Connect with us

MARKETING

How Social Media Can Supercharge Your SEO

Published

on

How Social Media Can Supercharge Your SEO

When working in social media, it can feel like you exist worlds away from SEO. And as an SEO, social media may feel like something that isn’t quite relevant in your day to day. But as with all things marketing, both of these digital marketing tactics have the potential to boost collective success. As a Social Media Manager, I’m here to tell you how you as an SEO can collaborate with your social media team in order to help supercharge your SEO efforts.

What is a social media strategy?

A social media strategy is a document that outlines your organization’s social media goals, along with how you will achieve them, both through top-level strategy and on-the-ground tactics (i.e., what you actually do). A strategy is the foundation of how your organization approaches being on social media.

Social media vs. search engine optimization

Social media involves owning accounts and having an active presence on social media channels like Twitter, Instagram, Facebook, LinkedIn, TikTok, and YouTube, with the goal of driving brand awareness and engagement, or increasing traffic and conversions. On the other hand, search engine optimization (SEO) is a set of practices designed to improve the appearance and positioning of web pages in organic search results, resulting in increased website traffic and exposure to your brand.

Do links from social media improve your SEO?

Links from popular social media platforms such as Facebook are “no-follow” links, meaning they do not send link authority directly to your site. PageRank is Google’s algorithm that ranks web pages based on the quantity and quality of external backlinks. However, gaining no-follow links from high-quality domains is still extremely important.

In the past, marketers ignored “no-follow” links, as they did not have any impact on organic ranking, but the “no-follow” attribute isn’t completely useless. A well-balanced backlink profile consisting of both followed, and no-followed links will appear more natural to Google and other search engines.

Advertisement

Another benefit of “no-follow” links is the referral traffic that they can provide. Although search engines will not follow links with the attached HTML “no-follow” attribute, users can click them to reach your site, giving you more traffic!

While no-follow links do not provide the same boost to your site’s backlink profile as followed links, Google still likes to see them as a part of your site’s backlink profile, and they offer a valuable source of referral traffic.

The SEO benefits of increased brand awareness

The primary SEO benefit of brand awareness that your social media strategy can drive is the boost you can see in “branded” organic search volume and clicks.

Not every user encountering your brand on their Instagram or TikTok feed will click through to your site — in fact, most won’t. Most people will mentally file away your brand name and products only to perform a Google search for your company name or products after the fact, i.e. a branded search. This is especially true if your social messaging is solid and memorable.

For many sites, especially newer ones, a branded search can represent a large portion of your organic traffic.

5 ways social media can improve your SEO

There are five ways that a robust social media presence can help improve your SEO:

Advertisement

Amplify website content through social channels to reach new audiences

Your website content may be great, but you need to drive eyes to it somehow! Sharing your content, like blogs or guides, on social media is a win-win-win:

  • You’re building positive brand sentiment by providing content that answers people’s questions.

  • You’re driving more users to your website.

  • The positive response toward your content on social media sends signals to the social algorithms and therefore often shows it to new people.

One way we do this at Moz is with this very blog! Anything the Moz Blog publishes is promoted on our social media channels, which not only drives traffic but puts valuable content right in front of our audience for them to get immediate insights from.

Create and share infographics in social posts and blog articles

In my experience, people love nothing more on social media than a classic infographic. Sharing information in bite-sized, colorful, and visually appealing ways will result in shares, engagement, and traffic to your website. Plus, they’re versatile — include them in your blogs, and you can use them on your social media posts! Every Whiteboard Friday episode that we publish here at Moz gets its own accompanying infographic. This is a great way to resurface a well-loved episode, and give people more value up front.

1685632260 394 How Social Media Can Supercharge Your SEO

Build relationships with customers

One of the core tenets of social media is that it’s a two-way street. As you get started, you as a brand need to provide valuable content to your audience without asking them for anything in return. Once you’ve cultivated goodwill with your audience, you now have a relationship in which you provide value, build that favorable currency, and then you’re able to cash in on it in exchange for traffic or follow-throughs on your CTAs.

While our social media philosophy is that everything we put on social media has some form of value to our audience, we also make it a point to create content that doesn’t explicitly ask for anything, like clicking links or purchasing our product. Sometimes that’s providing them with information, and sometimes that can look like making them laugh.

