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Snap acquires Fit Analytics, a fitting technology startup, to double down on fashion and e-commerce



Snap acquires Fit Analytics, a fitting technology startup, to double down on fashion and e-commerce

“Snap, Inc. is a camera company,” Snap notes on its homepage, and while a lot of its effort up to now have been about using that camera ethos to help people share images of their lives with their social circles on its flagship app Snapchat, today the company made an acquisition to further that camera reach in another direction: selling fashion and more generally, e-commerce and shopping.

Snap today confirmed that it has acquired Fit Analytics, a startup based in Berlin that has built technology to help shoppers find the right-sized apparel and footwear from online retailers, along with a wider set of personalization tools and other analytics to help retailers figure out how to sell more overall.

Fit Analytics already works with a number of big retailers, including North Face, Asos, Calvin Klein, Patagonia, Puma, and many more — in all, some 18,000 retailers already.

In other words, Snap is adding not just a technology team — there are 100 staff at the company, based in Berlin, who will be reporting to Snap VP of Engineering Nima Khajehnouri — but a substantial e-commerce technology business into its portfolio.

Fit Analytics has confirmed that it will be continuing to operate its existing business, while also working on helping Snap build out its shopping platform.

If you are a Fit Analytics partner, this is only the beginning,” Fit Analytics’ CEO and co-founder Sebastian Schulze wrote in a blog post announcing the deal. “By leveraging Snap’s scale and capabilities, we will not only continue to service our existing clients, but also deepen our relationships and offerings with our brand partners and retailers. Our main focus going forward will be to scale the Fit Analytics business and work with Snap to grow their shopping platform, leveraging our technology and expertise. Our teams will be jointly executing on next-gen shopping, fashion and style offerings.”

Fit Analytics’ technology lets people enter their own measurements into a tool that uses machine learning to match those dimensions up to the clothes or shoes in question to find the best fit.

Notably, although it is not the focus for the company right now, Fit Analytics also has built technology to match clothing using images that customers upload themselves — an interesting area considering Snap’s focus on the visual experience, on visuals created by its users — and of course the features it has built around lenses and other augmented reality experiences to let people play with different versions of themselves and how they look.

The terms of the deal are not being disclosed. Fit Analytics, which used to be called UpCload (and actually launched back in 2011 at a TC Disrupt event in Beijing focused mainly on “webcam” technology — this was the days before smartphone-created selfies were de rigueur) had disclosed less than $1 million in funding according to PitchBook data, although that list of customers implies that it was generating strong revenues.

Social shopping spree

Snap’s acquisition of Fit Analytics pulls on a few different strategic threads for the social media company.

For starters, it will give Snap another way to diversify its revenues. The company is now making nearly $1 billion a quarter in revenues (in its Q4 earnings, it posted sales of $911 million). The majority of that is coming from advertising on Snapchat, so Snap is naturally looking for other ways of making money.

Whether Fit Analytics is integrated into Snapchat or not, and regardless of what will happen with how Apple and Google let apps monetize on their mobile platforms, Fit Analytics is already likely pulling in a substantial amount of revenue by way of its e-commerce services for retailers.

Covid-19 has led a lot of retailers to rethink how well their e-commerce experiences work, and that could have meant more activity for companies like Fit Analytics. All that will now be funneled on to Snap’s balance sheet.

Its advertising business, meanwhile, reveals that Snap already has a substantial relationship with fashion and beauty brands.

In those Q4 earnings alone, it noted augmented reality campaigns with NYX Professional Makeup and Ralph Lauren, as well as a partnership with Perfect Corp for 200 beauty brands to upload catalogs to the Snap Camera for augmented reality try-on. Fit Analytics will help it deepen those engagements, by giving Snap another range of features that it can build out for those customers. Come for the AR filter to see how you look in a Ralph Lauren sweater, and then…shop the look.

In addition to diversifying its revenues, it could be a sign of how Snap is diversifying the kinds of bells and whistles it’s providing for its audience. Again, Snap is not commenting on how and when it plans to integrate Fit Analytics’ tools, but it is notable that Snapchat’s core audience of teen and younger users also happens to be a major target for fashion retailers, too.

Clothing, fashion accessories and shoes together made up some 33% of US teenagers’ spend in Fall 2020, according to research from Piper Sandler, against other categories like video games, music, and food. (Books got a paltry 1% – I guess they didn’t survey many bookish types…)

Slicing up the pie somewhat differently, Piper Sandler said that the majority of spend, 40%, was dedicated to “How I Look (aka the Selfie Budget)” — putting what Fit Analytics enables more squarely in the same categories that Snap is also looking to address.

Sidenote: Piper Sander’s research shows that Amazon is far and away the biggest destination for fashion shopping right now for teens, which shows how fragmented the D2C market is.

That also sets up an interesting opportunity for Snap, by way of Snapchat, to provide another shopping channel for those D2C brands, while also riding on the coattails, so to speak, of Instagram and its growing role in the world of social media-based commerce.

At its core, Fit Analytics’ tools are part of what you might think of as the “missing link” in fashion e-commerce.

The benefits of online commerce are pretty extensive: people can shop whenever they want; they can get a much bigger selection of items, since the retail “space” is limited only by the time shoppers want to commit to shopping; they can get more personalised experiences; and they are increasingly getting a diversified range of delivery options and times.

The biggest drawback has, of course, been in the lack of “hands-on” interaction.

Put more simply, you have no way of trying on clothes and shoes, leading to the other big pain point: returns. Fit Analytics is part of the army of startups that have been building technology to fill that gap: others have included companies that provide visualizations of how clothes can look on a person.

Notably, these are areas where Amazon has also been making significant investments — in addition to making acquisitions like the 3D modeling startup Body Labs, it has launched a plethora of services to make it easier for people to buy from it, such as its try-on-and-return feature Prime Wardrobe. The e-commerce giant has a lot of weapons in its arsenal, but technology undoubtedly has been helping it win the fashion commerce race. 

Snap has made about 20 acquisitions to date, covering areas like advertising technology, location-based services, services to further the company’s AI and augmented reality products, and forays into music. Fit Analytics appears to be the first focused on shopping and e-commerce, and specifically fashion, but if its interest in shopping continues to grow, I wouldn’t be surprised if it’s the last.



OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20



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 to read more and to get the latest news about ChatGPT.

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What can ChatGPT do?



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



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.


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

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