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21 Top Vue.js UI Libraries For Your App



21 Top Vue.js UI Libraries For Your App

Vue.js, popularly known as Vue, is an open-source model that is quite popular in JavaScript. Vue is a progressive lightweight framework that allows developers to develop solutions fast. It is easier to learn as it takes less time and has a much lower learning curve. However, it is not so easy to search for Vue developers and get future product maintenance.

As a progressive javascript framework, Vue.js, builds UI (User Interface) and SPAs (Single Page Applications). Since it has a fast-moving curve, this framework is quite popular among developers. The flexibility, ease of use, and simplicity also help its case. Therefore, developers with the knowledge of HTML, CSS, and JavaScript can start building a web app independently. This framework includes the best features of already existing frameworks such as Angular and React.

In this post, we’ve covered the most popular and versatile Vue.js UI libraries that are widely supported and can help developers build various web apps.

Let’s walk you through the best Vue UI component library for your upcoming project.

What is a Component UI Library?

A component library is a single file or folder consisting of all styles and components used in an application, software, or website. It generally includes buttons, input fields, UI kit, etc. For the web, it is responsive, flexible, and scalable.


Both designers and developers work with the same library but on different platforms, i.e., Sketch-app for designers and React for developers. So there is a need to ensure that all parties involved follow the same process and structure while creating or using Components. The atomic design provides a simple way to scale, hence many Component Libraries are based on it.

  • A component library is essentially important when it comes to scaling. It embraces a number of benefits such as accessibility, reduced code duplication, speed, consistency, and compatibility. For example, Netflix and Uber have quick and impressive growth using design systems built using component libraries. Hence, by offering accessible, customizable, and reusable components, such as buttons, component libraries enable UI/UX designers to leverage faster development and growth.
  • The UI library helps in compromising multiple blocks. This way, developers can seamlessly develop user interfaces. It usually includes platform-specific or cross-platform elements such as scrolling lists, buttons, tab bars, headers, etc.

Currently, libraries are essential since they upgrade the entire look and feel of an application. Basically, a component library has two parts:

UI: It takes care of the user interface.

UX: It’s all about taking care of user experience.

1649796839 475 21 Top Vuejs UI Libraries For Your App

What’s a Vue Component?

The component in Vue refers to a single entity within the application. Each component is a graphical part of the application along with its own unique view and behavior. In actuality, the components enable logical separation of every aspect of a Vue app. It also helps with code reusability and in sharing across projects and teams. This makes the whole project of development more efficient.

Moving ahead. Below, we’ll cover the top 21 Vue.js UI libraries for application.


Let’s get started with #1.

Top 21 Vue.js UI Libraries For Application

1. Vuetify

A Vue framework, Vuetify framework that allows users to create clean, semantic, reusable UI components. It generally works with Vue’s Server-Side rendering (SSR). What makes Vuetify an interesting choice among the best Vue UI component libraries is the availability of ready-made scaffolding for code in the form of a pre-made vue-cli template. According to Google’s material design guidelines, “the 33.6K stars popular library offers over 80 Vue.js components implemented.”

It supports all modern browsers across platforms, including IE11 and Safari 9+ and comes with 8 vue-cli templates.

2. Quasar framework

A frontend framework, Quasar is based on Vue. It is an open platform framework that allows developers to easily build apps for both desktop and mobile using technologies such as Cordova and Electron. It is also said that Quasar is one of the most extensive of all the Vue UI component libraries. It has in-depth documentation and robust, end-to-end implementation. It’s a full-fledged framework, which supports features like minification and caching. According to GitHub, it has over 20.6k stars on GitHub.

3. Element

A UI component library for the web, Element is specifically focused on desktop apps as its components are not responsive. It also has versions for both Angular and React. It also has significant documentation in Chinese, Spanish, and English translations. The non-native Chinese speakers must go through with the internationalization documentation before using Element in their projects.

Moreover, Element is a Vue 2.0 based component library for developers, designers, and project managers. It is built upon the principles of consistency, tangible feedback, efficiency, and controllability.


4. Vue Material

Vue Material is a scalable library, which is designed as per Google’s latest design specifications. It is simple and lightweight, containing useful components to ease the process of making complex app shells. With over 1.6M downloads, this UI library is compatible with modern web browsers, and its API is beginner-friendly, making it perfect for 2022 list.

