MARKETING

Deep changes in the CDP space

Published

2 years ago

December 30, 2021

There’s a sense of tectonic shift in the marketing technology space right now. Of course, it’s a space which has been growing and evolving at a staggering pace for some ten years. I’m talking about more fundamental change.

Think of marketing automation, CRM and customer data as three of the tectonic plates which make up marketing technology’s crust. They’re moving. Imperceptibly, perhaps, at the level of day-to-day operations and campaigns, but discernibly at a more strategic level. I’ll be honest, I don’t know what the new configuration of marketing technology will be – but I think I know the right question to ask: What is the future of the customer data platform? Will CDPs take over the activate-and-execute role of marketing automation? Will they supersede CRM as repositories of customer data?

Boom or bust for independent CDPs?

It’s easy – and accurate – to think of the CDP category as large and growing. There’s a lot of interest in CDPs, especially, but not only, from enterprise B2C brands trying to personalize engagement with their customers at scale. At the same time, independent CDPs, some of them well-established and well-known, are being gobbled up at an unprecedented rate by more comprehensive marketing suites or digital experience platforms.

AgilOne acquired by Acquia, Segment by Twilio, Zylotech by Terminus, Boxever by Sitecore, Zaius by Optimizely, BlueVenn by Upland Software, Exponea by Bloomreach: That’s a trend. At the same time, independent CDPs like Treasure Data, Amperity, Tealium and Blueshift raised significant amounts in funding this year.

Is the independent CDP category under threat or not? I asked Tasso Argyros, the founder and CEO of a leading enterprise CDP, ActionIQ, what’s going on.

“My view is that the independent CDPs that have been sold so far were either struggling to break through and had given up on being leaders of the CDP category, or they weren’t core CDPs – by core CDPs I mean the CX hub.” An example of the first kind, AgilOne, was such an early entrant to the category that its product was built on outdated technology, he said.

“In the other category are companies like Segment. Segment was a tag manager and they were trying to expand more towards intelligence and orchestration, but the reality is that their roots were in capturing and moving pieces of data around, not so much in doing analytics and orchestration – so it was hard for them to compete as an enterprise standalone.”

Argyros, naturally, sees an opportunity for ActionIQ to be the dominant independent player in the space. “That opportunity is massive and it would be too early for us to sell right now. That being said, how much space is there for dominant CDP platforms? I think two or three at most. Everyone else will get acquired at the end of the day – that’s my prediction.”

Part of the value proposition of an independent CDP, he explained, is to enable a best-of-breed stack. Adopting an Adobe or Oracle or Salesforce CDP can have the effect of locking brands in to other solutions from those big players. “You go with ActionIQ, you can have a truly best-of-breed stack. We play well with anyone.”

Treasure Data, another CDP with large enterprise brands on its client list, raised $234 million in venture funding in November. Founder and CEO Kazuki Ohta echoed Argyros’s observations. “The vendors who cannot grow faster and cannot raise the money from VCs are obviously trying to find an exit,” he said. “This is a hot industry, it’s a good time to exit.”

Like ActionIQ, Treasure Data’s proffer is vendor neutrality. “It’s sort of like a Switzerland approach,” said Ohta. “

The need for independent CDPs

I turned to one of the closest observers of the category, David Raab, founder of the CDP Institute and an occasional MarTech contributor. “The companies buying them, in most cases, have multichannel delivery systems. Those systems are often acquired and not natively integrated, and they realize they need that CDP to pull the data together to integrate their own systems, as well as pull in data from other channels that they’re not managing. There’s a demand from their buyers for unified data. It’s really hard to build a CDP so it makes more sense to buy one. Easier and quicker.”

Does this trend threaten the independent CDP category? “It certainly shrinks the market for the independents,” he said. “What we expect to happen is that the independents will specialize more in particular niches, making it easier for them to defend their position.”

There will continue to be a need for independent CDPs at the enterprise level, where multiple functions – not just marketing – need to be able to manage and activate customer data. “That’s where ActionIQ sits, that’s where Treasure Data sits,” Raab said. “You need that CDP to be vendor-neutral. Then there will be the verticals, specializing in transport or healthcare or education. We’re seeing a lot of CDPs that are vertical industry specialists and that’s also a defensible position.”

In fact, ActionIQ recently staked its claim as a CDP for the healthcare space, while Treasure Data, which started out selling into marketing organizations, is now explicitly addressing other functions in the enterprise with its CDP for Service and CDP for Sales.

This made sense to Raab. “There are multiple buying centers. Marketing has been the primary one, but customer success has always been a buying center for CDPs. There are paths into companies which are not the marketing path or the IT path or the data team path. There’s a value in department verticalization where you have special features that work best for customer success or for whatever department you’re selling into.”

