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AI Risks: Can Artificial Intelligence Affect Your Brand Equity?



6 Ways ChatGPT Can Improve Your SEO

The author’s views are entirely their own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

Brand equity — that intangible asset that sets your brand apart and directly impacts its success, can either flourish or wither at the hands of artificial intelligence (AI).

Using artificial intelligence in your external communications can be a threat to any brand equity you’ve built up, but does this mean you shouldn’t use it at all?

In this article, we’ll explore the delicate dance between technology and human connection, exploring the AI risks when it comes to your brand equity.

What is brand equity?

Brand equity is the value gained from a consumer’s perception of a company, service, or product — beyond its functional attributes. It is the cumulative effect of various factors that contribute to how a brand is perceived, recognized, and differentiated from others within its industry.

There are four main elements of brand equity:

  • Brand awareness: The recognition and familiarity consumers have with a brand. If a customer has strong brand awareness, they are more likely to think of it when making purchase decisions — this is the first step to building brand equity.

  • Brand associations: The characteristics, qualities, and attributes that consumers associate with a brand. This can be through previous experiences, recommendations, or even online perceptions.

  • Perceived quality: The consumer’s perception of the overall quality of the brand. This will differ from person to person and does not always reflect the actual quality, instead being based on parameters that are important to the individual.

  • Brand loyalty: When a consumer chooses to buy from a particular brand over others. This could be related to repeat purchases or recommendations for higher ticket items, such as mortgages.

Brand equity will have a significant impact on the company’s success. Stronger brand equity often means brands can justify higher prices, enjoy customer loyalty, and be protected against competitors.

How does brand equity relate to AI usage?

Like everything else in marketing, AI can affect brand equity. With AI tools widely available, the two elements of brand equity that could be impacted are brand awareness and brand associations, i.e. what they see of your brand before having their own experiences.

When AI is harnessed effectively, it can either boost or erode brand equity depending on whether it enhances authentic customer interactions or turns them into robotic, disconnected experiences. In essence, the smart use of AI can either reinforce your brand’s value or, if mishandled, risk damaging the trust and emotional connections you’ve worked so hard to build.

How the overuse of AI can affect your brand equity

Brand equity is the culmination of years of trust-building, consistent messaging, and positive customer interactions. It’s the intangible asset that sets your brand apart in the hearts and minds of your audience.

The right AI-driven experiences can drive awareness and solidify positive brand associations in the minds of your customers. But while the temptation is there to utilize AI-generated content to speed up output, it’s important to know when to use it and when to stop.

Dangers of overusing AI for your customer communications

AI can be a valuable asset, but it can also be a potential liability in your marketing toolkit. It’s crucial to tread carefully and be mindful of the potential dangers lurking when AI-generated content is used within your communications.

A graphic showing five dangerous of overusing AI: loss of personal touch, privacy concerns, not understanding intent, loss of brand identity, and lack of human interaction.

Losing that personal touch

Your brand was made by humans, for humans. If your customers start to feel as if their interactions with your brand are too automated and lacking that vital human empathy, the emotional connection you’ve spent so much time building will begin to weaken. For example, you ask an AI tool to produce an article around a specific topic, and you upload that content straight to your site without fact-checking or personalizing it. That piece will stand out from the articles already on your website, either because of the change in tone of voice or mistakes and inaccuracies within it, leading the reader to question your branding, authority, and trustworthiness.

That loss of personal touch to content can not only affect what your customers feel about your brand but can also impact your site’s ability to rank. A recent AI vs. humans experiment carried out by Reboot found that pages created by copywriters outperformed AI-generated content in search engine result pages (SERPs).

Privacy concerns

Using AI tools to collect and analyze personal data can raise privacy concerns within your customer base. Because artificial intelligence is about always learning and improving, AI tools will store any information put into them, which includes any data. Allowing another party to store customer data opens up more opportunities for it to be viewed, copied, and even stolen by outside sources.

If your consumers believe their personal information is being misused by AI tools or their privacy is compromised, you can erode the trust in your brand and damage your overall brand equity.