It’s also said that this Vue.js library is the best integration between Vue.js and Material Design specifications. Developers can easily configure it to suit their needs through an easy API.

5. Keen-UI

Keen-UI is a Vue.js UI library, which is a simple API. It is inspired by Google’s Material Design. This is not a CSS framework, and it does not include styles for a grid system, typography, etc. Rather, it focuses on interactive components that require JavaScript. Developers should be able to use Keen UI with any page layout, structure, or CSS framework.

It consists of a few useful components that can be strategically placed wherever needed. Therefore, Keen UI is a great choice when adding iterative features to an existing application.

6. Buefy

Buefy is one of the UI libraries for Vue.js, which is a lightweight UI component based on Vue and Bulma (a CSS framework). The framework is less than 100 KB and bundled with Bulma. This UI library provides a ready-made list of components to use for a beginner app, developers may find it insufficient if working on a large project. This UI library comes with features such as:

  • It supports both Material Design Icons and FontAwesome.
  • It keeps the current Bulma theme/variable easily.
  • It is lightweight with no internal dependencies aside from Vue and Bulma.
  • It follows Bulma design and some of the Material Design UX.
  • It focuses on usability and performance without over-animating stuff.
  • Semantic code output

7. Bootstrap Vue

This is one of the top Vue.js UI libraries and brings the power of Bootstrap. It is also recognized as one of the widely used CSS libraries. Bootstrap-Vue provides developers with readily available UI components and a grid system, and everything is mobile-first and responsive. Additionally, the components of this UI library are compatible with the WAI-ARIA guidelines for web accessibility. This library enables developers to quickly start a project.

The community support and documentation is extensive making it a safe option for developers to start a project with.


8. Muse-UI

A material design UI library for Vue.js 2.0, Muse-UI is a great UI framework with Vue 2.0 and material design. It is based on Vuejs, Muse-UI is one of the fastest front-end frameworks, friendly API, and can develop a single complex page of the app. This UI library comes with the following features:

  • Abundant components
  • Abundant themes, and can be customized
  • It can be used with other plugins of Vue, such as vue-router, vue-validator
  • Friendly API

9. AT-UI

AT-UI is another Vue UI component library that is all about focusing on desktop apps. It provides flat UI components for web apps. AT-UI comes with 14 contributors and not much support available. Although, there is a starter template on GitHub that developers can use.

10. Vux

Vux is a Vue framework, which is based on WeChat’s WeUI and webpack. Its documentation mostly comes from Chinese with minimal English translation. It emphasizes a quick development of mobile components for apps. You can check out a live demo, which lists all components and their rendering in the browser.

11. iView UI

This is a library in Vue, which provides UI components and widgets. It mainly focuses on neat design. It also has its own command-line interface (CLI) tool and provides a visual tool for component scaffolding. It has an offline version of the documentation available. It has also gained popularity and currently has over 23.9k stars on GitHub.

It is actively maintained in terms of coming with regular updates and solving bugs, plus latest features and functionalities.

Here’s a starter kit, which helps developers get started with the basic usage of the library.

12. Uiv

The UI kit, Uiv provides Bootstrap 3 components implemented with Vue 2. It comes with minimal dependencies, lightweight components, server-side rendering support, and a variety of supported environments.


13. Vuikit

It is recognized as one of the best UI libraries for Vue.js. This library is a consistent and responsive Vue UI library, which is based on the UIkit framework with a beautifully minimalistic, clean design according to the YOOTheme design guidelines. Developers can use custom themes while keeping components consistent.

14. Mint-UI

A lightweight Vue UI component library, Mint UI is based on the Babel JavaScript compiler. It comes in a small size and makes it suitable for use in mobile apps. This UI library provides an iOS-like theme for the components of the app.

It has more than 16.5k stars on GitHub. However, the development of this framework is still going on along with new commits to the master branch in mid-January. There is a quick glance at the issue tracker on GitHub that can tell that Mint UI caters to Chinese developers most of all.

15. VuePress

This Vue.js UI library is a static generator which uses webpack to create pre-rendered static HTML pages. It helps to make the processing considerably faster. The use of VuePress opens up many possibilities for your project, such as automating the documentation process. It is easy to integrate into an existing app. Needless to say, a considerable drawback is that the SEO support is not yet mature and the documentation does not focus on this.

