MARKETING
9 Types of Organizational Structure Every Company Should Consider
Choosing the best organizational structure for your company, division, or team is a lot like picking out a new car.
At the most basic level, you’re always looking for something road-worthy — something that can take you (and your passengers) from point A to point B without a hitch.
But beyond that, there are a lot of options to consider. Automatic or manual? Four-wheel drive or two? Built-in GPS? Leather interior? Flux capacitor? (Only if you’re going back in time, of course.)
In the world of organizational structures, the options you have to choose from include things like chain of command (long or short?), span of control (wide or narrow?), and centralization (centralized or decentralized decision-making?), just to name a few.
Organizational Structure
An organizational structure is a visual diagram of a company that describes what employees do, whom they report to, and how decisions are made across the business. Organizational structures can use functions, markets, products, geographies, or processes as their guide, and cater to businesses of specific sizes and industries.
What’s the point of an organizational structure? As a business leader, do you even need one? As I said, org structures help you define at least three key elements of how your business is going to run.
As your company gets bigger, an organizational structure can also be helpful for new employees as they learn who manages what processes at your company.
Then, if you need to pivot or shift your leadership, you can visualize how the work flows would work by adjusting your organizational structure diagrams.
To put it simply, this chart is like a map that simply explains how your company works and how its roles are organized.
Here’s what each of those elements means to an organization:
Chain of Command
Your chain of command is how tasks are delegated and work is approved. An org structure allows you to define how many “rungs of the ladder” a particular department or business line should have. In other words, who tells whom to do what? And how are issues, requests, and proposals communicated up and down that ladder?
Span of Control
Your span of control can represent two things: who falls under a manager’s, well, management … and which tasks fall under a department’s responsibility.
Centralization
Centralization describes where decisions are ultimately made. Once you’ve established your chain of command, you’ll need to consider which people and departments have a say in each decision. A business can lean toward centralized, where final decisions are made by just one or two entities; or decentralized, where final decisions are made within the team or department in charge of carrying out that decision.
You might not need an org structure right away, but the more products you develop and people you hire, the harder it’ll be to lead your company without this crucial diagram.
(To dive deeper into what all of these different organizational structure components are, check out my earlier post, “The 6 Building Blocks of Organizational Structure.”)
In this post, we’ll explore how you can combine those components to form different types of organizational structures. We’ll also highlight the benefits and drawbacks of different structure types so you can evaluate which is the best option for your company, division, or team. Let’s dive in.
Mechanistic vs. Organic Organizational Structures
Organizational structures fall on a spectrum, with “mechanistic” at one end and
“organic” at the other.
Take a look at the diagram below. As you’ll probably be able to tell, the mechanistic structure represents the traditional, top-down approach to organizational structure, whereas the organic structure represents a more collaborative, flexible approach.
Here’s a breakdown of both ends of the structural spectrum, their advantages and disadvantages, and which types of businesses are suited for them.
Mechanistic Structure
Mechanistic structures, also called bureaucratic structures, are known for having narrow spans of control, as well as high centralization, specialization, and formalization. They’re also quite rigid in what specific departments are designed and permitted to do for the company.
This organizational structure is much more formal than organic structure, using specific standards and practices to govern every decision the business makes. And while this model does hold staff more accountable for their work, it can become a hindrance to the creativity and agility the organization needs to keep up with random changes in its market.
As daunting and inflexible as mechanistic structure sounds, the chain of command, whether long or short, is always clear under this model. As a company grows, it needs to make sure everyone (and every team) knows what’s expected of them. Teams collaborating with other teams as needed might help get a business off the ground in its early stages, but sustaining that growth — with more people and projects to keep track of — will eventually require some policymaking. In other words, keep mechanistic structure in your back pocket … you never know when you’ll need it.
Organic Structure
Organic structures (also known as “flat” structures) are known for their wide spans of control, decentralization, low specialization, and loose departmentalization. What’s that all mean? This model might have multiple teams answering to one person and taking on projects based on their importance and what the team is capable of — rather than what the team is designed to do.
As you can probably tell, this organizational structure is much less formal than mechanistic, and takes a bit of an ad-hoc approach to business needs. This can sometimes make the chain of command, whether long or short, difficult to decipher. And as a result, leaders might give certain projects the green light more quickly but cause confusion in a project’s division of labor.