To negate these privacy risks, some AI tools give you the option to opt out of this data storage. On ChatGPT, for example, there is a setting you can use to prevent it from saving your chat history.

Not understanding intent

Understanding and fulfilling intent is what helps your content to rank, and keeps your customers happy. AI content tools and recommendation systems might be unable to pinpoint customer intent or preferences. Continually missing the mark of what your customers want could negatively impact their perception of your brand’s competence.

If you’re looking to combat this pitfall, you can try asking the AI tool to create a piece of content with a particular search intent in mind. As with all content produced by artificial intelligence, though, this will need to be thoroughly fact-checked and edited by a skilled copywriter.

Loss of brand identity

Your communications could lack consistency with your brand’s image if they are solely produced by AI tools or even a mix of AI and human-generated content. Recognizable features of your brand are watered down, which could lead to confusion among your customers and a dilution of the all-important brand image.

Not only this but how can you be sure your tone of voice stands out when your competitors have access to the same AI tools? You know your brand best, and it is in your best interest to ensure any information you put out there is accurate, relevant, and on-brand.

Lack of human interaction

For complex or emotionally sensitive issues, customers might prefer human interaction rather than AI. If you don’t offer this option or rely too much on AI for customer service by only offering chatbots or email assistance run by artificial intelligence tools, you may start to notice increased dissatisfaction and reduced loyalty.

Can AI tools recreate recognizable brand communications?

As mentioned before, AI will affect your customers’ awareness and perception of your brand, primarily if you use it in your communications. Can you trust AI-generated content to adopt your tone of voice accurately?

Brand tone of voice is a direct manifestation of its personality and values. It’s what drives brand perception and feeds into equity if you take away all of the visuals, logos, and videos.

Let’s see how a popular AI tool, ChatGPT, deals with mimicking the tone of voice of a famous and instantly recognizable brand.

AI tackles Cards Against Humanity

Cards Against Humanity has one of the most identifiable brand voices out there, which feeds into customer perception. There are specific qualities and characteristics that those familiar with the brand would expect from its communications.

To test out the AI tool, we input the prompt:

Please write a 120-word ‘About Us’ section to be used on the Cards Against Humanity website. Make sure this copy is instantly recognizable to customers by matching the brand’s tone of voice and style of writing.

The word limit was to make sure the copy fits in line with the existing page the brand already has. For reference, this is the brand’s current About Us page on the site:

A screenshot of the About Us page on the Cards Against Humanity site in 2023.
Cards Against Humanity

It’s short, to the point, and has brand-specific humor; it doesn’t take itself too seriously. It’s a tone that anyone familiar with the brand would associate with their messaging. But how will an artificial intelligence tool compare?

Going off the prompt, this is what ChatGPT produced:

A screenshot of ChatGPT's version of an About Us page for Cards Against Humanity.

While the finished products are dissimilar, you can pick out inspiration from the brand’s existing content. With phrases such as ‘renegades of irreverence’ and ‘inner misfit’, Cards Against Humanity’s somewhat overtly offensive branding comes through.

However, Cards Against Humanity thrives within the sarcasm, self-deprecating space, which is where the ChatGPT content misses out. It doesn’t quite have that tongue-in-cheek humor that is apparent from its existing About Us page.

How this could affect brand equity

Consistent branding is pivotal in constructing and upholding a positive brand perception. If you’ve built up a consumer base familiar with a particular tone of voice and personality but then start to move away from this, you’ll go against their perceptions and chip away at their brand awareness.

Even though Cards Against Humanity has already formed relatively strong brand equity through years of consistent messaging and good-quality products, that doesn’t mean it’s invincible. If the brand decides to go ahead with AI-generated content for its future communications, it risks going against its consumer perceptions and damaging its brand equity in the long run.

Striking the balance between automation and the human touch

AI isn’t the enemy of brand equity. But you do need to be careful when using it. Balancing creativity caution with AI is like finding the perfect blend in your morning coffee — too much AI can leave a bitter taste.

