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In less than a year after raising $25 million in Series B funding, technical assessment company CodeSignal announced a $50 million in Series C funding to offer new features for its platform that helps companies make data-driven hiring decisions to find and test engineering talent.
Similar to attracting a big investor lead for its B round — Menlo Ventures — it has partnered with Index Ventures to lead the C round. Menlo participated again and was joined by Headline and A Capital. This round brings CodeSignal’s total fundraising to $87.5 million.
Co-founder and CEO Tigran Sloyan got the idea for the company from an experience his co-founder and friend Aram Shatakhtsyan had while trying to find an engineering job. Both from Armenia, the two went in different paths for college, with Shatakhtsyan staying in Armenia and Sloyan coming to the U.S. to study at MIT. He then went on to work at Google.
“As companies were recruiting myself and my classmates, Aram was trying to get his resume picked up, but wasn’t getting attention because of where he went to college, even though he was the greatest programmer I had ever known,” Sloyan told TechCrunch. “Hiring talent is the No. 1 problem companies say they have, but here was the best engineer, and no one would bring him in.”
They, along with Sophia Baik, started CodeSignal in 2015 to act as a self-driving interview platform that directly measures skills regardless of a person’s background. Like people needing to take a driver’s test in order to get a license, Sloyan calls the company’s technical assessment technology a “flight simulator for developers,” that gives candidates a simulated evaluation of their skills and comes back with a score and highlighted strengths.
The need by companies to hire engineers has led to CodeSignal growing 3.5 times in revenue year over year and to gather a customer list that includes Brex, Databricks, Facebook, Instacart, Robinhood, Upwork and Zoom.
Sloyan said the company has not yet touched the money it received in its Series B, but wanted to jump at the opportunity to work with Nina Achadjian, partner at Index Ventures, whom he had known for many years since their time together at Google. To work together and for Achadjian to join the company’s board was something “I couldn’t pass up,” Sloyan said.
When Achadjian moved over to venture capital, she helped Sloyan connect to mentors and angel investors while keeping an eye on the company. Hiring engineers is “mission critical” for technology companies, but what became more obvious to her was that engineering functions have become necessary for all companies, Achadjian explained.
While performing due diligence on the space, she saw traditional engineering cultures utilizing CodeSignal, but then would also see nontraditional companies like banks and insurance companies.
“Their traction was undeniable, and many of our portfolio companies were using CodeSignal,” she added. “It is rare to see a company accelerate growth at the stage they are at.”
U.S. Department of Labor statistics estimate there is already a global talent labor shortage of 40 million workers, and that number will grow to over 85 million by 2030. Achadjian says engineering jobs are also expected to increase during that time, and with all of those roles and applicants, vetting candidates will be more important than ever, as will the ability for candidates to apply from wherever they are.
The new funding enabled the company to launch its Integrated Development Environment for candidates to interact with relevant assessment experiences like codes, files and a terminal on a machine that is familiar with them, so that they can showcase their skills, while also being able to preview their application. At the same time, employers are able to assign each candidate the same coding task based on the open position.
In addition, Sloyan intends to triple the company’s headcount over the next couple of months and expand into other use cases for skills assessment.
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More money for the now very buzzy business of reshaping how people work: Worksome is announcing it recently closed a $13 million Series A funding round for its “freelance talent platform” — after racking up 10x growth in revenue since January 2020, just before the COVID-19 pandemic sparked a remote working boom.
The 2017 founded startup, which has a couple of ex-Googlers in its leadership team, has built a platform to connect freelancers looking for professional roles with employers needing tools to find and manage freelancer talent.
It says it’s seeing traction with large enterprise customers that have traditionally used Managed Service Providers (MSPs) to manage and pay external workforces — and views employment agency giants like Randstad, Adecco and Manpower as ripe targets for disruption.
“Most multinational enterprises manage flexible workers using legacy MSPs,” says CEO and co-founder Morten Petersen (one of the Xooglers). “These largely analogue businesses manage complex compliance and processes around hiring and managing freelance workforces with handheld processes and outdated technology that is not built for managing fluid workforces. Worksome tackles this industry head on with a better, faster and simpler solution to manage large freelancer and contractor workforces.”
Worksome focuses on helping medium/large companies — who are working with at least 20+ freelancers at a time — fill vacancies within teams rather than helping companies outsource projects, per Petersen, who suggests the latter is the focus for the majority of freelancer platforms.
“Worksome helps [companies] onboard people who will provide necessary skills and will be integral to longer-term business operations. It makes matches between companies and skilled freelancers, which the businesses go on to trust, form relationships with and come back to time and time again,” he goes on.
“When companies hire dozens or hundreds of freelancers at one time, processes can get very complicated,” he adds, arguing that on compliance and payments Worksome “takes on a much greater responsibility than other freelancing platforms to make big hires easier”.
The startup also says it’s concerned with looking out for (and looking after) its freelancer talent pool — saying it wants to create “a world of meaningful work” on its platform, and ensure freelancers are paid fairly and competitively. (And also that they are paid faster than they otherwise might be, given it takes care of their payroll so they don’t have to chase payments from employers.)
The business started life in Copenhagen — and its Series A has a distinctly Nordic flavor, with investment coming from the Danish business angel and investor on the local version of the Dragons’ Den TV program Løvens Hule; the former Minister for Higher Education and Science, Tommy Ahlers; and family home manufacturer Lind & Risør.
It had raised just under $6M prior to thus round, per Crunchbase, and also counts some (unnamed) Google executives among its earlier investors.
Freelancer platforms (and marketplaces) aren’t new, of course. There are also an increasing number of players in this space — buoyed by a new flush of VC dollars chasing the ‘future of work’, whatever hybrid home-office flexible shape that might take. So Worksome is by no means alone in offering tech tools to streamline the interface between freelancers and businesses.
A few others that spring to mind include Lystable (now Kalo), Malt, Fiverr — or, for techie job matching specifically, the likes of HackerRank — plus, on the blue collar work side, Jobandtalent. There’s also a growing number of startups focusing on helping freelancer teams specifically (e.g. Collective), so there’s a trend towards increasing specialism.
Worksome says it differentiates vs other players (legacy and startups) by combining services like tax compliance, background and ID checks and handling payroll and other admin with an AI powered platform that matches talent to projects.
Although it’s not the only startup offering to do the back-office admin/payroll piece, either, nor the only one using AI to match skilled professionals to projects. But it claims it’s going further than rival ‘freelancer-as-a-service’ platforms — saying it wants to “address the entire value chain” (aka: “everything from the hiring of freelance talent to onboarding and payment”).
Worksome has 550 active clients (i.e. employers in the market for freelancer talent) at this stage; and has accepted 30,000 freelancers into its marketplace so far.
Its current talent pool can take on work across 12 categories, and collectively offers more than 39,000 unique skills, per Petersen.
The biggest categories of freelancer talent on the platform are in Software and IT; Design and Creative Work; Finance and Management Consulting; plus “a long tail of niche skills” within engineering and pharmaceuticals.
While its largest customers are found in the creative industries, tech and IT, pharma and consumer goods. And its biggest markets are the U.K. and U.S.
“We are currently trailing at +20,000 yearly placements,” says Petersen, adding: “The average yearly spend per client is $300,000.”
Worksome says the Series A funding will go on stoking growth by investing in marketing. It also plans to spend on product dev and on building out its team globally (it also has offices in London and New York).
Over the past 12 months the startup doubled the size of its team to 50 — and wants to do so again within 12 months so it can ramp up its enterprise client base in the U.S., U.K. and euro-zone.
“Yes, there are a lot of freelancer platforms out there but a lot of these don’t appreciate that hiring is only the tip of the iceberg when it comes to reducing the friction in working with freelancers,” argues Petersen. “Of the time that goes into hiring, managing and paying freelancers, 75% is currently spent on admin such as timesheet approvals, invoicing and compliance checks, leaving only a tiny fraction of time to actually finding talent.”
Worksome woos employers with a “one-click-hire” offer — touting its ability to find and hire freelancers “within seconds”.
If hiring a stranger in seconds sounds ill-advised, Worksome greases this external employment transaction by taking care of vetting the freelancers itself (including carrying out background checks; and using proprietary technology to asses freelancers’ skills and suitability for its marketplace).
“We have a two-step vetting process to ensure that we only allow the best freelance talent onto the Worksome platform,” Petersen tells TechCrunch. “For step one, an inhouse-built robot assesses our freelancer applicants. It analyses their skillset, social media profiles, profile completeness and hourly or daily rate, as well as their CV and work history, to decide whether each person is a good fit for Worksome.
“For step two, our team of talent specialists manually review and decline or approve the freelancers that pass through step one with a score of 85% or more. We have just approved our 30,000th freelancer and will be able to both scale and improve our vetting procedure as we grow.”
A majority of freelancer applicants fail Worksome’s proprietary vetting processes. This is clear because it says it has received 80,000 applicants so far — but only approved 30,000.
