Google’s December 2024 Updates: Final Results via @sejournal, @martinibuster

Google launched two updates in December that rolled out in succession like waves carrying happy surfers to the beach and a tsunami to the unlucky few. Many SEOs who braced for SERP drama were met with a surprising impact.

Facebook Groups: The Update Was Good!

A common theme in Facebook and forum posts is that the Google Update had a positive effect that resulted in many sites hit by previous sites were returning to life all by themselves. One person reported that a number of their dormant affiliate sites suddenly awakened and were attracting traffic. Then there were some random SEOs taking credit for de-ranked client sites returning to the SERPs, leading me to wonder if they also take credit for their clients losing rankings in the first place…

Black Hat Response To Google’s Update

The forums on Black Hat World (BHW) generally provide an indicator of how much hurt Google’s updates are handing out. Some members of BHW forum were posting about how their sites were coming back.

One member posted:

“This new update is the first update in past years for my websites to grow 🙂 For now, traffic has increased 100%+ and keeps going up…”

Another one echoed that post:

“For me it is going good for 2 days. Hope not to be bad…”

A third member shared:

“My website ranking returned today after 9 months from March update. So seams the keywords and links showing again for first time since. I was affected by the march and thought it wouldn’t recover ever again hopefully this December update once finished rolling out my site won’t be removed again”

And yet another one shared a similar experience:

“My dead website is starting to pick up keywords on ahrefs, increasing impressions on search console, but still no major change regarding traffic.”

There was one outlier who shared that their financial site lost rankings likely due to having been built on expired domains (though it’s easy to imagine other reasons).

Among the celebratory sharing was this outlier post from someone whose glass is half empty:

“Lots of sites got tanked including 3 of mine.”

Overall there was a positive tone to the black hat forum members sharing their actual experiences with Google’s December updates. That fits the pattern of what was being shared in Facebook groups, that the December updates were bringing some sites back from whatever algorithm hits they suffered in previous updates.

Then There Is The X Response.

On X, every Google update announcement is met by a large amount of comments about how big brands are the winners, spam sites are dominating the SERPs (which contradicts the first complaint), and that Google is destroying small businesses. These kinds of commments have been around for decades, from before X/Twitter. The defining characteristic of these kinds of remarks are that they are general in nature and don’t reflect anything specific about the update, they’re just venting about Google.

The response to Google’s update announcement on X was predictably negative. I’m not being snarky when I say the responses are predictably negative, that’s literally the consistent tone for every update announcement that Google makes on X.

Representative posts:

Google is destroying small businesses:

“…How is it possible every update since September 23 has destroyed the traffic of small/medium publishers while boosting corp websites that put out top 10s trash content.”

Google updates consistently benefit Reddit:

“Just call it what it is: The Gift More Traffic to Reddit Update #94”

And the Google destroyed my business post:

“I used to work independently, writing blogs and earning a decent income. I even believed I would never need a traditional job in my life. But thanks to Google, which wiped out my websites one after another, I’m now left with no income, no motivation and no job. Thank you Google”

Again, I am not minimizing the experiences of the people making those posts. I am just pointing out that none of those posts reflect experiences specific to the December Google updates. They are general statements about Google’s algorithms.

There are some outliers who were posting that the update was big but the same people say that for every update. Although 2024 was a year of massive change, those outlier posts have been consistent from well before 2024. I don’t know what’s going on there.

Google’s Core Algorithm Update: What Happened?

It feels clear that Google dialed back something in the algorithm that was suppressing the rankings of many websites. It’s been my opinion that Google’s algorithms that determine if a site is “made for search engines” has been overly hard on expert sites by people whose poor understanding of SEO resulted in otherwise high quality sites laden with high traffic keywords, sometimes showing exact matches to keywords shown in People Also Asked. That, in my opinion results in a “made for search engines” kind of look. Could it be that Google tweaked that algorithm to be a little more forgiving of content spam just as it’s forgiving for link spam?

Something to consider is that this update was followed by an anti-spam update, which could be an improved classifier to catch the spam sites that may have been set loose by the core algorithm update, while leaving the expert sites in the search results.

What About 2025?

Google’s CEO recently stated that 2025 would be a year of major changes. If the two December updates are representative of what’s coming in the future it could be that the heralded changes may not be as harsh as the series of updates in 2024. We can hope, right?

Wikipedia And SEO: Everything You Need To Know via @sejournal, @MattGSouthern

Many people misunderstand how Wikipedia relates to SEO.

Wikipedia doesn’t provide direct SEO benefits like followed backlinks or promotional content. However, it’s a valuable resource for digital marketers and content creators.

This article examines how Wikipedia affects Google’s Knowledge Graph, provides keyword research guidance, supports content planning, and demonstrates effective internal linking practices.

Key topics include:

  • Wikipedia’s content guidelines and their impact on SEO.
  • The platform’s role in Google’s Knowledge Graph.
  • How to use Wikipedia for keyword research and content planning.
  • Lessons from Wikipedia’s internal linking structure.
  • Best ways to include Wikipedia in SEO strategies.

We will also explore how to add insights from Wikipedia into your SEO strategy without breaking its terms of use.

Wikipedia Guidelines & SEO

Wikipedia has strict rules about what content it allows.

These rules include being notable, maintaining a neutral point of view, being verifiable, and using reliable sources.

Following these rules is essential; otherwise, your content may be removed, and your account could be banned.

Many people mistakenly believe that creating a Wikipedia page for their business or adding links to their website will improve their search engine rankings.

However, Wikipedia doesn’t allow entries made for advertising purposes. Also, all external links are labeled as “nofollow,” which means they don’t help with SEO.

John Mueller, a Google Search Advocate, has stated:

“Randomly dropping a link into Wikipedia has no SEO value and will do nothing for your site. All you’re doing is creating extra work for the Wikipedia maintainers, who will remove your link drops. It’s a waste of your time and theirs.”

While you can’t use Wikipedia for direct SEO benefits, you can still find several ways to use the platform to support your overall SEO strategy.

Wikipedia’s Role In Google’s Knowledge Graph

Google’s Knowledge Graph is a system that understands facts and entities and how they relate. It was originally informed by Freebase and also the CIA World Factbook and Wikipedia.

The Knowledge Graph also informs Google Knowledge Panels, which display for known entities on the right hand side of SERPs.

For example, when you search for a historical figure like Leonardo da Vinci, the panel overviews da Vinci’s life, key facts, and related entities, with much of the information coming from Wikipedia.

Screenshot from Google, December 2024

One of the most powerful ways to use Wikipedia is to understand how Google connects different topics and entities.

This can help you when creating content to understand what entities are related to topics. And to optimize your content to align with how search engines interpret and display information, increasing your visibility in search results.

Using Wikipedia For Keyword Research

Keyword research is an integral part of SEO, and Wikipedia can help you find useful terms and phrases.

Subject experts often write Wikipedia articles, so they use specific language that your audience may use when searching for information.

For example, if you are writing about renewable energy, look at Wikipedia articles on solar, wind, and geothermal energy. These articles can help you find key terms to include.

Studying the language in these articles can improve your keyword strategy and ensure your content connects with your audience.

Wikipedia also provides valuable insights into how popular specific topics are. You can access traffic statistics that reveal how many users have visited a page.

If a topic has many page views, it shows a strong interest in that subject. You can use this information to choose which topics to focus on, helping you attract more organic traffic.

Wikipedia As A Content Planning Tool

Wikipedia is a goldmine of ideas and inspiration for content planning.

By looking at the citations, external links, and related pages in Wikipedia articles, you can find helpful information and potential topics for your website.

For example, suppose you have a blog about digital marketing and research “content marketing” on Wikipedia. In that case, you may discover links to articles about the history of content marketing, different content formats, and successful case studies.

These resources can inspire blog posts like “The Evolution of Content Marketing: From Print to Digital” or “10 Proven Content Formats to Engage Your Audience.”

Wikipedia can also help you find content gaps and topics that are not thoroughly covered in your field.

