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What it is, and how it identifies vital customer touchpoints

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What it is, and how it identifies vital customer touchpoints

Marketing attribution is an umbrella term describing the departments, people, and technology responsible for determining what marketing tactics and channels are contributing to sales, conversions, and leads. The responsibilities inherent in marketing attribution roles include:

  • Understanding which channels generate the most leads, sales, and revenue.
  • Identifying channels and touchpoints that refer the highest quality leads or the most valuable customers.
  • Predicting/planning marketing and/or advertising spend based on past performance.
  • Having a holistic understanding of the offline and online customer buying journey and weighting journey interactions appropriately.
  • Running/viewing reports and providing insights based on campaign data and analytics.
  • Measuring customer engagement for each touchpoint (e.g., multi-touch attribution).

In order to optimize current campaigns, and plan future ones, marketers need to know which touchpoints are effective in driving conversions. Given the complexity of today’s customer journey across digital and non-digital channels, this is an enormous challenge. The solution will have data at its core.

Marketers and C-level executives are feeling an increased demand to prove the effectiveness of their ad campaigns and marketing initiatives. For instance, 59% of marketing leaders said they face high levels of pressure from CEOs to show the impact of their efforts, according to the August 2021 CMO Survey sponsored by the American Marketing Association, Deloitte, and Duke University’s Fuqua School of Business. Marketing attribution has the potential to address this need.

In this post, we’ll cover the basics of marketing attribution — what it is, why it’s important, and how marketing and sales teams can succeed with it. Key points covered include:

Estimated reading time: 11 minutes

What is marketing attribution?

Marketing attribution is the process of measuring and assigning credit to any channel or touchpoint that impacts a company’s pipeline and revenue. However, the problem with attribution is that both B2B and B2C customer journeys are becoming more complex.

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Traditional attribution modeling relies on interpreting static ROI metrics in a dynamic marketing environment. This can lead to false assumptions — and incorrect attribution — if marketers fail to dig deeper.

A dynamic marketing environment refers to the nonlinear characteristic of the modern customer journey. It speaks to how each piece of content, interaction, and experience contributes to the culmination of the buying journey (e.g., the sale, lead, or conversion).

What it is and how it identifies vital customer touchpoints

Tracking and measuring interactions is the easy part. Understanding the context and importance of each interaction—how it ultimately contributes to the customer’s final action — is the hard part, particularly when you’re weighing the combined impact of offline and online channels. The ability to do this well begins and ends with data, so it makes sense that the tools that facilitate marketing attribution focus on ingesting, measuring, and interpreting data.

Types of marketing attribution models

There are several different types of marketing attribution models that marketers use to assign credit to their initiatives. It’s important to understand them if you want to do marketing attribution the right way.

First-touch attribution. This model gives 100% of the credit for a conversion or sale to the first customer touchpoint. Take paid search or social clicks, for example. It’s very easy to give a paid search or social ad all the credit for a sale because it’s easy to see the click-to-sale funnel in your Google Analytics report.

But this model also relies on third-party cookies to deliver the information. (We’ll get to why that’s a problem in a bit.) It also discounts any other interactions the customer may have had before or between the ad click and the final sale. This is the model that tends to annoy your sales team since the credit is given to the channel bringing in the lead rather than the work required to close the sale.

Last-touch attribution. This gives 100% of the credit for a conversion or sale to the last touchpoint the customer interacted with before converting. Sales teams like this model because it tends to favor sales materials like eBooks, webinars, and demos over top-of-funnel touchpoints like search ads.

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Multi-touch attribution. Multi-touch gives credit to every touchpoint and interaction along a customer’s buying journey that contributes to the final conversion or sale. Traditional multi-touch models tend to be linear, meaning they weigh each touchpoint equally. There’s been much debate about the value of making assumptions based on metrics alone (e.g., more leads equals more success).

In a perfect multi-touch attribution world, marketers can weigh the impact of each touchpoint based on how it influences the final sale or conversion. This is where martech tools can help.


What it is and how it identifies vital customer touchpoints

Explore capabilities from vendors like Adobe, Pointillist, SharpSpring, Salesforce and more in the full MarTech Intelligence Report on customer journey analytics platforms.

