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Opportunities & Limitations for Marketers [2023]

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Opportunities & Limitations for Marketers [2023]

Artificial Intelligence (AI) is one of the hottest topics in marketing right now, especially for the SEO industry. Although AI has been available for years, the velocity of tools being created, and the hype associated with them, has reached a blistering peak.

Naturally, marketers are starting to ask a few questions. What’s real? What’s possible? And how can I maximize my impact with this technology today?

To answer all those questions and more, let’s take a look at where we see the opportunities and limitations of AI tools for SEO in 2023.
 

What is AI?

 
It’s also important to keep in mind how Google and other search engines use and define AI. For example, Google says AI “is a set of technologies based primarily on machine learning and deep learning and is used for various functions, including object categorization, natural language processing, recommendations, intelligent data retrieval, and more.” 
 

What is AI-Driven SEO?

 
Marketers in the SEO industry are increasingly using AI to quickly understand what makes a specific site or piece of content rank on search engines. Then, with the rise of generative AI tools, they can even use AI to generate and optimize content before the competition. 

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ChatGPT, an AI-powered chatbot developed by OpenAI, has been especially disruptive when it comes to generative AI. While we don’t see this technology replacing human writers anytime soon, the quality of ChatGPT responses has people excited and wondering if it will dramatically shift the search landscape in the immediate future. 
 

A Brief History of AI in SEO

 
Given the waves ChatGPT has caused recently, some may not realize that Google has been a major force in AI research and has incorporated AI-driven algorithms into products like Gmail and Google Search for years.

On the SEO side, Google launched RankBrain in 2015 to better understand searcher queries. This announcement was the first time Google officially went on the record as using an artificial intelligence system in their algorithm. This was a significant step forward in Google’s understanding of the importance of sentence structure in queries. It also signaled the shift in SEO from the importance of keywords to the importance of entities. 

Fast forward to 2019, and Google announces the launch of BERT (Bidirectional Encoder Representations from Transformers), a neural network-based technique for natural language processing to better serve results for the large percentage of unique queries they receive every day.

With these groundbreaking technologies, a flood of SEO tools and use cases hit the market to incorporate similar systems into common SEO activities such as content creation, image optimization, and forecasting.

The most buzzworthy new tool, ChatGPT, was launched in 2022 and builds on GPT-3 that was launched in 2020. This instance of generative AI exploded onto the scene, and the results have been truly impressive. The boasts of this technology still appear to over-promise and under-deliver, but this is the closest we’ve gotten to date and foreshadows a rapidly approaching future. 
 

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How You Should be Using AI for SEO

 
It seems like no matter where you look, there’s always someone proposing a new way that tools like ChatGPT can help propel your SEO strategy forward. However, it’s not clear which use cases are helpful, and which aren’t a great use of your time. Here are four ways we recommend using AI for SEO:
 

Creating SEO Content with AI

 
Generative AI tools like ChatGPT can be incredibly useful in the brainstorming and idea-generation phase. With the ability to rapidly produce lists and ideas, you can conquer the tyranny of a blank page quicker than ever. Refining your prompts and going deeper on the ideas that spark your interest can illuminate your own original ideas and novel connections you wouldn’t have arrived at otherwise. 

One caveat here is that the large language model it uses to populate answers makes it likely that tools like ChatGPT will give you the most common answers related to your prompts. This may be fine in certain situations, but you won’t always want the most common answer. 

We also recommend heavily editing your content to help your brand’s voice shine through while adding personality and asserting your expertise. Keeping the human element in the equation will help you better connect with your customers.
 

Using AI for Content Optimization

 
Where AI can be more helpful is on the content optimization front. For shorter snippets of content using a template, such as product descriptions or meta descriptions, using generative AI tools to scale can lead to major efficiencies. Again, you’ll want a careful human eye to review for accuracy and adjust as necessary to reflect your brand’s expertise, but this can save you a ton of time. 

Finding natural language processing connections can also help you build authority around entities and provide another avenue for optimization. This should align naturally with the topics your brand talks about anyway and the topics your customers are interested in, but it provides another valuable lens.
 

