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Tuesday, January 22, 2019

The Pill Club raises $51M as VCs find new opportunities in women’s health

Through telemedicine and direct-to-consumer sales platforms, startups are streamlining the historically arduous process of accessing contraception.

The latest effort to secure a significant financing round is The Pill Club, an online birth control prescription and delivery service. Consumer-focused investor VMG Partners has led its $51 million Series B, with participation from new investors GV and ACME Capital (formerly known as Sherpa Capital), and existing investors Base10 Partners and Shasta Ventures. The Pill Club declined to disclose its valuation.

Launched in 2016 in San Carlos, California, The Pill Club couples healthcare services with at-home delivery, reaching customers in all 50 states. With a team of doctors, nurses and patient care coordinators, the startup operates its own pharmacy and is licensed to prescribe medication in 35 states. With the new funding, which brings its total raised to $67 million, founder and chief executive officer Nick Chang said he plans to scale the business 50 percent and expand its prescription service across the entire U.S.

“At the end of the day, our company is about empowering women,” Chang told TechCrunch. “What does that mean? It means empowering our patients to make their own healthcare decisions and making reproductive healthcare more common — something to not be shy about or worried about.”

Chang, who has spent his career in medicine and holds an M.D. from Duke University, previously founded Ganogen. The business, which sought to facilitate patient’s access to organ donors, ultimately shut down but was a catalyst to The Pill Club’s formation, as were experiences from Chang’s youth.

“I [grew] up with an older sister who was on birth control since she was 14 for menstrual regulation,” Chang said. “She really felt embarrassed to pick up the medication and to talk to anyone about it and that was really insightful for me. There are so many hurdles in accessing birth control besides clinics being around.”

Some 67 million women between the ages of 13 to 44 live in the U.S.; 19 million of them live in contraceptive deserts, or areas that lack reasonable access to public clinics. The Pill Club wants to eliminate those deserts, as do other companies in the digital health arena.

Digital health has remained one of the hottest destinations for VC investment. In 2018, investors put about $4.5 billion into U.S. companies in the sector, a 17 percent increase year-over-year, according to PitchBook data. Telemedicine startups garnered a record $1.25 billion in funding in that timeframe thanks to large financings for industry leader Oscar, a health insurance startup that raised $540 million in 2018 alone; as well as an $88 million Series A for newcomer Roman, which offers a cloud pharmacy for erectile dysfunction.

Startups focused on women’s health, meanwhile, have continued to garner more attention from VCs. These companies, including The Pill Club and comepetitor Nurx, have not only benefited from the rapid rise of telehealth, but also from a societal shift sparked in part by President Donald Trump and Republican lawmakers’ attempts to limit women’s access to birth control.

“People want to talk about this,” Chang said. “With so much happening from Hollywood to politics … it’s really got some people to say ‘ok, we really need to talk about what we are prioritizing as a society.'”

In addition to accelerating the expansion of its 260-person team, The Pill Club plans to use the investment to explore launching more services within women’s healthcare and to broaden the educational content it offers its customers.

“This is just the beginning of a much broader and bigger movement,” Chang said.



https://ift.tt/eA8V8J The Pill Club raises $51M as VCs find new opportunities in women’s health https://tcrn.ch/2R6DeVF

UK startup veteran and investor Wendy Tan White joins Google X as Vice President

Wendy Tan White, a veteran of the U.K. startup scene — including founding SaaS website builder Moonfruit, which exited to Yell Group for $37 million — is joining Google X, TechCrunch has learned.

According to sources, Tan White was approached by Google late last year, as she weighed up a number of other options, including raising a VC fund of her own dedicated to “deep tech”. Ultimately, she’s decided to join Google X, where she’ll hold the position of Vice President and will be part of the leadership team.

I understand she’ll be reporting directly Astro Teller, the head of X. “She will be managing, mentoring and supporting a range of teams across X,” a source tells me.

As well as founding and exiting Moonfruit with her husband Joe, Tan White has recently been a very active investor in the U.K., both in a personal capacity and has an advisor and former Partner at BGF Ventures, the early-stage U.K. venture capital fund. She led led the Open Cosmos Series A for BGF, and is an investor in banking app Cleo, amongst others.

Prior to BGF, she was a General Partner at Entrepreneur First, the London-headquartered deep tech company builder, which is backed by Greylock, and remains a popular figure amongst EF alumni.

(Her husband, Joe Tan White, will remain in his current post as COO of Entrepreneur First, I’m told.)

Wendy Tan White is also a Board Trustee of the Alan Turing Institute (the U.K.’s National AI Institute), a Member of the UK Digital Economy Council, on the Board of TechNation and Imperial College, DoC. She was awarded an MBE for services to business and technology in 2016 and Women in IT, Business Role Model of the Year 2017.



https://ift.tt/eA8V8J UK startup veteran and investor Wendy Tan White joins Google X as Vice President https://tcrn.ch/2U6CDFn

Just Eat acquires restaurant software platform Flyt for £22M

Just Eat, the takeout marketplace and food delivery service, has acquired Flyt, a startup that offers software for restaurants and restaurant suppliers. The acquisition price is £22 million, which Just Eat says it has financed from cash reserves.