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Why should marketers care about attribution?

The only way marketers can optimize current and future campaigns is by knowing which touchpoints are effective in driving results. Given the complexity of today’s customer journey across digital and non-digital channels, this is an enormous challenge.

That some marketing dollars will inevitably be wasted is not news. Way back in 2018, nearly 30% of global marketers said they wasted nearly a third of their marketing budgets, and half wasted about 20%.

Marketing attribution promises to redirect the flow of wasted dollars from ineffective channels to those channels and tactics that are most effective. When it comes to marketing, everything is measurable.

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You should care about proper marketing attribution because:

  • It tells you what things you should be paying attention to and which have less value.
  • It helps you predict what’s coming so you can make real-time adjustments in your marketing approach.
  • It helps you spend your marketing dollars wisely.
  • It empowers your marketing and sales teams to make better decisions about their budgets and time.
  • It requires that marketing, sales, product, and management teams talk to each other to evaluate the customer journey holistically.
  • It banishes data siloes.

However, marketing attribution isn’t a perfect science. Markets are “complex adaptive systems,” says marketing strategist Kathleen Schaub, meaning the interactions between audiences and brands can be unpredictable with so many factors creating feedback loops. Marketers must acknowledge that ROI measurement is complex and requires a combination of optimized management structures and high-quality marketing attribution tools.


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While every team in an organization benefits when they understand their company’s unique buying cycle, marketing attribution tools are generally the purview of marketing teams.

Here are some use cases that highlight these tools and how they’re used.

The CMO of a B2B company wants to understand how the latest top-of-funnel brand strategy is impacting revenue. Connecting branding initiatives to revenue is a tough exercise. It requires measuring things like brand experience and level of awareness based on interaction and engagement, ultimately tying both to sales. Tools like SproutSocial and Brandwatch can be integrated with marketing analytics platforms to understand how marketing impacts brand awareness, which impacts sales.

The CMO of a global retail chain wants to understand what paid media channels contribute to the highest-value customers. Multi-touch attribution can help this CMO understand which paid media sources deliver the highest value customers by tying the top-of-funnel tactic (e.g., search ads) to mid- and low-funnel activities (e.g., adding items to the shopping cart, initiating a chat on the e-commerce website, etc.) The goal here is to redistribute ad spend to the most effective activities without increasing the marketing budget.

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The owner of a local restaurant wants to know what offers and promotions resonate best with customers. Consumer behavior data procurement is vital when making marketing decisions, and marketers need attribution tools to help identify which events in the buyer journey drive the most conversions. Attributing conversion values to specific offers, promotions, and other calls-to-action can show businesses which circumstances lead to higher levels of customer buy-in.

The CEO of a Fortune 500 tech company wants to move away from third-party data and better understand the buying journey from their customers’ perspective. Appropriate attribution requires high-quality data, but most marketers currently use third-party cookies to create, track, and optimize ad campaigns. As we move to a cookieless world, marketing attribution will increasingly rely on first-party data using tools like CDPs, identity resolution platforms, and journey orchestration engines (JOEs) to get a deep understanding of their customers’ buying journey.


What is digital transformation

Looking to take control of your data? Learn about trends and capabilities of customer data platforms in the latest edition of this MarTech Intelligence Report.

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The CMO of a CPG brand wants to understand if pairing certain online and offline touchpoints lift brand and/or ad recall. Marketing attribution, if done right, will enable you to unify every channel and touchpoint across the buying journey. Machine learning and AI can make these connections for you, synthesizing data from a range of sources to surface insights that can help you understand how offline touchpoints like TV and radio work with digital channels to improve campaign performance.

Any tool that helps identify how your ads, content, and media contribute to campaign performance falls under the umbrella of marketing attribution software. But to be considered a true marketing attribution platform, a tool must contain the following features:

  • It supports a broad range of online and offline channels: digital, TV, radio, OTT, podcast, and IoT to capture interactions between your customers and your brand.
  • It offers “big picture” analysis by ingesting — and normalizing — data from a variety of campaigns, platforms, and sources.
  • It supports statistical modeling to get more meaningful information from incomplete or imperfect data.
  • It employs predictive analytics generally via AI and machine learning to help marketers plan campaigns.
  • It uses a variety of different attribution models, including single-touch, multi-touch, algorithmic, custom models, etc. to support all business types.
  • It has robust reporting and data visualization features that can deliver insights and reports in real-time based on user-specific KPIs and goals.
  • It integrates with martech/ad tech tools, e.g., fits seamlessly with your tech stack.
  • It typically has a relationship with walled-garden platforms like Amazon and Facebook to add additional data points that yield deeper insights.

