Показаны сообщения с ярлыком Google. Показать все сообщения
Показаны сообщения с ярлыком Google. Показать все сообщения

среда, 15 ноября 2023 г.

55 Business Model Patterns. #21. Hidden Revenue

 


The logic that the user is responsible for the income of the business is abandoned. Instead, the main source of revenue comes from a third party, which cross-finances whatever free or low-priced offering attracts the users. A very common case of this model is financing through advertisement, where attracted customers are of value to the advertisers who fund the offering. This concept facilitates the idea of 'separation between revenue and customer'.




How they do it: Mozilla doesn’t charge its users for the download or use of the software. However by using the software, Mozilla gets access to the users data and searches, which the company can then market to search engine operators and other advertisers.

Top Industries

Below, the top industries for the pattern "Hidden Revenue" are displayed, in order to get insights into how this pattern is applied across different industries. We've collected data from 5 firms using this pattern.

Pattern Co-Occurrence

Below, the pattern "Hidden Revenue" is analyzed based on co-occurrence, in order to get insights into how this business model pattern is applied in combination with other patterns within the firms we studied.


What Is A Hidden Revenue Business Model? Google’s Business Model Explained




hidden revenue business model is a pattern for revenue generation that keeps users out of the equation, so they don’t pay for the service or product offered. For instance, Google’s users don’t pay for the search engine. Instead, the revenue streams come from advertising money spent by businesses bidding on keywords.



Google’s Win-Win-Win Value Proposition

Let’s see in more detail how Google managed to create a business model which generates more than two hundred billion dollars in revenues.

In fact, to unlock so much financial value, a proper business model has to have an appealing value proposition for several key stakeholders.

As of 2022, over $224 billion, which consisted of about 80% of Google’s revenues, came from advertising networks.

How did Google manage to be so financially successful and sustainable over time? The answer lies in a compelling value proposition for three key players.

Google is the most powerful search engine in the world. However, it was not the first. In fact, when it appeared on the scene in the late 90s, it was one of the latest search engines.

However, thanks to a powerful algorithm called PageRank, it soon took off. Initially, it was not clear how the search engine was supposed to make money. One thing was clear for its founders though: it was supposed to be free for its users.

In fact, the billions of people that use Google each day are what makes the search engine better and better.

In fact, Google uses that data to tweak its search algorithm to make it able to read, interpret, understand, and process users’ queries.

But if users aren’t paying, who’s paying for it?

Businesses: I get more sales through targeted Ads

Google uses an advertising business model, where companies take part in an ad network called AdWords.

In short, they can bid on keywords (such as “car insurance”) to sell their products and services.

This model works quite well as it allows those businesses to track the results of their ad, offer their ads to interested users (in fact, through tracking, Google can understand what users might want), and pay based on what users click through.

This compelling value proposition made Google’s profits grow quite fast. However, there is another critical piece of the puzzle: publishers.

Publishers: Easily monetize my content

Each day millions of new articles are written on the web.

But why do so many publishers hit the publish button? Of course, it has never been so easy to provide information.

In fact, today, thanks to the internet, anyone can become a publisher.

However, as Google’s powerful algorithm can index the whole visible web, it also becomes harder for publishers to be featured through it.

Thus, it makes sense for small and large publishers to compete and create “content factories.”

In fact, the more content they create, the more chances they get to be featured on Google. But what for?

A significant payoff for publishers to be featured by Google is, of course, visibility.

In fact, many publishers monetize mainly through traffic. Second, and most importantly: money!

Indeed, those same publishers can “rent” part of their web page space to Google to place banners from businesses part of the AdWords network. When users browse the pages with banners or click through them, those publishers can finally monetize their content. (this is called AdSense)

The overall Google’s business model ability to generate value is summarised below


Alphabet generated over $282B from Google search and others, $32.78 billion from the Network members (Adsense and AdMob), $29.2 billion from YouTube Ads, $26.28B from the Cloud, and $29 billion from other sources (Google Play, Hardware devices, and other services).

That is how Google, through its hidden revenue business model was able to become a tech giant.

The business model worked so well that it made Google so big and powerful, and over time, some concerns have grown.