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Automating SEO Workflows

 
While the text-based generative AI models are getting all the press right now, image classification was one of the first areas for AI to make waves and is arguably more advanced than the text content AI can create right now. AI tools for naming image files and creating ALT text can automate tedious manual processes. Using AI tools to generate reporting insights and distilling large data sets can also be extremely valuable.   
 

Scaling Your Existing SEO Strategy

 
While advances in AI over the past five years haven’t dramatically changed SEO strategy, it has enabled the ability to scale quickly. While blindly relying on AI negates the value of deep expertise in a field, it would be equally alarming if your SEO team didn’t employ any artificial intelligence at all. 
 

The Limitations of AI for SEO

 
As with any emerging field, there are not only limitations in the outputs but also considerable challenges and considerations around the impacts of these tools. We need to be thoughtful and cautious in our approach because we don’t know the things we don’t know. 

Here are a few of the current-day limitations of AI for SEO, especially generative AI tools.
 

Biases

 
The outputs of tools like ChatGPT depend on their training models, and when your data set is sourced from the internet, the problematic things that are posted when it comes to offensive language and stereotypes are going to be reflected in the tool’s outputs, which can also serve to perpetuate them.
 

Training Data

 
It’s essential to know the training data for your tool. For example, ChatGPT doesn’t access the internet, so when it gives an answer to you about viewing webpages, that isn’t an accurate description of how it operates. Its data set also only goes until 2021 (they make updates regularly), so it’s not the best resource for current events.
 

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Accuracy & Understanding

 
While the technology behind something like ChatGPT is incredible, the accuracy leaves a lot to be desired. A common issue is “hallucinating” or sounding very confident about an incorrect answer. 

The efficacy of using ChatGPT as a search engine right now is like considering me, a member of the SEO team, a search engine for paid search advice. With ten years of SEO experience and a wealth of experience working closely with our Paid Search team, I know a decent amount of the terminology, and I can give you a plausible-sounding answer if I need to. But what is the value in that? If you ask our paid search experts directly, you will be in much better hands. 

Since these tools don’t understand the material, their answers lack the requisite nuance of expertise. 

Knowing the potential pitfalls of your AI tools will help you use them more effectively. When you know what to look for, you can diligently review their outputs to avoid adverse outcomes for your brand.
 

AI-Driven SEO Tools to Try in 2023

 
With a steady stream of AI tools released every week, the impetus is on adding AI tools to your arsenal more than needing to use a specific tool or process. 

If you’re just starting to experiment with ChatGPT and getting excited about what AI can do for your program, here are some tools to try this year:
 

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Low-Budget Content Tools

 
Our first bucket is budget-friendly content tools. Depending on your preferences, tools like Jasper, Copy.ai, and Frase are great options in this tier that can cost you less than $100/mo. Each tool has particular strengths, ranging from helpful templates to robust competitor research, that can elevate your current content process.
 

Enterprise-Level AI Insights Tools

 
Enterprise SEO clients have unique needs. The tools and platforms servicing this market have been experimenting with AI for better business insights for years. While these tools are significantly more expensive, if your website has millions of web pages or brings in millions of dollars of revenue through organic traffic, they can help you stay on top of the competition.

All of the following brands have an AI offering for data analysis and providing SEO recommendations:

 

There are AI-assisted tools for just about every aspect of SEO, but the important thing is to match that with your team’s expertise and the goals you’re trying to accomplish. These tools won’t replace your experts, but they can make their work easier and more impactful. 
 

Looking Ahead: Future State of AI in SEO

 
One of the time-honored traditions in the SEO field is to ask if SEO is dead. This question is revisited in countless think pieces every year, and the dawn of ChatGPT was merely another occasion to opine on the industry’s mortality. 

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So will ChatGPT finally spell the end of search engines? Doubtful. 

While it will probably siphon off some usage from search engines, it’s difficult to imagine a wholesale change in global user behavior that completely upends Google in the short term. 