16. Eagle.js

This is a framework in Vue, which enables developers to create a slideshow within a web app. It comes with several themes, animations, widgets and styles to choose from and customize in Eagle.js.

This UI library provides an ample amount of examples on the demo sites; however, documentation is still minimal. The alternative to Eagle.js is Reveal.js, a standalone JavaScript framework for web slideshows. This framework overcomes the major flaw with Reveal.js, which is known as the slideshow structure rigidity.


17. Fish-UI

It’s a lightweight Vue UI component library toolkit with support for webpack and ES2015. Initially, this project had only five contributors. However, there has been some activity within the last month that suggests that this UI library is still active. You can check the documentation of the project here.

18. Cube UI

This is a fantastic mobile UI library implemented by Vue.js with high unit test coverage, expandable & flexible components, along with a consistent design. All you need to do is make sure that the styling, better-scroll, and create-api are the project exposes. As per GitHub, Cube UI framework has 8.9k stars, and it is actively maintained and updated.

19. Ant Design for Vue.js

More than 1.5k stars, ANT design for Vue.js is a popular UI library for mainly enterprise-level user applications. In addition, it comes with a webpack-based debug build solution supporting ES6.

20. N3 Components

A Vue.js component UI kit for the web, N3 components has over 40 components using ES6 and implementing a simple looking design and customizable styling. For upcoming projects, developers should have a look at this UI library.

21. Framework 7 Vue

This framework brings structured data, components-syntax, and data bindings. Also, it provides almost all Framework7 elements and components with the integration of Framework7 Router to render pages. It combines the power and simplicity of the tremendous Vue.js framework with the flexibility and UI of Framework7 mobile framework to build mobile apps even more easily and quickly.

Concluding Thoughts

The UI libraries, as mentioned earlier, can be an excellent solution for building the UI of upcoming projects based on Vue.js apps. For additional Vue.js components, you can check out a curated list of top Vue.js UI libraries. It’s also suggested to use Bit to simplify the workflow around these components and keep separate repos for different components. Bit component helps to turn components into building blocks that can be shared and synced directly between other apps.


You’ve just gone through the top listed Vue.js libraries that perform various functions. Which one is best? The simple answer is it all depends on your project’s requirements. If you want a plug-and-play solution for existing projects, go with Vuetify or Keen-UI. On the other hand, if you want a complete solution, go ahead with Quasar.

Which one is your favorite Vue UI component library? You can let us know in the comment section below.

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Should Your Brand Shout Its AI and Marketing Plan to the World?



Should Your Brand Shout Its AI and Marketing Plan to the World?

To use AI or not to use AI, that is the question.

Let’s hope things work out better for you than they did for Shakespeare’s mad Danish prince with daddy issues.

But let’s add a twist to that existential question.

CMI’s chief strategy officer, Robert Rose, shares what marketers should really contemplate. Watch the video or read on to discover what he says:


Should you not use AI and be proud of not using it? Dove Beauty did that last week.

Should you use it but keep it a secret? Sports Illustrated did that last year.

Should you use AI and be vocal about using it? Agency giant Brandtech Group picked up the all-in vibe.

Should you not use it but tell everybody you are? The new term “AI washing” is hitting everywhere.

What’s the best option? Let’s explore.

Dove tells all it won’t use AI

Last week, Dove, the beauty brand celebrating 20 years of its Campaign for Real Beauty, pledged it would NEVER use AI in visual communication to portray real people.


In the announcement, they said they will create “Real Beauty Prompt Guidelines” that people can use to create images representing all types of physical beauty through popular generative AI programs. The prompt they picked for the launch video? “The most beautiful woman in the world, according to Dove.”

I applaud them for the powerful ad. But I’m perplexed by Dove issuing a statement saying it won’t use AI for images of real beauty and then sharing a branded prompt for doing exactly that. Isn’t it like me saying, “Don’t think of a parrot eating pizza. Don’t think about a parrot eating pizza,” and you can’t help but think about a parrot eating pizza right now?

Brandtech Group says it’s all in on AI

Now, Brandtech Group, a conglomerate ad agency, is going the other way. It’s going all-in on AI and telling everybody.

This week, Ad Age featured a press release — oops, I mean an article (subscription required) — with the details of how Brandtech is leaning into the takeaway from OpenAI’s Sam Altman, who says 95% of marketing work today can be done by AI.

