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Guarantee trust by handing privacy power back to the consumer

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Today’s data collection and user privacy landscape is a minefield. But it also provides important business advantages for brands and companies to address privacy concerns head-on and establish a foundation of trust with their loyal customer base.

Understanding how customers perceive your company’s data practices in this complicated landscape will help you develop the transparent strategies to build the trust you need moving forward.

A new paradigm for privacy in today’s world

Gone are the days of total privacy when it comes to personal data. Every time you walk out the door, you encounter situations where you’re willingly giving personal information away — when you buy a coffee on the way to work, as you pump gas, or listen to the new song you downloaded onto your Spotify playlist.

These seemingly innocuous actions all pile up together and morph into a personalized, digital persona that helps inform how brands and companies speak and interact with each and every consumer. The majority of people may hate this, but let’s be clear: Everyone signed up for it. Time and time again.

How often have you nonchalantly scrolled through a Terms of Service page only to click “accept” without reading anything at all? How many times have you searched for something on Google, whether to find the nearest grocery store or to look up the cheapest flights for an upcoming vacation? As a consumer society, we’ve granted companies the power to take first-party data, and zero-party data, and all kinds of information whenever they so choose, just by living our day-to-day lives.

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The privacy paradox

By now, you’d assume people would be comfortable with giving up their personal data in exchange for the assurance of daily conveniences. However, a recent report shows that only 40% of users trust brands to use their personal data responsibly.

This juxtaposition — when consumers continue to give their personal data away but still don’t trust brands to act responsibly with that information — is called the “privacy paradox.” It sums up most touchpoints we have when interacting with brands and companies.

First used as a term in 2001, the privacy paradox is a dichotomy in how a person intends to protect their online privacy versus how they actually behave online, ultimately not protecting their information. This is usually because of an unwillingness to break convenient habits or behaviors. For instance, taking the required time to read the Terms of Service before downloading an app or signing up for a user platform.

While data privacy has always been a top consumer concern, in recent years it’s become an increasingly high priority with major tech companies like Apple, Google, and others receiving intense pressure to heighten security regulations for personal data use. This has led to recent privacy updates that allow users to opt out of tracking and limit the amount of information brands and companies can now obtain. 

According to a McKinsey survey, one in 10 internet users worldwide (and three in 10 U.S. users) deploys ad-blocking software to prevent companies from tracking online activity. 87% of consumers say they would not do business with a company if they had concerns about its security practices, and 71% said they would stop doing business with a company if it gave away sensitive data without permission.

Consumers are increasingly buying products and services only from brands and companies they trust and believe are both protecting their personal data while also using it to connect with them through hyper personalized and engaging touchpoints.

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Read next: Build trust, gain sales

Lead with first-party data transparency

First-party data is perhaps the most simple and ultimately effective personal data to collect from users. This data is information companies collect from consumers through owned digital channels. Examples of first-party data include survey data, purchase history, website activity, email engagement, sales interactions, support calls, customer feedback programs, interests, and general behavior in owned digital channels.

What makes first-party data such an opportune marketing tool is that consumers have willingly given brands this personal data. This makes it reliable and future-proof as long as people have consented for their data to be used by marketers to make contact and engage.

With this information captured, it’s imperative for brands and companies to ensure points of contact with users are effective, personalized, and clearly define how and when their data will be used for their personal benefit. Effective methods include an email or text communication that clearly state a person’s information will be kept private and not sold to a third-party; or that a user can easily choose to opt out of communications with a simple click or two.

Consumers respect brands and companies that emphasize an individual’s right to opt out of sharing data, so offering an easy-to-use consumer data opt-out feature, and being very clear about your intended use of their data, is key to establishing a baseline foundation of trust for future engagement.

