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How Learning Python Can Improve Your PPC Campaigns

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Python has a major focus in SEO but what about PPC? The two disciplines are often treated as polar opposites but they share common goals and adding a bit of Python to a PPC campaign can do wonders for improving conversions, CTR, and time spent.

But before we have a look at how Python can boost your PPC performance, we need to outline what the language is all about.

What is Python?

Python is a programming language created by Guido van Rossum in the 1980s and publicly released in 1991. van Rossum wanted Python to emphasize code readability with five philosophical pillars:

  • Beautiful is better than ugly
  • Explicit is better than implicit
  • Simple is better than complex
  • Complex is better than complicated
  • Readability counts

Its structure and syntax help users to write logical code regardless of project size.

Companies that use Python include Google (naturally), Netflix, YouTube, NASA, IBM, Mozilla, and Disney.

Is it easy to learn?

The entry-level for Python is very low. Everything is based on logic and the language shares a lot of its syntax with other well-known languages such as JavaScript and C++. And if there isn’t a function that can solve your problem, you can create your own.

How do I install it?

As Jacob Fairclough said, Python can be difficult to install for some users. But that depends on your operating system.

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For most Mac users, Python comes built-in so you can use your Terminal to access it. That’s not the case for Windows users. The recommended way is via Anaconda as this also installs a lot of useful libraries to use (which I’ll explain in more detail later).

Google has its own environment as well called Google Colab.

Python techniques to help your PPC campaigns

In the words of Aristotle, “for the things we have to learn before we can do them, we learn by doing them”. And Python is no exception. Practicing Python in SEO is common practice and it’s the same for PPC.

Understanding other languages is important but Python can save professionals a lot of time by automating jobs that would normally take hours.

The amount of data you can obtain from a PPC campaign can grow very quickly so a way to organize and automate it into a logical structure would make everyone’s lives a lot easier in the long run.

Two of the biggest applications of Python are AI and machine learning and they’re also the main bridges between the language and PPC. As Danielle Strouther said in her article AI For PPC Is Only Useful If You Use External Tools, “using AI for PPC is no longer an option. It’s a necessity.” So that’s what we’ll look at – integrating Python with external tools and software.

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Other things you can do with Python that can help you with PPC management includes:

  • Data scraping
  • Data analysis and mining
  • Data visualization
  • Natural language processing (NLP)

Python + Google Ads

We all know how laborious Google Ads management can be. So Google created an API for its ad platform so users can automate a wide range of PPC-related tasks. You can find a list of them on the Client Library page.

One programmer created a script for KPI reporting which would come in handy for clients, shareholders, and colleagues.

Python + Google Search Console

When you write PPC ads, you want them to convert so your ROI can be as high as possible. Search data from Search Console can help find areas to improve or examples of success to capitalize on.

Passion Digital created a script that analyses search queries from Search Console to gain insights to improve SEO and PPC performance. It does this by finding keywords and phrases with poor conversion rates and CPA using those terms.

Python + Excel/Google Sheets

One of the most common Python workflow combos involves Excel and Google Sheets.

As data can be exported as CSV files and spreadsheets by most external tools, it’s easy to import them into a spreadsheet program. And Python loves data.

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The list of ways to use Python and Excel with PPC data is exhaustive. You could use it to project future trends, CTR prediction, campaign creation, keyword generation, bid modifying, account structure analysis, customer match lists, geolocation targeting.

Python + Google Data Studio

Google Data Studio is a powerful tool for data visualization and it’s free to use. So combining it with Python means a streamlined approach to data viz and reporting.

There are also paid tools like Panoply which can integrate Data Studio and Python along with a multitude of services like Salesforce, Zendesk, and Google Analytics. Suddenly you have a large network of data from every department – sales, dev, customer support, project management, design, web analytics. Phew!

You can even spy on your competitors using Python and create PPC reports and graphs with Data Studio to show the results.

Python + Google

The SERPs are more than just a display of results. They can be used as their own data source and give an insight into how well you and your competitors are doing.

With APIs like Serpstack, you can extract data about ads from any SERP and analyze things like position, title and description optimization, sitelinks, and displayed URLs. You can also leverage this with organic results to find new potential keywords you can bid on and improve your campaigns.