You should aim to avoid your AI-generated content coming across as robotic or inconsistent with your brand identity. By selecting the appropriate AI tool and always referring back to your brand’s unique voice, you still have the ability to craft captivating content that truly connects with your audience. Here’s how you do it:

A graphic showing the four steps of using AI content successfully.

1. Have a solid TOV guide

Why is having a tone of voice (TOV) guide a big deal?

It’s a roadmap for your messaging, ensuring your brand always sounds like, well, your brand!

This consistency is crucial for brand recognition and recall. When your audience can easily identify your style and personality across different channels, it’s like having a familiar face in a crowd — feeding into brand awareness and perception.

A well-crafted TOV guide can even set you apart from competitors in a sea of voices, helping you stand tall in your niche.

How to create a TOV guide:

  • Start by digging deep into your brand’s purpose. What’s your mission? Who’s your audience? What values drive your business?

  • Once you’ve got those nailed down, pinpoint your brand’s personality traits. Are you fun and casual, or all about professionalism?

  • Lay down some ground rules. Decide on vocabulary preferences, sentence structures, and even whether to use emojis (yes, they can be part of your TOV!).

But it doesn’t stop there. The key to a good TOV guide is keeping it fresh. Revisit and update it as your brand evolves. Get your team on board, train them up, and keep the dialogue open for feedback and tweaks.

2. Train AI tools to recognize and use your TOV

You can train many AI-content tools to use your brand’s TOV as you would with any new starter. Start by feeding it some of your brand’s past content so it begins to understand how you structure your sentences, how informal your messaging is, and how you talk to your audience.

Then, using Natural Language Processing (NLP) and machine learning, AI recognizes patterns in your communications and starts to produce similar content. With time and ongoing pointers, amendments, and tweaks, most tools can begin to recognize and use your TOV.

But remember, it’s an ongoing practice. You have to continuously fine-tune and review its outputs to keep it singing in perfect harmony with your brand’s voice.

3. Monitor AI content and edit

Even after you’ve trained your chosen AI tool to mimic your brand’s TOV, you still have to thoroughly check and edit the content it has created. Just as you would proofread and edit any work from a content writer.

Monitor the output and use your TOV guide to ensure it hits the brand’s values, tone, and messaging standards. AI tools occasionally throw out incorrect facts or statements without context. Publishing anything incorrect that can be disproven by your audience will alter brand associations and even perceived quality, so it’s important to have a rigorous fact-checking system in place.

4. Test and give feedback to the AI tool

    Think of the AI tool as an eager employee. If you want it to improve, you need to provide thought-out feedback.

    Start by conducting structured evaluations of its outputs against predefined criteria, measuring aspects like accuracy, relevance, and adherence to your brand’s tone of voice.

    Then, maintain a clear and consistent feedback loop, offering specific and constructive comments to help the AI tool learn and improve over time, ultimately aligning it more closely with your brand’s unique requirements.

    How to safely build brand equity with AI

    The good news is that by adopting a thoughtful approach to AI and making some adjustments, you can generate content for your brand that is entirely distinctive and tailored to your identity.

    There are some ways you can use AI tools that will work to spot patterns in your analytics to inform your ongoing strategies, as well as improve customer experiences.

    A graphic showing two ways to build brand equity with AI: Spotting data patterns and improving customer experiences.

    Spotting data patterns and unearthing customer insights

    Analyze customer data

    Some AI tools can analyze large datasets, such as customer churn rates and sentiment analyses on social media, to identify patterns, trends, and correlations. This valuable insight into customer behavior can help to inform your brand to craft personalized marketing strategies and improved user experiences, ultimately leading to better decision-making and enhanced customer satisfaction.

    It’s worth keeping in mind the privacy concerns point from above, though, making sure the AI tool you use has the option to not store chat history for this.

    Stay in the loop with social media

    There are AI tools that can track brand mentions, sentiment analysis, and emerging trends on social media. This will allow your social media marketing team to spend more time elsewhere, crafting perfect campaigns to work with the AI’s findings.

    Do market research

    Artificial intelligence has reshaped the field of market research, providing tools that can dissect data and generate invaluable insights. This is a great way to save your team time that would otherwise be used to analyze this data.

    An example prompt to do so could be:

    Generate a report summarizing the current market trends and customer preferences for [specific product, service, or industry]. Include information on key businesses and any notable shifts in consumer behavior. Please provide statistics and insights from the past year.

    Improving customer experiences

    Personalize content

    After you’ve already used AI to sift through customer datasets, you can use the findings to produce personalized content tailored to their needs and preferences. This can span from customized product suggestions to tailor-made marketing messages.

    24/7 chatbots

    24/7 AI chatbots enhance the customer experience by delivering quick and reliable service around the clock — chatbot conversions are also pretty powerful for your bottom line. You can provide instant, consistent, and cost-effective customer support, handling routine queries efficiently and freeing human agents for more complex issues.

    Automatic subtitles and image captions

    With video becoming one of the preferred methods of consuming content, AI-powered subtitle generators such as Kapwing and VEED’s tools are getting increasingly popular. This helps with accessibility, which can improve user experience and save your team time.

    How to avoid AI risks when it comes to your brand equity

    Safely building brand equity with AI involves a strategic approach to harnessing the technology while mitigating potential risks. Here’s how to do it:

    1. Define your brand’s AI strategy: Begin by setting clear objectives for AI integration in your branding efforts. How will you use it? Will you use the tools to generate content, automate processes, or gather insights? Ensure you have answers for these and the goals behind them. What are you hoping to achieve?

    2. Apply strict quality control: Establishing a robust review and approval process for AI-generated content will help to protect your brand awareness, associations, and perceived quality. Human oversight will always be needed to catch errors and maintain consistency in messaging.

    3. Remain transparent: Maintaining transparency with your audience about your AI use will help to build and keep their trust. If chatbots or automated systems are handling customer inquiries, make it clear that customers are interacting with AI. If a blog post has been produced using AI, add a disclaimer about it highlighting who the piece was checked by to make sure you’re still hitting ‘experience’ and ‘expertise’ in E-E-A-T.

    4. Focus on data privacy and security: Safeguard customer data rigorously. Comply with data protection regulations like GDPR or CCPA, and communicate your commitment to data privacy to enhance brand trust. Similar to the above, share any instances where personal data is handled by AI systems and the steps taken to make sure it remains confidential.

    5. Be prepared for a crisis: Even with the most watertight approval processes, some mistakes still slip through the net. This is no different when using AI. To safeguard the audience trust you’ve built, ensure you implement a plan to address potential AI-related crises, such as misinterpretations or mishandling of sensitive issues.

    Key takeaways

    There will always be AI risks if using it in customer-facing content, but this doesn’t mean your brand shouldn’t use it.

    To successfully integrate AI into your brand’s strategies while building brand equity, you should ensure all uses align with the brand’s values, messaging, and customer expectations.

    Have solid processes in place for everything from proofreading and fact-checking to keeping all customer data confidential. This way, you’ll be able to protect your brand awareness, associations, perceived quality, and, ultimately, your brand equity.

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Intro to Amazon Non-endemic Advertising: Benefits & Examples



Intro to Amazon Non-endemic Advertising: Benefits & Examples

Amazon has rewritten the rules of advertising with its move into non-endemic retail media advertising. Advertising on Amazon has traditionally focused on brands and products directly sold on the platform. However, a new trend is emerging – the rise of non-endemic advertising on this booming marketplace. In this article, we’ll dive into the concept of non-endemic ads, their significance, and the benefits they offer to advertisers. This strategic shift is opening the floodgates for advertisers in previously overlooked industries.

While endemic brands are those with direct competitors on the platform, non-endemic advertisers bring a diverse range of services to Amazon’s vast audience. The move toward non-endemic advertising signifies Amazon’s intention to leverage its extensive data and audience segments to benefit a broader spectrum of advertisers.

Endemic vs. Non-Endemic Advertising


Let’s start by breaking down the major differences between endemic advertising and non-endemic advertising… 

Endemic Advertising

Endemic advertising revolves around promoting products available on the Amazon platform. With this type of promotion, advertisers use retail media data to promote products that are sold at the retailer.

Non-Endemic Advertising

In contrast, non-endemic advertising ventures beyond the confines of products sold on Amazon. It encompasses industries such as insurance, finance, and services like lawn care. If a brand is offering a product or service that doesn’t fit under one of the categories that Amazon sells, it’s considered non-endemic. Advertisers selling products and services outside of Amazon and linking directly to their own site are utilizing Amazon’s DSP and their data/audience segments to target new and relevant customers.

7 Benefits of Running Non-Endemic Ad Campaigns


Running non-endemic ad campaigns on Amazon provides a wide variety of benefits like:

Access to Amazon’s Proprietary Data: Harnessing Amazon’s robust first-party data provides advertisers with valuable insights into consumer behavior and purchasing patterns. This data-driven approach enables more targeted and effective campaigns.

Increased Brand Awareness and Revenue Streams: Non-endemic advertising allows brands to extend their reach beyond their typical audience. By leveraging Amazon’s platform and data, advertisers can build brand awareness among users who may not have been exposed to their products or services otherwise. For non-endemic brands that meet specific criteria, there’s an opportunity to serve ads directly on the Amazon platform. This can lead to exposure to the millions of users shopping on Amazon daily, potentially opening up new revenue streams for these brands.

No Minimum Spend for Non-DSP Campaigns: Non-endemic advertisers can kickstart their advertising journey on Amazon without the burden of a minimum spend requirement, ensuring accessibility for a diverse range of brands.

Amazon DSP Capabilities: Leveraging the Amazon DSP (Demand-Side Platform) enhances campaign capabilities. It enables programmatic media buys, advanced audience targeting, and access to a variety of ad formats.

Connect with Primed-to-Purchase Customers: Amazon’s extensive customer base offers a unique opportunity for non-endemic advertisers to connect with customers actively seeking relevant products or services.

Enhanced Targeting and Audience Segmentation: Utilizing Amazon’s vast dataset, advertisers can create highly specific audience segments. This enhanced targeting helps advertisers reach relevant customers, resulting in increased website traffic, lead generation, and improved conversion rates.

Brand Defense – By utilizing these data segments and inventory, some brands are able to bid for placements where their possible competitors would otherwise be. This also gives brands a chance to be present when competitor brands may be on the same page helping conquest for competitors’ customers.

How to Start Running Non-Endemic Ads on Amazon


Ready to start running non-endemic ads on Amazon? Start with these essential steps:

Familiarize Yourself with Amazon Ads and DSP: Understand the capabilities of Amazon Ads and DSP, exploring their benefits and limitations to make informed decisions.

Look Into Amazon Performance Plus: Amazon Performance Plus is the ability to model your audiences based on user behavior from the Amazon Ad Tag. The process will then find lookalike amazon shoppers with a higher propensity for conversion.

“Amazon Performance Plus has the ability to be Amazon’s top performing ad product. With the machine learning behind the audience cohorts we are seeing incremental audiences converting on D2C websites and beating CPA goals by as much as 50%.” 

– Robert Avellino, VP of Retail Media Partnerships at Tinuiti


Understand Targeting Capabilities: Gain insights into the various targeting options available for Amazon ads, including behavioral, contextual, and demographic targeting.

Command Amazon’s Data: Utilize granular data to test and learn from campaign outcomes, optimizing strategies based on real-time insights for maximum effectiveness.

Work with an Agency: For those new to non-endemic advertising on Amazon, it’s essential to define clear goals and identify target audiences. Working with an agency can provide valuable guidance in navigating the nuances of non-endemic advertising. Understanding both the audience to be reached and the core audience for the brand sets the stage for a successful non-endemic advertising campaign.



Amazon’s venture into non-endemic advertising reshapes the advertising landscape, providing new opportunities for brands beyond the traditional ecommerce sphere. The  blend of non-endemic campaigns with Amazon’s extensive audience and data creates a cohesive option for advertisers seeking to diversify strategies and explore new revenue streams. As this trend evolves, staying informed about the latest features and possibilities within Amazon’s non-endemic advertising ecosystem is crucial for brands looking to stay ahead in the dynamic world of digital advertising.

We’ll continue to keep you updated on all things Amazon, but if you’re looking to learn more about advertising on the platform, check out our Amazon Services page or contact us today for more information.

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How Does Success of Your Business Depend on Choosing Type of Native Advertising?



How Does Success of Your Business Depend on Choosing Type of Native Advertising?

The very first commercial advertisement was shown on TV in 1941. It was only 10 seconds long and had an audience of 4,000 people. However, it became a strong trigger for rapid advertising development. The second half of the 20th century is known as the golden age of advertising until the Internet came to the forefront and entirely transformed the advertising landscape. The first commercial banner appeared in the mid-90s, then it was followed by pop-ups, pay-by-placement and paid-pay-click ads. Companies also started advertising their brands and adding their business logo designs, which contributes to consumer trust and trustworthiness.

The rise of social media in the mid-2000s opened a new dimension for advertising content to be integrated. The marketers were forced to make the ads less intrusive and more organic to attract younger users. This is how native advertising was born. This approach remains a perfect medium for goods and services promotion. Let’s see why and how native ads can become a win-win strategy for your business.

What is native advertising?

When it comes to digital marketing, every marketer talks about native advertising. What is the difference between traditional and native ones? You will not miss basic ads as they are typically promotional and gimmicky, while native advertising naturally blends into the content. The primary purpose of native ads is to create content that resonates with audience expectations and encourages users to perceive it seamlessly and harmoniously.

Simply put, native advertising is a paid media ad that organically aligns with the visual and operational features of the media format in which it appears. The concept is quite straightforward: while people just look through banner ads, they genuinely engage with native ads and read them. You may find a lot of native ads on Facebook, Twitter and Instagram – they appear in the form of “in-feed” posts that engage users in search for more stories, opinions, goods and services. This unobtrusive approach turns native ads into a powerful booster for any brand.

How does native advertising benefit your business?

An average Internet user comes across around 10,000 ads a day. But even physically, it is impossible to perceive this amount of information in 24 hours. So, most of them use adblockers, nullifying all efforts of markers. Native ads successfully overcome this digital challenge thanks to their authenticity. And this is not the only advantage of native advertising. How else does your business benefit? Here are just a few major benefits that prove the value of native ads:

Better brand awareness. Native ads contribute to the brand’s visibility. They seamlessly blend into educational, emotional, and visual types of content that can easily become viral. While promotional content typically receives limited shares, users readily share valuable or entertaining content. Consequently, while you incur expenses only for the display of native ads, your audience may go the extra mile by sharing your content and organically promoting your brand or SaaS product at no additional cost.

Increased click-through rates. Native ads can generate a thrilling click-through rate (CTR) primarily because they are meticulously content-adaptable. Thus, native ads become an integral part of the user’s journey without disrupting their browsing experience. Regardless of whether your native advertising campaign is designed to build an audience or drive specific actions, compelling content will always entice users to click through.

Cost-efficient campaign performance. Native advertising proves to be cheaper compared to a traditional ad format. It mainly stems from a higher CTR. Thanks to precise targeting and less customer resistance, native ads allow to bring down cost-per-click.

Native ads are continuously evolving, enabling marketers to experiment with different formats and use them for successful multi-channel campaigns and global reach.

Types of native advertising

Any content can become native advertising as there are no strict format restrictions. For example, it can be an article rating the best fitness applications, an equipment review, or a post by an influencer on a microblog. The same refers to the channels – native ads can be placed on regular websites and social media feeds. Still, some forms tend to be most frequently used.

  • In-feed ads. This type of ad appears within the content feed. You have definitely seen such posts on Facebook and Instagram or such videos on TikTok. They look like regular content but are tagged with an advertising label. The user sees these native ads when scrolling the feed on social media platforms.
  • Paid search ads. These are native ads that are displayed on the top and bottom of the search engine results page. They always match user’s queries and aim to capture their attention at the moment of a particular search and generate leads and conversions. This type of ad is effective for big search platforms with substantial traffic.
  • Recommendation widgets. These come in the form of either texts or images and can be found at the end of the page or on a website’s sidebar. Widgets offer related or intriguing content from either the same publisher or similar sources. This type of native ads is great for retargeting campaigns.
  • Sponsored content. This is one of the most popular types of native advertising. Within this format, an advertiser sponsors the creation of an article or content that aligns with the interests and values of the platform’s audience. They can be marked as “sponsored” or “recommended” to help users differentiate them from organic content.
  • Influencer Advertising. In this case, advertisers partner with popular bloggers or celebrities to gain the attention and trust of the audience. Influencers integrate a product, service, or event into their content or create custom content that matches their style and topic.

Each of these formats can bring stunning results if your native ads are relevant and provide value to users. Use a creative automation platform like Creatopy to design effective ads for your business.

How to create a workable native ad?

Consider these 5 steps for creating a successful native advertising campaign:

  • Define your target audienceUsers will always ignore all ads that are not relevant to them. Unwanted ads are frustrating and can even harm your brand. If you run a store for pets, make sure your ads show content that will be interesting for pet owners. Otherwise, the whole campaign will be undermined. Regular market research and data analysis will help you refine your audience and its demographics.
  • Set your goals. Each advertising campaign should have a clear-cut objective. Without well-defined goals, it is a waste of money. It is a must to know what you want to achieve – introduce your brand, boost sales or increase your audience.
  • Select the proper channels. Now, you need to determine how you will reach out to your customers. Consider displaying ads on social media platforms, targeting search engine result pages (SERPs), distributing paid articles, or utilizing in-ad units on different websites. You may even be able to get creative and use email or SMS in a less salesy and more “native”-feeling way—you can find samples of texts online to help give you ideas. Exploring demand side platforms (DSP) can also bring good results.
  • Offer compelling content. Do not underestimate the quality of the content for your native ads. Besides being expertly written, it must ideally match the style and language of the chosen channel,whether you’re promoting professional headshots, pet products, or anything else. The main distinctive feature of native advertising is that it should fit naturally within the natural content.
  • Track your campaign. After the launch of native ads, it is crucial to monitor the progress, evaluating the costs spent and results. Use tools that help you gain insights beyond standard KPIs like CTR and CPC. You should get engagement metrics, customer data, campaign data, and third-party activity data for further campaign management.

Key takeaway

Summing up the above, it is time to embrace native advertising if you haven’t done it yet. Native ads seamlessly blend with organic content across various platforms, yielding superior engagement and conversion rates compared to traditional display ads. Marketers are allocating higher budgets to native ads because this format proves to be more and more effective – content that adds value can successfully deal with ad fatigue. Native advertising is experiencing a surge in popularity, and it is to reach its peak. So, do not miss a chance to grow your business with the power of native ads.or you can do digital marketing course from Digital Vidya.

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OpenAI’s Drama Should Teach Marketers These 2 Lessons



OpenAI’s Drama Should Teach Marketers These 2 Lessons

A week or so ago, the extraordinary drama happening at OpenAI filled news feeds.

No need to get into all the saga’s details, as every publication seems to have covered it. We’re just waiting for someone to put together a video montage scored to the Game of Thrones music.

But as Sam Altman takes back the reigns of the company he helped to found, the existing board begins to disintegrate before your very eyes, and everyone agrees something spooked everybody, a question arises: Should you care?

Does OpenAI’s drama have any demonstrable implications for marketers integrating generative AI into their marketing strategies?

Watch CMI’s chief strategy advisor Robert Rose explain (and give a shoutout to Sutton’s pants rage on The Real Housewives of Beverly Hills), or keep reading his thoughts:

For those who spent last week figuring out what to put on your holiday table and missed every AI headline, here’s a brief version of what happened. OpenAI – the huge startup and creator of ChatGPT – went through dramatic events. Its board fired the mercurial CEO Sam Altman. Then, the 38-year-old entrepreneur accepted a job at Microsoft but returned to OpenAI a day later.

We won’t give a hot take on what it means for the startup world, board governance, or the tension between AI safety and Silicon Valley capitalism. Rather, we see some interesting things for marketers to put into perspective about how AI should fit into your overall content and marketing plans in the new year.

Robert highlights two takeaways from the OpenAI debacle – a drama that has yet to reach its final chapter: 1. The right structure and governance matters, and 2. Big platforms don’t become antifragile just because they’re big.

Let’s have Robert explain.

The right structure and governance matters

OpenAI’s structure may be key to the drama. OpenAI has a bizarre corporate governance framework. The board of directors controls a nonprofit called OpenAI. That nonprofit created a capped for-profit subsidiary – OpenAI GP LLC. The majority owner of that for-profit is OpenAI Global LLC, another for-profit company. The nonprofit works for the benefit of the world with a for-profit arm.

That seems like an earnest approach, given AI tech’s big and disruptive power. But it provides so many weird governance issues, including that the nonprofit board, which controls everything, has no duty to maximize profit. What could go wrong?

That’s why marketers should know more about the organizations behind the generative AI tools they use or are considering.

First, know your providers of generative AI software and services are all exploring the topics of governance and safety. Microsoft, Google, Anthropic, and others won’t have their internal debates erupt in public fireworks. Still, governance and management of safety over profits remains a big topic for them. You should be aware of how they approach those topics as you license solutions from them.

Second, recognize the productive use of generative AI is a content strategy and governance challenge, not a technology challenge. If you don’t solve the governance and cross-functional uses of the generative AI platforms you buy, you will run into big problems with its cross-functional, cross-siloed use. 

Big platforms do not become antifragile just because they’re big

Nicholas Taleb wrote a wonderful book, Antifragile: Things That Gain From Disorder. It explores how an antifragile structure doesn’t just withstand a shock; it actually improves because of a disruption or shock. It doesn’t just survive a big disruptive event; it gets stronger because of it.

It’s hard to imagine a company the size and scale of OpenAI could self-correct or even disappear tomorrow. But it can and does happen. And unfortunately, too many businesses build their strategies on that rented land.

In OpenAI’s recent case, the for-profit software won the day. But make no bones about that victory; the event wasn’t good for the company. If it bounces back, it won’t be stronger because of the debacle.

With that win on the for-profit side, hundreds, if not thousands, of generative AI startups breathed an audible sigh of relief. But a few moments later, they screamed “pivot” (in their best imitation of Ross from Friends instructing Chandler and Rachel to move a couch.)

They now realize the fragility of their software because it relies on OpenAI’s existence or willingness to provide the software. Imagine what could have happened if the OpenAI board had won their fight and, in the name of safety, simply killed any paid access to the API or the ability to build business models on top of it.

The last two weeks have done nothing to clear the already muddy waters encountered by companies and their plans to integrate generative AI solutions. Going forward, though, think about the issues when acquiring new generative AI software. Ask about how the vendor’s infrastructure is housed and identify the risks involved. And, if OpenAI expands its enterprise capabilities, consider the implications. What extra features will the off-the-shelf solutions provide? Do you need them? Will OpenAI become the Microsoft Office of your AI infrastructure?

Why you should care

With the voluminous media coverage of Open AI’s drama, you likely will see pushback on generative AI. In my social feeds, many marketers say they’re tired of the corporate soap opera that is irrelevant to their work.

They are half right. What Sam said and how Ilya responded, heart emojis, and how much the Twitch guy got for three days of work are fodder for the Netflix series sure to emerge. (Robert’s money is on Michael Cera starring.)

They’re wrong about its relevance to marketing. They must be experiencing attentional bias – paying more attention to some elements of the big event and ignoring others. OpenAI’s struggle is entertaining, no doubt. You’re glued to the drama. But understanding what happened with the events directly relates to your ability to manage similar ones successfully. That’s the part you need to get right.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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