That raises interesting questions about how it’s making decisions on who is (and isn’t) an ‘appropriate fit’ for its talent marketplace.
It says its candidate assessing “robot” looks at “whether freelancers can demonstrate the skillset, matching work history, industry experience and profile depth” deemed necessary to meet its quality criteria — giving the example that it would not accept a freelancer who says they can lead complex IT infrastructure projects if they do not have evidence of relevant work, education and skills.
On the AI freelancer-to-project matching side, Worksome says its technology aims to match freelancers “who have the highest likelihood of completing a job with high satisfaction, based on their work-history, and performance and skills used on previous jobs”.
“This creates a feedback loop that… ensure that both clients and freelancers are matched with great people and great work,” is its circular suggestion when we ask about this.
But it also emphasizes that its AI is not making hiring decisions on its own — and is only ever supporting humans in making a choice. (An interesting caveat since existing EU data protection rules, under Article 22 of the GDPR, provide for a right for individuals to object to automated decision making if significant decisions are being taken without meaningful human interaction.)
Using automation technologies (like AI) to make assessments that determine whether a person gains access to employment opportunities or doesn’t can certainly risk scaled discrimination. So the devil really is in the detail of how these algorithmic assessments are done.
That’s why such uses of technology are set to face close regulatory scrutiny in the European Union — under incoming rules on ‘high risk’ users of artificial intelligence — including the use of AI to match candidates to jobs.
The EU’s current legislative proposals in this area specifically categorize “employment, workers management and access to self-employment” as a high risk use of AI, meaning applications like Worksome are likely to face some of the highest levels of regulatory supervision in the future.
Nonetheless, Worksome is bullish when we ask about the risks associated with using AI as an intermediary for employment opportunities.
“We utilise fairly advanced matching algorithms to very effectively shortlist candidates for a role based solely on objective criteria, rinsed from human bias,” claims Petersen. “Our algorithms don’t take into account gender, ethnicity, name of educational institutions or other aspects that are usually connected to human bias.”
“AI has immense potential in solving major industry challenges such as recruitment bias, low worker mobility and low access to digital skills among small to medium sized businesses. We are firm believers that technology should be utilized to remove human bias’ from any hiring process,” he goes on, adding: “Our tech was built to this very purpose from the beginning, and the new proposed legislation has the potential to serve as a validator for the hard work we’ve put into this.
“The obvious potential downside would be if new legislation would limit innovation by making it harder for startups to experiment with new technologies. As always, legislation like this will impact the Davids more than the Goliaths, even though the intentions may have been the opposite.”
Zooming back out to consider the pandemic-fuelled remote working boom, Worksome confirms that most of the projects for which it supplied freelancers last year were conducted remotely.
“We are currently seeing a slow shift back towards a combination of remote and onsite work and expect this combination to stick amongst most of our clients,” Petersen goes on. “Whenever we are in uncertain economic times, we see a rise in the number of freelancers that companies are using. However, this trend is dwarfed by a much larger overall trend towards flexible work, which drives the real shift in the market. This shift has been accelerated by COVID-19 but has been underway for many years.
“While remote work has unlocked an enormous potential for accessing talent everywhere, 70% of the executives expect to use more temporary workers and contractors onsite than they did before COVID-19, according to a recent McKinsey study. This shows that businesses really value the flexibility in using an on-demand workforce of highly skilled specialists that can interact directly with their own teams.”
Asked whether it’s expecting growth in freelancing to sustain even after we (hopefully) move beyond the pandemic — including if there’s a return to physical offices — Petersen suggests the underlying trend is for businesses to need increased flexibility, regardless of the exact blend of full-time and freelancer staff. So platforms like Worksome are confidently poised to keep growing.
“When you ask business leaders, 90% believe that shifting their talent model to a blend of full-time and freelancers can give a future competitive advantage (Source: BCG),” he says. “We see two major trends driving this sentiment; access to talent, and building an agile and flexible organization. This has become all the more true during the pandemic — a high degree of flexibility is allowing organisations to better navigate both the initial phase of the pandemic as well the current pick up of business activity.
“With the amount of change that we’re currently seeing in the world, and with businesses are constantly re-inventing themselves, the access to highly skilled and flexible talent is absolutely essential — now, in the next 5 years, and beyond.”
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As remote work continues to solidify its place as a critical aspect of how businesses exist these days, a startup that has built a platform to help companies source and bring on one specific category of remote employees — engineers — is taking on some more funding to meet demand.