1685632260 773 How Social Media Can Supercharge Your SEO

Optimize your profiles on social channels and lead audiences toward your website

A simple but effective way to lead audiences to your website is to make it easy to get to! Ensure you optimize your social channels and keep a link to your website in each profile. If you need to house multiple links, use a “link in bio” service, but always make sure a quick shortcut to your website stays front and center.

This strategy is something we use on our Instagram. Instead of constantly changing the link based on what we’re promoting that day or just wasting the opportunity the link in bio provides, we have a link in bio tool through Sprout Social that lets us showcase all the links that are tied to each of our posts.

1685632260 410 How Social Media Can Supercharge Your SEO

Target users who are more likely to convert to your site. Conversion and engagement metrics are great for SEO!

With social media, you should always know who you’re trying to reach and how you’re going to do so. One audience you should target on social media is people you know are ready to convert. Have different posts for different audiences as a part of your content mix, and include more mature leads further down the funnel. These become easy wins because they convert and engage once they hit the website, which is helpful for SEO metrics.

We know that the majority of people are coming to Moz for beginner SEO education, so we make it a point to really highlight those resources, such as our Beginner’s Guide to SEO or our How to Rank Checklist, knowing they will always see a lot of traffic and engagement.

Advertisement
1685632261 762 How Social Media Can Supercharge Your SEO

Build relationships between your social media and SEO teams

A strong relationship between your social media and SEO teams is crucial. You can trade information about high-performing topics that can inform strategy on both sides or allow you to make reactive changes to your tactics based on opportunities. Schedule a monthly one-on-one with your respective counterpart in your organization to connect and fill each other in on pertinent information.

With this information, you’re now armed to go out and make this happen for yourself! Take this as an opportunity to connect with your social media team and find new and innovative ways to collaborate and drive results for both social media and SEO.



Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

What’s Media Mix Modeling? [Marketer’s Guide with Examples]

Published

on

What’s Media Mix Modeling? [Marketer’s Guide with Examples]

Privacy


By Emily Sullivan

Have you ever felt in the dark when it comes to understanding the real impact your marketing dollars are having across multiple channels? 

Determining where and how conversions are occurring is crucial in optimizing your budget to drive the most impact with your marketing budget. Media mix modeling (MMM) is an analytical approach used to gauge the effectiveness of various marketing channels in driving sales and conversions. This method allows us to decipher the true influence of advertising spend across diverse platforms by accounting for a myriad of factors, both within their control (like media channel spend, promotional strategies) and outside their control (such as economic conditions, competitor actions, and seasonal influences).

Advertisement

One of the key strengths of media mix modeling is its ability to incorporate long-term brand building effects alongside immediate sales impacts, offering a comprehensive view of marketing effectiveness. It helps in identifying which channels are most efficient, how different channels influence each other, and how external factors affect marketing performance.

Media mix modeling is a powerful tool for marketers seeking to optimize their marketing investments. By providing a holistic view of how various factors contribute to sales and conversions, MMM enables data-driven decisions that enhance marketing efficiency and business growth.

In this article, we explore how media mix modeling works, and how businesses can use analytics to drive smarter ad spend decisions.

What Is Media Mix Modeling?

Media mix modeling (MMM) is a type of analysis that measures the impact of media buys across multiple channels, showing the role various elements play in achieving a desired outcome—often a conversion or revenue KPI. With this information, marketing stakeholders are able to make specific adjustments to campaign spend to improve their progress toward reaching a given goal.

Media mix modeling can be used to address common brand marketing questions and pain points, including:

  • Which of our marketing efforts are having the biggest impact on reaching our goals—or, more simply—what’s working?
  • How big of an impact does seasonality have on our marketing performance?
  • How closely is our performance tied to promotional efforts? 
  • Are shifting consumer trends negatively or positively impacting outcomes?
  • Which specific mix of spend allocation drives the highest ROI?
  • How will these channels likely perform in the future based on their optimized spend allocation?

“Media mix modeling is a top-down , privacy resilient approach that evaluates how historical media activity, promotions, pricing, seasonality, and uncontrollable factors—such as economic activity—impact key business outcomes such as sales revenue. MMM is a scientific approach to attribution in the sense that it applies statistical methods to analyze and interpret marketing data, providing a systematic understanding of how different marketing channels contribute to overall business goals in the broader context of the market. The quality of insights derived from MMM heavily depends on the quality and granularity of the data used.”