Google’s business model? Not without a flaw

An advertising model based on hidden revenue generation might carry some flaws. In Google’s specific case, below are some of the flaws.

Asymmetry toward users: You give me data, and I make money

That is true that users don’t pay, but in the process, they do offer Google valuable data. Some argue whether that data should be given back to the same users in some ways

Biased content: Is content that targets keywords really relevant?

Publishers are incentivized to produce content that might not always be the best form of information.

In fact, although Google’s original mission was to organize the world’s information, its business model became so effective to influence it eventually. In fact, today, many publishers follow SEO guidelines to make sure to comply with the way Google’s algorithm works.

We can then argue whether Google’s algorithm gives back the best content or the content that best fits its guidelines.

That is not an easy answer to that, and of course, in most cases, I believe Google does an incredible job.

The web as a giant billboard: Is this indeed the web we want?

When Google finally opted to adopt an advertising business model the web suddenly became a giant billboard.

Many argue whether or not that is the way the internet was supposed to be. It’s interesting to see the point some internet visionaries expressed on Wired when they said: “the internet is broken.

Privacy concerns: Do you really have to track me?

As users become more and more aware of the data that Google collects from them, it raises questions about whether or not it makes sense for them to keep using it.

In fact, other search engines more focused on privacy are growing their user base. That raises an important question.

Is Google’s business model the only possible for search?

Any company, sooner or later, will be disrupted.

At times the paradox is that innovation comes from going back to the past. In fact, alternatives like DuckDuckGo (a search engine that doesn’t track its users) argue whether a search engine has to track its users.

In fact, search engines like DuckDuckGo get a growing piece of the search pie by focusing on those concerns. Indeed, its founder, Gabriel Weinberg, argues that a search engine can make money without tracking its users.

That means as users become more sophisticated, privacy becomes a new value proposition as powerful as monetization. That, of course, would undermine the basis of a hidden revenue model built on users’ data

However, the real threat today is coming from new tools like ChatGPT. 


ChatGPT leverages GPT-3.5 as the underlying model, while it uses an additional layer, a model called InstructGPT, which has become a standard within the OpenAI large language models. InstructGPT optimizes conversational abilities and improves on top of the existing GPT models.
With the rise of AI conversational interfaces, led by OpenAI, search is getting disrupted. 


OpenAI has built the foundational layer of the AI industry. With large generative models like GPT-3 and DALL-E, OpenAI offers API access to businesses that want to develop applications on top of its foundational models while being able to plug these models into their products and customize these models with proprietary data and additional AI features. On the other hand, OpenAI also released ChatGPT, developing around a freemium model. Microsoft also commercializes opener products through its commercial partnership
And its partnership with Microsoft, things are moving quite fast.


OpenAI and Microsoft partnered up from a commercial standpoint. The history of the partnership started in 2016 and consolidated in 2019, with Microsoft investing a billion dollars into the partnership. It’s now taking a leap forward, with Microsoft in talks to put $10 billion into this partnership. Microsoft, through OpenAI, is developing its Azure AI Supercomputer while enhancing its Azure Enterprise Platform and integrating OpenAI’s models into its business and consumer products (GitHub, Office, Bing).

Key takeaways

  • A hidden revenue generation business model keeps users out of the equation while it lets other parties finance – in part or entirely – the product or service offered.
  • This kind of model works if the value proposition is appealing to several stakeholders. For instance, Google has created a sustainable business model based on hidden revenue generation by creating a compelling value proposition for businesses and publishers. The former can bid on keywords and generate sales through targeted ads. The latter can effectively monetize their content.
  • Google’s hidden revenue business model has become so powerful that, of course, it has shown some flaws. The paradox is that what a few years back was an innovative model that is now creating opportunities for competitors to come up with alternative value propositions. Thus, monetization was a strong motivator over privacy just a few years ago. Now, privacy is becoming more and more important. That leaves space for new players!
  • The strongest disruptive forces for Google come from AI conversational interfaces led by OpenAI.