“A further cash consideration may also be payable subject to certain operational and financial criteria being met over the next three years,” discloses the company.

Notably, Just Eat was already one of Flyt’s investors, but this deal sees the takeout behemoth become a majority owner. Existing investors, including Time Out and Entree Capital, have exited. The company is thought to have raised close to £12 million since being founded in 2013.

Described as a leading software platform that helps restaurant groups and restaurant suppliers integrate their point of sale (POS) systems with third-party services, Flyt has obvious synergies with Just Eat, providing technology that helps improve the experience of ordering online.

Better POS integration with various third-party services can help improve a restaurant’s customer experience and its operational efficiency. Specifically, Flyt says its technology platform removes the need for manual restaurant processes, reduces driver wait times in restaurants, and eliminates human error in order processing.

To that end, Flyt currently works with over 3,000 quick service and branded restaurants, including some of the U.K. and world’s largest brands such as KFC, Tim Hortons, Mitchells and Butlers, Pizza Express and Nando’s.

Despite now being owned by Just Eat, the company says it will continue to operate as a standalone platform and brand. Founders Tom Weaver and Chris Evans will continue to lead the business.

As a footnote, prior to the acquisition, Just Eat owned an 8 percent stake. The takeout marketplace says the acquisition will enable it to accelerate the development of Flyt’s technology and offer Flyt’s services to more of its restaurant partners globally.

Peter Duffy, Interim CEO of Just Eat comments: “Bringing Flyt into our Group will accelerate the take-up of these services around the world and allow the Flyt team to innovate with new and exciting technology solutions for the industry. We’ve admired Flyt for some time and are hugely impressed by their technology – integration between Just Eat and our restaurant partners is a critical component to providing world-class food delivery services”.



https://ift.tt/eA8V8J Just Eat acquires restaurant software platform Flyt for £22M https://tcrn.ch/2Mpn7SD

TaxScouts, the UK startup that helps prepare your taxes, picks up £1.2M led by SpeedInvest

TaxScouts, the U.K. “tax preparation” startup founded by TransferWise and Marketinvoice alumni, has created some new paperwork of its own. The London-based company has raised £1.2 million in seed funding.

Leading the new round is SpeedInvest, with participation from Finch Capital and SeedCamp. It adds to £300,000 in pre-seed investment that TaxScouts announced six months ago.

Combining “automation” with a network of human accountants, TaxScouts’ service is designed to support you through your annual tax filing preparation and submission. However, the headline draw is that the company charges a flat fee of £99 if you pay in advance, and promises a turn-around of just 24 hours.

To achieve this, the web app walks you through your tax status, income and expenses without assuming too much prior knowledge. This includes asking you to upload or take a photo of any required documents, such as invoices or dividend certificates. The idea is that all of the admin is captured digitally and packaged up ready for an assigned accountant to check.

Last year, I took the service for a spin, the first time in years that I haven’t left my tax return to the last minute. The accountant assigned to me was helpful and his advice seemed quite good. Most importantly, the communication was speedy, both over text and in a call we needed to have to talk through the pros and cons of two alternative ways to expense a car for work.

Meanwhile, I’m told accountants like the service, too, as it potentially enables small practices to scale and therefore take on more clients. Powering this is TaxScouts’ client management system for accountants, which the startup claims is saving 3-5 days of work per month for its accounting partners.

To that end, TaxScouts says it hopes to quadruple its network of accountant partners by the end of 2019. Its longer term aim is reduce the workload of accountants by 80 percent through further “process automation and digital data processing”.

“With an ever increasing amount of people in the UK experiencing non-standard income and with late fines amounting to billions last tax season alone, the time is better than ever to fundamentally redefine the experience,” says Anthony Danon, Principal at SpeedInvest.

“TaxScouts has built automation that brings simplicity, speed and convenience through a unique approach that creates shared value across taxpayers and accountants. We are excited to be backing such a product-minded team that has led product and engineering in some of U.K.’s best fintech startup stories”.



https://ift.tt/eA8V8J TaxScouts, the UK startup that helps prepare your taxes, picks up £1.2M led by SpeedInvest https://tcrn.ch/2T7zgOi

Axa Venture Partners raises $150 million early-stage fund

Axa Venture Partners, the venture capital arm of insurance company Axa, is raising an early-stage fund. Today’s new $150 million fund (€130 million) is called AVP Early Stage II.

Previously, Axa Venture Partners had raised a $110 million early-stage fund back in 2015. So far, it has invested in 40 companies, such as Hackajob, K4Connect, Futurae or Zenjob and Happytal.

When it comes to investment strategy, Axa Venture Partners plans to invest in early startups based in Europe, North America and Israel with this new fund. The firm will invest as much as $6 million per company.

Axa Venture Partners also operates a growth fund and invests in other funds through a fund of funds. And the firm has offices in Paris, London, San Francisco and New York.



https://ift.tt/eA8V8J Axa Venture Partners raises $150 million early-stage fund https://tcrn.ch/2Mst9BW

Monday, January 21, 2019

After raising $125M, Munchery fails to deliver

On-demand food delivery startup Munchery is ceasing operations effective immediately, the startup announced in an e-mail to customers on Monday.