— Annica Nesty, Group Director of Marketing Science at Tinuiti

Advertisement

MMM leverages aggregate data, and can measure both online (digital) and offline (traditional) advertising channel performance, including (but not limited to): paid media channels such as social media channels, traditional print advertising, linear TV advertising, and other performance marketing efforts, organic media, operational factors like promotions, external factors like seasonality, economic conditions, outcome KPIs such as sales revenue, new customers, and conversions. 

How Does Media Mix Modeling Work?

The MMM framework is a type of statistical analysis that uses statistical methods and econometric models such as a regression analysis. This econometric model helps analysts determine the strength of relationships between a single dependent variable and an array of independent variables.

Media mix modeling analysis measures the impact of your media spend today, and is also helpful in predicting the future outcome of your marketing investments on a given variable.

Example:

Let’s assume a scenario where our target metric, or dependent variable, is revenue, a critical indicator of business success. We aim to dissect the influence of various marketing initiatives on this revenue. These initiatives, our independent variables, encompass a diverse array of digital advertising campaigns, including those run on TikTok, Instagram, Snapchat, as well as broader Display and Streaming platforms.

The number of independent variables under scrutiny does not dilute our core objective. The mission is to measure the relationship between the marketing endeavors and the revenue they generate. This involves not only identifying the direct contributions of each campaign to revenue but also understanding the nuanced interplay between them by observing how changing aspects of those independent variables impacts the chosen business outcome

Advertisement

What can MMM Measure?

When using MMM to assess campaign success, marketers should leverage statistical methods and econometric models to get the most accurate picture possible. Data quality is essential in achieving an accurate media mix analysis, so take any needed time to clean your data before using it in your analysis. 

Key elements an MMM equation can measure include:

  • Base and incremental sales volume impact
  • Channel effectiveness and return on investment
  • Marketing spend saturation

Media Mix Modeling vs. Data-Driven Attribution Modeling

Like media mix modeling, attribution modeling also studies the efficiency of marketing strategies — but there are important differences.

Attribution modeling is a general term that refers to tracking engagement to better understand how specific tactics drive action at the user level. This modeling works well for analyzing specific customer touchpoints, focusing on elements like how a consumer converted, which creative on which channel led to that conversion, and what the expected ROI could be if more ad budget were shifted to that channel. 

Media mix modeling takes a higher-level, more comprehensive picture. This modeling isn’t designed to measure user-level engagement like impressions and clicks, rather its primary function is measuring the impact of an entire touchpoint on specific marketing objectives. 

Data-driven attribution modeling and MMM each have their own set of strengths. It’s not a matter of one being better than the other, rather one being better-suited to different types of marketing analysis. 

For example:

Advertisement
  • The precision of the data-driven attribution: Let’s assume you want to invest more spend in a social ad campaign during the holiday season. While MMM is an option for determining where to allocate those dollars, data-driven attribution excels in dissecting the intricate customer journey, offering a microscopic view of user interactions. For instance, if you’re keen on understanding the exact value of a single click from your social media campaign, Data-Driven Attribution can illuminate the path. 
  • The holistic perspective of the media mix modeling:  Media mix modeling, can consider the impact of offline actions and initiatives. Unlike the more narrowly focused attribution models, which might overemphasize the first or last touchpoint, MMM assesses the collective impact of all channels over time. This makes it an indispensable tool for strategic planning and long-term investment decisions in your marketing portfolio.

“Attribution modeling is based on a bottom-up approach while media mix modeling takes a top-down approach. Media mix modeling provides a long-term view of the marketing ROI of media activity, while attribution modeling evaluates individual-level activity to provide a short term view of marketing ROI.” 

— Annica Nesty, Group Director of Marketing Science at Tinuiti

Why Does MMM Make Sense for a Post-cookie/Post-IDFA World?

In the post-cookie and post-IDFA landscape, where privacy concerns and regulatory changes limit access to individual user-level data, media mix modeling has become a pivotal analytical tool. MMM’s emphasis on overall marketing spend allocation and its proficiency in establishing cause-and-effect models, address the challenges posed by the diminishing availability of explicit conversion information, providing marketers with a privacy-respecting and insightful approach to navigate the evolving digital advertising ecosystem.