Key Highlights

  • Hidden Revenue Model:
    • The business model does not rely on direct payment from users for products or services.
    • Instead, revenue is generated from other sources, such as advertisers or business partners.
  • Google’s Value Proposition:
    • Google provides a powerful search engine that is free for users to access.
    • The majority of Google’s revenue (over $224 billion as of 2022) comes from its advertising networks, known as AdWords.
    • Advertisers bid on keywords to display targeted ads, leading to increased sales for businesses.
  • Flaws and Concerns:
    • Users provide valuable data to Google without direct compensation, leading to an asymmetry in value exchange.
    • Publishers may prioritize content creation to cater to ad targeting rather than providing the most relevant and high-quality information.
    • The prevalence of ads has transformed the web into a vast advertising platform, raising questions about the original intent of the internet.
  • Challenges from AI Conversational Interfaces:
    • The emergence of AI conversational interfaces, exemplified by ChatGPT, is disrupting traditional search methods.
    • Privacy-focused search engines like DuckDuckGo are gaining popularity as users become more conscious of data tracking.
    • The demand for alternative search models based on privacy and user empowerment is creating opportunities for competitors to innovate.
ElementDescription
Value PropositionHidden Revenue Business Models, such as Google’s, offer the following value propositions for their users: – Free Access: Providing valuable services or products for free, attracting a large user base. – Quality and Convenience: Offering high-quality products or services that meet users’ needs. – Innovation: Continuously introducing new features and improvements. – Monetization Flexibility: Providing users with the option to pay for enhanced features or an ad-free experience. – Data Privacy: Ensuring data privacy and security to build trust. – Global Reach: Offering services on a global scale.
Core Products/ServicesCore products and services provided by Hidden Revenue Business Models include: – Free Basic Services: Offering essential services or products to users at no cost. – Advertising: Generating revenue through targeted advertising based on user data. – Freemium Tiers: Offering premium or enhanced features for a subscription fee. – Data Collection: Collecting user data to improve services and target ads effectively. – Analytics and Insights: Providing data analytics and insights to businesses as a paid service. – Ecosystem Expansion: Expanding the product or service ecosystem to retain and engage users.
Customer SegmentsHidden Revenue Business Models target various customer segments: – Casual Users: Individuals who use the free basic services casually. – Businesses: Companies looking to advertise and access data insights. – Premium Users: Customers willing to pay for enhanced features or an ad-free experience. – Data Partners: Organizations interested in purchasing user data for analysis. – Developers: Third-party developers and app creators using the platform’s tools. – Global Audience: Users from diverse geographic locations.
Revenue StreamsHidden Revenue Business Models generate revenue through several revenue streams: – Advertising: Earnings from displaying targeted ads to users. – Freemium Subscriptions: Revenue from users who subscribe to premium features or ad-free experiences. – Data Monetization: Selling user data to businesses for marketing and analysis. – API Access Fees: Charging developers or businesses for access to the platform’s APIs and tools. – Paid Analytics Services: Offering data analytics and insights as a paid service. – Partnerships: Collaborating with businesses for joint ventures and revenue-sharing opportunities.
Distribution StrategyThe distribution strategy for Hidden Revenue Business Models includes global reach and user engagement: – Global Availability: Offering services or products worldwide to reach a broad audience. – User Engagement: Encouraging user engagement and retention through regular updates and improvements. – App Stores: Distributing mobile apps through app stores for easy access. – Online Advertising: Leveraging online advertising to attract and retain users. – Data Analytics Tools: Providing businesses with tools for data analysis and insights. – Developer Ecosystem: Supporting third-party developers to create apps and services within the ecosystem. – Security Measures: Ensuring robust data privacy and security measures to build trust with users.

Related To Google

Google Business Model

Google is an attention merchant that – in 2022 – generated over $224 billion (almost 80% of revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $29 billion segment), and Google Cloud ($26.2 billion)

Google Other Bets


Of Google’s (Alphabet) over $282 billion revenue for 2022, Google also generated over a billion dollars from a group of startup bets, which Google considers potential moonshots (companies that might open up new industries). Those Google’s bets also generated a loss for the company of over $6 billion in the same year. In short, Google is using the money generated by search and betting it on other innovative industries. Of Google’s (Alphabet) over $282 billion revenue for 2022, Google also generated over a billion dollars from a group of startup bets, which Google considers potential moonshots (companies that might open up new industries). Those Google’s bets also generated a loss for the company of over $6 billion in the same year. In short, Google is using the money generated by search and betting it on other innovative industries.


