Google Failures

Failed Project/ProductDescription and PurposeKey Reasons for FailureLessons Learned (if any)
Google+ (Google Plus)A social networking platform aiming to compete with Facebook.Low user engagement, privacy concerns, and competition from Facebook.The importance of addressing privacy concerns and staying competitive in the social media landscape.
Google WaveA communication and collaboration platform.Complexity and lack of clear use cases for many users.The need for clear use cases and user-friendly design in collaboration tools.
Google BuzzA social networking and messaging service.Privacy concerns and backlash led to discontinuation.The importance of addressing privacy issues and user feedback promptly.
Google ReaderAn RSS feed aggregator for news and content.Decline in usage and changing user habits led to its shutdown.The need to adapt to changing user preferences and continually innovate in the content aggregation space.
Google Glass (Consumer Version)Smart glasses with augmented reality capabilities.Privacy concerns, high cost, and limited practical use cases.The importance of product-market fit, addressing privacy concerns, and affordability for consumers.
Google AlloA messaging app with advanced features.Inability to compete with established messaging platforms.The challenges of entering crowded markets and providing unique value to users.
Google HealthA personal health record service.Lack of user adoption and interest.The need for compelling value propositions and user engagement in healthcare-related products.
Google AnswersA Q&A platform where users paid for answers.Inability to compete with free alternatives.The challenges of monetizing Q&A platforms and the importance of pricing strategies.
Google VideoGoogle’s video hosting platform.Outshone by YouTube, which Google later acquired.Recognizing when to pivot or consolidate efforts within the company.
Google LivelyA 3D virtual world platform.Low user interest and engagement.The importance of understanding user preferences and evolving product offerings accordingly.
Google NotebookA note-taking and organization tool.Phased out in favor of other Google products.The need to streamline product portfolios and focus on more successful offerings.
Google KnolA knowledge sharing platform.Competition from Wikipedia and lack of user engagement.The challenges of competing with established platforms and retaining user interest.
Google BuzzA real-time social networking and microblogging platform.Privacy concerns and low user engagement.The importance of handling privacy issues effectively and providing compelling user experiences.
OrkutA social networking platform popular in some regions.Faced stiff competition from Facebook and lack of innovation.The need for continuous innovation and adapting to changing market dynamics.
Google NotebookA web-based note-taking and organization tool.Phased out due to low user adoption and development focus shifts.The importance of prioritizing products with higher user adoption and strategic alignment.
Google Code SearchA search engine for searching public source code.Discontinued due to low usage and overlapping services.Evaluating the long-term viability and relevance of niche tools and services.
iGoogleA personalized web portal offering widgets and gadgets.Discontinued due to the rise of mobile apps and changing user habits.The need to adapt to evolving technology trends and user preferences.
Google Flu TrendsA tool for predicting flu outbreaks based on search data.Inaccurate predictions and overestimation of flu cases.The importance of refining algorithms and validating data sources for predictive analytics.
Google AnswersA platform where users could ask questions and pay for answers.Discontinued due to low activity and competition from free Q&A platforms.Assessing the sustainability and business model of paid question-and-answer platforms.

Related To Google

Who Owns Google

who-owns-google
Google is primarily owned by its founders, Larry Page and Sergey Brin, who have more than 51% voting power. Other individual shareholders comprise John Doerr (1.5%), a venture capitalist and early investor in Google, and CEO, Sundar Pichai. Former Google CEO Eric Schmidt has 4.2% voting power. The most prominent institutional shareholders are mutual funds BlackRock and The Vanguard Group, with 2.7% and 3.1%, respectively.

How Does Google Make Money

how-does-google-make-money
Google (now Alphabet) primarily makes money through advertising. The Google search engine, while free, is monetized with paid advertising. In 2023, Alphabet generated over $175B from Google search, $31.51B billion from the Network members (Adsense and AdMob), $31.31B billion from YouTube Ads, $33B from Google Cloud, and $34.69B billion from other sources (Google Play, Hardware devices, and other services). And $1.53B from its other bets. 

Google Business Model

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

google-other-bets
Of Google’s (Alphabet) over $307.39 billion in revenue for 2023, Google also generated for the first time, well over 1.5 billion dollars in revenue from its bets, which Google considers potential moonshots (companies that might open up new industries). Google’s bets also generated a loss for the company of over $4 billion in the same year. In short, Google is using the money generated by search and betting it on other innovative industries, which are ramping up in 2023. 