An Example of Media Mix Modeling

With the right media mix model, a business can measure their past marketing performance to improve future ROI by optimizing the allocation of the media budget by channel and/or tactic, including: traditional and digital media channels, promotions, pricing, competitor spend, economic conditions, weather, and more.

Example:

An international ecommerce brand wanted to forecast their second-half of the year and create an optimal media mix to make their marketing dollars work smarter. A combination of client data, marketing data, and machine learning were required to create a powerful, custom media mix model. 

To build the model, the business used 2+ years of digital marketing and revenue data, analyzing it by market, tactic, and day. The data was then used to create model to assess future spend showing how changes in investment across channels could impact revenue and sales.

Advertisement
media mix modeling

The full digital media mix model gave the ecommerce brand a detailed analysis of where to optimize their spend across all digital marketing channels. 

One recommendation was to shift dollars away from social—which historically had been at or near 30%—to paid search. This recommendation came with another layer of insight: The brand realized they were overinvesting in awareness campaigns, and needed to invest more heavily in capturing current demand during the 2nd half of the year.

Results: Working with a robust media mix model, the brand was able to break down how much media spend was needed by each channel in order to achieve the 30% YoY revenue goal they targeted. 

The Benefits & Challenges of Media Mix Modeling

MMM helps you accurately connect all the dots, leveraging (ideally) a wealth of provided data, to understand how disparate aspects of marketing campaigns work together in helping you reach your business goals. 

Benefits of Media Mix Modeling

The benefits of MMM are multifaceted, offering marketers a strategic edge in navigating the intricacies of their advertising efforts. Let’s dive into each benefit in detail… 

Omnichannel Campaigns: MMM excels in providing insights for omnichannel campaigns, allowing marketers to understand and optimize the impact of their initiatives across various channels. This capability is crucial in today’s interconnected digital landscape, where consumers engage with brands through diverse platforms.

Improved Oversight Over Media Spend Impact: MMM provides a comprehensive view of the impact of media spend, enabling marketers to assess the effectiveness of their investments. This improved oversight ensures a clearer understanding of how each component of the media mix contributes to overall campaign success.

Advertisement

Media Spend Optimization: With MMM, marketers can optimize their media spend by identifying the most impactful channels and touchpoints. This data-driven approach allows for strategic adjustments in budget allocation, ensuring that resources are directed towards the avenues that yield the highest return on ad spend.

Effective Targeting of Audiences: MMM’s analysis helps in refining audience targeting strategies. By understanding which elements of the marketing mix resonate most with specific demographics, marketers can tailor their campaigns to effectively reach and engage their target audience segments.

Forecasting with Certainty: One of MMM’s strengths lies in its ability to forecast results with a high degree of certainty. This forecasting capability empowers marketers to make informed decisions based on predictive analytics, aiding in long-term planning and goal setting.

Reduced Reliance on Personally Identifiable Information (PII): MMM minimizes the reliance on personally identifiable information for analysis. This is especially crucial in an era where privacy concerns are more important than ever. 

Media mix modeling is a comprehensive and powerful tool, offering a range of benefits that contribute to a more effective, data-driven, and privacy-conscious approach to marketing strategy and decision-making. While there are many benefits to MMM, there are challenges as well. Let’s look into common challenges of MMM in our next section.

Challenges of Media Mix Modeling

MMM grows increasingly complex as the media landscape becomes more fragmented, and the customer journey more personalized. Whereas in the past, advertisers may have wanted to measure something as simple as the impact of a print ad in a Cleveland newspaper, today’s consumers are exposed to brands in a wide variety of locations and formats, from a subway transit poster to a Sponsored post on Instagram.

Advertisement

Working with high-quality data is important in any measurement initiative, but for MMM to work effectively, it also needs a lot of data to build a reliable model. For example, if you wanted your model to consider the performance impact of seasonality, it would ideally need at least three full seasons (three years) of data to consider in its analysis.

This makes media mix modeling a ‘long game’ initiative with infrequent reporting by its nature. Brands and advertisers who are more accustomed to daily or weekly updates may struggle with ‘waiting out’ the analysis.

