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Analytics software delivers data, standards deliver insights

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Analytics software delivers data, standards deliver insights

Marketing teams have access to an unprecedented amount of data and customer insights, but too many aren’t actionable or useful. It may be fascinating that 40% of your customers come from Kansas, but how does that help your business?

Marketing teams need higher standards for what is considered an insight. AI is now deployed in analytics tools to surface insights faster than you can read them. Take a look at how Google Analytics does it.

Analytics software delivers data standards deliver insights

You can’t let analytics software tell you what an insight is. Only your team can determine that. Of course, the software can help, but the final decision is yours. If you don’t maintain standards, your team will eat the equivalent of “fast food” insights.

The rise of fast food insights

Fast food tastes great but has few nutrients. I love Popeyes and will go out of my way to get it every once in a while. However, I don’t pretend to make healthy choices when eating there. 

I work with marketing teams, and I see “fast food insights” all over the place. They report metrics they don’t care about, like pageviews, bounce rates, etc. They celebrate if their likes increase to an arbitrary target without considering the metric.

Insights need to drive behaviors. Do you change anything in your strategy if a metric goes up or down? If not, then why are you tracking it? It would be like checking the weather every day but deciding to wear whatever you want regardless of the forecast. 

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Like fast food, these kinds of insights can feel great.

I once worked with a marketing team that measured their agencies’ performance by pageviews. Their paid spend was directed at the channels that drove the most visits. There wasn’t enough discussion on what the users were doing once they landed on the website.

Your team needs to have a balanced diet. Fast food insights are fine every once in a while but not as your daily bread.

Fast food insights are also popular because they give the impression that someone is data-driven. Simply working with numbers can provide confidence to anyone. However, don’t let the means justify the ends. Data-driven is not about working with numbers but about driving meaningful results for the business through the help of data.


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What are your standards?

Take a second to think about what standards are enforced within your team. Many companies default to standards set externally. Their customers expected them to reply within a specific time frame or expect a certain price from their products. Investors expect specific revenue targets and goals.

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You need your own standards. I once worked with a consumer fitness company with 30 pages of stringent branding standards on the proper sizing of their logo and specific fonts that should be used.

As a result, all media that represented the brand was always consistent. Perhaps their standards were too rigid, but at least they knew what they wanted and weren’t willing to settle for less.

Great companies impose high standards on themselves. Think about Gucci for a second. Do you think they care about why people don’t buy their products? Unlikely. 

There are countless reasons why people don’t purchase their products. Instead, Gucci focuses on why people buy and how to get more of those customers. They don’t lower their standards, i.e., price. Instead, they raise them even further.

Raising your standards on insights

The data world is going through a fascinating change. For a long time, the issue was too much data. Then software and AI got better, and now the issue is too many insights. Creating standards for insights is the long-term solution.

When it comes to insights, the most important element is being able to explain its importance. In my first book, “The Data Mirage,” I discuss the WDIM or “What Does It Mean” question.

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WDIM is a simple reminder that every insight needs to have a believable explanation. For example, if 40% of your customers come from Kansas, what does that mean? Should you change your marketing to focus on that region? Is that good or bad? Are these the customers you want to be attracting?

WDIM starts to get to the heart of the issue. Raising the standard means that you won’t consider an insight until there is a clear WDIM attached to it. If someone is sharing an insight, ask for the WDIM. In slide decks and reports, WDIM should be the focus.

Discussing insights without WDIM is a waste of time. Over time, your definition of a good WDIM can increase. It might not be enough to raise a couple of good questions. You might be looking for strategic connections to the business or relevance to current campaigns. 

You can also think about imposing technical criteria on your insights. For example, I have helped companies impose minimum requirements such as:

  • Statistically valid
  • The pattern is seen over multiple days or weeks
  • Insight verified by two or more data sources
  • Builds on a new previous successful insight

If your team is just getting started with data insights, it still makes sense to enforce standards early. You don’t want to build a culture that believes in weak insights. Over the long term, it can hurt trust in the data. Why would anyone trust insights that haven’t proven helpful to the business?

For many teams, enforcing standards starts with your technical data people. They know the data in and out and are the first line of defense against vanity insights. For non-technical folks, you need to go through coaching on how to spot “fast food” insights. Basic training in probabilities and statistics helps work through the hype.


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

Who thinks youre customer driven you or your customers

Ruben Ugarte is the global expert in Decisions, Strategy, and Data and author of the Data Mirage and Bulletproof Decisions. He helps executives at the most innovative medium and large enterprises find their hidden treasures and use them to dramatically boost performance, increase profitability, and make their teams world-class. He has done this across five continents and in three languages. His ideas have helped hundreds of thousands of people make better decisions.

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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.

Get more advice from Chief Content Officer, a monthly publication for content leaders. Subscribe today to get it in your inbox.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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Quiet Quitting vs. Setting Healthy Boundaries: Where’s The Line?

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Quiet Quitting vs. Setting Healthy Boundaries: Where's The Line?

In the summer of 2022, we first started hearing buzz around a new term: “Quiet quitting“.

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