Founded in 2010, the San Francisco-based business had raised a total of $125 million in venture capital funding, reaching a valuation of $300 million with an $87 million round in 2015, according to PitchBook. Munchery was backed by Greycroft, ACME Ventures (formerly known as Sherpa Capital), Menlo Ventures, e.Ventures, Cota Capital, M13 and more.

“Since 2010, we have been committed to bringing fresh, local, and delicious meals into your homes along with all our customers across the country,” the company wrote in today’s e-mail announcement. “We’ve been delighted to work with world-renowned chefs, experiment with diverse and unique ingredients and recipes, and be a part of your holiday feasts and traditions. We have also enjoyed giving back to our community through meal donations, volunteer service, and so much more.”

The news comes as little surprise considering Munchery laid off 257 employees, or 30 percent of its workforce, in May after shutting down its Seattle, Los Angeles and New York operations. At the time, the company said it planned to double down on its biggest market, San Francisco, which would help it “achieve profitability on the near term, and build a long-term, sustainable business.”

Munchery, however, failed to deliver on those promises. On top of the 2018 layoffs, Munchery for years struggled to navigate the challenging plains of on-demand food delivery. To stay afloat, the startup shape-shifted quite a bit from originally launching as a ready-to-eat meal delivery service to delivering meal-kits to creating an $8.95 a month subscription plan for repeat customers and finally, opening up a shop inside a San Francisco BART station in a bid to win over the commuter crowd.

Munchery is just the latest in a line of food delivery startups to shutter. Doughbies, an on-demand cookie delivery business, closed its doors in 2018. Sprig, Maple and Josephine are amongst the others to falter under the pressure of a crowded market.

Munchery didn’t immediately respond to a request for comment.



https://ift.tt/eA8V8J After raising $125M, Munchery fails to deliver https://tcrn.ch/2R7aex8

Roger Dickey ditches $32M-funded Gigster to start Untitled Labs

{rss:content:encoded} Roger Dickey ditches $32M-funded Gigster to start Untitled Labs https://tcrn.ch/2R4j7Y5 https://tcrn.ch/2RH4ZJP January 21, 2019 at 11:36PM

Most founders don’t walk away from their startup after raising $32 million and reaching 1000 clients. But Roger Dickey’s heart is in consumer tech, and his company Gigster had pivoted to doing outsourced app development for enterprises instead of scrappy entrepreneurs.

So today Dickey announced that he’d left his role as Gigster CEO, with former VMware VP Christopher Keane who’d sold it his startup WaveMaker coming in to lead Gigster in October. Now, Dickey is launching Untitled Labs, a “search lab” designed to test multiple consumer tech ideas in “social and professional networking, mobility, personal finance, premium services, health & wellness, travel, photography, and dating” before building out one

Untitled Labs is starting off with $2.8 million in seed funding from early Gigster investors and other angels including Founders Fund, Felicia Ventures, Caffeinated Capital, Joe Montana’s Liquid Ventures, Ashton Kutcher, Nikita Bier of TBH (acquired by Facebook), and Zynga co-founder Justin Waldron.

Investors lined up after seeing the success of Dickey’s last two search labs. In 2007, his Curiosoft lab revamped classic DOS game Drugwars as a Facebook game called Dopewars and sold it to Zynga where it became the wildly popular Mafia Wars. He did it again in 2014, building Gigster out of Liquid Labs and eventually raising $32 million for it in rounds led by Andreessen Horowitz and Redpoint. Dickey had proven he wasn’t just dicking around and his search labs could experiment their way to an A-grade startup.

“I loved learning about B2B but over the years I realized my true passions were in consumer and I kinda got the itch to try something new” Dickey tells me. “These things happen in the life-cycle of a company. The person who starts it isn’t always the same person to take it to an IPO. Gigster’s doing incredibly well. It was just a really vanilla separation in the best interest of all parties.”

Gigster co-founders (from left): Debo Olaosebikan and Roger Dickey

Gigster’s remaining co-founder and CTO Debo Olaosebikan will stay with the startup, but tells me he’ll be “moving away from a lot of the day-to-day management.” He’ll be in a more public facing role, evangelizing the vision of digital transformation to big clients hoping Gigster can equip them with the apps their customers demand. “We’ve gotten to a really good place on the backs of the founders and to get it to the next level inside of enterprise, having people who’ve done this, lived this, worked in enterprise for a long time makes sense for the company.”

Olaosebikan and Dickey both confirm there was no misconduct or other funny business that triggered the CEO’s departure, and he’ll stay on the Gigster board. Dickey tells me that Gigster’s business managing teams of freelance product managers, engineers, and designers to handle product development for big clients has grown revenue every quarter. It now has 1200 clients including almost 10% of Fortune 500 companies. Olaosebikan says “We have a great repeatable sales model. We can grow profitably and then we can figure out financing. We’re not in a hurry to raise money.”