While SEOs are well-accustomed to grappling with their mortality, the past year is the first time that think-pieces threatened Google’s existence. First with Gen Z’s extensive use of TikTok and now with the AI chatbots. It’s not to say that empires don’t fall, nor that they can’t collapse quickly. Any good financial advisor would caution that past performance isn’t indicative of future results, but even OpenAI CEO Sam Altman said in this article with The Verge, “I think whenever someone talks about technology being the end of some other giant company, it’s usually wrong. I think people forget they get to make a countermove here, and they’re like pretty smart, pretty competent. I do think there’s a change for search that will probably come at some point – but not as dramatically as people think in the short term.”    

While it can’t move as quickly given its position as the incumbent, Google has already flung itself headfirst into the AI arena by announcing Bard, an AI-powered chat feature, to compete with ChatGPT and Microsoft’s integration of OpenAI technology into its products. 

While we anticipate the arms race between the search engines to continue, we also expect GPT-4 (available now) is the next step forward in generative AI and will be multimodal, expanding from text capacity to video, images, and sound. 
 

Conclusion

 
It seems like the world has changed since ChatGPT burst onto the scene, and in some ways, it has, but in others, this is just the next step in a decades-long process. It could portend rapid change or it could be a flash in the pan as people realize they don’t actually prefer a conversational model of search results. 

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What we do know is this; it’s worth paying close attention to every development, maximizing the tools we have at our disposal today, and ensuring we have expert practitioners to make these tools valuable. 

The outlook today could look very different in the second half of the year – so it’s important to have a partner who keeps a close eye on the industry. If you’d like help navigating this constantly changing search landscape, reach out to our SEO services team or contact us today.

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

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

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

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

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

AI in the workplace data graphic, Foundation Labs

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

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

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

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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.

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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:

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ChatGPT prompt example

The response that ChatGPT provided back is quite good:

GPT response example

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

  • Demographics
  • Psychographics
  • Consumer behaviors
  • Needs and preferences

And best of all…

It also included marketing recommendations.

The power of AI is unbelievable.

Social Media Content Using AI

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

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

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

AI social media caption generator step 1

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

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

It can also help you navigate hashtags:

AI social media hashtags generator example, HubSpot

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

Enhanced Personalization

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

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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.

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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.

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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.

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

How to Implement AI into Your Social Media Strategy

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

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

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

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

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

1. Identify Your AI and Social Media Goals

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

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

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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.

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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.

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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?

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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:

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AI social media generator example

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

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

7. Evaluate and Refine Your Social Media and AI Strategy

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

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

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

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

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Make AI Work for You — Now and in the Future

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

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

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

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Advertising in local markets: A playbook for success

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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. 

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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.

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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

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

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Battling for Attention in the 2024 Election Year Media Frenzy

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Battling for Attention in the 2024 Election Year Media Frenzy

Battling for Attention in the 2024 Election Year Media Frenzy

As we march closer to the 2024 U.S. presidential election, CMOs and marketing leaders need to prepare for a significant shift in the digital advertising landscape. Election years have always posed unique challenges for advertisers, but the growing dominance of digital media has made the impact more profound than ever before.

In this article, we’ll explore the key factors that will shape the advertising environment in the coming months and provide actionable insights to help you navigate these turbulent waters.

The Digital Battleground

The rise of cord-cutting and the shift towards digital media consumption have fundamentally altered the advertising landscape in recent years. As traditional TV viewership declines, political campaigns have had to adapt their strategies to reach voters where they are spending their time: on digital platforms.

1713626763 903 Battling for Attention in the 2024 Election Year Media Frenzy1713626763 903 Battling for Attention in the 2024 Election Year Media Frenzy

According to a recent report by eMarketer, the number of cord-cutters in the U.S. is expected to reach 65.1 million by the end of 2023, representing a 6.9% increase from 2022. This trend is projected to continue, with the number of cord-cutters reaching 72.2 million by 2025.

