MARKETING
List of Best Multi-Services Apps to Look Out for in 2022
There are many businesses in the market which are giving their best efforts to satisfy the wishes of their customers, that too in a modernized manner desired by them. However, due to the changing requirements of people every now and then, entrepreneurs need to stay updated with the latest trend ongoing among the people.
People tend to use applications to get the solution for every problem. It is because they are easily able to fulfill their requirements in a minimal time. According to sources, the usage of mobile apps skyrocketed among the people, and hence the revenue of the worldwide app market is expected to hit a figure of $613 billion by 2025.
Thus, the demand for mobile app development rose among the entrepreneurs, and thus, many solutions were launched gradually in the market due to the higher preferences of people. So, there were many app development trends available later on to the entrepreneurs which they could choose from to meet their venture requirements.
But these solutions didn’t last for much time period as the people’s devices were not storage efficient, so the rise of on-demand apps took place in the market which were launched for many business sectors, and again after some time, the upgrade in these solutions was brought, they are multi-services solutions which have currently occupied almost all the segments of the market.
What are these multi-services applications? Let’s understand them.
What are the Multi-Services Apps?
The on-demand apps integrate all kinds of services under one roof and allow people to access any of them whenever they are convenient. In short, it is a virtual all-in-one marketplace for users. The entrepreneurs can register their business on these platforms, doesn’t matter of their business category, and can start receiving orders online.
If we consider these apps’ analytics, then the popularity of these apps has been so high among the people such that their demand rose over in many regions across the globe, even in the areas where they are not available. According to statistics, there were approximately 67% of people in 2021 in the US were interested in combining all the services together into a single solution.
Now, which are these solutions? Let’s have a look over these platforms launched across the entire globe.
Best Multiple Services Apps From All Over:
There are several apps that are introduced in the markets across various regions. Each of them is operating the business and has earned a significant rise in their respective regions. Now, which are those let’s explore them individually stated below:
Rappi
The company is operating its multi-services business in Latin America. It was founded by Simón Borrero, Sebastian Mejía, Felipe Villamarín and Guillermo Plaza in 2015, and is based in Bogota, Colombia. Currently, the firm is running its multi-services business in 9 countries.
Careem
It is a middle-eastern company serving a single service of corporate car bookings in its initial phase and further became known as a ride-sharing firm. Moreover, Careem was founded by Mudassir Sheikha, Abdulla Elyas, and Magnus Olson in 2012. It is headquartered in Dubai. Currently, they are providing a wide range of services to people across 100+ cities in the Middle East, Africa, and South Asia.
Gojek
Gojek is a multi-services providing firm to the people. It was founded in 2009 by Kevin Aluvi, Nadiem Makarim, and Michaelangelo Moran, headquartered in Jakarta, Indonesia. Formerly, they provided two-wheeled ride-sharing services to the people and now serve 20 different services across 8 countries.
Grab
The firm was founded in 2012 by Anthony Tan and Tan Hooi Ling and is headquartered in Singapore. They are now providing multiple services to the people as they initiated serving a single taxi-sharing service by the name of ‘MyTeksi,’ and with further progress, they are offering numerous services to people with the name of ‘Grab’ across 8 countries and 400+ metropolitan areas.
Snapp
Snapp is an Iranian firm founded by Eyad Alkassar, Mahmoud Fouz, Moe Moeen, and Shahram Shahkar in 2014. In their initial time, they offered ride-sharing services to the people, and with further progress, they are currently catering different services to the people. In addition, it also acquired 85% of the market share in Iran.
Dunzo
It is an Indian super app providing people with various services through their application. However, Dunzo was founded by Kabeer Biswas, Ankur Agarwal, Dalvir Suri, and Mukund Jha in 2014 and is based in Bangalore, Karnataka. Currently, the company is operating in over 8 cities in India.
Now, all these solutions mentioned above achieved a significant rise in the market, but being a senior-most player, Gojek earned tremendous fame and expanded its operating area in almost all the South East Asian countries. The only reason behind such a success is its business model, which contains certain attractive features and functionality that they offer through their application to the application users.
Why Should Enterprises Enroll themselves on these Platforms?
The entrepreneurs who want to convert their business into a reputed brand should register with these multi-services solutions as they can rise higher in the market by utilizing the fame of the applications and can receive certain advantages of these platforms, which are listed below:
- Enlarges Businesses
- Improvises Manageability
- Enhances the Scalability
- Impactful Presence Online
- Increases the Profit Margins
Alongside the several benefits of these solutions, the entrepreneurs would also improve the customer retention rates of their ventures as they provide certain advanced features through these apps, and also, the people prefer these apps nowadays to satisfy their purposes.
Final Verdict:
The entrepreneurs can take advantage of the preference for the multi-services platforms by launching their super apps into the market or by registering their ventures into these applications and helping people to make their lives more straightforward than ever before. Therefore, enrolling businesses in these solutions is the best choice to get significant sales in the enterprises.
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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