Nonetheless, the flexibility that an organic structure allows for can be extremely helpful to a business that’s navigating a fast-moving industry, or simply trying to stabilize itself after a rough quarter. It also empowers employees to try new things and develop as professionals, making the organization’s workforce more powerful in the long run. Bottom line? Startups are often perfect for organic structure, since they’re simply trying to gain brand recognition and get their wheels off the ground.
Now, let’s uncover more specific types of organizational structures, most of which fall on the more traditional, mechanistic side of the spectrum.
Types of Organizational Structure
- Functional Organizational Structure
- Product-Based Divisional Structure
- Market-Based Divisional Structure
- Geographical Divisional Structure
- Process-Based Structure
- Matrix Structure
- Circular Structure
- Flat Structure
- Network Structure
Depending on the size of a business and its goals, the organizational structure of the team will vary. Each type has its advantages and disadvantages; however, there is a universal benefit to establishing a clear organizational structure. It helps employees understand their role within a company, which enables them to manage expectations and goals.
A business needs to have an organizational structure in place to be successful. There are several types of organizational structures commonly used by companies, nine of which we expand upon below.
1. Functional Organizational Structure
One of the most common types of organizational structures, the functional structure departmentalizes an organization based on common job functions.
An organization with a functional org structure, for instance, would group all of the marketers together in one department, group all of the salespeople together in a separate department, and group all of the customer service people together in a third department.
The functional structure allows for a high degree of specialization for employees, and is easily scalable should the organization grow. Also this structure is mechanistic in nature — which has the potential to inhibit an employee’s growth — putting staff in skill-based departments can still allow them to delve deep into their field and find out what they’re good at.
Disadvantages
Functional structure also has the potential to create barriers between different functions — and it can be inefficient if the organization has a variety of different products or target markets. The barriers created between departments can also limit peoples’ knowledge of and communication with other departments, especially those that depend on other departments to succeed.
Advantages
Functional organization increases efficiency, provides stability, and boosts accountability. It allows departments — with employees who share similar skills and knowledge — to focus on their specialized tasks within their respective fields. Because the roles and responsibilities of this organizational structure example rarely change, department employees can consistently work on similar assignments and hone their skills.
The fixed structure of functional organization also operates through management. It provides employees with a chain of command. It guides communication between the team and keeps the team accountable.
2. Product-Based Divisional Structure
A divisional organizational structure is comprised of multiple, smaller functional structures (i.e. each division within a divisional structure can have its own marketing team, its own sales team, and so on). In this case — a product-based divisional structure — each division within the organization is dedicated to a particular product line.
This type of structure is ideal for organizations with multiple products and can help shorten product development cycles. This allows small businesses to go to market with new offerings fast.
Disadvantages
It can be difficult to scale under a product-based divisional structure, and the organization could end up with duplicate resources as different divisions strive to develop new offerings.
Advantages
Companies and their employees can experience the benefits of the product-based divisional structure. If one division performs poorly, this does not automatically translate across the organization. Because of their separation, divisions may flourish (or fail) concurrently. This system allows companies to mitigate risk.
3. Market-Based Divisional Structure
Another variety of the divisional organizational structure is the market-based structure, wherein the divisions of an organization are based around markets, industries, or customer types.
The market-based structure is ideal for an organization that has products or services that are unique to specific market segments, and is particularly effective if that organization has advanced knowledge of those segments. This organizational structure also keeps the business constantly aware of demand changes among its different audience segments.
Disadvantages
Too much autonomy within each market-based team can lead to divisions developing systems that are incompatible with one another. Divisions might also end up inadvertently duplicating activities that other divisions are already handling.
Advantages
Because this organizational structure focuses on specific market segments, it provides each division with autonomy. The divisions work separately, which allows employees to work independently and enables them to focus on the needs of their particular industry.
4. Geographical Divisional Structure
The geographical organizational structure establishes its divisions based on — you guessed it — geography. More specifically, the divisions of a geographical structure can include territories, regions, or districts.
This type of structure is best-suited to organizations that need to be near sources of supply and/or customers (e.g. for deliveries or for on-site support). It also brings together many forms of business expertise, allowing each geographical division to make decisions from more diverse points of view.