Look for stubs, short articles that lack detailed information, and pages with missing citations or broken links. These areas are good opportunities to create in-depth content that provides value to your audience.

By filling these gaps, you can attract more visitors and make your website a trusted resource in your industry.

Learning From Wikipedia’s Internal Linking Structure

Wikipedia’s internal linking structure is an excellent example of how to organize and connect related information. It links articles extensively, creating an easy-to-navigate web of knowledge.

You can learn effective ways to organize and connect your content by looking at how Wikipedia structures its content and links.

To create a clear information hierarchy, Wikipedia uses categories, subcategories, and hyperlinks.

For example, the “Search Engine Optimization” article falls under the category “Search Engines.” This structure helps users see how different topics relate to one another and makes navigation easier.

Similar principles can be used for your website to keep your content organized, easy to navigate, and connected.

Creating a clear structure and linking related pages improves the user experience and helps search engines understand your content’s context. This can enhance your search engine rankings and overall SEO performance.

Summary: Using Wikipedia As A Tool For SEO

Wikipedia may not directly affect search engine rankings, but it is an essential resource for your SEO strategy.

You can use Wikipedia’s wealth of information to improve your keyword research, content planning, and understanding of how information connects online.

Instead of trying to manipulate Wikipedia for quick SEO wins, use it as a tool for research and learning.

Use the insights you gain from Wikipedia for your website and content strategy.

More Resources:


Featured Image: Antlii/Shutterstock

7 Content Writing Trends For 2025 via @sejournal, @ronlieback

As the fourth industrial revolution continues to evolve, the ways we consume news, interact with brands, and market our products are radically shifting.

A key driver of this shift remains on the content we create – both written and visual – and how we leverage emerging technologies to engage, influence, and convert readers.

At the core of this evolution lies the concept of “information gain,” which directly affects how search engines like Google and ChatGPT Search, which uses Bing, measure the distinct value your content adds to the web.

It’s no longer enough (and never was!) to repackage what’s already out there; you must introduce new perspectives, fresh data, and original insights that genuinely improve user understanding.

From increasingly human-like AI to the continued rise of short-form video and the ever-present demands for authenticity, personal branding, and authoritative expertise, the art and science of content creation are changing rapidly.

Readers expect more than repetitive tips or generic advice – they want well-researched, credible guidance that breaks new ground from respected authors.

Ensuring your content delivers meaningful information gain translates into higher rankings, stronger audience trust, and sustainable engagement.

I’ll outline seven of the most critical content writing trends next year and discuss how you can seamlessly integrate them into your workflow.

These strategies aren’t about hollow predictions. They’re rooted in the lasting principles of SEO, digital marketing, and the proven techniques that help content win – even as search engines increasingly reward pages that provide truly unique value.

7 Content Writing Trends For 2025

1. The Rise (And Refinement) Of AI-Driven Content

AI-powered writing tools have matured significantly since their early hype years.

By now, search engines have become more adept at distinguishing thin AI-generated copy from content enriched by real-world expertise, editorial nuance, and original insights.

Google’s stance remains consistent: AI-generated content intended solely to manipulate rankings is spam, but the “appropriate use” of AI to assist writers is embraced.

To achieve genuine information gain, rely on AI to handle repetitive or data-heavy tasks, then layer in your unique voice, examples, and perspective.

This combination delivers a net-positive experience to the user, ensuring that the final piece isn’t just a regurgitation of common facts but a meaningful resource worth indexing and ranking.

See also: SEO Experts On Helpful Content: It’s Bigger Than You Think

2. Short-Form Video’s Dominance In Content Strategy

Video shorts on platforms like YouTube, Instagram, and TikTok have become cultural cornerstones. This doesn’t mean text-based content is obsolete.

Instead, written content and short videos now symbiotically support each other.

To enhance information gain, create short videos that visually unpack a data point or walk through a quick demonstration tied to your article’s topic.

Embedding these videos provides immediate, actionable insights that text alone may not deliver.

By next year, brands integrate short videos directly into their editorial calendars, helping convert casual scrollers into active site visitors and loyal subscribers who come back because they learn something new each time.

3. Influencer Marketing Matures Into Creator Partnerships

What began as influencer marketing, a term I despise, is now a full-fledged creator economy.

Thought leaders, niche experts, and micro-influencers command specialized audiences, and brands align with them for genuine storytelling – not just product placements.

Partnering with creators who have genuine expertise allows you to inject specialized knowledge and unique viewpoints into your content. This not only builds trust but also significantly boosts information gain.

Whether a co-authored article shedding new light on a complex subject or a brand-sponsored podcast hosted by an industry veteran sharing fresh data, these collaborations ensure readers encounter something they haven’t before.

See also: Utilizing Local Influencers For Digital Marketing Success

4. Podcasting Remains A Vital Content Touchpoint

Podcasting’s growth continues steadily.

More brands understand that while podcasts may not deliver old-school SEO links, they offer something equally important: brand recognition, thought leadership, and intimate connections with audiences.

Podcast episodes that feature interviews with subject-matter experts or reveal original research findings reinforce information gain.

Listeners gain insights not easily found elsewhere and show notes or transcripts can highlight new data points, case studies, or actionable frameworks.

By providing new information in multiple formats – audio and textual – you further enhance the user’s overall value experience.

I suggest incorporating podcasting into your thought leadership strategy when possible and partnering with podcasts whose audience fits your brand.

Podcasting is not right for every brand, but it can be great for influencers, CEOs, and content creators your brand is partnered with.

See also: Podcasts SEO: How To Make Your Podcast Rank

5. Authenticity, Personal Branding, And Experience Take Center Stage

Google’s E-E-A-T (experience, expertise, authoritativeness, trustworthiness) principles have become fully integrated into content evaluation.

Next year, the personal touch is everything. Highlighting author bios, personal anecdotes, case studies from real campaigns, and unique brand narratives drives readership.

I’ve witnessed clients’ rankings that directly translated into organic-driven revenue rise dramatically when I attached well-established author names to their blog content.

To maximize information gain, lean into first-hand knowledge. Instead of repeating common tips, share the results of your own experiments, uncommon use cases, or market data gleaned from your brand’s internal analytics.

This level of authenticity and fresh perspective transforms your content from generic filler into a must-read resource.

6. Data-Driven Insights & Advanced Tools For Competitive Edge

By now, advanced analytics tools like Google Analytics 4, Semrush, and Ahrefs are standard.

With machine learning fully integrated, these platforms deliver more than just raw data – they provide predictive insights and strategic recommendations.

This is your chance to uncover unique angles. Don’t just cite keyword difficulty or search volume; draw patterns, make forecasts, and offer context that readers won’t find elsewhere.

This elevates raw numbers into meaningful insights, thereby delivering true information gain and differentiating your content in a saturated marketplace.

See also: The Impact Of AI And Other Innovations On Data Storytelling

7. Page Experience And Integrated Conversions Remain Crucial

Seamless user experiences matter more than ever. Next year, technical SEO and UX optimizations aren’t optional; they’re non-negotiable.

Shoppable content, embedded forms, and customer relationship management (CRM) integration help drive conversions without friction.

But this also intersects with information gain. A page that’s easy to navigate and rich in structured data can surface the exact detail a user needs quickly, thereby improving the perceived value of the information you present.

When readers find what they’re looking for rapidly and also discover something they hadn’t considered, they’re more likely to return and trust your brand.

Key Takeaway: Embrace Information Gain For Sustainable Success

As the digital marketing continues to change, search engines – and users – are increasingly rewarding content that breaks new ground, offers fresh perspectives, and provides verifiable, unique value.

Simply rehashing existing knowledge or playing it safe with generic advice won’t cut it.

The strategies above highlight how emerging trends and technologies can empower you to produce content that stands out and thrives long-term.

By weaving together authenticity, specialized partnerships, first-hand insights, data-driven strategies, and cutting-edge formats, you ensure every piece of content offers tangible information gain.

This will not only please algorithms but also earn the ongoing trust and loyalty of your audience – key ingredients for sustained growth next year and beyond.