A Brandtech representative talked about how they pitch big brands with two people instead of 20. They boast about how proud they are that its lean 7,000 staffers compete with 100,000-person teams. (To be clear, showing up to a pitch with 20 people has never been a good thing, but I digress.)


OK, that’s a differentiated approach. They’re all in. Ad Age certainly seemed to like it enough to promote it. Oops, I mean report about it.

False claims of using AI and not using AI

Offshoots of the all-in and never-will approaches also exist.

The term “AI washing” is de rigueur to describe companies claiming to use AI for something that really isn’t AI.  The US Securities and Exchange Commission just fined two companies for using misleading statements about their use of AI in their business model. I know one startup technology organization faced so much pressure from their board and investors to “do something with AI” that they put a simple chatbot on their website — a glorified search engine — while they figured out what they wanted to do.

Lastly and perhaps most interestingly, companies have and will use AI for much of what they create but remain quiet about it or desire to keep it a secret. A recent notable example is the deepfake ad of a woman in a car professing the need for people to use a particular body wipe to get rid of body odor. It was purported to be real, but sharp-eyed viewers suspected the fake and called out the company, which then admitted it. Or was that the brand’s intent all along — the AI-use outrage would bring more attention?

To yell or not to yell about your brand’s AI decision

Should a brand yell from a mountaintop that they use AI to differentiate themselves a la Brandtech? Or should a brand yell they’re never going to use AI to differentiate themselves a la Dove? Or should a brand use it and not yell anything? (I think it’s clear that a brand should not use AI and lie and say it is. That’s the worst of all choices.)

I lean far into not-yelling-from-mountaintop camp.

When I see a CEO proudly exclaim that they laid off 90% of their support workforce because of AI, I’m not surprised a little later when the value of their service is reduced, and the business is failing.

I’m not surprised when I hear “AI made us do it” to rationalize the latest big tech company latest rounds of layoffs. Or when a big consulting firm announces it’s going all-in on using AI to replace its creative and strategic resources.

I see all those things as desperate attempts for short-term attention or a distraction from the real challenge. They may get responses like, “Of course, you had to lay all those people off; AI is so disruptive,” or “Amazing. You’re so out in front of the rest of the pack by leveraging AI to create efficiency, let me cover your story.” Perhaps they get this response, “Your company deserves a bump in stock price because you’re already using this fancy new technology.”


But what happens if the AI doesn’t deliver as promoted? What happens the next time you need to lay off people? What happens the next time you need to prove your technologically forward-leaning?

Yelling out that you’re all in on a disruptive innovation, especially one the public doesn’t yet trust a lot is (at best) a business sugar high. That short-term burst of attention may or may not foul your long-term brand value.

Interestingly, the same scenarios can manifest when your brand proclaims loudly it is all out of AI, as Dove did. The sugar high may not last and now Dove has itself into a messaging box. One slip could cause distrust among its customers. And what if AI gets good at demonstrating diversity in beauty?

I tried Dove’s instructions and prompted ChatGPT for a picture of “the most beautiful woman in the world according to the Dove Real Beauty ad.”

It gave me this. Then this. And this. And finally, this.

She’s absolutely beautiful, but she doesn’t capture the many facets of diversity Dove has demonstrated in its Real Beauty campaigns. To be clear, Dove doesn’t have any control over generating the image. Maybe the prompt worked well for Dove, but it didn’t for me. Neither Dove nor you can know how the AI tool will behave.


To use AI or not to use AI?

When brands grab a microphone to answer that question, they work from an existential fear about the disruption’s meaning. They do not exhibit the confidence in their actions to deal with it.

Let’s return to Hamlet’s soliloquy:

Thus conscience doth make cowards of us all;

And thus the native hue of resolution

Is sicklied o’er with the pale cast of thought,

And enterprises of great pith and moment


With this regard their currents turn awry

And lose the name of action.

In other words, Hamlet says everybody is afraid to take real action because they fear the unknown outcome. You could act to mitigate or solve some challenges, but you don’t because you don’t trust yourself.

If I’m a brand marketer for any business (and I am), I’m going to take action on AI for my business. But until I see how I’m going to generate value with AI, I’m going to be circumspect about yelling or proselytizing how my business’ future is better.

Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.


Cover image by Joseph Kalinowski/Content Marketing Institute


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How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds



How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds

Welcome to Creator Columns, where we bring expert HubSpot Creator voices to the Blogs that inspire and help you grow better.

It’s the age of AI, and our job as marketers is to keep up.

My team at Foundation Marketing recently conducted an AI Marketing study surveying hundreds of marketers, and more than 84% of all leaders, managers, SEO experts, and specialists confirmed that they used AI in the workplace.

AI in the workplace data graphic, Foundation Labs

If you can overlook the fear-inducing headlines, this technology is making social media marketers more efficient and effective than ever. Translation: AI is good news for social media marketers.

Download Now: The 2024 State of Social Media Trends [Free Report]

In fact, I predict that the marketers not using AI in their workplace will be using it before the end of this year, and that number will move closer and closer to 100%.


Social media and AI are two of the most revolutionizing technologies of the last few decades. Social media has changed the way we live, and AI is changing the way we work.

So, I’m going to condense and share the data, research, tools, and strategies that the Foundation Marketing Team and I have been working on over the last year to help you better wield the collective power of AI and social media.

Let’s jump into it.

What’s the role of AI in social marketing strategy?

In a recent episode of my podcast, Create Like The Greats, we dove into some fascinating findings about the impact of AI on marketers and social media professionals. Take a listen here:

Let’s dive a bit deeper into the benefits of this technology:

Benefits of AI in Social Media Strategy

AI is to social media what a conductor is to an orchestra — it brings everything together with precision and purpose. The applications of AI in a social media strategy are vast, but the virtuosos are few who can wield its potential to its fullest.


AI to Conduct Customer Research

Imagine you’re a modern-day Indiana Jones, not dodging boulders or battling snakes, but rather navigating the vast, wild terrain of consumer preferences, trends, and feedback.

This is where AI thrives.

Using social media data, from posts on X to comments and shares, AI can take this information and turn it into insights surrounding your business and industry. Let’s say for example you’re a business that has 2,000 customer reviews on Google, Yelp, or a software review site like Capterra.

Leveraging AI you can now have all 2,000 of these customer reviews analyzed and summarized into an insightful report in a matter of minutes. You simply need to download all of them into a doc and then upload them to your favorite Generative Pre-trained Transformer (GPT) to get the insights and data you need.

But that’s not all.

You can become a Prompt Engineer and write ChatGPT asking it to help you better understand your audience. For example, if you’re trying to come up with a persona for people who enjoy marathons but also love kombucha you could write a prompt like this to ChatGPT:


ChatGPT prompt example

The response that ChatGPT provided back is quite good:

GPT response example

Below this it went even deeper by including a lot of valuable customer research data:

  • Demographics
  • Psychographics
  • Consumer behaviors
  • Needs and preferences

And best of all…

It also included marketing recommendations.

The power of AI is unbelievable.

Social Media Content Using AI

AI’s helping hand can be unburdening for the creative spirit.

Instead of marketers having to come up with new copy every single month for posts, AI Social Caption generators are making it easier than ever to craft catchy status updates in the matter of seconds.


Tools like HubSpot make it as easy as clicking a button and telling the AI tool what you’re looking to create a post about:

AI social media caption generator step 1

The best part of these AI tools is that they’re not limited to one channel.

Your AI social media content assistant can help you with LinkedIn content, X content, Facebook content, and even the captions that support your post on Instagram.

It can also help you navigate hashtags:

AI social media hashtags generator example, HubSpot

With AI social media tools that generate content ideas or even write posts, it’s not about robots replacing humans. It’s about making sure that the human creators on your team are focused on what really matters — adding that irreplaceable human touch.

Enhanced Personalization

You know that feeling when a brand gets you, like, really gets you?


AI makes that possible through targeted content that’s tailored with a level of personalization you’d think was fortune-telling if the data didn’t paint a starker, more rational picture.

What do I mean?

Brands can engage more quickly with AI than ever before. In the early 2000s, a lot of brands spent millions of dollars to create social media listening rooms where they would hire social media managers to find and engage with any conversation happening online.

Thanks to AI, brands now have the ability to do this at scale with much fewer people all while still delivering quality engagement with the recipient.