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Python + Facebook

In 2017, Facebook made its Prophet open source. The forecasting tool is accessible through Python and R (another programming language) and is optimized for businesses to forecast trends, whether they’re hourly, daily, weekly, or seasonal.

It’s highly advanced and mainly for large scale business use but if you have the expertise and the resources, Prophet has the potential to streamline major paid campaigns.

Useful libraries, modules, and APIs

Vanilla Python can do most jobs but its power lies in all the libraries, modules and APIs you can use. Although they all share similarities, they’re all different additions. A module is a Python file containing functions, variables, and methods, a library is a collection of modules and pre-defined functions that let you perform actions without writing the code yourself, while an API is an interface set of standards and instructions.

Here’s a list of some useful ones you can use.

  • Pandas (library) – Pandas is an open-source library that makes data structures and data analysis tools. You can make tables, create ordered and unordered data series and “dataframes”, join, merge, and split them. It’s probably the most flexible data analysis tool to have if you’re using Python.
  • CSV (module) – This module goes hand-in-hand with pandas as it allows you to export data into a CSV.
  • Requests (library) – Requests is a must if you’re scraping web data. It sends requests to HTTP pages, allowing you access to pull anything from a webpage. If you’re planning to scrape SERP data, it’s an essential library to use.
  • Beautiful Soup (library) – Beautiful Soup is the companion to requests, letting you take out everything inside an HTTP page.
  • Serpstack (API) – The serpstack API allows you to scrape Google SERP data in real-time and at scale and it lets you export the data in JSON and CSV formats (depending on your account level).
  • Google APIs (API) – Google being Google, they have a library of APIs you can use for all kinds of things.
  • TensorFlow (library) – One of the best libraries for machine learning.
  • SciKit Learn (library) – Another machine learning library for predictive data analysis

Other resources

Summary

Learning a programming language can seem daunting but Python is one of the easiest and most accessible languages out there. Its automation and analysis capabilities have a wide range of uses and it can help to simplify complex data and automate time-consuming tasks. Nobody wants to make their jobs harder!

If I had to give some takeaway advice to remember while you learn, I’d say:

Don’t let FOMO get to you

When I started learning Python, I got carried away with jumping into projects without knowing all the techniques. Everyone on Twitter was making amazing scripts and I was still learning about lists and loops. But then I realized I was never going to get to their level by copying and pasting when I didn’t understand. So I went back to my course and focused solely on that.

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Fully understanding the basics is the only way you’ll be able to build up to the advanced techniques. And there’s no expiration date on education.

Practice, practice, practice

Most courses come with practice examples. Aside from those, you should always test what you’ve learned. It doesn’t have to be part of a big project, just something small so you can get the hang of the techniques.

Stay curious

Learning something new isn’t always easy. You’ll get frustrated when things don’t work and you may need some time away if it gets too much. But never lose your curiosity. Programming languages have so many applications and some haven’t even been discovered yet. Stay curious and you might find one.

Find others who are learning

Communities are great places to improve your learning. Here are some great places to collaborate and grow with Python:

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How to create editorial guidelines that are useful + template

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How to create editorial guidelines that are useful + template

Before diving in to all things editorial guidelines, a quick introduction. I head up the content team here at Optimizely. I’m responsible for developing our content strategy and ensuring this aligns to our key business goals.

Here I’ll take you through the process we used to create new editorial guidelines; things that worked well and tackle some of the challenges that come with any good multi – stakeholder project, share some examples and leave you with a template you can use to set your own content standards.

What are editorial guidelines?

Editorial guidelines are a set of standards for any/all content contributors, etc. etc. This most often includes guidance on brand, tone of voice, grammar and style, your core content principles and the types of content you want to produce.

Editorial guidelines are a core component of any good content strategy and can help marketers achieve the following in their content creation process:

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  • Consistency: All content produced, regardless of who is creating it, maintains a consistent tone of voice and style, helping strengthen brand image and making it easier for your audience to recognize your company’s content  
  • Quality Control: Serves as a ‘North Star’ for content quality, drawing a line in the sand to communicate the standard of content we want to produce 
  • Boosts SEO efforts: Ensures content creation aligns with SEO efforts, improving company visibility and increasing traffic 
  • Efficiency: With clear guidelines in place, content creators – external and internal – can work more efficiently as they have a clear understanding of what is expected of them 

Examples of editorial guidelines

There are some great examples of editorial guidelines out there to help you get started.