More Resources:


Featured Image: Prostock-studio/Shutterstock

This international surveillance project aims to protect wheat from deadly diseases

When Dave Hodson walked through wheat fields in Ethiopia in 2010, it seemed as if everything had been painted yellow. A rust fungus was in the process of infecting about one-third of the country’s wheat, and winds had carried its spores far and wide, coating everything in their path. “The fields were completely yellow. You’d walk through them and your clothes were just bright yellow,” he says.

Hodson, who was then at the UN’s Food and Agriculture Organization in Rome, had flown down to Ethiopia with colleagues to investigate the epidemic. But there was little that could be done: Though the authorities had some fungicides, by the time they realized what was happening, it was too late. Ethiopia, the biggest wheat-producing nation in sub-Saharan Africa, lost between 15% and 20% of its harvest that year. “Talking with farmers—they were just losing everything,” Hodson told MIT Technology Review. “And it’s just like, ‘Well, we should have been able to do more to help you.’”

Hodson, now aprincipal scientist at the international nonprofit CIMMYT, has since been working with colleagues on a plan to stop such losses in the future. Together with Maricelis Acevedo at Cornell University’s College of Agriculture and Life Sciences, he co-leads the Wheat Disease Early Warning Advisory System, known as Wheat DEWAS, an international initiative that brings together scientists from 23 organizations around the world.

The idea is to scale up a system to track wheat diseases and forecast potential outbreaks to governments and farmers in close to real time. In doing so, they hope to protect a crop that supplies about one-fifth of the world’s calories.

The effort could not be more timely. For as long as there’s been domesticated wheat (about 8,000 years), there has been harvest-devastating rust. Breeding efforts in the mid-20th century led to rust-resistant wheat strains that boosted crop yields, and rust epidemics receded in much of the world. But now, after decades, rusts are considered a reemerging disease in Europe. That’s due partly to climate change, because warmer conditions are more conducive to infection. Vulnerable regions including South Asia and Africa are also under threat.

Wheat DEWAS officially launched in 2023 with $7.3 million from the Bill & Melinda Gates Foundation (now called the Gates Foundation) and the UK’s Foreign, Commonwealth & Development Office. But an earlier incarnation of the system averted disaster in 2021, when another epidemic threatened Ethiopia’s wheat fields. Early field surveys by a local agricultural research team had picked up a new strain of yellow rust. The weather conditions were “super optimal” for the development of rust in the field, Hodson says, but the team’s early warning system meant that action was taken in good time—the government deployed fungicides quickly, and the farmers had a bumper wheat harvest. 

Wheat DEWAS works by scaling up and coordinating efforts and technologies across continents. At the ground level is surveillance—teams of local pathologistswho survey wheat fields, inputting data on smartphones. They gather information on which wheat varieties are growing and take photos and samples. The project is now developing a couple of apps, one of which will use AI to help identify diseases by analyzing photos.

Another arm of the system, based at the John Innes Centre in the UK, focuses on diagnostics. The group there, working with researchers at CIMMYT and the Ethiopian Institute of Agricultural Research, developed MARPLE (a loose acronym for “mobile and real-time plant disease”), which Hodson describes as a mini gene sequencer about the size of a cell phone. It can test wheat samples for the rust fungus locally and provide a result within two to three days, whereas conventional diagnostics need months.

 “The beauty of it is you could pick up something new very quickly,” says Hodson. “And it’s often the new things that give the biggest problems.”

The data from the field is sent directly to a team at the Global Rust Reference Center at Aarhus University in Denmark, which combines everything into one huge database. Enabling nations and globally scattered groups to share an infrastructure is key, says Aarhus’s Jens Grønbech Hansen, who leads the data management package for Wheat DEWAS. Without collaborating and harmonizing data, he says, “technology won’t solve these problems all on its own.”

“We build up trust so that by combining the data, we can benefit from a bigger picture and see patterns we couldn’t see when it was all fragmented,” Hansen says.

Their automated system sends data to Chris Gilligan, who leads the modeling arm of Wheat DEWAS at the University of Cambridge. With his team, he works with the UK’s Met Office, using their supercomputer to model how the fungal spores at a given site might spread under specific weather conditions and what the risk is of their landing, germinating, and infecting other areas. The team drew on previous models, including work on the ash plume from the eruption of the Icelandic volcano Eyjafjallajökull, which caused havoc in Europe in 2010.

Each day, a downloadable bulletin is posted online with a seven-day forecast. Additional alerts or advisories are also sent out. Information is then disseminated from governments or national authorities to farmers. For example, in Ethiopia, immediate risks are conveyed to farmers by SMS text messaging. Crucially, if there’s likely to be a problem, the alerts offer time to respond. “You’ve got, in effect, three weeks’ grace,” says Gilligan. That is, growers may know of the risk up to a week ahead of time, enabling them to take action as the spores are landing and causing infections.

The project is currently focused on eight countries: Ethiopia, Kenya, Tanzania, and Zambia in Africa and Nepal, Pakistan, Bangladesh, and Bhutan in Asia. But the researchers hope they will get additional funding to carry the project on beyond 2026 and, ideally, to extend it in a variety of ways, including the addition of more countries. 

Gilligan says the technology may be potentially transferable to other wheat diseases, and other crops—like rice—that are also affected by weather-­dispersed pathogens.

Dagmar Hanold, a plant pathologist at the University of Adelaide who is not involved in the project, describes it as “vital work for global agriculture.”

“Cereals, including wheat, are vital staples for people and animals worldwide,” Hanold says. Although programs have been set up to breed more pathogen-­resistant crops, new pathogen strains emerge frequently. And if these combine and swap genes, she warns, they could become “even more ­aggressive.”

Shaoni Bhattacharya is a freelance writer and editor based in London.

New Ecommerce Tools: December 26, 2024

We publish a rundown each week of new products from companies offering services to ecommerce merchants. This installment includes updates on return solutions, pay-over-time services, first-order discounts, China-based sales, CPQ pricing, virtual try-ons, and more.

Got an ecommerce product release? Email releases@practicalecommerce.com.

New Tools for Merchants

Swap launches AI-powered returns solution for DTC brands on Shopify. Swap, a shipping and packaging system for direct-to-consumer brands, has launched an AI-powered feature to streamline return operations for Shopify stores. Swap states it is an “ecommerce operating system” that can improve brands’ shipping, tracking, package protection, and returns, including cross-border.

Home page of Swap

Swap

WooCommerce designates Affirm as a leading pay-over-time provider. WooCommerce has selected Affirm as a leading pay-over-time provider, making Affirm a default payment service for the platform. Merchants using WooCommerce’s integrated payment solution, WooPayments, can offer Affirm’s customized pay-over-time plans at checkout. Eligible merchants can also access Affirm’s Pay-in-30 offering. This addition will enable merchants to offer Affirm across a wider range of transactions, making flexible payment plans available to more shoppers.

Google Merchant Center adds first-order discount option for retailers. Google has launched a feature in Merchant Center that enables retailers to offer discounts to new customers. Merchants can now configure targeted promotions specifically for first-time buyers through their Merchant Center accounts. The new discount type appears as a selectable option under the “Promotion conditions” section when creating promotional offers. The implementation allows retailers to specify percentage-based discounts exclusively for new customers making their initial purchases.

Walmart partners with Meituan to bolster China-based ecommerce unit. Walmart has teamed with China’s Meituan, a shopping and delivery platform, where Meituan will provide local delivery service for Walmart products and begin featuring the retail giant on its app. In a WeChat post, Walmart’s China unit stated that the collaboration will bolster its ecommerce efforts, which makes up close to half its sales in that country. The partnership comes approximately four months after Walmart sold its stake in JD.com.

Home page of Meituan

Meituan

DealHub introduces API-first CPQ to deliver automated headless quoting. DealHub.io, an enterprise-grade configure-price-quote platform, has released its API-first, headless quoting architecture. The new quoting environment supports automation across all sales channels, including ecommerce and self-service portals. The headless environment provides a composable and modular architecture that can be seamlessly integrated with revenue applications and custom user interfaces.