Give power back to the consumer

According to the Cisco 2021 Consumer Privacy Survey (2,600 anonymous responses across 12 countries), nearly half of respondents feel they are unable to protect their personal data. They cited that the main reason is that companies aren’t being clear about how they are using peoples’ personal data. As a result, one-third have become “Privacy Actives” and stopped interacting or doing business with traditional companies like retail stores, banks and credit card companies. In addition, 25% have made inquiries to organizations about their data and 17% have requested changes or deletions to this data.

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The customer should always come before the data — no exceptions. Smart brands and companies will view privacy and respect for customer data as a potential differentiator rather than a barrier to entry. In addition to the tactics described above to help brands and companies be more candid and open with users, there are also important tactics that are easily implemented to continue building trust and to empower consumers to have a say in the conversation about their own data privacy.

First, every company should proactively send out quarterly or annual user data privacy reports that specifically outline how customer data is being used, as well as the safeguards being implemented to protect that data from potential data leaks or hacks. The company should also provide additional levels of assurance of how information is being used to line up with ever-evolving customer comfort levels.

Additionally, the way in which you provide this type of informative, personalized information is key to whether a consumer will choose to react positively or negatively. A post from Statista shows that 97% of people between 18 and 34 accept conditions without reading them. Additionally, the time needed to read through terms of service agreements for today’s leading online services and platforms can be more than an hour. While consumers should be reading the fine print, it’s clear the majority fail to do so — but still expect brands and companies to offer up ultimate transparency when it comes to their personal data use.

How to communicate privacy information

A solution to help bridge this gap and continue to build trust, instead of lengthy emails and updates, is to deliver this information in more visual forms like an infographic, chart, or video message. Personalized touchpoints with consented consumers could include:

  • Surveys.
  • Quizzes.
  • Personalized emails addressing a customer’s specific needs.
  • Rewards or promos designed specifically for each user based on their personal behaviors.

These are just some of the strategies every company — big or small — should be considering to maintain long-term consumer trust and mutual openness.

The data privacy conversation is sticky and comes with many opportunities for brands and companies to mess up and lose consumer trust. With so many opportunities for failure, it’s imperative for brands and companies to be strategically thinking about the most effective ways they can use consumer first-party data to immediately establish trust, consistently work to maintain consumer relationships, and provide the level of user data and privacy transparency that is ultimately expected in today’s evolving digital age. 


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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


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About The Author

Josh has been at the forefront of innovative and inclusive data-led marketing for more than 26 years. During this time, he’s had the privilege of building an independent, data-led CRM agency that works with the world’s leading CPG, Financial, Travel, and B2B brands, companies, and organizations to achieve optimal growth between brands and their customers. An architect of Response Media’s Relationship Marketing System™, Josh leads the agency in facilitating true connections between brands and consumers, using digital marketing to deliver relevancy, meaning, trust, and mutual value at scale.
He has pioneered best-in-class consumer acquisition, brand partnerships, and relationship marketing platforms for some of the world’s largest advertisers and brands, including Procter & Gamble, American Red Cross, The Humane Society, ConAgra Foods, IBM, Disney, and Capital One.

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Let’s Start Treating Content More Like We Treat Code

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Let's Start Treating Content More Like We Treat Code

The technology space is pretty obsessed with preventing code defects from getting to production. We take great pains to make sure that a mistake doesn’t make it from the developer’s fingertips all the way through to the product system.

There’s an entire field called DevOps (short for “development operations”). This is something like a $5 billion industry. There are entire market segments filled with companies that tightly control the movement and testing of code.

Search for “DevOps diagram” sometime. You’ll be amazed at what you find—detailed schematics showing exactly how code should be copied, packaged, tested, and deployed. Developers who don’t have an artistic bone in their bodies suddenly turn into Da Vinci when describing in exacting detail how they want to orchestrate code deployments.

All of this is in search of one goal: prevent bad code from reaching production. A lofty goal, to be sure.

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…but why don’t we care so much about content?

Where we have majestic acrobatics on the code side, when it comes to content, the process is usually something like, “Well, Alice writes something in Word, then emails it to Bob, and he copies it into the rich text editor” then presses publish.