Because it’s not designed to make considerations based on user-level data, instead providing aggregate insights, media mix modeling offers limited insights on brand impact, personalized targeting, and customer experience. However, advanced models are available that can provide highly granular insights, but traditional MMM provides aggregate insights.

Common Misconceptions About Media Mix Modeling

Media mix modeling, like many other analytics solutions, has also become a marketing buzzword that has generated its fair share of misconceptions.

Here are a few of the most common misconceptions around media mix modeling.

Media Mix Models Are Not Transparent

With large datasets and statistical analysis involved in media mix modeling, the methods behind the technique have been critiqued for their obscurity. If there is no perceived transparency in the process, how does a brand know if its media mix model is really accurate?

Advertisement

Any organization specializing in media mix modeling should provide a transparent approach, with deliverables such as outlines, milestones, and performance reports. Additionally, you may want to consider partnering with an agency that truly understands how media mix modeling aligns with your needs and expectations. Every business is unique and each media mix model is based on multiple factors.

Media Mix Models Do Not Provide Real-time Data

Today, results are often measured by the timeliness of their delivery, with the current digital marketplace allowing for almost instantaneous real-time data. Media mix models do actually provide compelling real-time marketing insights, perfect for evaluating new campaigns, new competitors, and assessing pricing actions or changes in promotional strategies. 

A powerful partner in media mix modeling will provide sophisticated tools and real-time approaches to satisfy your business performance assessments. Your partner should also be able to provide forecasting, simulation, or AI- and machine-learning-integrated models to suggest future movements. 

Media Mix Modeling is Biased to Offline Channels

Though media mix strategies do integrate and consider offline channels in their approaches, media mix modeling also considers all digital channels — including display, email, paid search, social, and more. Remember—it’s considering your media mix. If that includes ten different channels and you provide enough high-quality data for each, they will all be considered in your marketing mix analysis. 

In fact, as customers have become more intertwined with digital channels, media marketing models have adapted to go even deeper into the analyses provided by those channels’ respective insights to support better budgeting choices and customer segmentation reports. 

Conclusion: MMM Closes the Loop on Marketing Performance

In an ever-evolving digital landscape, MMM’s adaptability to the post-cookie/post-IDFA world positions it as an essential tool for marketers. As businesses seek to connect the dots, leverage data, and make strategic decisions, MMM is a crucial ally in the dynamic realm of mixed media advertising.

Advertisement

“At Tinuiti, we leverage measurement best practices such as MMM and incrementality to understand media effectiveness, predict future outcomes, create deeper insights, analyzing what-if scenarios to provide recommendations that optimize media performance. This helps brands understand what channels they should be investing in, how they should shift budgets (media mix), creating a high-level view of what channels are driving overall sales and ROI. Our goal here is to deliver growth for our clients by maximizing the return on investment through best in class measurement”

— Annica Nesty, Group Director of Marketing Science at Tinuiti

At Tinuiti, we know, embrace, and utilize MMM. Our Rapid Media Mix Modeling sets a new standard in the market with its exceptional speed, precision, and transparency. 

Our proprietary measurement technology, Bliss Point by Tinuiti, allows us to measure what marketers have previously struggled to measure – the optimal level of investment to maximize impact and efficiency.  But this measurement is not just to go back and validate that we’ve done the right things. This measurement is real-time informing what needs to happen next.

Curious about how we can tailor strategies to hit your unique marketing bliss point, including Rapid Media Mix Modeling? We’re eager to chat. Contact us today for details.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

Email Ready to Send? Make Sure to Tick These Things off First!

Published

on

Email Ready to Send? Make Sure to Tick These Things off First!

Designing and developing an email campaign is a complex mechanism; a few things will inevitably escape your attention during the process. So, before you hit that send button, you must draw up a foolproof checklist to ensure every single component in your campaign is in its rightful place. Wondering what an ideal pre-flight checklist looks like? We’ve carefully compiled everything necessary in this blog. Read on to find out!

Subject Line and Pre-header Text

A subject line can make or break your emails. It’s the first thing about your email that reaches the audience, and if it fails to hit the right notes, you’ll have a tough time convincing your subscribers to engage with your emails.

What makes a subject line tick, you ask? Let’s take a look!