Since leaving Gigster, Dickey has been meeting with investors and entrepreneurs to noodle on what’s in their “idea shelf” — the product and company concepts these techies imagine but are too busy to implement themselves. Meanwhile, he’s seeking a few elite engineers and designers to work through Untitled’s prospects.

Dickey said he came up with the “search labs” definition since he and others had found success with the strategy that no one had formalized. The search labs model contrasts with three other ways people typically form startups:

  • Traditional Startup: Founders come up with one idea and raise from venture firms to build it into a company that’s quick to start and lets them keep a lot of equity, but these startups often fail because they lack product market fit. Examples: Facebook, SpaceX.
  • Startup Accelerators and Incubators: Founders come up with one idea and enter an accelerator or incubator that provides funding and education for lots of startups in exchange for a small slice of equity. Founders sometimes learn their idea won’t work and pivot during the program, which is why accelerators seek to fund great teams, but otherwise operate traditionally. Examples: Y Combinator, 500 Startups.
  • Startup Studio: The studios’ founders work with entrepreneurs to come up with a small number of ideas while keeping a significant of the equity. The entrepreneurs operate semi-autonomously but with the advantage of shared resources. Examples: Expa, Betaworks.
  • Search Lab: Founders conceptualize and experiment with a small number of startup ideas, then focus the company around the most promising prototype. Examples: Untitled Labs, Midnight Labs (turned into TBH)

Dickey tells me that after 80 angel investments, going to every recent Y Combinator Demo Day, and talking with key players across the industry, the search lab method was the best way to hone in on his best idea rather than just going on a hunch. Given that approach, he went with “Untitled” so he could save the branding work for when the right product emerges. Dickey concludes “We’re trying to keep it really barebones. We don’t have an office, don’t have a logo, and we’re not going to make swag. We’re just going to find the next business as efficiently as possible.”

Roger Dickey ditches $32M-funded Gigster to start Untitled Labs

Most founders don’t walk away from their startup after raising $32 million and reaching 1000 clients. But Roger Dickey’s heart is in consumer tech, and his company Gigster had pivoted to doing outsourced app development for enterprises instead of scrappy entrepreneurs.

So today Dickey announced that he’d left his role as Gigster CEO, with former VMware VP Christopher Keane who’d sold it his startup WaveMaker coming in to lead Gigster in October. Now, Dickey is launching Untitled Labs, a “search lab” designed to test multiple consumer tech ideas in “social and professional networking, mobility, personal finance, premium services, health & wellness, travel, photography, and dating” before building out one

Untitled Labs is starting off with $2.8 million in seed funding from early Gigster investors and other angels including Founders Fund, Felicia Ventures, Caffeinated Capital, Joe Montana’s Liquid Ventures, Ashton Kutcher, Nikita Bier of TBH (acquired by Facebook), and Zynga co-founder Justin Waldron.

Investors lined up after seeing the success of Dickey’s last two search labs. In 2007, his Curiosoft lab revamped classic DOS game Drugwars as a Facebook game called Dopewars and sold it to Zynga where it became the wildly popular Mafia Wars. He did it again in 2014, building Gigster out of Liquid Labs and eventually raising $32 million for it in rounds led by Andreessen Horowitz and Redpoint. Dickey had proven he wasn’t just dicking around and his search labs could experiment their way to an A-grade startup.

“I loved learning about B2B but over the years I realized my true passions were in consumer and I kinda got the itch to try something new” Dickey tells me. “These things happen in the life-cycle of a company. The person who starts it isn’t always the same person to take it to an IPO. Gigster’s doing incredibly well. It was just a really vanilla separation in the best interest of all parties.”

Gigster co-founders (from left): Debo Olaosebikan and Roger Dickey

Gigster’s remaining co-founder and CTO Debo Olaosebikan will stay with the startup, but tells me he’ll be “moving away from a lot of the day-to-day management.” He’ll be in a more public facing role, evangelizing the vision of digital transformation to big clients hoping Gigster can equip them with the apps their customers demand. “We’ve gotten to a really good place on the backs of the founders and to get it to the next level inside of enterprise, having people who’ve done this, lived this, worked in enterprise for a long time makes sense for the company.”

Olaosebikan and Dickey both confirm there was no misconduct or other funny business that triggered the CEO’s departure, and he’ll stay on the Gigster board. Dickey tells me that Gigster’s business managing teams of freelance product managers, engineers, and designers to handle product development for big clients has grown revenue every quarter. It now has 1200 clients including almost 10% of Fortune 500 companies. Olaosebikan says “We have a great repeatable sales model. We can grow profitably and then we can figure out financing. We’re not in a hurry to raise money.”

Since leaving Gigster, Dickey has been meeting with investors and entrepreneurs to noodle on what’s in their “idea shelf” — the product and company concepts these techies imagine but are too busy to implement themselves. Meanwhile, he’s seeking a few elite engineers and designers to work through Untitled’s prospects.