Bell Media and Shopsense AI bring curated shoppable TV to Canadian viewers. Bell Media, a Canada-based media and entertainment company, has partnered with Shopsense AI, a provider of shoppable TV technology, to bring shopping experiences to Canadian viewers. The partnership will debut on daily shows “The Good Stuff with Mary Berg” and “Etalk.” Brands can sponsor experiences during pivotal moments on those shows and across social media, with a reach of over 1.5 million followers.

ReturnGo enhances post-purchase solutions with Easyship. ReturnGo, a provider of post-purchase tools, has partnered with Easyship, a shipping software provider. As part of this initiative, ReturnGo has launched “LabelGo,” which offers merchants discounted shipping labels from more than 550 global couriers. “Ship by ReturnGo” enables merchants to generate shipping labels directly from the ReturnGo platform. “Return Coverage Revenue Share Model” lets merchants use ReturnGO software at no cost, participating in a revenue share model based on profits from return coverage.

Home page of ReturnGo

ReturnGo

Fabric debuts AI order management system. Fabric, an order management platform, has introduced its new AI agent. “Fabric AI Order Cloud” provides retailers with a centralized system for managing their orders, inventory, and fulfillment across multiple channels. According to Fabric, the AI-driven OMS delivers real-time data analysis, trend detection, and intelligent recommendations. Retailers can improve omnichannel shopping experiences with AI-enriched product information connected to real-time inventory to enhance product discovery, search engine visibility, site search, and conversions.

CallRail broadens attribution capabilities to include AI-powered search engines. CallRail, an AI-powered lead intelligence platform, has launched new capabilities to enable businesses to track and attribute unique traffic from AI-generated search engines, providing a more complete and accurate understanding of lead generation efforts. This new functionality allows businesses to track leads from sources such as ChatGPT, SearchGPT, Perplexity, and Gemini — ensuring that every lead is accounted for.

Worldline payment platform launches FlexPricing. Worldline, a provider of payment services, has launched FlexPricing for independent software vendors. With FlexPricing, software providers can implement various price strategies, including charging a percentage fee on bank transfer transactions, adding custom fees, and letting Worldline take on their billing duties. According to Worldline, FlexPricing empowers companies to enhance revenue models and optimize the billing experience. FlexPricing is available for current and prospective partners on the Worldline North America ecommerce platform.

Perfect Corp’s generative AI APIs driver virtual try-on and AI image enhancement. Perfect Corp., a developer of AI and AR beauty technology, has launched its AI APIs, a comprehensive suite of pre-built beauty and image-processing technologies. Developers can use generative AI to create images directly from text prompts, add color, enhance clarity, remove objects or backgrounds, and more. Perfect says its new APIs integrate into websites, ecommerce platforms, and mobile apps.

Perfect Corp home page

Perfect Corp

Major Outage Hits OpenAI ChatGPT via @sejournal, @martinibuster

ChatGPT Search is down for users worldwide, becoming unresponsive at approximately 11 AM EST. Down detectors and reports on social media reflect that many users cannot access the site. OpenAI is reporting a major outage.

Major Outage At OpenAI

OpenAI is reporting a major outage is hitting it’s ChatGPT, API, and SORA services. The issue is described by OpenAI as caused by an upstream provider. Upstream provider is a vague description that can be compute-related on Microsoft’s side or a network related service.

Screenshot Of  Official ChatGPT Outage Status

OpenAI Sora Is Only Partially Affected

The major outage has hit both ChatGPT and the API but OpenAI’s Sora service is only partially affected.

Screenshot Shows Severity Of Outage

The major outage has hit both ChatGPT and the API but OpenAI’s Sora service is only partially affected.

The outage began by at least 11 AM and the problem was identified 18 minutes later. OpenAI continues to work on a solution an hour later.

This is a developing event and this article will be updated as more information becomes available.

Featured Image by Shutterstock/Tithi Luadthong

Revolutionizing Marketing: The Rise Of Situational Content Strategies via @sejournal, @Juxtacognition

Content marketing is experiencing a paradigm shift.

For decades, marketers have relied on the traditional funnel – a linear model designed to move consumers from awareness to action. But, as consumer behavior evolves, so must the strategies that guide them.

The rigid structure of the traditional funnel no longer aligns with the complexities of modern decision-making.

Enter situational content marketing – a dynamic approach that recognizes the nuances of consumer contexts and tailors content to specific moments within their journey.

This method doesn’t just target audience segments based on demographics or personas. It considers the situations consumers find themselves in, the decisions they need to make, and the triggers influencing those decisions.

The result?

A more adaptive, empathetic, and impactful content strategy that resonates with audiences in real-time.

The Evolution Of The Marketing Funnel: The Rise Of Situational Targeting

Traditional marketing funnels rely on broad audience segmentation – grouping individuals by demographic or psychographic traits and attempting to guide them through predefined stages: awareness, interest, decision, and action (AIDA).

However, this static model assumes that all individuals in a segment behave uniformly and progress linearly.

The reality is far more nuanced.

Consumer journeys are shaped by their immediate circumstances:

  • Are they in a hurry, or do they have time to research?
  • Are they making a routine purchase or evaluating a significant investment?
  • Are external factors like social influence or emotional states affecting their choices?

Recognizing these factors, situational content marketing shifts the focus from targeting broad audience types to addressing specific contexts within the funnel.

This strategy allows brands to engage consumers with content that aligns with their immediate needs, emotions, and priorities.

Read More: What Is A Conversion Funnel? Optimize Your Customer Journey

High-Effort Vs. Low-Effort Purchases

A cornerstone of situational content marketing is understanding the effort a consumer is willing to invest in a decision.

Purchases fall along a continuum:

  • High-effort purchases require significant cognitive, emotional, and time investment. These include major financial or lifestyle decisions like buying a car, choosing a college, or purchasing a home.
  • Low-effort purchases are quick, habitual, or impulsive, involving minimal thought or research. Examples include grabbing a candy bar, choosing a subscription service, or buying a soft drink at a convenience store.

This distinction influences the type of content required to guide consumers.

High-effort decisions demand detailed, trust-building content, while low-effort decisions benefit from simple, emotionally engaging messages.

Rethinking The AIDA Funnel: The Reality Of Consumer Behavior

The traditional AIDA model suggests that marketing moves consumers through a sequential process:

  • Awareness: Capturing attention with ads or promotions.
  • Interest: Engaging the audience with content or messaging.
  • Decision: Influencing choices through comparisons or benefits.
  • Action: Driving conversions through compelling calls to action.

Limitations Of The Traditional Funnel

Unfortunately, the AIDA model doesn’t account for the dynamic and situational nature of modern decision-making.

Instead of progressing step-by-step, consumers:

  • Combine new information with pre-existing mental databanks.
  • Use shortcuts (heuristics) to simplify decisions in overwhelming or high-choice environments.
  • Respond to external triggers, such as ads or social recommendations, that bypass some funnel stages entirely.

The Complex Reality Of Consumer Journeys

Instead of following a clear progression, consumers often take fragmented paths influenced by their unique situations and prior knowledge.

Key behaviors that disrupt the AIDA framework include:

  • Skipping Stages: A consumer might move directly from awareness to action if they encounter a strong emotional trigger or social proof.
    • Example: A social media ad for a trending product might lead to an impulse purchase without requiring further engagement or research.
  • Looping Back: Consumers may revisit earlier stages, such as moving from decision-making back to interest as they seek additional information or alternatives.
    • Example: A potential buyer researching laptops might decide on a brand and then return to exploring reviews after discovering a competitor’s offer.
  • Blending Stages: Awareness, interest, and decision-making often happen simultaneously as consumers interact with multiple touchpoints.
    • Example: A targeted Instagram ad may simultaneously capture attention, spark interest, and showcase key benefits, collapsing multiple AIDA stages into one interaction.

Situational Content Marketing: A Fluid Alternative

In contrast to the rigid AIDA model, situational content marketing aligns with the fluid, dynamic nature of consumer journeys.

