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Twitter Q1: sales up 3% to $808M as it swings to a loss on COVID-19, mDAUS hit record 166M

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Despite traffic for many online properties being at an all-time high, advertising has fallen off a cliff because of the downturn in consumer activity outside the home and the wider economic pressures resulting from the COVID-19 pandemic. And today, Twitter reported quarterly earnings that bore this trend out.

The ad-based social networking and media company said that in Q1 it made $808 million in revenues, actually up 3% on a year ago, with monetizable daily active users (Twitter’s own metric for measuring its audience) grew 24% to 166 million, an all-time high, adding 14 million average mDAUs since Q4 (152 million) and 32 million since Q1 of last year (134 million).

However, operating income for the quarter swung to a loss of $7 million, working out to a net margin of -1% and diluted EPS of -$0.01.

Analysts had expected, on average, to see $775.96 million in revenues on earnings per share of $0.10, so Twitter beat on sales, and missed on earnings. (Note: Twitter’s analyst consensus, provided to journalists, was a little different and painted a more positive picture: it noted average EPS expectations were -$0.02 on sales of $776 million, with expectations of mDAUs at 164 million. Twitter says that its figures are based on non-GAAP numbers, but even on GAAP EPS Twitter’s actual EPS is a beat on consensus of -$0.02.)

Times have really changed whichever way you look at it. In the same quarter a year ago, Twitter reported sales of $787 million, up 18%; net income of $191 million; and diluted EPS of $0.37.

“In this difficult time, Twitter’s purpose is proving more vital than ever,” said CEO Jack Dorsey in a statement. “We are helping the world stay informed, and providing a unique way for people to come together to help or simply entertain and remind one another of our connections. We’ve delivered our strongest ever year over year mDAU growth. Public conversation can help the world learn faster, solve common problems, and realize we’re all in this together. Our task now is to make sure we retain that connection over the long term with the many people new to Twitter.”

The company said that the quarter played out in “two distinct periods”, January through early March, which largely performed as expected, it said, and eearly March through the end of the quarter, “when the pandemic became global.”

None of this should come as a surprise. Twitter itself announced more than a month ago that it was removing its own financial guidance because of the instability of its business due to COVID-19 — noting only that it would be lower than expected:

“While the near-term financial impact of this pandemic is rapidly evolving and difficult to measure, based on current visibility, the company expects Q1 revenue to be down slightly on a year-over-year basis,” it wrote at the time. “Twitter also expects to incur a GAAP operating loss, as reduced expenses resulting from COVID-19 disruption are unlikely to fully offset the revenue impact of the pandemic in Q1.”

It did point out one bright spot, which is that it is picking up many more users because of increased “conversation about COVID-19 as well as ongoing product improvements.” Then, it said that quarter-to-date average total mDAU was around 164 million, up 23% from 134 million in Q1 2019 and up 8% from 152 million in Q4 2019.

Generally, Twitter’s fortunes this quarter are in line with results from Alphabet/Google and Facebook, which also reported earnings this week that reflect the impact of reduced advertising revenues due to fallout from the the public health crisis.

But even without the impact of COVID-19 on Twitter’s primary business of advertising, the company had been facing a tough time leading into the quarter. Like eBay, Twitter has been the subject of activist investor activity pushing for leadership and operational changes to improve growth and profitability. (Coincidentally, the same activist investor, Elliott, has been behind both efforts.) Unlike eBay, however, Twitter has managed to keep its CEO in place — co-founder Jack Dorsey — but has had to concede board seats as part of a wider financing package and strategy to refocus the business. There may be questions on the call today to see if all of that has been put on ice given how other factors are now in play.

One outcome from the deal it had cut with investors was to provide more actionable plans that translated to growth and profit, and on that front at least Twitter is playing ball.

It notes that it has “shifted resources and priorities to increase focus on our revenue products, particularly performance ads beginning with MAP [mobile application promotion ads], with the goal of accelerating our long-term roadmap.” This has included an ad server rebuild that should be finished by the end of Q2 to implement microservices architecture for more efficiency and to make it easier to make changes on the fly. It’s also implementing direct response advertising, also with the aim of adding new features that it can charge advertisers for.

We have increased our focus and the relative prioritization of our revenue products, and will shift and add product and engineering resources as practical to increase our pace of execution on this critical work,” it noted in the earnings letter.

Breaking out some specific numbers, advertising accounted for the lion’s share of sales at $682 million, with data licensing making up much of the remainder. US revenues were $468 million, up 8% year-over-year, while international was at $339 million, down 4%.

No layoffs announced (not yet) but as with others like Spotify, Twitter is putting a hold on hiring. The company had committed to increase headcount this year by at least 20% (alongside its CEO relocating to Africa temporarily and many other optimistic plans) but this is now being slowed down — to what extent, it did not say, but it did note that 2020 total expense growth would now be “considerably less” than the 20% it had projected.

More to come.

TechCrunch

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OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20

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Open AI - Chat GPT

OpenAI, the leading artificial intelligence research laboratory, has launched a new product – ChatGPT Plus. The new product is an advanced version of its previous language model, ChatGPT, and is available for a monthly subscription of $20. The company aims to provide a more sophisticated and efficient conversational AI tool to its users through this new product.

ChatGPT Plus is a state-of-the-art language model that uses advanced deep learning algorithms to generate human-like responses to text inputs. The model has been trained on a massive corpus of text data, allowing it to generate coherent and contextually relevant responses. The model is designed to handle a wide range of conversational topics and can be integrated into various applications, such as chatbots, customer support systems, and virtual assistants.

One of the main advantages of ChatGPT Plus over its predecessor, ChatGPT, is its ability to generate responses in a more human-like manner. The model has been fine-tuned to incorporate more advanced language processing techniques, which enable it to better understand the context and tone of a conversation. This makes it possible for the model to generate more nuanced and appropriate responses, which can greatly improve the user experience.

In addition to its advanced language processing capabilities, ChatGPT Plus also offers improved performance in terms of response generation speed and efficiency. The model has been optimized to run on faster hardware and has been fine-tuned to generate responses more quickly. This makes it possible for the model to handle a larger volume of requests, making it an ideal solution for businesses with high traffic websites or customer support centers.

The monthly subscription fee of $20 for ChatGPT Plus makes it an affordable solution for businesses of all sizes. The company has designed the pricing model in such a way that it is accessible to businesses of all sizes, regardless of their budget. This makes it possible for small businesses to take advantage of advanced conversational AI technology, which can greatly improve their customer engagement and support.

OpenAI has also made it easy to integrate ChatGPT Plus into various applications. The company has provided a comprehensive API that allows developers to easily integrate the model into their applications. The API supports a wide range of programming languages, making it possible for developers to use the technology regardless of their preferred programming language. This makes it possible for businesses to quickly and easily incorporate conversational AI into their operations.

In conclusion, OpenAI’s launch of ChatGPT Plus is a significant development in the field of conversational AI. The new product offers advanced language processing capabilities and improved performance, making it an ideal solution for businesses of all sizes. The affordable pricing model and easy integration make it accessible to businesses of all sizes, and the advanced language processing capabilities make it possible for businesses to improve their customer engagement and support. OpenAI’s ChatGPT Plus is set to revolutionize the conversational AI industry and bring advanced technology within the reach of businesses of all sizes.

Visit OpenAI.com to read more and to get the latest news about ChatGPT.

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What can ChatGPT do?

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ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

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Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]Searchenginejournal.com

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