Congratulations, you have the tightest, most reliable codebase serving up terrible content. A+. Great job.

Content defects are a thing, and we don’t do enough to prevent them. In particular, we don’t look at content development as a process to be managed. We think it’s some kind of magic, not a flow of work with checkpoints, trackable assignments, and review gateways. We’re somehow convinced this would take the “soul” out of it or something.

So, while our developers get six figures worth of toys to make sure they can swap every line of code instantly without spilling their coffee, our content creators are copying and pasting things into Slack and yelling “I swear sent that to you last week!” over the cubicle wall.

We need to do better.

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Content creation isn’t magic—no more than code is magic. It’s a process that can and should be managed just like code deployments, and it deserves the same level of regard.

Your content creators need:

  • Library services. Your developers have source code management. They know where code is, all the time. They probably have versions of it dating back to when they were teenagers. These things exist for content as well—they’re called content marketing platforms (CMPs) and digital asset management systems (DAMs). They’re designed to store, organize, and version content assets so creators know where everything is.
  • Change management, in the form of editorial calendaring. Your developers know when code will be released (note: don’t do it on Fridays). They plan these things long in advance. But ask a content creator when Content Item X for the new campaign is launching, and they can only say something like, “I don’t know. I showed it to Bob. It’s in his court now…”
  • Workflow. Developers have detailed ticket management systems that can tie their actions down to the exact line of source code they changed to resolve a defect. These systems exist so that everyone knows, at all times, who is responsible for what. Meanwhile, the content editors can only shrug when someone asks who was supposed to edit the CEO’s blog post that she just announced from the keynote stage.
  • Content preview. I promise you that your development team has a graduated system of environments where they test code. They probably spend hundreds of hours maintaining it, so they can run code in isolation and know exactly how it works before they deploy it. Think of that fondly next time when your image caption is published in 30pt bold-faced font because no one told you that it wouldn’t be. (Incidentally, I’ve been thinking about preview a lot lately.)

Here’s why this is important:

Content defects matter. They can be far more damaging than code defects, while being so much harder to detect. By the time you realize something is wrong, the problem may have been existing in public for a long time, doing a lot of damage.

Imagine that you have a software company, and you’ve been trying to get an analyst to include your software in one of their reports. Your Analyst Relations staff has been consistently courting, cajoling, and hinting to this analyst that your software fits their segment exactly, and would be a great addition to the report.

The analyst finally decides to check things out. They go to your website, looking for evidence of all the things you told them about. They expected to find reinforcement of that information, that energy, that…vibe.

But, they didn’t. Their experience fell flat. They gave you a 20-minute chance, but then clicked away and didn’t look back.

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Oh sure, you had plans. You were going to revamp that part of the website, and you had mentioned it to Gary just before he went on vacation. You heard some rumors that people were working on it, and some content got changed, but you never saw and never had a chance to guide it. Content development seemingly happened in a far-off land somewhere. Normally, when something changed on the website, you were as surprised as anyone.

This is a content defect. The whole thing. One big defect.

Why don’t we categorize like this? Why don’t we call it what it is?

Maybe because it’s not…binary? With code, things often either work, or explode spectacularly, so we can stand back and confidently say, “Yup, that’s busted.”

But with content, there’s a spectrum—there’s a range. People can look at it and say, “yeah, that’s fine” even when it’s not.

The only solution here is process. You need a way to make sure that content is seen by the right people, and at the right time, and has a way of reflecting the right input.

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This happens with code all the time. We handle code exactingly, rigorously, and with due process and care.

We need to demand the same for content. And we need to start acknowledging that poor content is a failure of process, a failure of planning, and a failure of tooling.

The tools are available to avoid this. We need to implement them and use them.

Interested in learning how Optimizely Content Marketing Platform can better support your content creation process? See how it works in this quick video.

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Generative Engine Optimization Framework Introduced in New Research

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Generative Engine Optimization Framework Introduced in New Research

There are several AI chatbot-like features available in the current search engines, including Bing Copilot, Google, Bard, and Gemini. They help to optimize the content visibility in the search results with the help of an AI-powered Search engine known as a Generative engine or AI Search.