Here are a few I used: 

1. Editorial Values and Standards, the BBC

 

Ah, the Beeb. This really helped me channel my inner journalist and learn from the folks that built the foundation for free quality journalism. 

How to create editorial guidelines, Pepperland Marketing

pepperlandmarketingblogpostoneditorialguidelines

After taking a more big picture view I recognized needed more focused guidance on the step by step of creating editorial guidelines.

I really liked the content the good folks at Pepperland Marketing have created, including a free template – thanks guys! – and in part what inspired me to create our own free template as a way of sharing learnings and helping others quickstart the process of creating their own guidelines.

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3. Writing guidelines for the role of AI in your newsroom?… Nieman Lab

NiemanLabsguidanceonroleofaiinyournewsroom

As well as provide guidance on content quality and the content creation process, I wanted to tackle the thorny topic of AI in our editorial guidelines. Specifically, to give content creators a steer on ‘fair’ use of AI when creating content, to ensure creators get to benefit from the amazing power of these tools, but also that content is not created 100% by AI and help them understand why we feel that contravenes our core content principles of content quality. 

So, to learn more I devoured this fascinating article, sourcing guidance from major media outlets around the world. I know things change very quickly when it comes to AI, but I highly encourage reading this and taking inspiration from how these media outlets are tackling this topic. 

Learn more: The Marketer’s Guide to AI-generated content

Why did we decide to create editorial guidelines?

1. Aligning content creators to a clear vision and process

Optimizely as a business has undergone a huge transformation over the last 3 years, going through rapid acquisition and all the joys and frustrations that can bring. As a content team, we quickly recognized the need to create a set of clear and engaging guidelines that helps content creators understand how and where they can contribute, and gave a clear process to follow when submitting a content idea for consideration. 

2. Reinvigorated approach to brand and content 

As a brand Optimizely is also going through a brand evolution – moving from a more formal, considered tone of voice to one that’s much more approachable, down to earth and not afraid to use humor, different in content and execution. 

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See, our latest CMS campaign creative:

Mock ups of Optimizely CMS campaign creative

It’s pretty out there in terms of creative and messaging. It’s an ad campaign that’s designed to capture attention yes, but also – to demonstrate our abilities as a marketing team to create this type of campaign that is normally reserved for other more quote unquote creative industries. 

We wanted to give guidance to fellow content creators outside the team on how they can also create content that embraces this evolved tone of voice, while at the same time ensuring content adheres to our brand guidelines.

3. Streamline content creation process

Like many global enterprises we have many different content creators, working across different time zones and locations. Documenting a set of guidelines and making them easily available helps content creators quickly understand our content goals, the types of content we want to create and why. It would free up content team time spent with individual contributors reviewing and editing submissions, and would ensure creation and optimization aligns to broader content & business goals.

It was also clear that we needed to document a process for submitting content ideas, so we made sure to include this in the guidelines themselves to make it easy and accessible for all contributors. 

4. 2023 retrospective priority 

As a content team we regularly review our content strategy and processes to ensure we’re operating as efficiently as possible.

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In our last retrospective. I asked my team ‘what was the one thing I could do as a manager to help them be more impactful in their role?’

Editorial guidelines was the number 1 item on their list. 

So off we went… 

What we did

  • Defined a discrete scope of work for the first version of the editorial guidelines, focusing on the Blog and Resources section of the website. This is where the content team spends most of its time and so has most involvement in the content creation process. Also where the most challenging bottlenecks have been in the past
  • Research. Reviewed what was out there, got my hands on a few free templates and assembled a framework to create a first version for inputs and feedback 
  • Asked content community – I put a few questions out to my network on LinkedIn on the topic of content guidelines and content strategy, seeking to get input and guidance from smart marketers.  

linkedinpostoneditorialguidelines

Combining two of my great passions in life – content strategy and Arrested Development – in one LinkedIn post (Feb 2024)

  • Invited feedback: Over the course of a few weekswe invited collaborators to comment in a shared doc as a way of taking iterative feedback, getting ideas for the next scope of work, and also – bringing people on the journey of creating the guidelines. Look at all those reviewers! Doing this within our Content Marketing Platform (CMP) ensured that all that feedback was captured in one place, and that we could manage the process clearly, step by step:

Optimizelycmpscreenshotofeditorialguidelines

Look at all those collaborators! Thanks guys! And all of those beautiful ticks, so satisfying. So glad I could crop out the total outstanding tasks for this screen grab too (Source – Optimizely CMP) 

  • Updated content workflow: Now we have clear, documented guidance in place, we’ve included this as a step – the first step – in the workflow used for blog post creation: 

Optimizely CMP screenshot of editorial guideline review

Source: Optimizely CMP

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Results

It’s early days but we’re already seeing more engagement with the content creation process, especially amongst the teams involved in building the guidelines (which was part of the rationale in the first place :))

Screenshot of teams message editorial guidelines

Source: My Teams chat 

It’s inspired teams to think differently about the types of content we want to produce going forwards – for the blog and beyond.

I’d also say it’s boosted team morale and collaboration, helping different teams work together on shared goals to produce better quality work.

What’s next?

We’re busy planning wider communication of the editorial guidelines beyond marketing. We’ve kept the original draft and regularly share this with existing and potential collaborators for ongoing commentary, ideas and feedback.

Creating guidelines has also sparked discussion about the types of briefs and templates we want and need to create in CMP to support creating different assets. Finding the right balance between creative approach and using templates to scale content production is key. 

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We’ll review these guidelines on a quarterly basis and evolve as needed, adding new formats and channels as we go.

Key takeaways

  • Editorial guidelines are a useful way to guide content creators as part of your overall content strategy
  • Taking the time to do research upfront can help accelerate seemingly complex projects. Don’t be afraid to ask your community for inputs and advice as you create
  • Keep the scope small at first rather than trying to align everything all at once. Test and learn as you go
  • Work with stakeholders to build guidelines from the ground up to ensure you create a framework that is useful, relevant and used

And lastly, here’s that free template we created to help you build or evolve your own editorial guidelines!

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Effective Communication in Business as a Crisis Management Strategy

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Effective Communication in Business as a Crisis Management Strategy

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

The ruining impact of the crisis on business

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

The power of effective communication

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

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

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

Tips on crafting an effective crisis communication plan.

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

Identify your crisis scenarios.

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

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Form a crisis response team.

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

Prepare communication templates.

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

Establish communication protocols.

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

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

Practice and improve.

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

Wrapping up

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

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

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

To use AI or not to use AI, that is the question.

Let’s hope things work out better for you than they did for Shakespeare’s mad Danish prince with daddy issues.

But let’s add a twist to that existential question.

CMI’s chief strategy officer, Robert Rose, shares what marketers should really contemplate. Watch the video or read on to discover what he says:

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Should you not use AI and be proud of not using it? Dove Beauty did that last week.

Should you use it but keep it a secret? Sports Illustrated did that last year.

Should you use AI and be vocal about using it? Agency giant Brandtech Group picked up the all-in vibe.

Should you not use it but tell everybody you are? The new term “AI washing” is hitting everywhere.

What’s the best option? Let’s explore.

Dove tells all it won’t use AI

Last week, Dove, the beauty brand celebrating 20 years of its Campaign for Real Beauty, pledged it would NEVER use AI in visual communication to portray real people.

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In the announcement, they said they will create “Real Beauty Prompt Guidelines” that people can use to create images representing all types of physical beauty through popular generative AI programs. The prompt they picked for the launch video? “The most beautiful woman in the world, according to Dove.”

I applaud them for the powerful ad. But I’m perplexed by Dove issuing a statement saying it won’t use AI for images of real beauty and then sharing a branded prompt for doing exactly that. Isn’t it like me saying, “Don’t think of a parrot eating pizza. Don’t think about a parrot eating pizza,” and you can’t help but think about a parrot eating pizza right now?

Brandtech Group says it’s all in on AI

Now, Brandtech Group, a conglomerate ad agency, is going the other way. It’s going all-in on AI and telling everybody.

This week, Ad Age featured a press release — oops, I mean an article (subscription required) — with the details of how Brandtech is leaning into the takeaway from OpenAI’s Sam Altman, who says 95% of marketing work today can be done by AI.