Analytics and Insights

Tapping into AI to dissect the data gives you a CSI-like precision to figure out what works, what doesn’t, and what makes your audience tick. It’s the difference between guessing and knowing.

The best part about AI is that it can give you almost any expert at your fingertips.


If you run a report surrounding the results of your social media content strategy directly from a site like LinkedIn, AI can review the top posts you’ve shared and give you clear feedback on what type of content is performing, why you should create more of it, and what days of the week your content is performing best.

This type of insight that would typically take hours to understand.

Now …

Thanks to the power of AI you can upload a spreadsheet filled with rows and columns of data just to be met with a handful of valuable insights a few minutes later.

Improved Customer Service

Want 24/7 support for your customers?

It’s now possible without human touch.


Chatbots powered by AI are taking the lead on direct messaging experiences for brands on Facebook and other Meta properties to offer round-the-clock assistance.

The fact that AI can be trained on past customer queries and data to inform future queries and problems is a powerful development for social media managers.

Advertising on Social Media with AI

The majority of ad networks have used some variation of AI to manage their bidding system for years. Now, thanks to AI and its ability to be incorporated in more tools, brands are now able to use AI to create better and more interesting ad campaigns than ever before.

Brands can use AI to create images using tools like Midjourney and DALL-E in seconds.

Brands can use AI to create better copy for their social media ads.

Brands can use AI tools to support their bidding strategies.


The power of AI and social media is continuing to evolve daily and it’s not exclusively found in the organic side of the coin. Paid media on social media is being shaken up due to AI just the same.

How to Implement AI into Your Social Media Strategy

Ready to hit “Go” on your AI-powered social media revolution?

Don’t just start the engine and hope for the best. Remember the importance of building a strategy first. In this video, you can learn some of the most important factors ranging from (but not limited to) SMART goals and leveraging influencers in your day-to-day work:

The following seven steps are crucial to building a social media strategy:

  1. Identify Your AI and Social Media Goals
  2. Validate Your AI-Related Assumptions
  3. Conduct Persona and Audience Research
  4. Select the Right Social Channels
  5. Identify Key Metrics and KPIs
  6. Choose the Right AI Tools
  7. Evaluate and Refine Your Social Media and AI Strategy

Keep reading, roll up your sleeves, and follow this roadmap:

1. Identify Your AI and Social Media Goals

If you’re just dipping your toes into the AI sea, start by defining clear objectives.

Is it to boost engagement? Streamline your content creation? Or simply understand your audience better? It’s important that you spend time understanding what you want to achieve.


For example, say you’re a content marketing agency like Foundation and you’re trying to increase your presence on LinkedIn. The specificity of this goal will help you understand the initiatives you want to achieve and determine which AI tools could help you make that happen.

Are there AI tools that will help you create content more efficiently? Are there AI tools that will help you optimize LinkedIn Ads? Are there AI tools that can help with content repurposing? All of these things are possible and having a goal clearly identified will help maximize the impact. Learn more in this Foundation Marketing piece on incorporating AI into your content workflow.

Once you have identified your goals, it’s time to get your team on board and assess what tools are available in the market.

Recommended Resources:

2. Validate Your AI-Related Assumptions

Assumptions are dangerous — especially when it comes to implementing new tech.

Don’t assume AI is going to fix all your problems.


Instead, start with small experiments and track their progress carefully.

3. Conduct Persona and Audience Research

Social media isn’t something that you can just jump into.

You need to understand your audience and ideal customers. AI can help with this, but you’ll need to be familiar with best practices. If you need a primer, this will help:

Once you understand the basics, consider ways in which AI can augment your approach.

4. Select the Right Social Channels

Not every social media channel is the same.

It’s important that you understand what channel is right for you and embrace it.


The way you use AI for X is going to be different from the way you use AI for LinkedIn. On X, you might use AI to help you develop a long-form thread that is filled with facts and figures. On LinkedIn however, you might use AI to repurpose a blog post and turn it into a carousel PDF. The content that works on X and that AI can facilitate creating is different from the content that you can create and use on LinkedIn.

The audiences are different.

The content formats are different.

So operate and create a plan accordingly.

Recommended Tools and Resources:

5. Identify Key Metrics and KPIs

What metrics are you trying to influence the most?


Spend time understanding the social media metrics that matter to your business and make sure that they’re prioritized as you think about the ways in which you use AI.