This approach acknowledges that decision-making is rarely sequential; it is situational and influenced by context, timing, and triggers.

Mental databanks act as the foundation for choices, pulling in impressions and associations from past experiences. Each interaction is an opportunity to build or strengthen these databanks, making the brand more memorable and accessible.

Instead of methodically weighing options at each stage, individuals rely on mental shortcuts shaped by numerous factors, including:

  • Prior Experiences: Positive interactions with a brand, product, service, or experience can solidify loyalty and trust.
  • Emotional Triggers: Nostalgia, humor, memories, or fear can drive decisions without detailed deliberation.
  • Environmental And Social Factors: Recommendations from friends or influencers, the opinions, values, and morals of a society, and other external factors can heavily influence choices.

These factors create a mental databank of brand impressions and associations that consumers draw upon when making decisions.

What Are Mental Consumer Databanks?

Mental consumer databanks are what I call the wide range of information, behaviors, attitudes, judgments, and experiences stored by a consumer that are relevant to a buyer journey, including:

Emotional Associations

Consumers often tie products and brands to memories, feelings, or experiences.

Emotional connections are powerful because they create deep, lasting impressions that don’t require logical reinforcement.

Example: A favorite chocolate bar may evoke nostalgia for childhood or comfort during stressful moments.

Brand Impressions

Consistency in positive experiences builds strong brand impressions over time.

Positive impressions ensure a brand becomes synonymous with certain qualities, making it an easy choice during decision-making.

Example: Tesla is often associated with innovation, sustainability, and cutting-edge technology due to its consistent branding and messaging.

Social Identity

Brands often act as signals of group membership or personal values.

Consumers align with brands that reflect their desired self-image or societal affiliations.

Example: Wearing a Rolex conveys sophistication and success, while using a reusable water bottle might signal environmental consciousness.

How Mental Databanks Influence Recall And Decisions

Consumers don’t start from scratch when they encounter a need or situation that prompts a decision.

Instead, they draw on their mental databanks to identify familiar brands and options. Several key factors influence this process:

  • Habitual Recall: Familiarity breeds preference. Consumers are more likely to recall and choose brands they’ve interacted with regularly.
    • Example: A shopper craving chocolate automatically reaches for a Mars bar because it’s a habitual choice, even if there are new or similar options available.
  • Preference Formation: Past experiences and comparisons shape preferences. Over time, these preferences dominate decision-making.
    • Example. A consumer who consistently chooses Apple products because of their reliability may skip evaluating competitors entirely when upgrading their phone.
  • Memory-Based Connections: Mental databanks link brands to broader networks of concepts, enhancing recall speed and confidence.
    • Example: Coca-Cola might be linked to happiness, holidays, or refreshing moments, making it the first brand a consumer considers when thinking about soft drinks.
  • Social And Situational Triggers: External cues, such as group behavior or advertising, can activate mental databanks, prompting recall.
    • Example: Seeing an influencer wear a particular sneaker brand might remind a consumer of their own desire to belong to that social group, leading to a purchase.

Building And Strengthening Mental Databanks

Brands that consistently reinforce positive associations are more likely to occupy a strong position in consumers’ mental databanks.

Here’s how:

  • Emotional Storytelling: Craft narratives that evoke emotions and create memorable connections.
    • Example: A pet food brand shares real stories of rescued animals thriving after being fed its products, tying its brand to compassion and care.
  • Consistent Brand Messaging: Maintain a uniform tone, imagery, and message across all platforms and campaigns.
    • Example: Nike consistently reinforces its “Just Do It” mantra, linking the brand to motivation and achievement.
  • Repetition With Variation: Regular exposure to a brand strengthens recall, but variation keeps it engaging.
    • Example: A beverage company creates multiple ads around the theme of “refreshment” but tailors each to a specific situation, like a summer picnic or a post-workout moment.
  • Social Proof: Use testimonials, reviews, and endorsements to build trust and credibility.
    • Example. A software company highlights customer success stories, showing how its product solves specific problems.
  • Category Dominance: Ensure the brand becomes synonymous with a product category by consistently outperforming competitors in visibility and messaging.
    • Example: Google’s consistent dominance in search engines has made its name interchangeable with the act of searching online (“to Google”).

Mental Databanks In Action

Wrong Approach

Scenario: The same agency runs a generic ad saying, “Get the best SEO services here.”

Outcome: Without addressing the specific needs or context of ecommerce businesses, the ad fails to resonate.

The lack of tailored messaging means the agency doesn’t establish a strong position in the mental databank of potential clients, making them less likely to be recalled during decision-making.

Right Approach

Scenario: A digital marketing agency wants to be the go-to choice for ecommerce businesses looking for SEO services.

Strategy:

  • Use targeted ads that highlight specific pain points, such as “Boost your holiday sales with tailored SEO strategies.”
  • Leverage search and display ads on platforms like Google Ads to ensure visibility when users search for terms like “ecommerce SEO help” or “SEO for online stores.”
  • Reinforce the message by running retargeting campaigns with testimonials or case studies that showcase results (e.g., “See how we increased XYZ Store’s traffic by 150% in 3 months”).
  • Build situational relevance by timing ads during peak planning periods, such as before major shopping seasons or when Google algorithm updates are announced.

Why Mental Databanks Are Essential For Situational Content

  • Improved Recall: Consumers are more likely to recall brands that occupy a strong position in their mental databanks when facing decisions.
  • Reduced Decision Fatigue: Familiarity reduces the cognitive load of decision-making, making consumers more likely to choose a brand they know well. For example, a busy parent will use Cheerios for their child’s breakfast without comparing it to other cereals because it’s a trusted choice.
  • Enhanced Emotional Engagement: Brands tied to positive emotions or memories are more likely to generate repeat purchases. This is why Coke releases holiday ads each year. They reinforce happiness and nostalgia, prompting loyal purchases during the festive season.

Maximizing The Impact Of Situational Triggers

Effectively leveraging situational triggers requires marketers to tailor their strategies based on the decision-making context, consumer behavior, and external influences.

By incorporating insights into how and why people make choices, brands can craft campaigns that resonate deeply and drive action.

1. Analyze The Decision Context

High-Effort Decisions: Provide detailed, logical, and emotionally compelling content that addresses the consumer’s need for thorough research and justification.

Tactics:

  • Use in-depth resources like whitepapers, detailed case studies, or comparison charts.
  • Highlight long-term benefits, such as cost savings, increased efficiency, or alignment with values like sustainability.
  • To empower informed decision-making, provide interactive tools like ROI calculators or product demos.

Example: A SaaS company offers a downloadable ebook titled, “How to Choose the Right CRM for Your Business,” comparing features, costs, and user reviews.

Low-Effort Decisions: Focus on convenience, simplicity, and immediate gratification to capture impulse purchases or habitual behaviors.

Tactics:

  • Leverage quick calls-to-action, such as “Sign Up in Seconds” or “Try Free Today.”
  • Position products as easily accessible, with minimal effort required to get started.
  • Use repetition and visual cues to reinforce brand familiarity.

Example: A subscription box service runs ads with, “Start Your First Box for Only $5 – No Commitment,” simplifying the decision.

2. Leverage Emotional And Cognitive Factors

Human decisions are rarely purely rational. Emotional and cognitive elements, such as trust, nostalgia, and perceived value, play a critical role.

Emotional Factors:

  • Build Trust: Highlight endorsements from trusted figures, such as industry experts or well-known influencers. Use real testimonials to build credibility and authenticity.
  • Evoke Nostalgia: Incorporate imagery or messaging that taps into positive past experiences.
  • Utilize Emotional Contagion: Align your brand with trending movements or shared cultural values. For example, a fitness platform connects its messaging to self-improvement trends with, “Achieve More Every Day with Our All-in-One Tracker.”