A Brandtech representative talked about how they pitch big brands with two people instead of 20. They boast about how proud they are that its lean 7,000 staffers compete with 100,000-person teams. (To be clear, showing up to a pitch with 20 people has never been a good thing, but I digress.)

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OK, that’s a differentiated approach. They’re all in. Ad Age certainly seemed to like it enough to promote it. Oops, I mean report about it.

False claims of using AI and not using AI

Offshoots of the all-in and never-will approaches also exist.

The term “AI washing” is de rigueur to describe companies claiming to use AI for something that really isn’t AI.  The US Securities and Exchange Commission just fined two companies for using misleading statements about their use of AI in their business model. I know one startup technology organization faced so much pressure from their board and investors to “do something with AI” that they put a simple chatbot on their website — a glorified search engine — while they figured out what they wanted to do.

Lastly and perhaps most interestingly, companies have and will use AI for much of what they create but remain quiet about it or desire to keep it a secret. A recent notable example is the deepfake ad of a woman in a car professing the need for people to use a particular body wipe to get rid of body odor. It was purported to be real, but sharp-eyed viewers suspected the fake and called out the company, which then admitted it. Or was that the brand’s intent all along — the AI-use outrage would bring more attention?

To yell or not to yell about your brand’s AI decision

Should a brand yell from a mountaintop that they use AI to differentiate themselves a la Brandtech? Or should a brand yell they’re never going to use AI to differentiate themselves a la Dove? Or should a brand use it and not yell anything? (I think it’s clear that a brand should not use AI and lie and say it is. That’s the worst of all choices.)

I lean far into not-yelling-from-mountaintop camp.

When I see a CEO proudly exclaim that they laid off 90% of their support workforce because of AI, I’m not surprised a little later when the value of their service is reduced, and the business is failing.

I’m not surprised when I hear “AI made us do it” to rationalize the latest big tech company latest rounds of layoffs. Or when a big consulting firm announces it’s going all-in on using AI to replace its creative and strategic resources.

I see all those things as desperate attempts for short-term attention or a distraction from the real challenge. They may get responses like, “Of course, you had to lay all those people off; AI is so disruptive,” or “Amazing. You’re so out in front of the rest of the pack by leveraging AI to create efficiency, let me cover your story.” Perhaps they get this response, “Your company deserves a bump in stock price because you’re already using this fancy new technology.”

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But what happens if the AI doesn’t deliver as promoted? What happens the next time you need to lay off people? What happens the next time you need to prove your technologically forward-leaning?

Yelling out that you’re all in on a disruptive innovation, especially one the public doesn’t yet trust a lot is (at best) a business sugar high. That short-term burst of attention may or may not foul your long-term brand value.

Interestingly, the same scenarios can manifest when your brand proclaims loudly it is all out of AI, as Dove did. The sugar high may not last and now Dove has itself into a messaging box. One slip could cause distrust among its customers. And what if AI gets good at demonstrating diversity in beauty?

I tried Dove’s instructions and prompted ChatGPT for a picture of “the most beautiful woman in the world according to the Dove Real Beauty ad.”

It gave me this. Then this. And this. And finally, this.

She’s absolutely beautiful, but she doesn’t capture the many facets of diversity Dove has demonstrated in its Real Beauty campaigns. To be clear, Dove doesn’t have any control over generating the image. Maybe the prompt worked well for Dove, but it didn’t for me. Neither Dove nor you can know how the AI tool will behave.

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To use AI or not to use AI?

When brands grab a microphone to answer that question, they work from an existential fear about the disruption’s meaning. They do not exhibit the confidence in their actions to deal with it.

Let’s return to Hamlet’s soliloquy:

Thus conscience doth make cowards of us all;

And thus the native hue of resolution

Is sicklied o’er with the pale cast of thought,

And enterprises of great pith and moment

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With this regard their currents turn awry

And lose the name of action.

In other words, Hamlet says everybody is afraid to take real action because they fear the unknown outcome. You could act to mitigate or solve some challenges, but you don’t because you don’t trust yourself.

If I’m a brand marketer for any business (and I am), I’m going to take action on AI for my business. But until I see how I’m going to generate value with AI, I’m going to be circumspect about yelling or proselytizing how my business’ future is better.

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

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Cover image by Joseph Kalinowski/Content Marketing Institute

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