Disadvantages
The main downside of a geographical org structure: It can be easy for decision- making to become decentralized, as geographic divisions (which can be hundreds, if not thousands of miles away from corporate headquarters) often have a great deal of autonomy. And when you have more than one marketing department — one for each region — you run the risk of creating campaigns that compete with (and weaken) other divisions across your digital channels.
Advantages
Geographical divisions allow companies the advantage of catering to a specific customer. Based on the differences in language, culture, and customs one would find across the world, companies cannot necessarily expect the same operations to work in different locations. Not only does it allow organizations to tailor their approach based on geography, but it allows the division to react quickly and efficiently to any geographical market changes.
5. Process-Based Structure
Process-based organizational structures are designed around the end-to-end flow of different processes, such as “Research & Development,” “Customer Acquisition,” and “Order Fulfillment.” Unlike a strictly functional structure, a process-based structure considers not only the activities employees perform, but also how those different activities interact with one another.
In order to fully understand the diagram below, you need to look at it from left to right: The customer acquisition process can’t start until you have a fully developed product to sell. By the same token, the order fulfillment process can’t start until customers have been acquired and there are product orders to fill.
Process-based organizational structure is ideal for improving the speed and efficiency of a business, and is best-suited for those in rapidly changing industries, as it is easily adaptable.
Disadvantages
Similar to a few other structures on this list, process-based structure can erect barriers between the different process groups. This leads to problems communicating and handing off work to other teams and employees.
Advantages
As mentioned, one of the most significant benefits of the process-based structure is that it increases efficiency and speed. If Department B cannot start its processes until Department A finishes, this compels Department A to work promptly and proficiently. This organizational model also promotes intradepartmental (within the department) and interdepartmental (across multiple departments) teamwork.
6. Matrix Structure
Unlike the other structures we’ve looked at so far, a matrix organizational structure doesn’t follow the traditional, hierarchical model. Instead, all employees (represented by the green boxes) have dual reporting relationships. Typically, there is a functional reporting line (shown in blue) as well as a product- based reporting line (shown in yellow).
When looking at a matrix structure org chart, solid lines represent strong, direct-reporting relationships, whereas dotted lines indicate that the relationship is secondary, or not as strong. In our example below, it’s clear that functional reporting takes precedence over product-based reporting.
The main appeal of the matrix structure is that it can provide both flexibility and more balanced decision-making (as there are two chains of command instead of just one). Having a single project overseen by more than one business line also creates opportunities for these business lines to share resources and communicate more openly with each other — things they might not otherwise be able to do regularly.
Disadvantages
The primary pitfall of the matrix organizational structure? Complexity. The more layers of approval employees have to go through, the more confused they can be about who they’re supposed to answer to. This confusion can ultimately cause frustration over who has authority over which decisions and products — and who’s responsible for those decisions when things go wrong.
Advantages
An advantage of a matrix structure is that it promotes collaboration and communication. This open line of communication ultimately allows businesses to share resources and allows employees to develop new skills from working with different departments.
7. Circular Structure
While it might appear drastically different from the other organizational structures highlighted in this section, the circular structure still relies on hierarchy, with higher-level employees occupying the inner rings of the circle and lower-level employees occupying the outer rings.
That being said, the leaders or executives in a circular organization aren’t seen as sitting atop the organization, sending directives down the chain of command. Instead, they’re at the center of the organization, spreading their vision outward.
From an ideological perspective, a circular structure is meant to promote communication and the free flow of information between different parts of the organization. Whereas a traditional structure shows different departments or divisions as occupying individual, semi-autonomous branches, the circular structure depicts all divisions as being part of the same whole.
Disadvantages
From a practical perspective, the circular structure can be confusing, especially for new employees. Unlike with a more traditional, top-down structure, a circular structure can make it difficult for employees to figure out who they report to and how they’re meant to fit into the organization.
Advantages
Most examples of organizational structure have a top-down hierarchy. Alternatively, this type of structure follows an outward flow and contributes to information flowing freely across the business. Its benefits include keeping all employees aligned with the processes and goals of the company and encouraging employees to collaborate between departments.
