Power

Quibi hoped for 7.5 million subscribers in year one. An analyst says it’s at 72,000.

Sensor Tower says that only 8% of the people who signed up for free trials have stuck around when it comes time to pay.

Meg Whitman in front of a screen

There's a sense that Quibi missed its moment, launching a service optimized for on-the-go viewing during shelter-in-place.

Photo: Janko Roettgers/Protocol

Only 72,000 of Quibi's early subscribers have stuck around past their 90-day trial, according to new estimates from app analytics specialist Sensor Tower. The short-form video service's apps have been downloaded around 4.5 million times since Quibi's launch in early April, Sensor Tower estimated Wednesday. Among the consumers who downloaded the service within three days of its launch, only 8% converted to a paid subscription.

Consumers who signed up for Quibi on day one saw their 90-day trial expire earlier this week. Randy Nelson, Sensor Tower's head of mobile insights, conceded that the company is likely going to see additional customers switch to a paid plan in the coming days and weeks. "We're seeing some indication that the conversion rate may be improving slightly with time," Nelson told Protocol. "But if the upper bound of 8% we've calculated for those who adopted the app in its first 72 hours were to remain consistent, it would produce about 360,000 paid users from the current drop of 4.5 million installs."

A Quibi spokesperson disputed Sensor Tower's numbers, telling Protocol: "To date, over 5.6 million people have downloaded the Quibi app. Our conversion from download to trial is above mobile app benchmarks, and we are seeing excellent conversion to paid subscribers — both among our 90-day free trial sign-ups from April, as well as our 14-day free trial sign-ups from May and June."

An 8% conversion isn't great news for Quibi, but it's not completely out of the ordinary. Disney+ converted around 11% of its trial customers, according to Sensor Tower estimates. However, Disney's streaming service attracted many more consumers than Quibi to begin with, and the entertainment giant also benefited from a massive prelaunch campaign.

Quibi's original goal reportedly was to attract 7.5 million paying subscribers during year one. That goal seemed to slip out of reach early on. After an initial spike, the Quibi app performed poorly in app stores. There was a sense that Quibi missed its moment, launching a service optimized for on-the-go viewing during shelter-in-place.

Quibi President Jeffrey Katzenberg went as far as blaming all of Quibi's troubles on the pandemic. However, the service also seemingly underestimated the demand for key features, including the ability to share content on social media and to watch shows on TV screens. Quibi's product team, which is led by Snapchat and Pandora veteran Tom Conrad, has since addressed some of these issues with app updates that included the ability to cast content to compatible TV devices.

Updated at 4:27 p.m. to include a statement from Quibi.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins