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Which AI Chatbot is Better for Automating Marketing Tasks?

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Which AI Chatbot is Better for Automating Marketing Tasks?

Artificial intelligence has undergone remarkable changes in recent years. Businesses are using AI integration increasingly to automate their business processes and other relevant tasks. With ChatGPT and Bard being the leading AI platforms in 2023, it has become challenging to differentiate the characteristics and output they can provide to a business model. Thus, deciding on the right AI chatbot for automating your marketing agendas can feel like a daunting task.

Instead of doing a full comparison of ChatGPT vs Bard, this article will focus on highlighting their abilities in automating various marketing tasks such as content writing, email crafting, data analysis, and beyond.

Note: We have compared ChatGPT 3.5 with Google Bard’s version with all the latest information available in October 2023.

Key Takeaways

  • ChatGPT and Google Bard are two powerful AI chatbots that can automate various marketing tasks such as content writing, email crafting, data analysis, and social media planning.
  • ChatGPT is better at generating creative content and writing professional emails, while Google Bard excels in research tasks and providing human-like responses.
  • Both chatbots have their strengths and weaknesses in different marketing tasks, so the choice between them depends on the specific needs of your business.
  • It’s important to carefully evaluate your requirements before deciding which chatbot is the best fit for automating your marketing tasks.

Difference in Technology of ChatGPT and Google Bard

ChatGPT and Google Bard use different tech. OpenAI made ChatGPT can provide information on a number of things. However, it is not as good as Bard when it comes to answering certain questions. On the other hand, Google created Bard, an AI bot which relies on information from Google Search and processes information better than ChatGPT.

The difference between these bots lies in their codes. Each of these AI platforms use a different approach to provide output for the prompts and help us with tasks. However, the major difference between Google Bard and ChatGPT is; Bard provides human-like responses and has more relevant and current information. Whereas, ChatGPT is good with processing texts and is effective when it comes to data summarization and other related tasks. Reason for Bard being relevant and updated is due to its ability to fetch real-time data from Google’s search engine. Mentioned below are the potential differences between ChatGPT and Google Bard:

Elements

ChatGPT

Google Bard

Data Extraction As of today, ChatGPT employs a data model which was last updated in 2021 on the free version. Bard uses current information which is extracted from current data available over the internet.
Language Models Employs a GPT 3.5 and GPT-4 model Uses the LaMDA model.

Automating Marketing Tasks: ChatGPT vs Google Bard

Businesses currently employ AI tools like ChatGPT and Google Bard to help with many marketing tasks. With the help of AI integration, businesses are able to write content, edit it, and even send emails whenever necessary. Both the models can analyse a given set of data and further process it to create a meaningful outcome. Ability to understand and comprehend a given set of data is crucial when you need to know what the numbers mean for your business.

In terms of research, ChatGPT provides better results when compared to Bard as ChatGPT can analyse and highlight the important facts and key aspects quicker. Bard, on the other hand, has the ability to curate responses which are more appealing for the human counterpart. Bard provides the user with a current and updated version of information which is crucial for the functioning of a business.

Businesses can benefit from both of the AI platforms when it comes to making an outline for a social media campaign. Both of the AI platforms can help with curating quality content for social media campaigns, however the process differs for each platform. Based on their design features, each one comes up with novel ideas suited to your brand’s image.

As stated earlier, Google Bard generates responses which sound human. Thus, when it comes to preparing email campaigns, Bard is more efficient when compared to ChatGPT. Bard can help with content for email which is updated following the current trends of the market which is crucial when it comes to email campaigns.

Here is a summary of the comparison and who won it:

Content Writing

Each of the models work well with prompts you provide in regards to your business agendas. However, there are certain strengths and weaknesses of each of the models which have been highlighted in the section below:

Parameters

Google Bard

ChatGPT

Strengths
  • Better at summarising complex content
  • Better at generating content in a readable format
  • Better at accessing and incorporating up-to-date information
  • Better at generating creative text formats
  • Better at paraphrasing and summarising
  • Better at generating formulas for Google Sheets

Weaknesses

  • Can be less creative than ChatGPT
  • Can be less fluent in its responses than ChatGPT
  • Does not have direct API access
  • Does not have access to the internet in real-time, so its information may be outdated
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins

ChatGPT and Bard are both great tools for content writing. They can write short pieces like product descriptions or social media captions. Even email newsletters and FAQs are no match for them. However, as we need a more creative approach for writing, ChatGPT wins in Content Writing.