Examples of marketing attribution tool capabilities

Marketers looking for tools that give them more in-depth customer touchpoint data will find a slew of helpful functions in attribution tools. Here are some of their capabilities and offerings.

Ingestion and management of offline marketing data. Although more and more marketing touchpoints are moving to digital channels, offline events still account for a large portion of most customer journeys and continue to grow. Attribution tools can help marketing account for this offline data to ensure these touchpoints don’t get lost in the mix.

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A single source of truth when evaluating channel effectiveness. Since marketing attribution tools measure touchpoints from a variety of channels and platforms, they’re able to offer marketers a single source of baseline data, which helps increase their confidence in the numbers.

Increased opportunities for personalization. Attribution tools can give marketers a more accurate picture of their customers’ preferred communication mediums and channels. This valuable data makes it easier for marketers to increase personalization.

Campaign spend analysis. These tools do a great job of offering marketers insights into the channels and touchpoints that have the best ROI. This allows them to better allocate campaign spend to the most profitable areas.

Each attribution platform is different, so remember to ask vendors about their specific capabilities when evaluating your options.

How marketing attribution can help marketers succeed

Marketing attribution technology can help marketers justify budgets and plan more effective strategies without third-party cookies. Unifying customer journey data across touchpoints and channels can help marketing and sales teams deliver more value.

Marketers are beginning to understand what consumers already knew — it’s all one buying journey. According to a recent study by The Trade Desk, the number of marketers who plan to use sales data very frequently will triple in the coming year. In addition, nearly 80% of respondents said they plan to use point-of-sale data to inform their advertising activity, connecting this activity to consumer purchases that occur both in physical stores and online.

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While marketing attribution relies on good data, it also requires knowledge of the current market and a multi-disciplinary approach to analyzing — and acting on — campaign performance data. Marketers who connect the dots across the entire buying journey are in a much better position to anticipate and respond to changes in the market (and in consumer behavior) than those who don’t.

Resources for learning more about marketing attribution

There are many tools and resources available that can help brands track and gain insights from each customer touchpoint. Here are some we believe will be beneficial:

Marketing attribution and predictive analytics: A snapshot

What it is. Marketing attribution and predictive analytics platforms are software that employ sophisticated statistical modeling and machine learning to evaluate the impact of each marketing touch a buyer encounters along a purchase journey across all channels, with the goal of helping marketers allocate future spending. Platforms with predictive analytics capabilities also use data, statistical algorithms and machine learning to predict future outcomes based on historical data and scenario building.

Why it’s hot today. Many marketers know roughly half their media spend is wasted, but few are aware of which half that is. And with tight budgets due to the economic uncertainty brought about by the COVID-19 pandemic, companies are seeking to rid themselves of waste.

Attribution challenges. Buyers are using more channels and devices in their purchase journeys than ever before. The lack of attributive modeling and analytics makes it even more difficult to help them along the way.

Marketers continuing to use traditional channels find this challenge magnified. The advent of digital privacy regulations has also led to the disappearance of third-party cookies, one of marketers’ most useful data sources.

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Marketing attribution and predictive analytics platforms can help marketers tackle these challenges. They give professionals more information about their buyers and help them get a better handle on the issue of budget waste.

Read Next: What do marketing attribution and predictive analytics tools do?


About The Author

1648711309 919 Why we care about traditional content management systems the original
Jacqueline Dooley is a freelance B2B content writer and journalist covering martech industry news and trends. Since 2018, she’s worked with B2B-focused agencies, publications, and direct clients to create articles, blog posts, whitepapers, and eBooks. Prior to that, Dooley founded Twelve Thousand, LLC where she worked with clients to create, manage, and optimize paid search and social campaigns.


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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.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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