Cognitive Factors:

  • Simplify Information: Use short, clear messages that are easy to recall. Present information in lists, mnemonics, or frequently repeated formats for memorability.
  • Enhance Perceived Value: Highlight the benefits in direct comparisons to competitors. For example, a hosting provider might advertise, “Faster Speeds, Unlimited Bandwidth – 30% Cheaper than the Competition.”

3. Emphasize Relevance

Relevance is one of the most critical factors in capturing consumer attention and aligning with situational triggers. Ads and content should feel timely, personal, and well-placed.

Timing

Serve ads during key decision-making moments or leverage real-time data to align with situational needs.

Example: A coffee delivery service offers geo-targeted promotions during morning rush hours.

Placement

Ensure your ads appear where consumers most likely need or notice them. Or, use contextual relevance to align with immediate consumer behavior.

Example: An ecommerce platform runs retargeting ads for abandoned cart items during payday periods.

Personalization

Tailor messaging to specific audiences based on their behaviors, demographics, and locations.

Example: A digital marketing agency might create dynamic ads targeting ecommerce businesses during Black Friday with messages like, “Optimize Your Campaigns in Time for the Big Sale.”

4. Build And Reinforce Mental Databanks

Effective use of situational triggers strengthens a brand’s position in the consumer’s mental databank.

Once your brand occupies a dominant position, it’s more likely to be recalled during decision-making moments.

  • Repetition: Repeat key messages across channels while maintaining consistency in tone and visuals.
  • Association: Pair your brand with positive emotions or aspirational goals. Use evaluative conditioning to link your product with other trusted or well-known elements.
  • Social Proof: Display testimonials, user reviews, or real-time activity.

5. Engage Consumers Across Stages

Situational triggers can vary throughout the buying journey. Marketers should align their strategies with the various stages while maintaining situational relevance.

  • Awareness: Capture attention with emotional, engaging content. Here, we might create a PPC ad for a graphic design tool that uses humor and vibrant visuals to stand out in crowded feeds.
  • Mental Databank Building: Provide informational content that builds trust and showcases benefits. For this stage, we’d recommend that a webinar platform offers a video guide, “5 Steps to Increase Your Virtual Event Attendance,” for businesses exploring new solutions.
  • Buying Decision: Highlight urgency and ease of adoption to nudge consumers. A prime example of this would be a direct email that says, “Sign Up Today and Get 3 Months Free – Limited Offer.”
  • The Purchase: Remove friction by simplifying processes. Here, for example, the message above the conversion (sign-up form) might be, “Start Your Free Trial in Under 60 Seconds.”

Practical Applications Of Situational Content

The success of situational content marketing hinges on its ability to respond dynamically to consumer behaviors, needs, and external contexts.

Here are some key practical applications and provide actionable tips to maximize the impact of your situational content.

1. AI-Driven Personalization

Using artificial intelligence (AI) and machine learning, brands can analyze consumer behavior, preferences, and location to deliver hyper-personalized messages in real-time.

AI tools analyze browsing history, past purchases, and engagement patterns to predict what a consumer is likely to want or need next.

Recommendations, dynamic ads, and email campaigns are tailored to the individual consumer’s behavior or preferences.

Tips For Implementation

  • Use AI to create product recommendations that reflect a user’s recent interactions with your site or app.
  • Employ personalized email campaigns triggered by specific actions, such as abandoned carts or product views.

Examples

  • Wrong Approach: The same platform sends a generic email blast promoting unrelated products, which fails to engage the consumer based on their unique behavior.
  • Right Approach: An ecommerce platform uses AI to send a personalized email saying, “You left this in your cart!” with a discount code, increasing the likelihood of purchase.

Pro Tip: Combine AI personalization with location-based targeting to deliver even more relevant content. For example, promote rain gear to users in regions experiencing bad weather.

2. Dynamic Messaging

Dynamic messaging allows content to adapt in real-time to external factors like weather, trending topics, time of day, or even breaking news.

It ensures that marketing messages remain timely and resonate with the consumer’s immediate environment.

Dynamic ads adjust text, visuals, or offers based on triggers like location, time, or current events. Social media and display ads are updated to reflect relevant, real-time events.

Tips For Implementation

  • Create ads that adapt to weather patterns. For example, promote warm drinks during cold weather or sunscreen during a heatwave.
  • Use trending hashtags or cultural moments to tailor your messaging for relevancy.
  • Update homepage banners or promotional content based on calendar events, such as holidays or major industry conferences.

Examples:

  • Wrong Approach: The same service uses generic messaging like, “Order now!” that doesn’t reflect the immediate weather conditions or consumer needs.
  • Right Approach: A food delivery service runs geo-targeted ads that say, “Craving something warm? Get 20% off soup deliveries during today’s snowstorm.”

Pro Tip: Monitor consumer sentiment around trending events to ensure your messaging aligns with the mood and tone of your audience.

3. Lifecycle Strategies

Tailoring content to match the consumer’s position in the customer journey, from initial discovery to post-purchase retention, ensures relevance and nurtures long-term relationships.

Map out the stages of the customer journey: awareness, education/information gathering, consideration, decision, and loyalty.

Then, align messaging, offers, and content types to each stage, addressing specific needs or pain points.

Tips For Implementation

  • Awareness Stage: Create engaging, informative content to introduce your brand and attract new audiences. Focus on content that builds brand visibility and educates potential customers about their problems.
    • Examples: Blog posts, social media campaigns, SEO-optimized articles, or short-form video content (e.g., TikToks or Reels).
  • Education/Information Gathering Stage: Provide content that educates your audience and helps them understand potential solutions. Focus on addressing common questions or misconceptions.
    • Examples: Educational webinars, ebooks, guides, and detailed FAQ pages that position your brand as a thought leader.
  • Consideration Stage: Offer comparative resources that help prospects evaluate their options and understand how your product or service stands out. Emphasize credibility and value.
    • Examples: Case studies, video tutorials, product demos, and side-by-side feature comparisons.
  • Decision Stage: Encourage conversions with content that reduces risk and creates urgency. Highlight why your offering is the best choice and provide incentives to act.
    • Examples: Limited-time offers, customer testimonials, free trials, or discount codes.
  • Loyalty Stage: Focus on retaining customers and fostering long-term relationships. Deliver content that rewards loyalty, introduces additional offerings, and keeps your brand top-of-mind.
    • Examples: Personalized rewards, upsell opportunities, exclusive offers, and invitations to community events or feedback surveys.

Examples

  • Wrong Approach: The same platform uses a single, generic campaign across all stages, offering no differentiation between audiences. This fails to meet specific needs, leading to disengagement and missed opportunities.
  • Right Approach: A project management software platform creates content tailored to each stage:
    • Awareness: Blog articles like “Top 10 Project Management Challenges (and How to Solve Them).”
    • Education/Information Gathering: A free webinar titled, “How to Streamline Your Workflows with Modern Tools.”
    • Consideration: A downloadable comparison chart showing how their platform stacks up against competitors.
    • Decision: A limited-time offer of “50% Off Your First 3 Months” for trial users.
    • Loyalty: Regular newsletters highlighting new features and exclusive discounts for annual renewals.

Pro Tip: Use automated workflows to trigger lifecycle-specific messaging at the right time. For example, send a “How-to” email series for new users and a renewal reminder with perks for long-term customers.

4. Retargeting Based On Consumer Behavior

Retargeting uses tracking data to re-engage consumers who have interacted with your brand but haven’t converted yet. It’s particularly effective for aligning situational content with high-intent audiences.

Display ads or email campaigns are triggered based on behaviors like abandoned carts, product views, or site visits. Dynamic retargeting serves ads featuring the exact products or services the consumer explored.

Tips For Implementation

  • Offer exclusive discounts or limited-time offers in retargeting ads to create urgency.
  • Showcase customer reviews or testimonials to address lingering concerns.

Examples

  • Wrong Approach: The same retailer runs retargeting ads featuring unrelated equipment, missing the opportunity to personalize.
  • Right Approach: A fitness equipment retailer retargets users who viewed a treadmill with ads featuring a discount and testimonials from satisfied customers.