Turing — which has built an AI-based platform to help evaluate prospective, but far-flung, engineers, bring them together into remote teams, then manage them for the company — has picked up $32 million in a Series B round of funding led by WestBridge Capital. Its plan is as ambitious as the world it is addressing is wide: an AI platform to help define the future of how companies source IT talent to grow.
“They have a ton of experience in investing in global IT services, companies like Cognizant and GlobalLogic,” said co-founder and CEO Jonathan Siddharth of its lead investor in an interview the other day. “We see Turing as the next iteration of that model. Once software ate the IT services industry, what would Accenture look like?”
It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.
In addition to WestBridge, other investors in this round included Foundation Capital, Altair Capital, Mindset Ventures, Frontier Ventures and Gaingels. There is also a very long list of high-profile angels participating, underscoring the network that the founders themselves have amassed. It includes unnamed executives from Google, Facebook, Amazon, Twitter, Microsoft, Snap and other companies, as well as Adam D’Angelo (Facebook’s first CTO and CEO at Quora), Gokul Rajaram, Cyan Banister and Scott Banister, and Beerud Sheth (the founder of Upwork), among many others (I’ll run the full list below).
Turing is not disclosing its valuation. But as a measure of its momentum, it was only in August that the company raised a seed round of $14 million, led by Foundation. Siddharth said that the growth has been strong enough in the interim that the valuations it was getting and the level of interest compelled the company to skip a Series A altogether and go straight for its Series B.
The company now has signed up to its platform 180,000 developers from across 10,000 cities (compared to 150,000 developers back in August). Some 50,000 of them have gone through automated vetting on the Turing platform, and the task will now be to bring on more companies to tap into that trove of talent.
Or, “We are demand-constrained,” which is how Siddharth describes it. At the same time, it’s been growing revenues and growing its customer base, jumping from revenues of $9.5 million in October to $12 million in November, increasing 17x since first becoming generally available 14 months ago. Current customers include VillageMD, Plume, Lambda School, Ohi Tech, Proxy and Carta Healthcare.
A lot of people talk about remote work today in the context of people no longer able to go into their offices as part of the effort to curtail the spread of COVID-19. But in reality, another form of it has been in existence for decades.
Offshoring and outsourcing by way of help from third parties — such as Accenture and other systems integrators — are two ways that companies have been scaling and operating, paying sums to those third parties to run certain functions or build out specific areas instead of shouldering the operating costs of employing, upsizing and sometimes downsizing that labor force itself.
Turing is essentially tapping into both concepts. On one hand, it has built a new way to source and run teams of people, specifically engineers, on behalf of others. On the other, it’s using the opportunity that has presented itself in the last year to open up the minds of engineering managers and others to consider the idea of bringing on people they might have previously insisted work in their offices, to now work for them remotely, and still be effective.
Siddarth and co-founder Vijay Krishnan (who is the CTO) know the other side of the coin all too well. They are both from India, and both relocated to the Valley first for school (post-graduate degrees at Stanford) and then work at a time when moving to the Valley was effectively the only option for ambitious people like them to get employed by large, global tech companies, or build startups — effectively what could become large, global tech companies.
“Talent is universal, but opportunities are not,” Siddarth said to me earlier this year when describing the state of the situation.
A previous startup co-founded by the pair — content discovery app Rover — highlighted to them a gap in the market. They built the startup around a remote and distributed team of engineers, which helped them keep costs down while still recruiting top talent. Meanwhile, rivals were building teams in the Valley. “All our competitors in Palo Alto and the wider area were burning through tons of cash, and it’s only worse now. Salaries have skyrocketed,” he said.
After Rover was acquired by Revcontent, a recommendation platform that competes against the likes of Taboola and Outbrain, they decided to turn their attention to seeing if they could build a startup based on how they had, basically, built their own previous startup.
There are a number of companies that have been tapping into the different aspects of the remote work opportunity, as it pertains to sourcing talent and how to manage it.
They include the likes of Remote (raised $35 million in November), Deel ($30 million raised in September), Papaya Global ($40 million also in September), Lattice ($45 million in July) and Factorial ($16 million in April), among others.
What’s interesting about Turing is how it’s trying to address and provide services for the different stages you go through when finding new talent. It starts with an AI platform to source and vet candidates. That then moves into matching people with opportunities, and onboarding those engineers. Then, Turing helps manage their work and productivity in a secure fashion, and also provides guidance on the best way to manage that worker in the most compliant way, be it as a contractor or potentially as a full-time remote employee.
