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3 Tests Our Content Team Ran in 2021 & How They Impacted 2022 Planning

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3 Tests Our Content Team Ran in 2021 & How They Impacted 2022 Planning

2021 was a big year for the HubSpot content team.

Our team grew, we faced challenges, and we had some fun with experiments.

Experiments can teach you a lot about your audience and help you unlock growth opportunities. Here are some experiments we ran in 2021 and what we learned from them.

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Conversion Rate Optimization

In January 2021, the web strategy team decided to run a form optimization experiment to understand how altering our forms would affect our users, ahead of a blog redesign.

When evaluating the current form, the team found that it was breaking several best practices relating to user experience (UX). For instance, the form used asterisks when all fields were required and users were unable to tab through the fields, taking longer to go through the form.

This issue with the UX was further validated with high dropoff rates on offer pages. This meant that a secondary goal was clear: Improve the user experience of the forms on our content offer pages, which would then improve our conversion rate.

With every experiment comes a hypothesis and this one had two, one for each goal:

  • By redesigning the forms, we will learn the best approach to form design ahead of the blog redesign.
  • By optimizing content offer forms’ design and functionality, we will improve the user experience and increase user clarity, which will lead to an increase in content leads’ CVR.

When it came to designing the experiment, the team chose an A/B/C/D/E test, leading 20% of traffic to each of the five treatments:

  • 20% would see A, the control – a modal form.
  • 20% would see B – a redesigned, standard version of the form.
  • 20% would see C – the split-screen with a two-column form.
  • 20% would see D – the multi-step form.
  • 20% would see E – the split-screen with single-column form.

Wondering how they came up with these variants? User testing. Earlier in the year, the team had already gathered valuable insights from a user test, in which they learned about users’ preferences and expectations when using forms.

They used this data to design their experiment, something that Principal Marketing Manager at HubSpot Rebecca Hinton says highly contributed to their success.

The test ran on the top 20 converting offer pages and had to run for two weeks to get a reliable sample size for each variant and launched only 33% of traffic to mitigate risk to content lead goals. It ramped up to 60% of traffic during the experiment.

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The primary metric used in this experiment was the conversion rate on the content offer form submission and the second was engagement.

“What we found is that displaying a multi-step form vastly outperformed the other treatments we tested, showing a 20% improvement over the control,” said Hinton.

It’s worth noting that the winning variant, D, had a much higher conversion on mobile than it did on desktop. However, the multi-step form performed well on both device types.

“The multi-step form was so successful that we’ve decided to implement it ahead of the pages being redesigned, so we can capitalize on its strong performance,” said Hinton.

A key takeaway here is that one test can (and should) inform another. If you collect user data for a particular feature or project, make sure you keep good documentation as that can serve a purpose later on.

Channel Promotions

Back in June 2021, HubSpot community manager Jenni Kim, then marketing manager on the Channel Promotions team, ran an experiment to explore opportunities for cross-promotion between the YouTube team and the blog team.

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Kim described both channels as having an on-and-off relationship, crossing paths from time to time covering the same content and even collaborating at times. However, there was no consistency. This experiment would assess the value of embedding YouTube videos from HubSpot’s channel into relevant blog posts.

The hypothesis was that adding videos to blog posts would enhance the blog reader’s experience and drive meaningful growth for both channels.

Setting up this experiment required cross-collaboration between YouTube, Blog, and SEO teams to design a process while keeping in mind content lead goals, user reading experience, and SEO implications.

Now, let’s dive into the specifics.

One consideration they had to make was which YouTube videos would go and where. Here’s the breakdown they settled on:

  • Existing Blog Post + Existing YouTube Video (9 blog posts, 9 videos)
  • Existing Blog Post + New YouTube Video (6 blog posts, 3 videos)
  • New Blog Post + Existing YouTube Video (4 blog posts, 4 videos)
  • New Blog Post + New YouTube Video (5 blog posts, 3 videos)

They found that using existing blog posts and videos would offer the most clear results, as you could compare pre- and post-experiment metrics.

Key metrics:

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  • Total organic clicks (TOC) – The blog traffic coming in from the web results tab on Google
  • Total organic clicks from the video tab – The blog traffic coming in specifically from the video tab on the SERP.
  • Content leads/CVR – The number of viewers who converted through a blog post by signing up for an offer and the view-to-lead conversion rate on the blog on a post-level.
  • Organic video views – Videos that came directly from the blog post embed.

The experiment ran for roughly three months, as that would be enough time to measure the SEO impact.

The results found that embedding YouTube videos into relevant blog posts had a positive impact on both YouTube views, contributing 15% of total views. Leads and CVR stayed consistent, which is considered a win, as the experiment didn’t negatively impact conversion.

As for TOC from the video tab, an average of 8% of clicks came from this section – making it a solid SEO opportunity for both channels.

The most challenging part for Kim was the adaptability they needed to exercise to start this experiment.

“A lot of the teams were all working pretty independently,” said Kim, “So, we had to understand everyone’s processes and then try to find that middle point to bring everyone together.”

As a result of this experiment, both teams developed a sustainable collaborative process to help both teams generate more traffic.

Audience Growth

When it comes to blogging, one of the most important metrics is organic traffic. This refers to the non-paid traffic that comes from search engines.

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On the HubSpot Blog, the team also leverages non-organic content coming from sources like email, social media, and other websites.

Pamela Bump, senior marketing manager responsible for audience growth on the blog team, shares that the HubSpot Blogs already had incredible success from our non-organic content, creating clickable, shareable blog posts with original research, quotes from experts, and insights on industry trends.

“Not only did our non-organic program help to increase our non-search traffic, but we also were able to write posts that eventually began to rank on search because we were ahead of trends,” said Bump.

To capitalize on this success, Bump led an experiment to create hybrid posts, combining the shareability of non-organic content with the SEO of organic content.

“The goal of this experiment was to see if our blog posts could pull in the sudden bursts in traffic from non-search channels that non-organic blog posts achieve soon after publishing,” Bump said, “while also gaining more evergreen traffic over time search as these posts begin to rank on search result pages.”

She called this the “Hybrid Effect.”

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“These assignments were laid out by both myself and our SEO strategist and combined SEO elements, like keyword optimizations and search-driven formatting,” said Bump, “while still including non-organic elements like quotes from experts, original data, news mentions, and trend coverage.”

The result? In the first year of testing hybrid content, Bump says it has led to huge benefits for the blog, pulling in strong numbers comparable to organic traffic.

“The average views we get from hybrids in their first month is about 10% lower than that of non-organic piece,” said Bump. “However, it can be more than 30% higher than the first month’s traffic of a completely organic piece of content.”

In the long term, Bump says that the average hybrids and non-organic piece published in 2021 only had about a 1,000 to 2,000 view difference while gaining more keywords on average than a non-organic piece and gaining faster traffic than an organic piece in its first year.

Because of this success, the team has made the hybrid model a permanent strategy on the blog team.

“In 2022, we plan to increase our investment in hybrid content by 10% while also training writers on how to optimize organic pieces with non-organic elements for hybrid growth,” said Bump.

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In every experiment mentioned above, there’s something to learn – whether it’s the importance of collaboration or the value of historical data. If there’s an experiment you’ve been thinking of running, take this as your sign and use these insights to guide you.

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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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