Dickey said he came up with the “search labs” definition since he and others had found success with the strategy that no one had formalized. The search labs model contrasts with three other ways people typically form startups:

  • Traditional Startup: Founders come up with one idea and raise from venture firms to build it into a company that’s quick to start and lets them keep a lot of equity, but these startups often fail because they lack product market fit. Examples: Facebook, SpaceX.
  • Startup Accelerators and Incubators: Founders come up with one idea and enter an accelerator or incubator that provides funding and education for lots of startups in exchange for a small slice of equity. Founders sometimes learn their idea won’t work and pivot during the program, which is why accelerators seek to fund great teams, but otherwise operate traditionally. Examples: Y Combinator, 500 Startups.
  • Startup Studio: The studios’ founders work with entrepreneurs to come up with a small number of ideas while keeping a significant of the equity. The entrepreneurs operate semi-autonomously but with the advantage of shared resources. Examples: Expa, Betaworks.
  • Search Lab: Founders conceptualize and experiment with a small number of startup ideas, then focus the company around the most promising prototype. Examples: Untitled Labs, Midnight Labs (turned into TBH)

Dickey tells me that after 80 angel investments, going to every recent Y Combinator Demo Day, and talking with key players across the industry, the search lab method was the best way to hone in on his best idea rather than just going on a hunch. Given that approach, he went with “Untitled” so he could save the branding work for when the right product emerges. Dickey concludes “We’re trying to keep it really barebones. We don’t have an office, don’t have a logo, and we’re not going to make swag. We’re just going to find the next business as efficiently as possible.”



https://tcrn.ch/2RH4ZJP Roger Dickey ditches $32M-funded Gigster to start Untitled Labs https://tcrn.ch/2R4j7Y5

Flexciton is using AI to help factories optimise production lines

Flexciton, the London-based startup that is using AI to help factories optimise production lines, has raised £2.5 million in funding, in a round led by Backed VC. Also participating is Join Capital and company builder Entrepreneur First. The young company pitched at EF’s 6th London demo day in 2016.

Riding the so-called “Industry 4.0” wave, Flexciton has developed an AI-driven solution to optimise the way manufacturers plan and schedule “multi-step production lines,” which it says is a complex mathematical task faced by all manufacturers. It’s also traditionally quite a manual one, with existing software solutions still leaving a lot of the heavy lifting to humans.

“Running every factory in the world is a plan for that factory’s production,” explains Flexciton co-founder Jamie Potter. “This plan dictates everything which goes on in the factory. Plan well and a factory can be very profitable but plan badly and the same factory could deliver late on customer orders, overspend on equipment and materials and have its margins destroyed”.

Potter says that typically a human manually creates a plan based on their past experience, which isn’t always optimal. “The difference between an Ok plan and the optimal plan is huge for a factory, planning well can save a single factory many millions of pounds per year. The problem is, finding that optimal plan is one of the hardest mathematical problems that exists in the real world”.

Which, of course, is where more machines can help. Flexciton’s AI technology learns from a factory’s data, and Potter says it can understand exactly how that factory works. “It can then search through the trillions of different options to find the most efficient production plan. The results can be staggering too as our technology has shown time and again that it is capable of double-digit performance gains to a factory!” he says.

Already revenue-generating, Flexciton has customers in the textiles, food, automotive and semiconductor sectors. “We love to work with particularly complicated factories. Here the planning problem is the hardest and this is where we add the most value,” says Potter.

To back this up, Flexciton has recruited a number of experts in the field of industrial optimisation and AI. The current Flexciton team has published over 140 peer-reviewed academic papers, which focus on the practical application of this technology in eight different industrial use cases. To boot, Flexciton’s senior optimisation scientist, Dr. Giorgos Kopanos, has even published a book on the subject.



https://ift.tt/eA8V8J Flexciton is using AI to help factories optimise production lines https://tcrn.ch/2QZC12p

Sunday, January 20, 2019

The case against behavioral advertising is stacking up

No one likes being stalked around the Internet by adverts. It’s the uneasy joke you can’t enjoy laughing at. Yet vast people-profiling ad businesses have made pots of money off of an unregulated Internet by putting surveillance at their core.

But what if creepy ads don’t work as claimed? What if all the filthy lucre that’s currently being sunk into the coffers of ad tech giants — and far less visible but no less privacy-trampling data brokers — is literally being sunk, and could both be more honestly and far better spent?

Case in point: This week Digiday reported that the New York Times managed to grow its ad revenue after it cut off ad exchanges in Europe. The newspaper did this in order to comply with the region’s updated privacy framework, GDPR, which includes a regime of supersized maximum fines.

The newspaper business decided it simply didn’t want to take the risk, so first blocked all open-exchange ad buying on its European pages and then nixed behavioral targeting. The result? A significant uptick in ad revenue, according to Digiday’s report.

“NYT International focused on contextual and geographical targeting for programmatic guaranteed and private marketplace deals and has not seen ad revenues drop as a result, according to Jean-Christophe Demarta, SVP for global advertising at New York Times International,” it writes.

“Currently, all the ads running on European pages are direct-sold. Although the publisher doesn’t break out exact revenues for Europe, Demarta said that digital advertising revenue has increased significantly since last May and that has continued into early 2019.”