A traditional search engine like Bing, Google, or Yahoo ranks and displays information in the SERPs based on the search terms a user inputs. 🔎

The generative engine, on the other hand, generates comprehensive, accurate, and relevant results and information with the help of Generative AI or Large Language Models (LLMs) such as chatGPT, Gemini, and Claude. They understand and integrate information from various sources for the user’s queries.

In this blog, We will discuss the GEO that is introduced in the new research, its framework, and how it can change traditional Search engine optimization (SEO) practices and optimize content for visibility.

The Key Components of the GEO Framework and How They Transform Traditional SEO Practices

GEO is described in the research paper as: “A novel paradigm to aid content creators in improving the visibility of their content in Generative Engine responses through a black-box optimization framework for optimizing and defining visibility metrics. We facilitate systematic evaluation in this new paradigm by introducing GEO-bench, a benchmark of diverse user queries across multiple domains, coupled with sources required to answer these queries.”

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Traditional SEO depends upon the keyword volume, difficulty, and optimization for the specific search terms, which focus less on an interpretation relationship between the concepts of keywords or user queries. SEO practices prioritize text-based source content over other sources of content format where regular updating of fresh content is not a primary focus. Also, metrics like impression and click rates affect ranking system results in traditional methods.

GEO encourages detailed information over just the keyword, addressing the related main queries by creating depth content and potential subtopics with the understanding of concept and relationship, encouraging the other formats, such as visual, audio, and images, not just text-based. Moreover, it emphasizes the latest updated content information with continuous accuracy and relevance to provide the most accurate and up-to-date details.

The Impact of Introducing GEO on Website Ranking and Content Relevancy

A generative engine relies on traditional SEO practices like user intent and algorithms for ranking to a degree, such as keyword stuffing. Although it focuses on keywords, it tries to find connections and meanings beyond the keywords in order to create high-quality content.

GEO doesn’t directly indicate the web visibility or page ranking in the Search Engine Result Page. However, it can optimize the overall website visibility and indirectly drive user traffic to your websites through generated responsive data and information.  

GEO-optimized content provides the AI Search or a Large Language Model (LLM) with reliable and completely detailed information, enabling them to generate the most accurate and relevant information for responses to user questions or inputs.

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These AI-powered engines can deliver a vibrant user experience using optimized content for user engagement and interactive experiences. Furthermore, It also builds trust with a user as it relies on renowned and credible sources, which enhances the effectiveness and reliability of the generated response data and provides synthesizing information.

Comparison with Existing SEO Models: Why GEO Stands Out in Enhancing Search Engine Performance

GEO utilizes auto-generative algorithms for content generation based on predetermined objectives and standards where generated content can cover a broader range of keywords and related topics in various formats like image and visual.

A generative search engine uses modern optimization techniques that involve cognitive SEO, NLP (natural language processing), and structured data markup to maintain and improve content leverage, relevancy, and search engine visibility. In addition, it introduces new methods for determining citations’ importance and website visibility, as well as improving user-centric content by using impression metrics.

Traditional SEO models rely upon and use specific keywords to optimize and rank manually in search results. It uses traditional optimization techniques like link building, meta tags, and URLs.

In traditional search optimization, content creation and optimization can be slow and have low content scalability compared to AI-powered, requiring manual effort for generation and optimization. Constant monitoring and adaptation to platform algorithms are needed to produce the latest and updated information for dynamic user behavior.

Both are equally responsible for improving the brand or website’s online visibility; traditional SEO models require the manual touch for content creation and optimization. GEO tends to use generative responses automatically for content generation as per user queries, making it more effective for user-centric content creation, optimization, and stability in related topics or keywords.

