime? You may not have realized it, but these are some of the most popular examples of Augmented Reality, or simply AR.

AR has become increasingly popular as a powerful marketing tool to captivate and de­light customers. The number of AR device users worldwide is anticipated to reach 1.73 billion by the end of 2024!

Competition everywhere is intense, leading to a growing need for innovation. The real estate industry is no exception. Let’s learn how Augmented Reality real estate marketing can pave the way for the achievement of revolutionary results.

Understanding Augmented Reality in Real Estate Marketing

Generally speaking, Augmented Reality allows users to overlay virtual objects into real ones. For comparison, VR (Virtual Reality) is based on absolute simulation, i.e. it is a fictional reality. Augmented Reality, on the other hand, rather “embellishes” reality.

The real estate industry can greatly benefit from using augmented reality (AR) in its marketing campaigns. This sector encounte­rs multiple challenges when it comes to attracting and converting potential buye­rs, including:

  • Difficulties to effectively communicate the actual value and features of a property using traditional media like photos or vide­os.
  • Lack of differentiation and competitive­ edge among similar properties or agents.
  • Inability for remote potential buyers to arrive on site to view the property.
  • Too much time and money is spent to prepare and organize a view of the offered properties.

AR (Augmente­d Reality) technology can help to overcome these obstacles. It can be seamlessly integrated into real estate marketing campaigns through virtual tours, virtual staging, and virtual neighborhood guides. Presenting properties that are just built, unfinished, or even still in the design stage becomes more accessible than ever.

Benefits of AR Marketing in Real Estate

The benefits of AR for real estate marketing are indisputable. Here are the most important of them:

Enhanced property understanding

AR allows buyers to get an in-depth look at a property from different angles and perspectives. They can also explore the property features in detail, such as the space and furniture dimensions, materials, finishes, appliances, etc. Local people could also use AR apps to learn more about certain properties for sale or rent; simply holding a cell phone close to a property could enact a virtual visit.

Increased buyer engagement

AR provides customers with an enticing and interactive experience, which has the potential to catch and retain their attention. Customizing can be done in seconds, like changing lighting fixtures and experimenting with furniture style, color schemes, and other interior or exterior elements. Prospects can envision their dream home, wherever in the world they are at that exact moment.

Shortened sales cycle

AR can speed up the decision-making process for customers while proportionally reducing the need for multiple visits or consultations. The buyers can likewise think about various properties or choices all the more effectively, by utilizing AR apps or devices. And real estate companies can publish AR visualizations on their websites and social media pages to reach a wider audience. This saves time and money for both sellers and buyers.

Differentiation and competitive edge

Implementing Augmented Reality real estate marketing strategies helps realtors get ahead of their competitors. Utilizing this emerging technology provides them with a unique selling proposition while demonstrating expertise and professionalism. Naturally, their brand image and reputation will improve, resulting in more referrals and leads.

AR Applications in Real Estate Campaigns

There are many ways to leverage AR for real estate marketing campaigns; some examples include:

Showcase immersive property tours using AR technology

Real estate marketers can create virtual tours of properties with 360-degree AR walkthroughs. Buyers can access them anytime and anywhere, using their own devices. They can also interact with the tours with actions like zooming in, rotating, or tapping on certain elements. This creates a more realistic and engaging experience than static images or videos will ever do.

Virtual staging

AR can be used to stage an empty property, without the need of arranging any physical decor. Pretty much anything can be added and adjusted, such as an indoor space with plants, digital furniture with the preferred size and shape, home decorations or additional amenities such as SPA area with sauna. That way clients can picture how the rooms would look when furnished. The visual idea of what a property can become makes it more attractive.

Interactive property visualization

AR enables buyers to envision their dream home in a simple and impressive way. By utilizing cell phones or AR glasses, clients can explore the property inside and outside while seeing extra data, for example, information on the plumbing system, electrical wiring, or even future renovations.

Personalized property experiences

Realtors can tailor their AR content to fit each segment of their target audience. For example, AR can help emphasize certain advantages of the property, such as being suitable for big families or pet owners. Clients can be shown different scenarios or options, such as different seasons, times of day, weather conditions, etc.

AR-enabled location-based information

AR makes it easy to understand what kind of amenities are there in a neighborhood, such as schools, shops, public transportation, restaurants, parks, etc. AR can also show how far they are from the property or how long it takes to reach them. This valuable feature helps people make informed decisions about whether the neighborhood fits their lifestyle and personal needs.

Data-Driven Decision Making: AR Analytics for Marketers

One of the most important aspects of any marketing campaign, including the performance of AR content, is the tracking and analysis of results. In this way, real estate marketers can assess the chosen strategy and find ways to improve it. Here is what to keep an eye on:

  • Reach and impressions: It’s used for assessing audience size and awareness. Example metrics are the number of QR code scans of app launches.
  • Engagement and retention: It gives a better understanding of customers’ interests, preferences, and overall satisfaction. The essential metrics here are dwell time, session duration, frequency, and completion.
  • Conversion and revenue: It shows how users move along the sales funnel. Conversion and revenue metrics, such as click-through rate, purchase rate, average order value, and customer lifetime value, help evaluate the ROI of AR marketing strategies.

Empowering Remote Purchases: AR for Off-Site Property Evaluations

AR is suitable for real estate buyers who can’t visit the properties in person, such as those who live far away, have disabilities, health issues, etc. Off-site property evaluations are particularly useful for investors with busy schedules as well.

In addition, AR can minimize some risks that usually accompany remote transactions, such as misinterpretation and disappointment. This increases trust between the parties involved and thus facilitates communication.

Challenges and Considerations

Augmented reality (AR) might be a game-changer in real estate marketing, but it poses several challenges, including:

  • Technical requirements: AR applications require the use of compatible devices, software, and internet connection, which may not be accessible to all customers or brokers. This can be partially overcome by trusting agencies to create custom AR apps that meet specific business needs.
  • Latency issues: They are common in AR technology implementation, due to the transmission and processing of large amounts of data between user devices and servers. To address such issues, AR applications must be designed with efficiency in mind and regularly tested under diverse scenarios.
  • High costs: Developing and maintaining AR applications can be expensive and time-consuming, especially for complex 3D models or animations. The solution is to rely on proven AR applications, such as Vera or RealAR.

Future Trends and Outlook

How a trending technology will develop can not always be predicted precisely. One thing is certain—as long as there is demand, there will be development. Three of the expected upgrades of AR implications for real estate marketing are as follows:

  • Creating more realistic experiences. It can be done through the use of advanced graphics, sounds, haptics, and even smells.
  • AR-based virtual assistants. He or she will be able to answer customers’ inquiries, negotiate, and share opinions with clients. That will bring the virtual tour even closer to a real one.
  • AI will get more into AR. Artificial intelligence is currently used for face and spatial recognition in AR apps, but it is assumed that their “collaboration” will deepen.

Conclusion

Every real estate professional, who wants to provide top-quality service, should embrace tech innovations. Like any new technology, AR piques people’s curiosity to use it. When a real estate company offers this opportunity, more and more potential customers will take advantage. And what’s even better, they’d share that unique experience with other people. Word of mouth and user-generated content can do wonders for the business.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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