These are a few that matter most:

  • Reach: Post reach signifies the count of unique users who viewed your post. How much of your content truly makes its way to users’ feeds?
  • Clicks: This refers to the number of clicks on your content or account. Monitoring clicks per campaign is crucial for grasping what sparks curiosity or motivates people to make a purchase.
  • Engagement: The total social interactions divided by the number of impressions. This metric reveals how effectively your audience perceives you and their readiness to engage.

Of course, it’s going to depend greatly on your business.

But with this information, you can ensure that your AI social media strategy is rooted in goals.

6. Choose the Right AI Tools

The AI landscape is filled with trash and treasure.

Pick AI tools that are most likely to align with your needs and your level of tech-savviness.

For example, if you’re a blogger creating content about pizza recipes, you can use HubSpot’s AI social caption generator to write the message on your behalf:


AI social media generator example

The benefit of an AI tool like HubSpot and the caption generator is that what at one point took 30-40 minutes to come up with — you can now have it at your fingertips in seconds. The HubSpot AI caption generator is trained on tons of data around social media content and makes it easy for you to get inspiration or final drafts on what can be used to create great content.

Consider your budget, the learning curve, and what kind of support the tool offers.

7. Evaluate and Refine Your Social Media and AI Strategy

AI isn’t a magic wand; it’s a set of complex tools and technology.

You need to be willing to pivot as things come to fruition.

If you notice that a certain activity is falling flat, consider how AI can support that process.

Did you notice that your engagement isn’t where you want it to be? Consider using an AI tool to assist with crafting more engaging social media posts.


Make AI Work for You — Now and in the Future

AI has the power to revolutionize your social media strategy in ways you may have never thought possible. With its ability to conduct customer research, create personalized content, and so much more, thinking about the future of social media is fascinating.

We’re going through one of the most interesting times in history.

Stay equipped to ride the way of AI and ensure that you’re embracing the best practices outlined in this piece to get the most out of the technology.

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Advertising in local markets: A playbook for success



Advertising in local markets: A playbook for success

Many brands, such as those in the home services industry or a local grocery chain, market to specific locations, cities or regions. There are also national brands that want to expand in specific local markets. 

Regardless of the company or purpose, advertising on a local scale has different tactics than on a national scale. Brands need to connect their messaging directly with the specific communities they serve and media to their target demo. Here’s a playbook to help your company succeed when marketing on a local scale.  

1. Understand local vs. national campaigns

Local advertising differs from national campaigns in several ways: 

  • Audience specificity: By zooming in on precise geographic areas, brands can tailor messaging to align with local communities’ customs, preferences and nuances. This precision targeting ensures that your message resonates with the right target audience.
  • Budget friendliness: Local advertising is often more accessible for small businesses. Local campaign costs are lower, enabling brands to invest strategically within targeted locales. This budget-friendly nature does not diminish the need for strategic planning; instead, it emphasizes allocating resources wisely to maximize returns. As a result, testing budgets can be allocated across multiple markets to maximize learnings for further market expansion.
  • Channel selection: Selecting the correct channels is vital for effective local advertising. Local newspapers, radio stations, digital platforms and community events each offer advantages. The key lies in understanding where your target audience spends time and focusing efforts to ensure optimal engagement.
  • Flexibility and agility: Local campaigns can be adjusted more swiftly in response to market feedback or changes, allowing brands to stay relevant and responsive. 

Maintaining brand consistency across local touchpoints reinforces brand identity and builds a strong, recognizable brand across markets. 

2. Leverage customized audience segmentation 

Customized audience segmentation is the process of dividing a market into distinct groups based on specific demographic criteria. This marketing segmentation supports the development of targeted messaging and media plans for local markets. 


For example, a coffee chain might cater to two distinct segments: young professionals and retirees. After identifying these segments, the chain can craft messages, offers and media strategies relating to each group’s preferences and lifestyle.

To reach young professionals in downtown areas, the chain might focus on convenience, quality coffee and a vibrant atmosphere that is conducive to work and socializing. Targeted advertising on Facebook, Instagram or Connected TV, along with digital signage near office complexes, could capture the attention of this demographic, emphasizing quick service and premium blends.

Conversely, for retirees in residential areas, the chain could highlight a cozy ambiance, friendly service and promotions such as senior discounts. Advertisements in local print publications, community newsletters, radio stations and events like senior coffee mornings would foster a sense of community and belonging.