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9 Test research findings to improve the website content in GEO

The researchers from Princeton University, Georgia Tech, Allen Institute for AI, and IIT Delhi tested nine various GEO approaches to improve site content for generative engines. Techniques that have been tried and tested over 10,000 search queries, nine optimization strategies were tested on something that “closely resembles the design of BingChat”:

1714643800 803 Generative Engine Optimization Framework Introduced in New Research

  1. Authoritative: The content was altered to be more compelling while conveying definitive claims.
  2. Keyword Stuffing: More keywords were added to match the query.
  3. Statistics Addition: Instead of a qualitative conversation, quantitative statistics were included.
  4. Sources: Relevant citations have been added. Like quotes statistics
  5. Quotation Addition: Quotations from reliable sources have been included.
  6. Easy-to-understand: Simplified the language.
  7. Fluency Optimisation: Improved fluency.
  8. Unique Words: Used in the text whenever possible.
  9. Technical terms: Technical terms have been incorporated into the content.

The data set for search queries was obtained from Google, Microsoft Bing, and Perplexity. Sources include AI Discover, GPT-4, and others.

So, focus on creating detailed and comprehensive blogs or articles by defining the relation and highlighting the context for deeper meaning. Utilize the various formats for content creation to enrich information and diversify the learning perspective.

Also, update your content with the latest information and trends to maintain regular effectiveness and relevancy in the generative engines.

Conclusion:

In the end, Generative Engine Optimization (GEO) provides a more automated, scalable, and adaptive method of content creation and optimization than traditional Search Engine Optimization (SEO) approaches, which need manual and constant work for the optimization and ranking. Compared to traditional search engines, generative engines give instant and detailed personalized information to users’ queries for improved engagement.

Conventional SEO uses metrics like impression, session duration, and click-through rate (CTR), whereas GEO proposes new metrics to measure the relevance and visibility of citations within generative engine responses, making users eliminate the need to visit individual websites for information as it generates the responses on users queries from the reliable, relevant, and various sources.

AI-powered search optimization is still developing and becoming popular since most users and business owners are using generative AI as their source of information and improved visibility with universally applicable diverse content formats.

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How To Develop a Great Creative Brief and Get On-Target Content

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How To Develop a Great Creative Brief and Get On-Target Content

Every editor knows what it feels like to sit exasperated in front of the computer, screaming internally, “It would have been easier if I’d done it myself.”

If your role involves commissioning and approving content, you know that sinking feeling: Ten seconds into reviewing a piece, it’s obvious the creator hasn’t understood (or never bothered to listen to) a damn thing you told them. As you go deeper, your fingertips switch gears from polite tapping to a digital Riverdance as your annoyance spews onto the keyboard. We’ve all been there. It’s why we drink. Or do yoga. Or practice voodoo.

In truth, even your best writer, designer, or audiovisual content creator can turn in a bad job. Maybe they had an off day. Perhaps they rushed to meet a deadline. Or maybe they just didn’t understand the brief.

The first two excuses go to the content creator’s professionalism. You’re allowed to get grumpy about that. But if your content creator didn’t understand the brief, then you, as the editor, are at least partly to blame. 

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Taking the time to create a thorough but concise brief is the single greatest investment you can make in your work efficiency and sanity. The contrast in emotions when a perfectly constructed piece of content lands in your inbox could not be starker. It’s like the sun has burst through the clouds, someone has released a dozen white doves, and that orchestra that follows you around has started playing the lovely bit from Madame Butterfly — all at once.

Here’s what a good brief does:

  • It clearly and concisely sets out your expectations (so be specific).
  • It focuses the content creator’s mind on the areas of most importance.
  • It encourages the content creator to do a thorough job rather than an “it’ll-do” job.
  • It results in more accurate and more effective content (content that hits the mark).
  • It saves hours of unnecessary labor and stress in the editing process.
  • It can make all the difference between profit and loss.

Arming content creators with a thorough brief gives them the best possible chance of at least creating something fit for purpose — even if it’s not quite how you would have done it. Give them too little information, and there’s almost no hope they’ll deliver what you need.