One thing that puzzled me initially about offering CDPs for what Raab calls departmental verticals is that it surely creates data siloes. Ohta explained: “It’s just a fact that our customer’s organization is siloed and also data is siloed. If you look at the 150-plus CDPs in the market, they’re trying to pitch their product primarily to the marketing department. We’re trying to change our customers’ behavior to use data in every single division so they can better serve their customers in every part of the customer journey.”

The next step, then, is to pull together the profiles in marketing and service and sales siloes, to produce a comprehensive view? “Yes,” said Ohta, “of course.”

Next generation campaign management

It’s practically received wisdom that not every solution offered as a CDP is a real CDP, but in fact it might be accurate to say that there have always been different types of CDP. The distinctions are becoming starker as some CDPs aim to be not just the single source of truth on customers, but the hub for orchestrating and delivering customer experiences.

This type of full-service CDP goes by various names. Vijay Chittoor, founder and CEO of Blueshift, calls CDPs which deliver profile unification, audience segmentation and campaign activation “smart hub” CDPs, a term borrowed from Gartner. Argyros talks about CDPs as the “CX hub” or “next generation campaign management.”

“There are a couple of types of CDP in the market,” said Ohta. “One is the vendors that came from a tag management space where they focus on the website and mobile data collection side. The other one is more on the activation, the execution side. There’s a lot of confusion around the category itself, I admit.” Treasure Data, said Ohta, could expand into execution, but it positions itself as being able to activate the data, but feeding it into other solutions – ESPs, messagine channels and so on – for execution.

The idea that the main job of the CDP should be to connect data is just wrong, Argyros told me. “We do it because we have to.” How much depends on whether the client has their data in order. “Connecting data is a means to an end, and if we don’t have to connect data we love that. We can deploy faster. What the CDP is becoming,” he said, “is essentially a next generation campaign management platform and a next generation customer intelligence platform.”

He continued: “In the past, campaign management was completely disconnected from the data, because there wasn’t much data to begin with. Now that you have terabytes and terabytes of data, your campaign management platform has to do very large-scale data processing. What you see is a collapse of the data mart that was used for campaigns into a single stack that’s called a CDP today. It’s like campaign management 3.0.”

Customer intelligence is critical too, Argyros argues. The tools for doing customer intelligence outside a CDP are inherently limited. Web analytics is restricted to website activity. Business intelligence gives good aggregate level data but cannot provide customer journey level insights. “The CDP has become the de facto place to gather intelligence and tie it really well with campaigns. You go from data to intelligence to action in the same platform, which is the CDP.”

Will smart hub CDPs make marketing automation redundant?

Raab doesn’t see CDPs usurping the role of MA. “Most marketing automation systems are really sending out emails primarily and there are some CDPs that can send out emails.” He offered Algonomy as an example of a CDP with core email marketing capabilities.

“There’s quite a few that have very strong delivery capabilities, channel-facing capabilities, and they’re absolutely doing what marketing automation can do,” he said. “In other cases, not so much. Marketing automation often has a B2B flavor to it and there’s a close integration with the CRM system. You have a bunch of specialist features that you’re getting from a marketing automation system that may not be built into a CDP.”

There’s also a key difference in the way data is structured in marketing automation and CDPs, he added. “You have a big bulk data store that stores everything in all the gruesome detail – semi-structured at best.” That’s the CDP. “Then you have a more structured data store that does all your segmentation and runs your marketing automation and so on. You’re always going to have basically two different kinds of technology, each doing what they’re best at. Are they in the same system? Great, that saves you some trouble.”

About The Author

Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space. He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020. Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.

MARKETING

Effective Communication in Business as a Crisis Management Strategy

Published

2 hours ago

April 25, 2024

Entireweb News Bot

Effective Communication in Business as a Crisis Management Strategy

Everyday business life is full of challenges. These include data breaches, product recalls, market downturns and public relations conflicts that can erupt at any moment. Such situations pose a significant threat to a company’s financial health, brand image, or even its further existence. However, only 49% of businesses in the US have a crisis communications plan. It is a big mistake, as such a strategy can build trust, minimize damage, and even strengthen the company after it survives the crisis. Let’s discover how communication can transform your crisis and weather the chaos.

The ruining impact of the crisis on business

A crisis can ruin a company. Naturally, it brings losses. But the actual consequences are far worse than lost profits. It is about people behind the business – they feel the weight of uncertainty and fear. Employees start worrying about their jobs, customers might lose faith in the brand they once trusted, and investors could start looking elsewhere. It can affect the brand image and everything you build from the branding, business logo, social media can be ruined. Even after the crisis recovery, the company’s reputation can suffer, and costly efforts might be needed to rebuild trust and regain momentum. So, any sign of a coming crisis should be immediately addressed. Communication is one of the crisis management strategies that can exacerbate the situation.