Moreover, a survey conducted by Pew Research Center in 2023 found that 62% of U.S. adults do not have a cable or satellite TV subscription, up from 61% in 2022 and 50% in 2019. This data further underscores the accelerating shift away from traditional TV and towards streaming and digital media platforms.

As these trends continue, political advertisers will have no choice but to follow their audiences to digital channels. In the 2022 midterm elections, digital ad spending by political campaigns reached $1.2 billion, a 50% increase from the 2018 midterms. With the 2024 presidential election on the horizon, this figure is expected to grow exponentially, as campaigns compete for the attention of an increasingly digital-first electorate.

For brands and advertisers, this means that the competition for digital ad space will be fiercer than ever before. As political ad spending continues to migrate to platforms like Meta, YouTube, and connected TV, the cost of advertising will likely surge, making it more challenging for non-political advertisers to reach their target audiences.

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To navigate this complex and constantly evolving landscape, CMOs and their teams will need to be proactive, data-driven, and willing to experiment with new strategies and channels. By staying ahead of the curve and adapting to the changing media consumption habits of their audiences, brands can position themselves for success in the face of the electoral advertising onslaught.

Rising Costs and Limited Inventory

As political advertisers flood the digital market, the cost of advertising is expected to skyrocket. CPMs (cost per thousand impressions) will likely experience a steady climb throughout the year, with significant spikes anticipated in May, as college students come home from school and become more engaged in political conversations, and around major campaign events like presidential debates.

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For media buyers and their teams, this means that the tried-and-true strategies of years past may no longer be sufficient. Brands will need to be nimble, adaptable, and willing to explore new tactics to stay ahead of the game.

Black Friday and Cyber Monday: A Perfect Storm

The challenges of election year advertising will be particularly acute during the critical holiday shopping season. Black Friday and Cyber Monday, which have historically been goldmines for advertisers, will be more expensive and competitive than ever in 2024, as they coincide with the final weeks of the presidential campaign.

To avoid being drowned out by the political noise, brands will need to start planning their holiday campaigns earlier than usual. Building up audiences and crafting compelling creative assets well in advance will be essential to success, as will a willingness to explore alternative channels and tactics. Relying on cold audiences come Q4 will lead to exceptionally high costs that may be detrimental to many businesses.

Navigating the Chaos

While the challenges of election year advertising can seem daunting, there are steps that media buyers and their teams can take to mitigate the impact and even thrive in this environment. Here are a few key strategies to keep in mind:

Start early and plan for contingencies: Begin planning your Q3 and Q4 campaigns as early as possible, with a focus on building up your target audiences and developing a robust library of creative assets.

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Be sure to build in contingency budgets to account for potential cost increases, and be prepared to pivot your strategy as the landscape evolves.

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Embrace alternative channels: Consider diversifying your media mix to include channels that may be less impacted by political ad spending, such as influencer marketing, podcast advertising, or sponsored content. Investing in owned media channels, like email marketing and mobile apps, can also provide a direct line to your customers without the need to compete for ad space.

Owned channels will be more important than ever. Use cheaper months leading up to the election to build your email lists and existing customer base so that your BF/CM can leverage your owned channels and warm audiences.

Craft compelling, shareable content: In a crowded and noisy advertising environment, creating content that resonates with your target audience will be more important than ever. Focus on developing authentic, engaging content that aligns with your brand values and speaks directly to your customers’ needs and desires.

By tapping into the power of emotional triggers and social proof, you can create content that not only cuts through the clutter but also inspires organic sharing and amplification.

Reflections

The 2024 election year will undoubtedly bring new challenges and complexities to the world of digital advertising. But by staying informed, adaptable, and strategic in your approach, you can navigate this landscape successfully and even find new opportunities for growth and engagement.

As a media buyer or agnecy, your role in steering your brand through these uncharted waters will be critical. By starting your planning early, embracing alternative channels and tactics, and focusing on creating authentic, resonant content, you can not only survive but thrive in the face of election year disruptions.

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So while the road ahead may be uncertain, one thing is clear: the brands that approach this challenge with creativity, agility, and a steadfast commitment to their customers will be the ones that emerge stronger on the other side.


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