It also quotes Demarta summing up the learnings: “The desirability of a brand may be stronger than the targeting capabilities. We have not been impacted from a revenue standpoint, and, on the contrary, our digital advertising business continues to grow nicely.”

So while (of course) not every publisher is the NYT, publishers that have or can build brand cachet, and pull in a community of engaged readers, must and should pause for thought — and ask who is the real winner from the notion that digitally served ads must creep on consumers to work?

The NYT’s experience puts fresh taint on long-running efforts by tech giants like Facebook to press publishers to give up more control and ownership of their audiences by serving and even producing content directly for the third party platforms. (Pivot to video anyone?)

Such efforts benefit platforms because they get to make media businesses dance to their tune. But the self-serving nature of pulling publishers away from their own distribution channels (and content convictions) looks to have an even more bass string to its bow — as a cynical means of weakening the link between publishers and their audiences, thereby risking making them falsely reliant on adtech intermediaries squatting in the middle of the value chain.

There are other signs behavioural advertising might be a gigantically self-serving con too.

Look at non-tracking search engine DuckDuckGo, for instance, which has been making a profit by serving keyword-based ads and not profiling users since 2014, all the while continuing to grow usage — and doing so in a market that’s dominated by search giant Google.

DDG recently took in $10M in VC funding from a pension fund that believes there’s an inflection point in the online privacy story. These investors are also displaying strong conviction in the soundness of the underlying (non-creepy) ad business, again despite the overbearing presence of Google.

Meanwhile, Internet users continue to express widespread fear and loathing of the ad tech industry’s bandwidth- and data-sucking practices by running into the arms of ad blockers. Figures for usage of ad blocking tools step up each year, with between a quarter and a third of U.S. connected device users’ estimated to be blocking ads as of 2018 (rates are higher among younger users).

Ad blocking firm Eyeo, maker of the popular AdBlock Plus product, has achieved such a position of leverage that it gets Google et al to pay it to have their ads whitelisted by default — under its self-styled ‘acceptable ads’ program. (Though no one will say how much they’re paying to circumvent default ad blocks.)

So the creepy ad tech industry is not above paying other third parties for continued — and, at this point, doubly grubby (given the ad blocking context) — access to eyeballs. Does that sound even slightly like a functional market?

In recent years expressions of disgust and displeasure have also been coming from the ad spending side too — triggered by brand-denting scandals attached to the hateful stuff algorithms have been serving shiny marketing messages alongside. You don’t even have to be worried about what this stuff might be doing to democracy to be a concerned advertiser.

Fast moving consumer goods giants Unilever and Procter & Gamble are two big spenders which have expressed concerns. The former threatened to pull ad spend if social network giants didn’t clean up their act and prevent their platforms algorithmically accelerating hateful and divisive content.

While the latter has been actively reevaluating its marketing spending — taking a closer look at what digital actually does for it. And last March Adweek reported it had slashed $200M from its digital ad budget yet had seen a boost in its reach of 10 per cent, reinvesting the money into areas with “‘media reach’ including television, audio and ecommerce”.

The company’s CMO, Marc Pritchard, declined to name which companies it had pulled ads from but in a speech at an industry conference he said it had reduced spending “with several big players” by 20 per cent to 50 per cent, and still its ad business grew.

So chalk up another tale of reduced reliance on targeted ads yielding unexpected business uplift.

At the same time, academics are digging into the opaquely shrouded question of who really benefits from behavioral advertising. And perhaps getting closer to an answer.

Last fall, at an FTC hearing on the economics of big data and personal information, Carnegie Mellon University professor of IT and public policy, Alessandro Acquisti, teased a piece of yet to be published research — working with a large U.S. publisher that provided the researchers with millions of transactions to study.

Acquisti said the research showed that behaviourally targeted advertising had increased the publisher’s revenue but only marginally. At the same time they found that marketers were having to pay orders of magnitude more to buy these targeted ads, despite the minuscule additional revenue they generated for the publisher.

“What we found was that, yes, advertising with cookies — so targeted advertising — did increase revenues — but by a tiny amount. Four per cent. In absolute terms the increase in revenues was $0.000008 per advertisment,” Acquisti told the hearing. “Simultaneously we were running a study, as merchants, buying ads with a different degree of targeting. And we found that for the merchants sometimes buying targeted ads over untargeted ads can be 500% times as expensive.”

“How is it possible that for merchants the cost of targeting ads is so much higher whereas for publishers the return on increased revenues for targeted ads is just 4%,” he wondered, posing a question that publishers should really be asking themselves — given, in this example, they’re the ones doing the dirty work of snooping on (and selling out) their readers.

Acquisti also made the point that a lack of data protection creates economic winners and losers, arguing this is unavoidable — and thus qualifying the oft-parroted tech industry lobby line that privacy regulation is a bad idea because it would benefit an already dominant group of players. The rebuttal is that a lack of privacy rules also does that. And that’s exactly where we are now.

“There is a sort of magical thinking happening when it comes to targeted advertising [that claims] everyone benefits from this,” Acquisti continued. “Now at first glance this seems plausible. The problem is that upon further inspection you find there is very little empirical validation of these claims… What I’m saying is that we actually don’t know very well to which these claims are true and false. And this is a pretty big problem because so many of these claims are accepted uncritically.”