Google Cloud Business

google-cloud-business-model
In 2023, Alphabet’s (Google) Cloud Business generated over $33 billion within Alphabet’s Google overall business model, and it was also profitable, with over $1.7 billion in profits. Google Cloud is instrumental to Google’s AI strategy.

How Big Is Google?

how-big-is-google
Google is an attention merchant that – in 2023 – generated $237.85 billion (over 77% of its total revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $31.5 billion segment), and Google Cloud (over $33 billion).

Google Traffic Acquisition Costs

what-is-google-tac
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 2023 Google spent 21.39% ($50.9 billion) of its total advertising revenues ($237.8 billion) to guarantee its traffic on several desktop and mobile devices across the web.

YouTube Business Model

how-does-youtube-make-money
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 $31B in revenues by 2023. YouTube also makes money with its paid memberships and premium content.

Google vs. Bing

google-vs-bing
In 2023, Google’s search advertising machine, generated over 175 billion dollars. Whereas Microsoft’s Bing generated 12.2 billion dollars. Thus, as of 2023, Google’s search advertising machine is over 14x larger than Microsoft’s search advertising machine.

Google Profits

google-income
Google makes most of its money from advertising. Indeed total advertising revenue represented nearly 78% of Google’s (Alphabet) overall revenues for 2023. Google Search represented nearly 57% of Google’s total revenues. Google generated $307.39B in revenues in 2022, and $73.79B billion in net profits.

Google Revenue Breakdown

google-revenue-breakdown
In 2023, Google generated $307.39 billion, comprising $175B in Google Search, $31.51B in YouTube ads, and $31.31B in Google network revenue. $34.69B in other revenue, $33B in Google cloud, $1.53B in other bets.

Google Advertising Revenue

how-much-money-does-google-make-from-advertising
In 2023, Google generated 237.85B in revenue in advertising, which represented over 77% of its total revenues of $ 307.39 B. In 2022, Google generated $224.47B in revenues from advertising, which represented almost 80% of the total revenues, compared to $282.83B in total revenues. Therefore, most of the revenues from Alphabet, the mother company of Google, come from advertising.

Apple vs. Google

apple-vs-google-revenues

Google Employees Number

google-layoffs
At the end of December 2022, Google had over 190,000 employees.  On January 20, Google announced the layoff of 12,000 employees within the company, thus bringing the number of total employees by December 2023 to 182,502 full-time employees.

Google Revenue Per Employee

google-revenue-per-employee
Google generated $1,684,332 per employee in 2023, compared to $1,486,779 per employee in 2022. As of January 2023, as the company announced a mass layoff, it brought back its revenue per employee at $1,586,880, still behind the peak in 2021, for $1,840,330.

YouTube Ad Revenue

youtube-ads-revenue
By 2023, YouTube generated $31.51 billion in advertising revenue.

AI Paradigm

current-AI-paradigm

Pre-Training

pre-training

Large Language Models

large-language-models-llms
Large language models (LLMs) are AI tools that can read, summarize, and translate text. This enables them to predict words and craft sentences that reflect how humans write and speak.

Generative Models

generative-models

Prompt Engineering

prompt-engineering
Prompt engineering is a natural language processing (NLP) concept that involves discovering inputs that yield desirable or useful results. Like most processes, the quality of the inputs determines the quality of the outputs in prompt engineering. Designing effective prompts increases the likelihood that the model will return a response that is both favorable and contextual. Developed by OpenAI, the CLIP (Contrastive Language-Image Pre-training) model is an example of a model that utilizes prompts to classify images and captions from over 400 million image-caption pairs.

OpenAI Business Model

how-does-openai-make-money
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.

OpenAI/Microsoft

openai-microsoft
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).

Stability AI Business Model

how-does-stability-ai-make-money
Stability AI is the entity behind Stable Diffusion. Stability makes money from our AI products and from providing AI consulting services to businesses. Stability AI monetizes Stable Diffusion via DreamStudio’s APIs. While it also releases it open-source for anyone to download and use. Stability AI also makes money via enterprise services, where its core development team offers the chance to enterprise customers to service, scale, and customize Stable Diffusion or other large generative models to their needs.

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