MARKETING
How Cloud Computing Improves Customer Experience?
The Cloud computing industry is burgeoning with a global market that is expected to reach US$947.3 billion by 2026. This growth is being driven by several factors, including the growing demand for flexible, reliable, and on-demand IT infrastructure which cloud computing can provide.
But what exactly is cloud computing?
Despite the hype, many still do not really understand what this form of IT infrastructure entails. Or how it will impact their businesses.
If you are looking for ways to improve your customer’s experience and drive more business value out of your IT infrastructure, then cloud computing may be a perfect match for you.
What is Cloud Computing?
Cloud computing is a term used to describe the delivery of hosted IT services, such as email, Internet access, and software applications. The cloud makes it possible to tap into a virtualized, scalable and on-demand environment with a pay-as-you-go pricing structure.
Also known as “server-less computing” or “behind-the-firewall solutions,” cloud computing allows enterprises to run their business from any location without the need for servers. This enables quicker and more efficient deployment of new technology, increased mobility in implementing solutions, and more flexible scaling as business needs change.
A cloud can exist on public, private, or hybrid infrastructure and be deployed using a private or public cloud model that relies on the Internet for connectivity between customer sites and the service provider’s data center (s).
Global Reach of Cloud Computing for Enterprises
Businesses can now expand their reach by using cloud computing. There are many businesses that have limited resources or budgets that may only be able to serve local customers or areas of the world. Cloud computing allows companies to expand without increasing expenses because they rent the hardware space instead of buying it on their own.
In its annual Cisco® Global Cloud Index (2016-2021) report, 94% of enterprises will use cloud services in their data centers. The global reach of cloud computing for enterprises is immense and cannot be ignored at any cost. Businesses have realized that cloud services are not just hyped anymore, but a reality that can boost their productivity to greater levels than ever before.
Cloud computing reduces an organization’s carbon footprint by making sharing resources among multiple locations easier and reducing energy consumption by consolidating data storage. This also allows organizations to easily manage their infrastructure while not being responsible for physical systems they no longer need or use.
How does cloud computing improve customer experience?
Cloud computing uses virtualization technology, and it eliminates the need to purchase additional hardware or software licenses when an increase in demand or new users occur.
This not only improves your customer experience but also helps you meet increasing business demands without breaking your budget.
Customer Experience (CX) is an essential factor when it comes to business success. CX contributes a lot to how customers perceive your brand. That is why every business wants to deliver a great experience to their customers and clients. The best way to do that is by using tools that help you improve your customer service levels.
With cloud computing, businesses can easily give their customers access to data from any device at all times. With more than one option available, users can get the most convenient way for them to access their data – be it from a desktop computer or mobile device.
With cloud computing services, businesses are able to outsource IT operations and reduce costs associated with running servers in-house. This results in more time for employees to focus on delivering exceptional customer service rather than troubleshooting technology issues.
In addition, there’s no need for businesses to purchase costly new hardware or software updates as cloud services are designed to provide enterprise-level capabilities at affordable prices. Lastly, companies can enjoy the benefits of increased flexibility, scalability, and robust security features.
Cloud computing makes it possible for businesses of all sizes to be more productive and efficient in delivering exceptional experiences for their customers.
Multi-Cloud Strategy- An Agile Technology Delivering Transformational Customer Experience
Cloud computing is a revolutionary technology that can significantly improve customer experience. It enables you to build and run applications faster, easier, and more securely. You can be agile in developing your applications, and there is no need to spend money on hardware infrastructure anymore.
A multi-cloud strategy is a way forward for enterprises that want to take advantage of this new technology. Here are the main benefits of multi-cloud in genuine customer service:
- Lower costs- Multi-cloud allows you to leverage the best cloud provider and offers you the best pricing based on your usage. The competition between cloud providers will also bring down prices over time.
- Better performance- Different clouds offer different features, functionality, and levels of performance. Multi-cloud gives you access to all of these things so that you can choose the right combination for your business needs.
- Greater flexibility- With a multi-cloud environment, you have the ability to deploy applications anywhere at any time without having to worry about downtime or compatibility issues. This makes it easy to scale up or down as needed
- Improved security- Cloud providers are constantly updating their security measures and fighting off cyber-attacks against their systems. With multi-cloud, you can take advantage of these updates.
Cloud computing is transforming the ways in which businesses of all sizes are being run. More and more companies are making the shift to cloud-based services like Office 365 and cloud-based storage, as well as using mobile apps for business purposes.
Wrapping Up
Cloud computing has diverged into multiple service types. Each of these services provides different ways to expedite and improve customer experience. These options offer various opportunities that make it ideal for any organization or individual. Cloud computing is a proven solution that will drive competitive advantage by focusing on the needs of your customers.
Fortunately for us, cloud solutions are getting more accessible and easier to use, and new tools are being created all the time. In other words, cloud computing is here to stay — both for businesses and for their customers.
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MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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