There’s clearly far more research that needs to be done to robustly interrogate the effectiveness of targeted ads against platform claims and vs more vanilla types of advertising (i.e. which don’t demand reams of personal data to function). But the fact that robust research hasn’t been done is itself interesting.

Acquisti noted the difficulty of researching “opaque blackbox” ad exchanges that aren’t at all incentivized to be transparent about what’s going on. Also pointing out that Facebook has sometimes admitted to having made mistakes that significantly inflated its ad engagement metrics.

His wider point is that much current research into the effectiveness of digital ads is problematically narrow and so is exactly missing a broader picture of how consumers might engage with alternative types of less privacy-hostile marketing.

In a nutshell, then, the problem is the lack of transparency from ad platforms; and that lack serving the self same opaque giants.

But there’s more. Critics of the current system point out it relies on mass scale exploitation of personal data to function, and many believe this simply won’t fly under Europe’s tough new GDPR framework.

They are applying legal pressure via a set of GDPR complaints, filed last fall, that challenge the legality of a fundamental piece of the (current) adtech industry’s architecture: Real-time bidding (RTB); arguing the system is fundamentally incompatible with Europe’s privacy rules.

We covered these complaints last November but the basic argument is that bid requests essentially constitute systematic data breaches because personal data is broadcast widely to solicit potential ad buys and thereby poses an unacceptable security risk — rather than, as GDPR demands, people’s data being handled in a way that “ensures appropriate security”.

To spell it out, the contention is the entire behavioral advertising business is illegal because it’s leaking personal data at such vast and systematic scale it cannot possibly comply with EU data protection law.

Regulators are considering the argument, and courts may follow. But it’s clear adtech systems that have operated in opaque darkness for years, without no worry of major compliance fines, no longer have the luxury of being able to take their architecture as a given.

Greater legal risk might be catalyst enough to encourage a market shift towards less intrusive targeting; ads that aren’t targeted based on profiles of people synthesized from heaps of personal data but, much like DuckDuckGo’s contextual ads, are only linked to a real-time interest and a generic location. No creepy personal dossiers necessary.

If Acquisti’s research is to be believed — and here’s the kicker for Facebook et al — there’s little reason to think such ads would be substantially less effective than the vampiric microtargeted variant that Facebook founder Mark Zuckerberg likes to describe as “relevant”.

The ‘relevant ads’ badge is of course a self-serving concept which Facebook uses to justify creeping on users while also pushing the notion that its people-tracking business inherently generates major extra value for advertisers. But does it really do that? Or are advertisers buying into another puffed up fake?

Facebook isn’t providing access to internal data that could be used to quantify whether its targeted ads are really worth all the extra conjoined cost and risk. While the company’s habit of buying masses of additional data on users, via brokers and other third party sources, makes for a rather strange qualification. Suggesting things aren’t quite what you might imagine behind Zuckerberg’s drawn curtain.

Behavioral ad giants are facing growing legal risk on another front. The adtech market has long been referred to as a duopoly, on account of the proportion of digital ad spending that gets sucked up by just two people-profiling giants: Google and Facebook (the pair accounted for 58% of the market in 2018, according to eMarketer data) — and in Europe a number of competition regulators have been probing the duopoly.

Earlier this month the German Federal Cartel Office was reported to be on the brink of partially banning Facebook from harvesting personal data from third party providers (including but not limited to some other social services it owns). Though an official decision has yet to be handed down.

While, in March 2018, the French Competition Authority published a meaty opinion raising multiple concerns about the online advertising sector — and calling for an overhaul and a rebalancing of transparency obligations to address publisher concerns that dominant platforms aren’t providing access to data about their own content.

The EC’s competition commissioner, Margrethe Vestager, is also taking a closer look at whether data hoarding constitutes a monopoly. And has expressed a view that, rather than breaking companies up in order to control platform monopolies, the better way to go about it in the modern ICT era might be by limiting access to data — suggesting another potentially looming legal headwind for personal data-sucking platforms.

At the same time, the political risks of social surveillance architectures have become all too clear.

Whether microtargeted political propaganda works as intended or not is still a question mark. But few would support letting attempts to fiddle elections just go ahead and happen anyway.

Yet Facebook has rushed to normalize what are abnormally hostile uses of its tools; aka the weaponizing of disinformation to further divisive political ends — presenting ‘election security’ as just another day-to-day cost of being in the people farming business. When the ‘cost’ for democracies and societies is anything but normal. 

Whether or not voters can be manipulated en masse via the medium of targeted ads, the act of targeting itself certainly has an impact — by fragmenting the shared public sphere which civilized societies rely on to drive consensus and compromise. Ergo, unregulated social media is inevitably an agent of antisocial change.

The solution to technology threatening democracy is far more transparency; so regulating platforms to understand how, why and where data is flowing, and thus get a proper handle on impacts in order to shape desired outcomes.

Greater transparency also offers a route to begin to address commercial concerns about how the modern adtech market functions.