Pro Tip: Use retargeting not just for abandoned carts but also for upselling or cross-selling related products to existing customers.

5. Context-Aware Content Placement

Placing content in environments where it feels natural and relevant enhances consumer engagement and reduces the likelihood of being ignored.

Identify consumer habits and behaviors to determine the best platforms and moments to engage them. Use tools like heatmaps, traffic data, and social listening to pinpoint where and when your audience is most active.

Serve ads on platforms where your target audience spends the most time. Use platform-specific features, such as Instagram Stories or LinkedIn carousel ads, to tailor your message.

Examples

  • Wrong Approach: The same agency runs generic ads on a gaming website, where their target audience is unlikely to engage.
  • Right Approach: A digital marketing agency uses LinkedIn ads to promote a whitepaper about SEO strategies for businesses targeting B2B audiences.

Pro Tip: Match the tone and format of your content to the platform. Professional content performs better on LinkedIn, while visually engaging content thrives on Instagram.

The Future Of Funnels: From Funnels To Ecosystems

The traditional marketing funnel is being transformed. In a world where consumer behavior is more fragmented and situational than ever, marketers are reimagining this framework into something more fluid, adaptable, and human-centric.

The future of content marketing recognizes that consumers don’t follow predictable paths. Instead, they jump between stages, influenced by shifting priorities, real-time needs, and external triggers.

Rather than moving consumers step-by-step through awareness, consideration, and decision, the funnel is evolving into an ecosystem – a dynamic model that recognizes the interconnected and iterative nature of consumer behavior.

Success is no longer defined by immediate conversion. The goal is to create value at every stage of the journey, building relationships that transcend individual transactions.

As we enter 2025, marketers must embrace flexibility, leveraging technology and empathy to adapt to the complexities of real-world consumer behavior.

More Resources:


Featured Image: Jack_the_sparrow/Shutterstock

Why Making A Good YouTube Video Is Hard (For Businesses) via @sejournal, @BennyJamminS

There are tons of reasons you want to be on YouTube, building an audience, and getting discovered in the YouTube algorithm.

YouTube is the second most popular website in the world, and YouTube videos can appear in Google Search results. This makes a YouTube presence a combined social media and SEO strategy. Entire businesses can be built on YouTube.

But, most YouTube videos suck.

Maybe “suck” is an unkind or imprecise word. It might be more accurate to say that the majority of YouTube videos don’t find an audience. That’s probably because they’re not good videos.

In this article, we’re going to talk about what makes YouTube videos good, how to identify if you have the potential to create them, what to do if you don’t, and why a poorly executed YouTube strategy can hurt your business.

Why It’s Difficult To Succeed On YouTube

There are 14 billion videos on YouTube and 65.4 million YouTube creators. Only 21% of all YouTube channels have more than 1,000 subscribers. 1,000 subscribers is the threshold to apply for advertising revenue.

YouTube represents a huge opportunity, but capitalizing on it isn’t easy. You need to be in the top 21% of the platform just to start earning advertising revenue.

To put it another way, you need to be better than 79% of all other creators as a baseline – better than all the hobbyists, enthusiasts, amateur and professional filmmakers, businesses, essayists, and commentators in that broad segment.

Creative Talent Is Difficult To Develop Or Find

Making good YouTube videos is hard because not everyone has the stuff. If you want to succeed on YouTube, your first question needs to be: do you have the stuff?

“The stuff” can be lots of things. Drive and passion, experience and knowledge, charisma, technical skills, artistic vision…it’s a long list, and anything could be on it as long as it gives you an edge.

There needs to be something unique about you or your business that will translate well into a creative, entertainment-focused medium.

What this means for businesses is that producing good YouTube videos is expensive. The kind of people who can make good YouTube videos, and their time, cost a lot of money.

YouTube’s Algorithm Pulls Videos For Users

Many people mistakenly assume that YouTube’s algorithm “pushes” videos out to audiences. As I explain in my article about YouTube SEO, YouTube’s algorithm finds videos for users, not users for videos.

It’s more than a semantic difference in word order. The algorithm pulls videos for users, finding what they might like. It doesn’t take your video and try to find an audience to push it to. It’s user-first, not video-first.

If your video isn’t genuinely interesting and engaging, if it doesn’t catch interest quickly and hold it, then the algorithm will notice that people aren’t very engaged, or the video doesn’t appeal to the audiences you’re trying to push it to, and won’t recommend it to similar users.

Users Have High Expectations

YouTube is an enthusiast platform. People create because they want to. As they learn and get better, their content improves, and audiences come to expect certain standards.

The standards might not be what you think.

While many successful channels have high production values and tight editing, there are still many successful “vlog” channels and low-budget, low-tech creators.

What I mean by high expectations is that users expect high effort. Whatever that effort looks like for your skill level and maturity with video production. Users are surprisingly willing to forgive junk if they can see the passion, authenticity, and value in a video.

This is one of the reasons that brands can struggle to find audiences on YouTube. It’s primarily an entertainment platform – brand-focused content without human connection and authenticity isn’t set up to perform well.

Users Don’t Want To Be Sold To On YouTube

Take a look at the top 100 biggest YouTube channels and you will see creators, music brands, musicians, movies, kids shows, etc. What you won’t see is a single product-focused brand.

SEJ keeps a list of the most subscribed-to individuals on YouTube, cutting out production companies. It’s mostly musicians, entertainers like MrBeast, and children’s creators such as Like Nastya.

People are on YouTube to be entertained or informed, not sold to. There are plenty of ads and in-video sponsorships already trying to sell things.

Is your content entertaining? Do you provide information that people actually care about?

Time Is Precious And There’s Always Something Else To Watch

Users are spoiled for choice. If they don’t find a video immediately compelling, YouTube has other recommendations they can click on right on the page.

They don’t even need to click the “back” button. There’s something new right there, with a colorful thumbnail ready to catch their eye.

This not only makes it difficult to distribute videos, it also makes it hard to make good videos.

Sometimes A Video’s Performance Is Just Luck

Videos you’re sure are good won’t take off. Videos you’re sure are bad will get traction. People are baffling, especially when it comes to what they watch and why. They’ll watch something they hate to have the experience of hating it. They’ll stop watching something they like when they’ve gotten what they need from it.

More than many other search platforms, sometimes you just have to be lucky to succeed on YouTube.

What Makes A YouTube Video “Good”?

Good videos on YouTube must begin with knowledge of your audience, passion for and knowledge of your subject matter, and love of the craft of video production.

That might sound a little wishy-washy but it’s what built the YouTube platform and it’s what users continue to look for.

Videos Must Be Engaging AND Satisfying

Videos are more difficult to skim than text. You can improve it by using chapters and timestamps, but a reader can’t just scroll past what they aren’t interested in. A viewer has to wait for it to pass or actively skip it.

It doesn’t really benefit you to have people skipping around, because it means they’re not engaged, and being engaging is the first rule of a good video.

Engagement means watch time, interaction signals, and even what users do after watching your video.

This makes introductions and hooks critical to a video’s success. Right away, you need to convince someone that it’s worth it to keep watching.

However, it’s easy to go too far and create “clickbait” that over-promises and under-delivers. Even if this gets you watch time, YouTube’s algorithm filters for satisfaction as well as raw engagement.

It can tell the difference between good engagement and not-so-good engagement. If someone watches a whole video expecting something specific and they don’t get it, that’s high engagement but a bad experience.

User signals on YouTube are much more complicated than raw CTR and watch time numbers. Watch time, however, is still one of the major markers of success.

Self-Assessment Is Difficult: So Do It More

Self-assessing creative content is difficult. It’s not easy to look at something you made and ask yourself: is this actually any good? Would anyone watch it? Is it worth someone else’s time?

But you need to practice self-critique and seek critique from others. You need to approach videos from the point of view of the person watching and find the point between what you need to communicate and what they’re willing to watch.

Selling Must Be Incidental To The Content

Unless you’re a BIG brand with an exciting release that people are genuinely anticipating, users are unlikely to care about your business or what you’re trying to sell while they’re on YouTube.

