MARKETING
Top 5 Tech Tools to Grow Your Business in 2022
Businesses across the world run on tools, technologies, processes, and people. Smart tools and technologies help make businesses smarter.
For the last 3 years, we all have been experiencing the world from a different perspective. The very fact that technology helped us stay connected over the past few years can’t be denied at all. It kept the workforce moving and motivated. In short, good technology has the power to solve problems and to bring considerable change. The pandemic has taught us to value life and to make a difference in each individual’s life, is what businesses in 2022 will definitely look forward to.
Accelerate your business in 2022 with these 5 top tools and technologies.
Digital Marketing Tools- The Smartest Way to Market in 2022
An online healthcare business in 2020 started same-day medicine delivery at competitive prices. Times were such that people were not stepping out. It was marketed with the most appropriate selection of words, like “No-Contact Delivery,” and was followed by customer-centric online marketing campaigns and advertisements. As it was a useful business meant to solve a real-world problem people were facing, it took no time to raise revenues.
It didn’t just run marketing campaigns!!!
It solved a real-world problem!
This will be the very essence of DIGITAL MARKETING this year–Solving real-life problems to make lives easier.
When used and implemented right, digital marketing “IS” the tool for a successful business in future years to come. Businesses in 2022 can attract a wider audience through the latest digital marketing strategies such as:
- User-friendly Interactive content
- Shoppable posts
- Social media stories
- Influencer marketing
- Better SEO tactics
- Affiliate marketing
- Popular Keywords, Organic and paid search; etc.
Data Science Tools: Help Generate Insights and Better Decision Making in 2022
Have you ever noticed how your Netflix dashboard displays personalized movie and TV show recommendations, exactly how you like? Or how such platforms predict the trending content and notify it to you beforehand so that you’re not left behind in this fast-paced, data-driven world. Or imagine, how the online purchased items in real-time can be tracked, with nearly appropriate logistics routes. All thanks to Data Science tools that carry the potential to decipher hidden patterns and insights which may help businesses across the world to grow.
Technology Trends for the year 2022 frankly shout out the significance of data science. Enterprises across the world, especially logistics, healthcare, financial institutions, e-commerce, social media houses, etc. will be deeply influenced by powerful data science tools and technologies.
In the healthcare sector, it will aid in drug discovery and identification of new diseases. Effective analysis of disease-related trends will eventually help the healthcare sector understand the “new world” better. Banking sector will largely benefit from effective Data Science tools in 2022 as online transactions surge. With intelligent data science tools, banks can help detect fraudulent transactions in real-time.
Project Management Tools
The panorama of project management is transforming rapidly. The year, 2022, will bring cutting-edge tools and technologies in the area of Project Management. If a business has to survive and grow exponentially in 2022, it has to have a rock-solid future plan. The essential team collaborative tools covered here are Agile methodologies, Process Automation, and enterprise project management software.
This year, the project management arena will observe a few emerging trends. Let’s take a quick look here.
- Agile methodologies
- Content Management Tools for project efficiency
- Effective Vendor Management
- Process Automation
- Cost-Reduction Strategies
- New strategies and policies to increase revenue.
- Updated corporate values
- Flexible remote-work policies
- Artificial Intelligence in Project Management
- Soft Skills
Artificial Intelligence (AI) & Machine Learning Tools- Future of Businesses and Organizations
AI and Machine learning are not new concepts. But, In 2022, the world will witness a different kind of potential that AI and Machine learning has to offer to the enterprises. This year, they will be in their best forms.
Let’s have a look.
- From a business perspective, AI will assist to provide an elaborated view of the market for humans to understand well.
- In the field of marketing, AI can help identify potential customers.
- AI can help predict what’s in and what’s not for businesses to grow.
- AI can help sort-through large data chunks and thus, will help in saving time and cost.
- In the domain of cybersecurity, AI will help enterprises grow in a smart manner by controlling cybercrime, providing extended threat protection, timely detection of possible business loopholes, etc.
- Another interesting thing that AI has in its bucket is automated driverless cars to make commutes hassle-free.
- AI aims to create an augmented workforce for effective business operations.
- Robotics will be more improved than ever. This year, the workforce will probably get to work with smart machines.
- It will help create a Metaverse-Unified persistent digital environment. Creative AI will also be a term that will be sought after in 2022.
In short, AI and machine learning will occupy a larger space in the enterprise cloud this year. These tools will significantly shape the way enterprises work in the near future.
Mobile Device Management tools- Manage Your Devices Over-the-Air for a Seamless IT Experience
Again, this year also, MDM solutions will continue helping IT admins across the organizations as their smart tech buddy! The year looks lucrative and promising as the businesses go mobile and as various MDM solutions capture the technical universe.
With a smart MDM solution, IT departments can secure, monitor, and manage mobile devices such as laptops, smartphones, tablets, rugged devices, digital signages, etc. irrespective of their type, operating system, and location of use. This helps in effective workforce management, employee productivity, security, and integrity.
Their demand will increase year-by-year due to the very business-centric need to manage, secure, and monitor corporate data so as to maintain customer’s trust in the company.
Let’s have a look at how MDMs will add value to any enterprise in 2022.
- Scheduling and implementing recurring IT tasks and bulk activities
- Track the employees’ productivity
- Help locating devices and lock them if lost or stolen
- Detect inappropriate SIM swaps and network changes
- Allow/Block malicious content
- Turn any Android, iOS, or Windows device into a kiosk as per business-specific requirements
- Manage content on digital signages
- Push Applications silently
- Configure and apply policies over the air
- Track unmanaged devices
- Generate automated reports for IT admins to stay updated…and many more features that will bring confidence across the organizations when it comes to going 100 percent mobile.
Backed by exceptional remote support, Scalefusion, an MDM solution offers a plethora of features for the IT admins to select, based on specific industry needs.
Conclusion
Future belongs to those who believe in the power of technology. And technology is ever-transforming. In 2022 ambitious businesses will keep an eye on the above-mentioned tools and technologies to stay ahead, grow exponentially, and thus, climb up the corporate ladder.
So Businesses! Go ahead and skyrocket your way to success in 2022.
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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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