And if and when ad giants are forced to come clean — about how they profile people; where data and value flows; and what their ads actually deliver — you have to wonder what if anything will be left unblemished.

People who know they’re being watched alter their behavior. Similarly, platforms may find behavioral change enforced upon them, from above and below, when it becomes impossible for everyone else to ignore what they’re doing.



from Social – TechCrunch https://ift.tt/eA8V8J The case against behavioral advertising is stacking up Natasha Lomas https://tcrn.ch/2W8RGjZ
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The AI market is growing, but how quickly is tough to pin down

Facebook launches petition feature, its next battlefield

Gather a mob and Facebook will now let you make political demands. Tomorrow Facebook will encounter a slew of fresh complexities with the launch of Community Actions, its News Feed petition feature. Community Actions could unite neighbors to request change from their local and national elected officials and government agencies. But it could also provide vocal interest groups a bully pulpit from which to pressure politicians and bureaucrats with their fringe agendas.

Community Actions embodies the central challenge facing Facebook. Every tool it designs for positive expression and connectivity can be subverted for polarization and misinformation. Facebook’s membership has swelled into such a ripe target for exploitation that it draws out the worst of humanity. You can imagine misuses like “Crack down on [minority group]” that are offensive or even dangerous but some see as legitimate. The question is whether Facebook puts in the forethought and aftercare to safeguard its new tools with proper policy and moderation. Otherwise each new feature is another liability.

Community Actions roll out to the entire US tomorrow after several weeks of testing in a couple of markets. Users can add a title, description, and image to their Community Action, and tag relevant government agencies and officials who’ll be notified. The goal is to make the Community Action go viral and get people to hit the “Support” button. Community Actions have their own discussion feed where people can leave comments, create fundraisers, and organize Facebook Events or Call Your Rep campaigns. Facebook displays the numbers of supporters behind a Community Action, but you’ll only be able to see the names of those you’re friends with or that are Pages or public figures.

Facebook is purposefully trying to focus Community Actions to be more narrowly concentrated on spurring government action than just any random cause. That means it won’t immediately replace Change.org petitions that can range from the civilian to the absurd. But one-click Support straight from the News Feed could massively reduce the friction to signing up, and thereby attract organizations and individuals seeking to maximize the size of their mob.

You can check out some examples here of Community Actions here like a non-profit Colorado Rising calling for the governor to put a moratorium on oil and gas drilling, citizens asking the a Florida’s mayor and state officials to build a performing arts center, and a Philadelphia neighborhood association requesting that the city put in crosswalks by the library.

The launch follows other civic-minded Facebook features like its Town Hall and Candidate Info for assessing politicians, Community Help for finding assistance after a disaster, and local news digest Today In. A Facebook spokesperson who gave us the first look at Community Actions provided this statement:

“Building informed and civically engaged communities is at the core of Facebook’s mission. Every day, people come together on Facebook to advocate for causes they care about, including by contacting their elected officials, launching a fundraiser, or starting a group. Through these and other tools, we have seen people marshal support for and get results on issues that matter to them. Community Action is another way for people to advocate for changes in their communities and partner with elected officials and government agencies on solutions.”

The question will be where Facebook’s moderators draw the line on what’s appropriate as a Community Action, and the ensuing calls of bias that line will trigger. Facebook is employing a combination of user flagging, proactive algorithmic detection, and human enforcers to manage the feature. But what the left might call harassment, the right might call free expression. If Facebook allows controversial Community Actions to persist, it could be viewed as complicit with their campaigns, but could be criticized for censorship if it takes one down. Like fake news and trending topics, the feature could become the social network’s latest can of worms.

Facebook is trying to prioritize local Actions where community members have a real stake. It lets user display “constituent” badges so their elected officials know they aren’t just a distant rabble-rouser. It’s why Facebook will not allow President Donald Trump or Vice President Mike Pence to be tagged in Community Actions. But you’re free to tag all your state representatives demanding nude parks, apparently.

Another issue is how people can stand up against a Community Action. Only those who Support one may join in its discussion feed. That might lead trolls to falsely pledge their backing just to stir up trouble in the comments. Otherwise, Facebook tells me users will have to share a Community Action to their own feed with a message of disapproval, or launch their own in protest. My concern is that an agitated but niche group could drive a sense of false equivocacy by using Facebook Groups or message threads to make it look like there’s as much or more support for a vulgar cause or against of a just one. A politician could be backed into a corner and forced to acknowledge radicals or bad-faith actors lest they look negligent

While Facebook’s spokesperson says initial tests didn’t surface many troubles, the company is trying to balance safety with efficiency and it will consider how to evolve the feature in response to emergent behaviors. The trouble is that open access draws out the trolls and grifters seeking to fragment society. Facebook will have to assume the thorny responsibility of shepherding the product towards righteousness and defining what that even means. If it succeeds, there’s an amazing opportunity here for citizens to band together to exert consensus upon government. A chorus of voices carries much further than a single cry.



from Social – TechCrunch https://tcrn.ch/2DmqPJR Facebook launches petition feature, its next battlefield Josh Constine https://tcrn.ch/2Hm5tjv
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