  • Your subject line should prioritize an economy of words; this will help you on two accounts- firstly, a crisp and to-the-point subject line increases your probability of catching the reader’s attention. Secondly, longer subject lines run the risk of being clipped on mobile devices, thereby spoiling the subscriber’s user experience. By keeping your subject lines concise, you eliminate this possibility.
  • Ensure your subject line clearly explains what readers can expect upon opening the email. The more guesswork your subject line demands of readers, the less likely they are to open your email.
  • Steer clear of using words that might be considered spammy. With email filters becoming more and more sophisticated, usage of any sort of contentious term in your subject line will result in ISPs flagging your email as spam.
  • Personalize your subject line. In a climate of increasingly crowded email boxes, personalization is one technique you simply can’t afford to overlook.

Besides fine-tuning your subject line, you also need to pay attention to your pre-header text. Building upon the context provided by your subject line, pre-header texts give readers an additional nudge to open their emails. Two crucial things that you must keep in mind while curating your pre-header texts are:

  1. It must exist only as an extension of your subject line; it must not try to introduce any new ideas on its own.
  2. It must be mobile-optimized.

Broken Links

Given that the links embedded in your email eventually facilitate a conversion, it is imperative that you thoroughly evaluate their health prior to delivering your emails. Broken links aren’t just bad for business; they also spoil a subscriber’s user experience.

Here are a few things you must check after embedding a link in your email:

  • This might sound trivial, but do check if the link you have inserted is the one you intended to or not; the only thing perhaps worse than having a broken link is having an irrelevant one.
  • Check that the link is redirecting the user to the desirable destination.
  • If the download of a resource is supposed to be triggered by clicking the link, check if that’s functioning properly; you wouldn’t want subscribers clicking umpteen times on your link only for it to return nothing.

Accessibility

Apart from acing your content and design, you must also work towards making your email campaigns accessible; people making use of assistive technologies must be able to engage with and comprehend your emails in an absolutely hassle-free manner.

Given below are a few measures that will help you make your campaigns accessible to all:

Advertisement
  • Organize your email content. Break down long paragraphs into small sections of 2-3 lines. Use bullets and subheadings wherever necessary. This will make it easy for assistive technologies such as screen readers to parse through your content.
  • Write descriptive alt texts for the images you’re including. Besides improving accessibility, alt texts also enable search engines to crawl your page more efficiently, thereby boosting your SEO.
  • Use semantic markup; this will help screen readers navigate your emails in a smooth fashion.
  • Try to stick to a single-column layout while designing your email template.

This email from AllTrails is an ideal example of an accessible template.

Inbox Preview

Different email clients render emails differently, even if only slightly. Hence, before sending out your emails, you must preview them across different environments and clients to check if they appear as desired. If you are designing your email for dark mode, too, it becomes that much more important to preview it before delivering.

Wrapping It Up

For your email campaigns to be able to drive maximum impact, they must be free of blemishes of all kinds. We hope the pre-flight checklist we shared above proves to be of help to you when you sit down to create your next campaign.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

The Problem With AI Headlines

Published

on

The Problem With AI Headlines

Today is the Ides of March.

It is not a day to celebrate; it is a day to beware, as the soothsayer told Julius Ceasar.

It didn’t work out well for him, but will the 2024 caveat — beware of the Ides of AI — from OpenAI’s Sam Altman work out for you?

He says future AI will accomplish “95% of what marketers use agencies, strategists, and creative professionals for today.”

As a creative and content professional, will you find yourself on the steps of the proverbial senate saying, “Et tu, ChatGPT?” and getting knifed in the back by a prompt engineer?

Advertisement

We went to CMI’s chief strategy advisor, Robert Rose, for his take. Read on or watch this video:

Caveat to marketers

In a Marketing Artificial Intelligence Institute article and podcast episode, they discussed the recent report about Sam’s bold predictions about the future of AI and marketing creative.

The prediction is going largely unreported by mainstream media because it comes from a book being written in real time called Our AI Journey by Adam Brotman and Andy Sack.

(Side note: The book appears to be a clever content marketing effort by the authors and an innovative way to combine both a book and an online community, as well as a revenue-generating audience build.)

Advertisement

Sam’s prediction occurs in the discussion of AGI — artificial general intelligence. That means AI is much more advanced than today’s generative AI tools and can solve problems on its own and learn to adapt to a range of contexts.   