Content Editing

Content editing is an essential task in marketing, and both ChatGPT and Google Bard can assist with automating this process. They can help to proofread and improve existing content by suggesting edits, checking for grammar errors, and enhancing clarity.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at identifying and correcting grammatical errors
  • Better at improving the clarity and conciseness of writing
  • Better at suggesting relevant and up-to-date information
  • Better at generating creative suggestions
  • Better at paraphrasing and summarising text
  • Better at suggesting formulas for Google Sheets
Weaknesses
  • Can be less fluent in its suggestions than ChatGPT
  • Does not have direct API access
  • Does not have access to the internet in real-time, so its suggestions may be outdated
  • Can be more difficult to use due to its limited user interface

With ChatGPT’s efficiency in generating text requests and summarising information, it becomes an effective tool for content editing tasks. Additionally, Google Bard also offers reliable support in refining the quality of written material.

As most content editors have to proofread the content, before publishing and presenting content in a better way, Google Bard seems like a better tool for this task.

Email Writing

ChatGPT and Google Bard can both be used to automate email writing tasks in marketing. ChatGPT is particularly useful when it comes to crafting personalised and engaging emails, as it excels at generating creative content and coming up with unique ideas.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at writing emails in a professional and concise tone
  • Better at generating emails that are tailored to the specific recipient
  • Better at incorporating relevant and up-to-date information into emails
  • Better at writing emails in a creative and engaging tone
  • Better at generating emails that are likely to be opened and read
  • Better at suggesting personalised email content
Weaknesses
  • Can be less fluent in its writing style than ChatGPT
  • Does not have direct API access
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins

Google Bard, on the other hand, is better suited for automating the process of writing generic or templated emails that require minimal customization. With its ability to execute repetitive tasks efficiently, Bard can help save time in composing standard emails or responses.

But as you need engaging writing for emails, ChatGPT gets a point here.

Data Analysis

ChatGPT and Google Bard differ in their capabilities when it comes to data analysis for automating marketing tasks. ChatGPT is commonly used for data analysis, but both AI chatbots have different strengths and weaknesses in this aspect.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at understanding and summarising complex datasets
  • Better at identifying trends and patterns in data
  • Better at generating insights from data
  • Better at generating creative hypotheses and explanations
  • Better at communicating complex data analysis findings in a clear and concise way
  • Better at generating code for data analysis tasks

Weaknesses

  • Can be less creative than ChatGPT
  • Can be less fluent in its explanations than ChatGPT
  • Does not have direct API access to data analysis tools
  • Does not have access to the internet in real-time, so its insights may be outdated
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins for data analysis tools

They both offer unique ways of providing relevant information and generating creative content, including data analysis.However, as ChatGPT provides API and can be integrated with third party analysis app, this point goes to ChatGPT. Moreover, the focus of Data Analysis is to communicate complex data in a clear way, which ChatGPT does better here.

Research

Both ChatGPT and Google Bard can assist with research tasks in marketing automation. ChatGPT’s strong text processing capabilities make it useful for conducting general online research, gathering information, and providing relevant responses.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at accessing and processing information from the real world through Google Search
  • Better at generating summaries of complex research papers and other documents
  • Better at identifying relevant and up-to-date information
  • Better at generating creative hypotheses and explanations
  • Better at communicating complex research findings in a clear and concise way
  • Better at generating code for research tasks

Weaknesses

  • Can be less creative than ChatGPT
  • Can be less fluent in its explanations than ChatGPT
  • Does not have direct API access to research tools
  • Does not have access to the internet in real-time, so its information may be outdated
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins for research tools

Google Bard is designed specifically for research purposes and has access to real-time information, giving it an advantage in accuracy when providing answers. With its ability to analyse vast amounts of data quickly, Bard can gather insights and generate reports efficiently.

Hence, Google Bard wins here.

Summarising Texts

ChatGPT and Google Bard are both capable of generating text summaries efficiently. They can handle complex data and condense it into concise summaries. ChatGPT is particularly good at creating creative and informative content, paraphrasing, and summarising text requests.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at summarising complex texts
  • Better at generating summaries that are tailored to the specific audience
  • Better at incorporating relevant and up-to-date information into summaries
  • Better at generating creative and engaging summaries
  • Better at generating summaries that are likely to be read and remembered
  • Better at suggesting personalised summaries

Weaknesses

  • Can be less creative than ChatGPT
  • Can be less fluent in its writing style than ChatGPT
  • Does not have direct API access
  • Does not have access to the internet in real-time, so its information may be outdated
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins

On the other hand, Bard excels at answering questions with relevant information.

Both AI chatbots offer valuable features for automating marketing tasks related to summarization. Hence, we can safely say this one is a tie.

Social Media Content

Both AI chatbots, ChatGPT and Google Bard can be incredibly helpful in automating social media planning for businesses. These advanced technologies have the ability to analyse data, research trends, and summarise information, which are all essential components of effective social media strategies.

Parameters

Google Bard

ChatGPT

Strengths

  • Better at accessing and processing information from the real world through Google Search
  • Better at generating insights from data
  • Better at identifying trends and patterns in social media data
  • Better at generating creative and engaging content
  • Better at communicating complex ideas in a clear and concise way
  • Better at generating code for social media automation tasks

Weaknesses

  • Can be less creative than ChatGPT
  • Can be less fluent in its writing style than ChatGPT
  • Does not have direct API access to social media planning tools
  • Does not have access to the internet in real-time, so its insights may be outdated
  • Can be more difficult to use due to its limited user interface
  • Does not have plug-ins for social media planning tools

With AI chatbots, companies can save time and effort by letting them handle tasks such as scheduling posts, creating content calendars, and even writing engaging captions. By utilising these chatbots for social media planning, businesses can streamline their processes and ensure a consistent online presence without much manual intervention.

Social media posts needs both – creative content and fresh content. Although ChatGPT is more creative than Google Bard, as of now, it does not have access to real time data. Google Bard can access fresh content from the internet and provide you better social media content along with trending hashtags.

Hence, Google Bard wins here.  

Best of ChatGPT and Google Bard in each Marketing Task

We will now be comparing ChatGPT and Google Bard in terms of their efficacy in marketing tasks. The comparison is provided in the table below.

Marketing Tasks

ChatGPT

Google Bard

Content Writing Efficient at generating creative content. Can write human-like responses.
Content Editing Capable of grammar check and basic content editing. Proofreads content and great at presenting it better when given prompts.
Email Writing Capable of writing professional emails. Can handle email writing with a more personal touch.
Data Analysis Good at Data Analysis when integrated with external apps. Can surface relevant data from Google Search but limited analysis possible.
Research Can generate summary of research requests. Primarily built for research purposes including surfacing relevant information from Google Search.
Summarise Excels at summarising text requests. Excels at summarising text requests.
Social Media Planning Can generate creative content for social media. Can provide current, relevant information for social media posts.

This table makes it clear that both AI systems have their strengths and weaknesses when it comes to handling various marketing tasks, making the selection between ChatGPT and Google Bard based on the specific needs of the task at hand.

When it comes to automating marketing tasks, ChatGPT and Bard each have their strengths. While ChatGPT is better at writing content and email messages, Bard excels in research and summarization.

Thus, choosing between these two platforms depends on the specific marketing tasks you need to automate. It’s important to evaluate your requirements carefully before deciding which AI chatbot is the best fit for your needs.

FAQs

1. What is the difference between ChatGPT and Bard?

ChatGPT and Bard are both AI chatbots, but they differ in terms of their training data and capabilities. ChatGPT is trained on a wide range of internet text, while Bard is specifically trained on books, stories, and plays.

2. Which AI chatbot is better for automating marketing tasks?

Both ChatGPT and Bard can be used for automating marketing tasks, but it depends on the specific needs of your business. ChatGPT may be more suitable for general customer interactions, while Bard’s literary knowledge may be helpful for creative copywriting.

3. Can these chatbots handle complex marketing strategies?

Yes, both ChatGPT and Bard have the potential to handle complex marketing strategies as they can generate human-like responses based on their training data. However, it’s important to fine-tune them according to your specific requirements.

4. Are there any limitations to using these AI chatbots for marketing tasks?

While advanced AI chatbots like ChatGPT and Bard have made significant progress in natural language understanding, they still have limitations such as occasional generation of incorrect or nonsensical responses that need human supervision.

5. How do I choose between ChatGPT and Bard for my marketing automation needs?

To choose between ChatGPT and Bard for your marketing automation needs, consider factors like the type of content you want generated (general or literary), target audience preferences, integration capabilities with existing systems/platforms, cost considerations etc.,

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Intro to Amazon Non-endemic Advertising: Benefits & Examples

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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.

Conclusion

 

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?

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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

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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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