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Top Mobile Application UI/UX Design Trends to follow in 2022

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Introduction

The customer has always been king, but recently this statement is becoming palpably visible in everything that businesses do. Delivering a great customer experience across all business-consumer interfaces has become imperative. Forbes corroborates this with its staggering statistics that say that companies stream ahead of their competition by 80% by delivering good consumer experiences.

This number holds special significance in the world of today, where over half (54.4%) of the website traffic is generated on mobile phones. Designing the user experience of your visitors, especially one that’s crafted for mobile phones, has the potential to give your website visitors a massive boost. And therefore, it’s high time to hire a UI UX designer, so your applications can be prepared for cashing in on this huge audience pool.

Let’s take a look at what is trending in mobile UI/UX designs.

Top Trends

There are numerous elements to creating a user experience that is fluid, intuitive, and impactful. The key in selecting the look and feel of your application, its tone, and user journey – depends on the voice and image of your brand. Here are the 10 most trending UI designs for mobile applications.

Personalization and ease

According to research conducted by WPengine, the latest generation – Gen Z – users prefer personalized experiences on websites and apps. Personalization is big today on all fronts, including UI and UX design. Serving personalized content to users in an app, including visual and functional elements that they can customize at will, is trending high on charts.

Asymmetry

Asymmetrical designs on apps are trending today for one big reason: there is boredom piling up in monotonous, redundant designs with symmetry everywhere. Giving your users a fresh new look by moving the app lines around a little bit creates an intriguing UI. The eyes focus on each element because of the asymmetry instead of just blankly skimming through the entire content.

Abstract Design

Abstract design in UX and UI is gaining more and more traction because of its ability to invoke thought in the human mind. Many app developers are creating apps with less sharp edges and rounded corners to give the app a more “friendly” and “inviting” feel. Illustrations are on the rise, and in combination with abstract patterns, this UI trend is finding immense favor with users.

Futuristic, Illustrated Themes

The use of themed displays is also trending today, with many apps offering the users options to apply “themes” to their apps (dark mode is one example). It makes the app look adaptive, futuristic, and helps improve the consumer experience. Paired with catchy illustrations, this UI trend is making a big splash in the industry.

Navigational Innovations

With the advent of larger mobile devices with more area on the screen, mobile app developers are moving towards creating dynamic elements that assist the user with one-handed operation. One such feature is the obsoletion of burger menus in favor of floating menus; another example is movable keyboards. These features drastically improve the  visitor experience.

Device-Agnosticism

Desktops aren’t the main device for accessing the internet anymore. There is a mix of devices with varying screen sizes and processing capabilities that have driven app developers toward creating UIs that are independent of the device. Whichever gadget you access a website on, the display of the website should be able to render itself according to device specification.

1650979607 118 Top Mobile Application UIUX Design Trends to follow in 2022

Chatbot Animation

Chatbots aren’t aliens to consumers any longer. In fact, people have begun to turn to chatbots for basic queries about products and services as it is available 24×7. This has led app developers to include chatbots in the apps and assign fluid conversational properties to their chat windows. Easy selection of queries, chat downloads, exit chat, the design of chat – everything is well-thought-out.

Brutalism

Getting inspired by the architectural style prevailing in the 1950s, brutalism has found its way into app UI design. Outfits like media houses and for-cause establishments use bold typography, high-contrast color themes, and monochrome photography/images to pack a visual bang into their apps. This works exceedingly well to capture consumer attention.

Micro-Interactions

One of the top trending design features of great apps today is the micro-interaction details. Paying attention to the minutest detail and adding subtle animations to it achieves great finishing of the UI of an app, and makes it friendlier for the consumer. It also helps communicate the brand image in a positive light.

Social Media Integrations

Social media is a digital community, and it is where all the buzz is. It is trending to incorporate social-media-friendly features to your app, like direct one-tap buttons to share content on various platforms, or to share directly in private messaging with friends on other apps.

Conclusion

Whether a user enjoys using your app or not depends heavily on how well you have designed it and whether or not the design corresponds to the contemporaries. Leverage the trends listed above to create mobile app UI and UX that amazes consumers and keeps them coming back.

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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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