YouTube isn’t really the platform for promotional videos, about us videos, product videos, etc., at least not if you expect algorithmic success.

That doesn’t mean you can’t be successful with mid to low funnel type videos, but they need to be part of a broader strategy — not be your whole approach to the platform.

Your first duty with a YouTube video is to provide genuine value to the viewer. “Value” could be learning, news, or laughing at memes. If you focus on your business conversion goals first, you’ll lose audiences early and harm your metrics, burying your videos.

If you know SEO, you know this already. YouTube videos are most successful when they’re a “top funnel” strategy. Give something of value, and expect only time in return.

As a user gets to know and like you through your videos, they’ll become more interested in your value proposition as a business or service provider.

Good YouTube Videos Are Made For The Love Of It

Doing things because you love them isn’t reserved only for individual creators. As a team, as a professional, as a business, you can do this too. It just means caring about what you’re publishing and who you’re publishing it for.

If you have a brilliant creative team, set them to work on a YouTube channel! If you’re passionate about helping people, solving problems, providing good information, or just letting your team be goobers for the camera, it’s a great idea to start some kind of production.

This could look like a podcast, a tutorial, or a demonstration series. Or even something unrelated to your businesses but that is a special interest to someone on your team, that you can use for testing.

This might feel like nothing advice but believe me, users can tell when videos are made with love and when they aren’t. There’s no way to replicate or fake it. You’ve just got to do it. Or fund people who do it with advertising.

More resources: 


Featured Image: metamorworks/Shutterstock

These stunning images trace ships’ routes as they move

As we run, drive, bike, and fly, we leave behind telltale marks of our movements on Earth—if you know where to look. Physical tracks, thermal signatures, and chemical traces can reveal where we’ve been. But another type of trail we leave comes from the radio signals emitted by the cars, planes, trains, and boats we use.

On airplanes, technology called ADS-B (Automatic Dependent Surveillance–Broadcast) provides real-time location, identification, speed, and orientation data. For ships at sea, that function is performed by the AIS (Automatic Identification System).

Operating at 161.975 and 162.025 megahertz, AIS transmitters broadcast a ship’s identification number, name, call sign, length and beam, type, and antenna location every six minutes. Ship location, position time stamp, and direction are transmitted more frequently. The primary purpose of AIS is maritime safety—it helps prevent collisions, assists in rescues, and provides insight into the impact of ship traffic on marine life. US Coast Guard regulations say that generally, private boats under 65 feet in length are not required to use AIS, but most commercial vessels are. Unlike ADS-B in planes, AIS can be turned off only in rare circumstances. 

A variety of sectors use AIS data for many different applications, including monitoring ship traffic to avoid disruption of undersea internet cables, identifying whale strikes, and studying the footprint of underwater noise.

Using the US National Oceanic and Atmospheric Association’s Marine Cadastre tool, you can download 16 years of detailed daily ship movements, as well as “transit count” maps generated from a year’s worth of data showing each ship’s accumulated paths. The data is collected entirely from ground-based stations along the US coasts.

I downloaded all of 2023’s transit count maps and loaded them up in geographic information system software called QGIS to visualize this year of marine traffic.

The maps are abstract and electric. With landmasses removed, the ship traces resemble long-exposure photos of sparklers, high-energy particle collisions, or strands of fiber-optic wire.

Victoria, British Columbia, and Seattle.
DATA: NOAA; MAP: JON KEEGAN / BEAUTIFUL PUBLIC DATA
Lake Huron
DATA: NOAA; MAP: JON KEEGAN / BEAUTIFUL PUBLIC DATA
Savannah, Georgia
DATA: NOAA; MAP: JON KEEGAN / BEAUTIFUL PUBLIC DATA
Louisiana
DATA: NOAA; MAP: JON KEEGAN / BEAUTIFUL PUBLIC DATA

Zooming in on these maps, you might see strange geometric patterns of perfect circles, or lines in a grid. Some of these are fishing grounds, others are scientific surveys mapping the seafloor, and others represent boats going to and from offshore oil rigs, especially off Louisiana’s gulf coast.

Hiding in plain sight

Having a global, near-real-time system for tracking the precise movements of all ships at sea sounds like a great innovation—unless you’re trying to keep your ships’ movements and cargoes secret.

In 2023, Bloomberg investigated how Russia evaded sanctions on its oil exports after the invasion of Ukraine by “spoofing”—transmitting fake AIS data—to mislead observers. Tracking a fleet of rusting ships of questionable seaworthiness, reporters compared AIS data with what they actually saw on the sea—and discovered that the ships weren’t where the data said they were. 

Monitoring the fishing industry

Clusters of fishing vessels gravitating toward known fishing grounds create some of the most interesting patterns on the maps. 

Global Fishing Watch is an international nonprofit that uses AIS to monitor the fishing industry, seeking to protect marine life from overfishing. But it says that only 2% of fishing vessels use AIS transmitters. 

The organization, which is backed by Google, the ocean conservation group Oceana, and the satellite imagery company SkyTruth, combines AIS data with satellite imagery and uses machine learning to classify the types of fishing technology being used. 

In a press release announcing the creation of Global Fishing Watch, John Amos, the president and founder of SkyTruth, said: “So much of what happens out on the high seas is invisible, and that has been a huge barrier to understanding and showing the world what’s at stake for the ocean.” 

A version of this story appeared in Beautiful Public Data (beautifulpublicdata.com), a newsletter that curates visually interesting datasets collected by government agencies.

Revisiting a year of Roundtables, MIT Technology Review’s subscriber-only events

The worst technologies of 2024. The future of mixed reality. AI’s impact on the climate. These are just a few of the topics we covered this year in MIT Technology Review’s monthly event series, Roundtables. 

The series offers a unique opportunity to hear straight from our reporters and editors about what’s next for emerging technologies. Available exclusively for subscribers, these 30-minute online discussions provide insights, analysis, and perspectives on timely topics such as gene editing and smart glasses.

Roundtables is also a chance for subscribers to ask questions about the latest technologies and learn more about their impact directly from our experts and guests. Subscribers can access recordings of past sessions—about EVs in China, climate-friendly food, CRISPR babies, and AI hardware. 

To access the library, simply log in with your subscription or subscribe now to save 25% and unlock access to the entire series.

Here are some highlights from this year in Roundtables:

The Worst Technology Failures of 2024

MIT Technology Review publishes an annual list of the worst technologies of the year—chronicling flops, failures, and other mishaps. The 2024 list was unveiled in December by executive editor Niall Firth and senior editor for biomedicine Antonio Regalado. They had a lively discussion about each of the eight items on this list—and what we can learn from these fiascos.

What’s Next for Mixed Reality: Glasses, Goggles, and More

This year brought many new developments in one particular consumer device category: smart glasses. After years of development, new augmented-reality specs from several companies made their debut. Editor in chief Mat Honan and AI hardware reporter James O’Donnell talked about where it’s all heading.

Putting AI’s Climate Impact into Perspective

The rise of AI comes with a growing carbon footprint and greater demand for electricity. Analysts project that AI could drive up data centers’ energy consumption by 160% this decade. So how worried should we be? Editor at large David Rotman, senior AI reporter Melissa Heikkilä, and senior editor for energy James Temple explored the energy trade-offs involved in AI.

CRISPR Babies: Six years later

Gene editing can correct or improve the DNA of human embryos, potentially opening the door to the “technological evolution” of our species. But in 2018, a premature attempt to use the technology this way led to a prison term for He Jiankui, the researcher involved. Editor in chief Mat Honan and senior editor for biomedicine Antonio Regalado had a conversation with He, a biophysicist and the creator of the first gene-edited humans, to revisit this controversial technology and the future of editing in IVF clinics.

Why Thermal Batteries Are So Hot Right Now

Thermal batteries could be a key part of cleaning up heavy industry. Executive editor Amy Nordrum and senior climate reporter Casey Crownhart told us what we can expect next from this emerging technology—which was also voted the 11th breakthrough technology of 2024 by our readers.