8. Flat Structure
While a more traditional organizational structure might look more like a pyramid — with multiple tiers of supervisors, managers and directors between staff and leadership, the flat structure limits the levels of management so all staff are only a few steps away from leadership. It also might not always take the form or a pyramid, or any shape for that matter. As we mentioned earlier, It’s also a form of the “Organic Structure” we noted above.
This structure is probably one of the most detailed, It’s also thought that employees can be more productive in an environment where there’s less hierarchy-related pressures. This structure might also make staff feel like the managers they do have are more like equals or team members rather than intimidating superiors.
Disadvantages
If there’s a time when teams in a flat organization disagree on something, such as a project, it can be hard to get aligned and back on track without executive decisions from a leader or manager. Because of how complicated the structure’s design is, it can be tricky to determine which manager an employee should go to if they need approval or an executive decision for something. So if you do choose to have a flat organization, you should have a clearly marked tier of management or path that employers can refer to when they run into these scenarios.
Advantages
The elimination of middle management employees defines the flat structure type. Its advantages are instantaneous. First, it reduces the expenses of the company. Second, it allows staff to build direct relationships with upper management. And lastly, it shortens the decision-making process.
9. Network Structure
A network structure is often created when one company works with another to share resources — or if your company has multiple locations with different functions and leadership. You might also use this structure to explain your company workflows if much of your staffing or services is outsourced to freelancers or multiple other businesses.
The structure looks nearly the same as the Divisional Structure, shown above. However, instead of offices, it might list outsourced services or satellite locations outside of the office.
If your company doesn’t do everything under one roof, this is a great way to show employees or stakeholders how outsourcing of off-site processes work. For example, if an employee needs help from a web developer for a blogging project and the company’s web developers are outsourced, the could look at this type of chart and know which office or which person to contact outside of their own work location.
Disadvantages
The shape of the chart can vary based on how many companies or locations you’re working with. If it’s not kept simple and clear, there may be a lot of confusion if multiple offices or freelancers do similar things. If you do outsource or have multiple office locations, make sure your org chart clearly states where each specific role and job function lies so someone can easily understand your basic company processes.
Advantages
The outsourcing nature of the network structure provides companies with the advantages of lower costs, more focus, and increased flexibility. Outsourcing allows organizations to save money, as they don’t have to bear the expense of setting up a department for the same purpose. It also gives companies the flexibility to change their processes and the ability to focus on their core functions.
Why is having an organizational structure important?
Imagine a business that has no organizational structure. Instantly, questions arise about the systems and processes. Who makes the decisions? How are employees held accountable? What are the company’s goals? These questions are practically impossible to answer without a functional organizational structure.
Organizational structure is necessary for running a successful business because it improves workflow and efficiency, promotes communication, identifies company needs, and aligns employees with company goals. It directly affects how a business operates daily. When a company establishes a structure that works, the combined efforts of its employees, in conjunction with its systems and processes, allow the company to make better decisions for its future.
Navigating Organizational Structures
Organizational structures are central to a successful team. Employees can move comfortably, confidently, and efficiently when given a clear definition of their role within an organization.
Structure types will vary from business to business, so it’s important to remember that these structures are not one size fits all. Every type may not suit your organization, but chances are, one of them will. Use this post to determine which organizational structure works for you, and then it’s time for the real work to begin.
Editor’s note: This post was originally published in December 2014 and has been updated for comprehensiveness.
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MARKETING
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?
This is an AI generated influencer video.
Looks 100% real. Even the interior car detailing.
UGC content for your brand is about to get really cheap. ☠️ pic.twitter.com/2m10RqoOW3
— Jon Elder | Amazon Growth | Private Label (@BlackLabelAdvsr) March 26, 2024
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.
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Cover image by Joseph Kalinowski/Content Marketing Institute
MARKETING
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.
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]](https://articles.entireweb.com/wp-content/uploads/2024/04/How-to-Use-AI-For-a-More-Effective-Social-Media.png "How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds")
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:
The response that ChatGPT provided back is quite good:
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:
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:
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:
- Identify Your AI and Social Media Goals
- Validate Your AI-Related Assumptions
- Conduct Persona and Audience Research
- Select the Right Social Channels
- Identify Key Metrics and KPIs
- Choose the Right AI Tools
- 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:
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.
MARKETING
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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