That understanding puts the prediction into better perspective. Sam was asked what AGI means for consumer brand marketers trying to create ad campaigns to build their companies. He responded, “95% of what marketers use agencies, strategists, and creative professionals for will easily, nearly instantly, and at almost no cost be handled by the AI.”

He continued, “AI will be likely to test the creative against real or synthetic customer focus groups for predicting results and optimizing. Again, it is all free, instant, and nearly perfect. Images, videos, campaign ideas? No problem.”

So, should you fold up your tent and head home? It doesn’t seem you’ll be needed much longer. What CEO would turn down a system of instant, free, nearly free perfect images, videos, and marketing campaigns that could be instantly and continuously optimized against real and synthetic audiences? Their results would be predictable because they are always going to work; otherwise, AI would NOT do that campaign.

But before you plan your exit, let’s get a reality check on those AI possibilities.

Get an AI reality check

Sam is selling a utopian version of AI in an interview for a book entitled Our AI Journey. It would be a short book and self-deflating if he said, “Meh, AI’s going to increase our productivity by a few percentage points and make some menial tasks a little easier.” It’s hard to raise a trillion dollars in venture money, which he’s trying to do, without whipping up a little clickbait.

Advertisement

I don’t mind that. But what bothers me about quotes like that is the reaction. Markets and people, including practitioners, hear them, and two things happen. First, it becomes about the headline, not the nuance.

That’s where the context should come into play. In the interview, Sam says, “We’re about five years away from AGI — maybe longer.” Some experts extend that time to 25 years. And, by the way, agreement on the definition of AGI still hasn’t happened.  

But that nuance will get left behind as the quote ends up on the news and spreads around social media. The headline will be something like, “Sam Altman Says ChatGPT Will Replace 95% of Marketing Agencies and Creative Professionals.”

The second thing to happen, as it does with other fear-based quotes about technology innovation, will be to associate that 95% with jobs and people rather than how it changes people.

The change isn’t one-sided. Do you really think the nature of what creative and marketing people do won’t change as everything else does? Of course not, but that’s how many read stats like that.

Revisit the office of the future

In 1975, Business Week ran a cover article called The Office of The Future. George Pake, the head of research at Xerox, predicted a revolution. In 20 years, he said, a TV terminal with a keyboard would let users push a button to call up documents on the screen and another button to get their mail or messages from anywhere in the world. He predicted printing paper would no longer be needed, ending the days of people filing and typing things. Office costs would plummet.

Advertisement

People were giddy. Word processors would eliminate the need for typing pools, typewriters, and filing, all the things that office workers did. Of course, when that did start happening, weird, unpredictable things happened too.

People paid attention to fonts and layout. The plain walls of text in interoffice memos turned into desktop-published beautiful layouts. It enabled side hustles. My mom had a career working from home, creating interoffice quarterly reports because she knew how to use a word processor. In the late 1980s, one of my first jobs out of college was in market research, where I dictated research reports into a tape recorder. A word processor person would put the content into the technology and layout the report because they could do the fonts and graphs that the client liked.

And yet, in 2024, my doctor’s office still uses fax machines and filing cabinets. Their forms still appear as walls of text. Business is not entirely digital despite the Xerox executive’s prediction.

Gain a fresh interpretation

You don’t know. Sam Altman doesn’t know. You don’t know how technology will shape your future. All you know is that it most likely will.

Let me switch up Sam’s quote. What if I said, “In five years, 95% of creative agencies and marketing people will use some form of AI to do what their clients want.”

At the core, Sam and I said the same thing. I focused on the evolution and change on you, not the technology. When you hear that, your reaction changes, right? My phrasing feels more realistic to you.

Advertisement

But my quote doesn’t make headlines.

That’s the takeaway. Every time you see one of those headlines — a prediction — look at it through this lens: “What if it’s me who changes to meet the value of the innovation and not what the innovation will do to change the value of me?”

Like what you read here? Get yourself a subscription to daily or weekly updates.  It’s free – and you can change your preferences or unsubscribe anytime.

HANDPICKED RELATED CONTENT:

Cover image by Joseph Kalinowski/Content Marketing Institute

Source link

Advertisement
Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending

Follow by Email
RSS