Dig deeper: Niche advertising: 7 actionable tactics for targeted marketing

3. Adapt to local market dynamics

Various factors influence local market dynamics. Brands that navigate changes effectively maintain a strong audience connection and stay ahead in the market. Here’s how consumer sentiment and behavior may evolve within a local market and the corresponding adjustments brands can make. 

  • Cultural shifts, such as changes in demographics or societal norms, can alter consumer preferences within a local community. For example, a neighborhood experiencing gentrification may see demand rise for specific products or services.
    • Respond by updating your messaging to reflect the evolving cultural landscape, ensuring it resonates with the new demographic profile.
  • Economic conditions are crucial. For example, during downturns, consumers often prioritize value and practicality.
    • Highlight affordable options or emphasize the practical benefits of your offerings to ensure messaging aligns with consumers’ financial priorities. The impact is unique to each market and the marketing message must also be dynamic.
  • Seasonal trends impact consumer behavior.
    • Align your promotions and creative content with changing seasons or local events to make your offerings timely and relevant.
  • New competitors. The competitive landscape demands vigilance because new entrants or innovative competitor campaigns can shift consumer preferences.
    • Differentiate by focusing on your unique selling propositions, such as quality, customer service or community involvement, to retain consumer interest and loyalty.

4. Apply data and predictive analytics 

Data and predictive analytics are indispensable tools for successfully reaching local target markets. These technologies provide consumer behavior insights, enabling you to anticipate market trends and adjust strategies proactively. 

  • Price optimization: By analyzing consumer demand, competitor pricing and market conditions, data analytics enables you to set prices that attract customers while ensuring profitability.
  • Competitor analysis: Through analysis, brands can understand their positioning within the local market landscape and identify opportunities and threats. Predictive analytics offer foresight into competitors’ potential moves, allowing you to strategize effectively to maintain a competitive edge.
  • Consumer behavior: Forecasting consumer behavior allows your brand to tailor offerings and marketing messages to meet evolving consumer needs and enhance engagement.
  • Marketing effectiveness: Analytics track the success of advertising campaigns, providing insights into which strategies drive conversions and sales. This feedback loop enables continuous optimization of marketing efforts for maximum impact.
  • Inventory management: In supply chain management, data analytics predict demand fluctuations, ensuring inventory levels align with market needs. This efficiency prevents stockouts or excess inventory, optimizing operational costs and meeting consumer expectations.

Dig deeper: Why you should add predictive modeling to your marketing mix

5. Counter external market influences

Consider a clothing retailer preparing for a spring collection launch. By analyzing historical weather data and using predictive analytics, the brand forecasts an unseasonably cool start to spring. Anticipating this, the retailer adjusts its campaign to highlight transitional pieces suitable for cooler weather, ensuring relevance despite an unexpected chill.


Simultaneously, predictive models signal an upcoming spike in local media advertising rates due to increased market demand. Retailers respond by reallocating a portion of advertising budgets to digital channels, which offer more flexibility and lower costs than traditional media. This shift enables brands to maintain visibility and engagement without exceeding budget, mitigating the impact of external forces on advertising.

6. Build consumer confidence with messaging

Localized messaging and tailored customer service enhance consumer confidence by demonstrating your brand’s understanding of the community. For instance, a grocery store that curates cooking classes featuring local cuisine or sponsors community events shows commitment to local culture and consumer interests. 

Similarly, a bookstore highlighting local authors or topics relevant to the community resonates with local customers. Additionally, providing service that addresses local needs — such as bilingual service and local event support — reinforces the brand’s values and response to the community. 

Through these localized approaches, brands can build trust and loyalty, bridging the gap between corporate presence and local relevance.

7. Dominate with local advertising 

To dominate local markets, brands must:

  • Harness hyper-targeted segmentation and geo-targeted advertising to reach and engage precise audiences.
  • Create localized content that reflects community values, engage in community events, optimize campaigns for mobile and track results.
  • Fine-tune strategies, outperform competitors and foster lasting relationships with customers.

These strategies will enable your message to resonate with local consumers, differentiate you in competitive markets and ensure you become a major player in your specific area. 

Dig deeper: The 5 critical elements for local marketing success


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.

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