Google is an attention merchant that – in 2022 – generated $224 billion (almost 80% of its total revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $29 billion segment), and Google Cloud ($26.3 billion).



The traffic acquisition cost represents the expenses incurred by an internet company, like Google, to gain qualified traffic – on its pages – for monetization. Over the years, Google has been able to reduce its traffic acquisition costs and, in any case, to keep it stable. In 2022 Google spent 21.75% of its total advertising revenues (over $48 billion) to guarantee its traffic on several desktop and mobile devices across the web



Alphabet generated over $282B from Google search and others, $32.78 billion from the Network members (Adsense and AdMob), $29.2 billion from YouTube Ads, $26.28B from the Cloud, and $29 billion from other sources (Google Play, Hardware devices, and other services).
YouTube was acquired for almost $1.7 billion in 2006 by Google. It makes money through advertising and subscription revenues. YouTube advertising network is part of Google Ads, and it reported more than $29B in revenues by 2022. YouTube also makes money with its paid memberships and premium content



Google Profits


In 2022, Google generated over $282 billion in revenues, of which over $162 billion from Google Search, over $29 billion from YouTube Ads, and almost $33 billion from Network Members’ properties. In addition, Google generated over $29 billion in other revenue, over $26 billion from Google Cloud, and over a billion dollars from other bets.


YouTube, by 2022, generated over $29 billion in advertising revenues.


https://fourweekmba.com/

пятница, 28 июля 2023 г.

How Long Does It Take To Rank on Google?

 


SAM NELSON



Ah, the almighty Google search box.

Website developers spend a lot of time trying to make sure their pages show up directly beneath that box, at the top of Google’s first page of search results.

Reaching the top of the search rankings does not happen overnight, especially for small businesses with little or no existing web presence.

According to multiple sources, the average time for websites to rank on Google through optimization (SEO) techniques is about three to six months.

That’s right – jumping to the front of Google’s results usually takes between 90-180 days, depending on the competitiveness of your industry and popularity of your keywords. For several reasons we’ll discuss below (competition, domain age, content accumulation, etc.) a high ranking may take as much as a year in competitive fields.

This can be frustrating for developers and clients alike. We just put weeks into building a new site! It looks great and no one is seeing it! Why isn’t Google recognizing us?

Don’t worry. In this case, doing everything right doesn’t mean immediate results. Ranking on Google is a process, not a magic trick.

To understand which websites appear at the top of Google‘s rankings, first, we need to dive into how Google finds those pages and adds them to your search results.

How Does Google Find My Page?

Software programs called “Googlebots” (also known as bots, robots, or spiders) move or “crawl” through billions of web pages, collecting and cataloging information that is added to Google’s index of the web. For your webpage to reach Google’s index, the spiders must be able to crawl and read the information on your site.

This video from Google explains in more detail how the search function works:


Like the nice man in the pink shirt says, when you search through Google, you are actually searching the Google index, not the whole Internet. Google uses an algorithm to match your query to the bazillion pages it has on file.

The algorithm considers more than 250 factors, including keywords, titles, and content tags. The algorithm also incorporates PageRank, a separate program that measures each page’s importance according to the amount and quality of traffic from other sites.

How Are Websites Ranked?

When you type a search into Google, pages are selected from the index according to how well they match up to your specific query.

There is no exact formula for placing your website at the top of a Google search. However, the following factors play a key role in the ranking process:

  • SEO. Search Engine Optimization (SEO) ensures that your website is visible to Googlebots and other indexing programs. This includes things like titles, keywords, headings, and ALT image text.
  • Domain age. A web domain less than six months old is considered a “new” site, and therefore less trustworthy or reliable than an older website that has been thoroughly verified. New sites can still be ranked, but rankings are more likely to increase after the six-month window.
  • Keyword competition. Words or phrases that are searched often are highly competitive, and more established sites in your industry have a head start on ranking for popular searches. If your site is new, it will be easier to build trust and rankings through keywords with lower levels of competition before moving on to more popular searches.
  • Content quality. The Googlebots are designed to identify characteristics like how often new content is published, whether the content is original, as well as the length and overall quality of your posts. Regularly adding new, original, high-quality content to your page will keep the search bots looking at your page, and could lead to higher rankings as time passes.
  • Clean domain. Google’s algorithm is also designed to spot when websites try to cheat the system with tricks like keyword stuffing or buying inbound links. These schemes may work for a while, but when Google catches on, your site will be penalized. Your ranking will suffer until you correct the problem, which can be a lengthy and difficult process.