The power of effective communication

Even a short-term crisis may have irreversible consequences – a damaged reputation, high employee turnover, and loss of investors. Communication becomes a tool that can efficiently navigate many crisis-caused challenges:

Improved trust. Crisis is a synonym for uncertainty. Leaders may communicate trust within the company when the situation gets out of control. Employees feel valued when they get clear responses. The same applies to the customers – they also appreciate transparency and are more likely to continue cooperation when they understand what’s happening. In these times, documenting these moments through event photographers can visually reinforce the company’s messages and enhance trust by showing real, transparent actions.
Reputation protection. Crises immediately spiral into gossip and PR nightmares. However, effective communication allows you to proactively address concerns and disseminate true information through the right channels. It minimizes speculation and negative media coverage.
Saved business relationships. A crisis can cause unbelievable damage to relationships with employees, customers, and investors. Transparent communication shows the company’s efforts to find solutions and keeps stakeholders informed and engaged, preventing misunderstandings and painful outcomes.
Faster recovery. With the help of communication, the company is more likely to receive support and cooperation. This collaborative approach allows you to focus on solutions and resume normal operations as quickly as possible.

It is impossible to predict when a crisis will come. So, a crisis management strategy mitigates potential problems long before they arise.

Tips on crafting an effective crisis communication plan.

To effectively deal with unforeseen critical situations in business, you must have a clear-cut communication action plan. This involves things like messages, FAQs, media posts, and awareness of everyone in the company. This approach saves precious time when the crisis actually hits. It allows you to focus on solving the problem instead of intensifying uncertainty and panic. Here is a step-by-step guide.

Identify your crisis scenarios.

Being caught off guard is the worst thing. So, do not let it happen. Conduct a risk assessment to pinpoint potential crises specific to your business niche. Consider both internal and external factors that could disrupt normal operations or damage the online reputation of your company. Study industry-specific issues, past incidents, and current trends. How will you communicate in each situation? Knowing your risks helps you prepare targeted communication strategies in advance. Of course, it is impossible to create a perfectly polished strategy, but at least you will build a strong foundation for it.

Form a crisis response team.

The next step is assembling a core team. It will manage communication during a crisis and should include top executives like the CEO, CFO, and CMO, and representatives from key departments like public relations and marketing. Select a confident spokesperson who will be the face of your company during the crisis. Define roles and responsibilities for each team member and establish communication channels they will work with, such as email, telephone, and live chat. Remember, everyone in your crisis response team must be media-savvy and know how to deliver difficult messages to the stakeholders.

Prepare communication templates.

When a crisis hits, things happen fast. That means communication needs to be quick, too. That’s why it is wise to have ready-to-go messages prepared for different types of crises your company may face. These messages can be adjusted to a particular situation when needed and shared on the company’s social media, website, and other platforms right away. These templates should include frequently asked questions and outline the company’s general responses. Make sure to approve these messages with your legal team for accuracy and compliance.

Establish communication protocols.

A crisis is always chaotic, so clear communication protocols are a must-have. Define trigger points – specific events that would launch the crisis communication plan. Establish a clear hierarchy for messages to avoid conflicting information. Determine the most suitable forms and channels, like press releases or social media, to reach different audiences. Here is an example of how you can structure a communication protocol:

Immediate alert. A company crisis response team is notified about a problem.
Internal briefing. The crisis team discusses the situation and decides on the next steps.
External communication. A spokesperson reaches the media, customers, and suppliers.
Social media updates. A trained social media team outlines the situation to the company audience and monitors these channels for misinformation or negative comments.
Stakeholder notification. The crisis team reaches out to customers and partners to inform them of the incident and its risks. They also provide details on the company’s response efforts and measures.
Ongoing updates. Regular updates guarantee transparency and trust and let stakeholders see the crisis development and its recovery.

Practice and improve.

Do not wait for the real crisis to test your plan. Conduct regular crisis communication drills to allow your team to use theoretical protocols in practice. Simulate different crisis scenarios and see how your people respond to these. It will immediately demonstrate the strong and weak points of your strategy. Remember, your crisis communication plan is not a static document. New technologies and evolving media platforms necessitate regular adjustments. So, you must continuously review and update it to reflect changes in your business and industry.

Wrapping up

The ability to handle communication well during tough times gives companies a chance to really connect with the people who matter most—stakeholders. And that connection is a foundation for long-term success. Trust is key, and it grows when companies speak honestly, openly, and clearly. When customers and investors trust the company, they are more likely to stay with it and even support it. So, when a crisis hits, smart communication not only helps overcome it but also allows you to do it with minimal losses to your reputation and profits.

MARKETING

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

Published

24 hours ago

April 24, 2024

Entireweb News Bot

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
Advertisement

— 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.

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

HANDPICKED RELATED CONTENT:

Cover image by Joseph Kalinowski/Content Marketing Institute

MARKETING

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

Published

3 days ago

April 22, 2024

Entireweb News Bot

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.

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.