On the flip side, overloading your content creators with more information than they need can be counterproductive. I know a writer who was given a 65-page sales deck to read as background for a 500-word blog post. Do that, and you risk several things happening:

  • It’s not worth the content creator’s time reading it, so they don’t.
  • Even if they do read it, you risk them missing out on the key points.
  • They’ll charge you a fortune because they’re losing money doing that amount of preparation.
  • They’re never going to work with you again.

There’s a balance to strike.

There’s a balance to be struck.

Knowing how to give useful and concise briefs is something I’ve learned the hard way over 20 years as a journalist and editor. What follows is some of what I’ve found works well. Some of this might read like I’m teaching grandma to suck eggs, but I’m surprised how many of these points often get forgotten.

Who is the client?

Provide your content creator with a half- or one-page summary of the business:

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  • Who it is
  • What it does
  • Whom it services
  • What its story is
  • Details about any relevant products and services

Include the elevator pitch and other key messaging so your content creator understands how the company positions itself and what kind of language to weave into the piece.

Who is the audience?

Include a paragraph or two about the intended audience. If a company has more than one audience (for example, a recruitment company might have job candidates and recruiters), then be specific. Even a sentence will do, but don’t leave your content creator guessing. They need to know who the content is for.

What needs to be known?

This is the bit where you tell your content creator what you want them to create. Be sure to include three things:

  • The purpose of the piece
  • The angle to lead with
  • The message the audience should leave with

I find it helps to provide links to relevant background information if you have it available, particularly if the information inspired or contributed to the content idea, rather than rely on content creators to find their own. It can be frustrating when their research doesn’t match or is inferior to your own.

How does the brand communicate?

Include any information the content creators need to ensure that they’re communicating in an authentic voice of the brand.

  • Tone of voice: The easiest way to provide guidance on tone of voice is to provide one or two examples that demonstrate it well. It’s much easier for your content creators to mimic a specific example they’ve seen, read, or heard than it is to interpret vague terms like “formal,” “casual,” or “informative but friendly.”
  • Style guide: Giving your content creator a style guide can save you a lot of tinkering. This is essential for visuals but also important for written content if you don’t want to spend a lot of time changing “%” to “percent” or uncapitalizing job titles. Summarize the key points or most common errors.
  • Examples: Examples aren’t just good for tone of voice; they’re also handy for layout and design to demonstrate how you expect a piece of content to be submitted. This is especially handy if your template includes social media posts, meta descriptions, and so on.

All the elements in a documented brief

Here are nine basic things every single brief requires:

  • Title: What are we calling this thing? (A working title is fine so that everyone knows how to refer to this project.)
  • Client: Who is it for, and what do they do?
  • Deadline: When is the final content due?
  • The brief itself: What is the angle, the message, and the editorial purpose of the content? Include here who the audience is.
  • Specifications: What is the word count, format, aspect ratio, or run time?
  • Submission: How and where should the content be filed? To whom?
  • Contact information: Who is the commissioning editor, the client (if appropriate), and the talent?
  • Resources: What blogging template, style guide, key messaging, access to image libraries, and other elements are required to create and deliver the content?
  • Fee: What is the agreed price/rate? Not everyone includes this in the brief, but it should be included if appropriate.

Depending on your business or the kind of content involved, you might have other important information to include here, too. Put it all in a template and make it the front page of your brief.

Prepare your briefs early

It’s entirely possible you’re reading this, screaming internally, “By the time I’ve done all that, I could have written the damn thing myself.”

But much of this information doesn’t change. Well in advance, you can document the background about a company, its audience, and how it speaks doesn’t change. You can pull all those resources into a one- or two-page document, add some high-quality previous examples, throw in the templates they’ll need, and bam! You’ve created a short, useful briefing package you can provide to any new content creator whenever it is needed. You can do this well ahead of time.

I expect these tips will save you a lot of internal screaming in the future. Not to mention drink, yoga, and voodoo.

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This is an update of a January 2019 CCO article.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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