(Hat tip: reliablesoft.net)

So if you’re maintaining your page with good content, keeping your domain clear of any shady shortcuts, and focusing on low-competition keywords that will build your online authority… be patient.

You’re on your way.

https://websitemuscle.com/how-long-does-it-take-to-rank-on-google/


How long does it take to rank in Google? (A study by Ahrefs)


If you’re doing client SEO, I guess every new client, without any exceptions, will ask you this question: 

“How long till my website (page) ranks on top of Google?”

The common response to this question is obviously, “It depends,” because there are just too many variables to consider: website strength, competition, budget, skills, etc.

But here at Ahrefs, we decided to sift through the petabytes of historical ranking data that we have and give you a slightly more quantifiable answer, something more concrete than simply, “It depends.”


How old are the top-ranking pages?

For starters, we identified how old the current top-ranking pages are.

We took 2 million random keywords and pulled data on the Top10 ranking pages for each of them. Which resulted in this beautiful graph:


SIDENOTE.
 The “age” is calculated from the date when Ahrefs crawlers first saw the page. But since we crawl the web at a pretty staggering speed, the actual age of the page should be very close, if not identical, to our records. 

As you can tell from this graph, the average Top10 ranking page is 2+ years old. And those that rank at position #1 are almost 3 years old (on average).

In fact, only 22% of pages that currently rank in the Top10 were created within 1 year:


So the next thing we wanted to know is what percentage of pages at each ranking position were less than 1 year old:


This doesn’t look too promising, right? The SERP is clearly dominated by “old” pages.

How long does it take for a page to rank in Google?

To answer this question, we randomly selected 2 million pages that were first seen by Ahrefs crawler a year ago.

We then tracked the position history of each page for any keyword it’s ranked for.

Which resulted in this graph:


Only 5.7% of all studied pages ranked in the Top10 search results within 1 year for at least 1 keyword.

Pages from websites with a high Domain Rating (DR) performed way better than those with a low DR. Which shouldn’t come as a surprise, because Ahrefs’ Domain Rating metric (shows the strength of a website’s backlink profile) correlates well with Google rankings.

We then zoomed into these 5.7% of “lucky” pages to see how quickly they got from nowhere to the Top10.

The majority of them managed to achieve that in approximately 61-182 days.


By looking at this graph, you might think that, on average, it takes a page anywhere from 2-6 months to rank in Google’s Top10.

But that conclusion isn’t valid here, because this data only represents the 5.7% of pages that were lucky enough to rank in the Top10 within a year — while almost 95% of all the pages we studied didn’t make it to the Top10 within that timeframe.

We also re-calculated the numbers based on monthly search volume of the keywords:


Only 0.3% of pages ranked in the Top10 for a high-volume keyword in less than a year.

And here are the dynamics of these 5.7% “lucky” pages, broken down by search volume of the keyword that they ranked for:


Clearly, you can rank for low-volume keywords in a very short time, while the high-volume ones take almost a year to get into the Top10.

But again, don’t forget that this data only applies to 5.7% of “lucky” pages that ranked in the Top10 within a year. The vast majority of pages don’t perform that well.

What does this all mean?

Did our study give a definite answer to “how long does it take to rank” question?

No.

But at least we’ve shown that almost 95% of newly published pages don’t get to the Top10 within a year.

And most of the “lucky” ones, which do manage to get there, do it in about 2-6 months.

Actually, I shouldn’t be framing these pages as “lucky,” because the reason they got to the Top10 in less than a year is most likely hard work and great knowledge of SEO, not luck.

Check out these tips from Sam Oh if you want to rank #1 in Google quicker:


Here’s to hard work and dedication!



https://ahrefs.com/blog/how-long-does-it-take-to-rank/