The company is not freemium, as such, but gives people two weeks to trial people before committing to a project. So unlike an Accenture, Turing itself tries to build in some elasticity into its own product, not unlike the kind of elasticity that it promises its customers.
It all sounds like a great idea now, but interestingly, it was only after remote work really became the norm around March/April of this year that the idea really started to pick up traction.
“It’s amazing what COVID has done. It’s led to a huge boom for Turing,” said Sumir Chadha, managing director for WestBridge Capital, in an interview. For those who are building out tech teams, he added, there is now “No need for to find engineers and match them with customers. All of that is done in the cloud.”
“Turing has a very interesting business model, which today is especially relevant,” said Igor Ryabenkiy, managing partner at Altair Capital, in a statement. “Access to the best talent worldwide and keeping it well-managed and cost-effective make the offering attractive for many corporations. The energy of the founding team provides fast growth for the company, which will be even more accelerated after the B-round.”
PS. I said I’d list the full, longer list of investors in this round. In these COVID times, this is likely the biggest kind of party you’ll see for a while. In addition to those listed above, it included [deep breath] Founders Fund, Chapter One Ventures (Jeff Morris Jr.), Plug and Play Tech Ventures (Saeed Amidi), UpHonest Capital (Wei Guo, Ellen Ma), Ideas & Capital (Xavier Ponce de León), 500 Startups Vietnam (Binh Tran and Eddie Thai), Canvas Ventures (Gary Little), B Capital (Karen Appleton Page, Kabir Narang), Peak State Ventures (Bryan Ciambella, Seva Zakharov), Stanford StartX Fund, Amino Capital, Spike Ventures, Visary Capital (Faizan Khan), Brainstorm Ventures (Ariel Jaduszliwer), Dmitry Chernyak, Lorenzo Thione, Shariq Rizvi, Siqi Chen, Yi Ding, Sunil Rajaraman, Parakram Khandpur, Kintan Brahmbhatt, Cameron Drummond, Kevin Moore, Sundeep Ahuja, Auren Hoffman, Greg Back, Sean Foote, Kelly Graziadei, Bobby Balachandran, Ajith Samuel, Aakash Dhuna, Adam Canady, Steffen Nauman, Sybille Nauman, Eric Cohen, Vlad V, Marat Kichikov, Piyush Prahladka, Manas Joglekar, Vladimir Khristenko, Tim and Melinda Thompson, Alexandr Katalov, Joseph and Lea Anne Ng, Jed Ng, Eric Bunting, Rafael Carmona, Jorge Carmona, Viacheslav Turpanov, James Borow, Ray Carroll, Suzanne Fletcher, Denis Beloglazov, Tigran Nazaretian, Andrew Kamotskiy, Ilya Poz, Natalia Shkirtil, Ludmila Khrapchenko, Ustavshchikov Sergey, Maxim Matcin and Peggy Ferrell.
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Braintrust, a network for freelance technical and design talent that launched over the summer, is announcing that it has raised $18 million in new funding.
Co-founder and CEO Adam Jackson has written for TechCrunch about how tech companies need to treat independent contractors with more empathy. He told me via email that the San Francisco-based startup is making that idea a reality by offering a very different approach than existing marketplaces for freelance work.
For one thing, Braintrust only charges the companies doing the hiring — freelancers won’t have to pay to join or to bid on a project, and Braintrust won’t charge a fee on their project payments. In addition, the startup is using a cryptocurrency token that it calls Btrust to reward users who build the network, for example by inviting new customers or vetting freelancers. Apparently, the token will give users a stake in how the network evolves in the future.
“Just imagine if Uber had given all of its drivers some ownership in the company what a different company it would be today,” Jackson said. “Braintrust will be 100% user-owned. Everyone who participates on the platform has skin in the game.”
And for companies, Braintrust is supposed to allow them to tap freelancers for work that they’d normally do in-house. The startup’s clients already include Nestlé, Pacific Life, Deloitte, Porsche, Blue Cross Blue Shield and TaskRabbit.
According to Jackson, most of the talent on the platform consists of career freelancers, but with many people losing their jobs during the COVID-19 pandemic, “we’ve seen an influx of talent coming looking to join the ranks of the freelancers.”
He added that the startup already became profitable after raising its $6 million seed round, so the new funding will allow it to build the core team and also bring in more work.
“We exist to help companies accelerate their product roadmaps and innovation, and this injection of funding will help us do just that,” Jackson said.
The new funding was led by ACME and Blockchange, with participation from new investors Pantera, Multicoin and Variant.
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La Jolla, Calif.-based Fulcrum, a job-placement company for technical projects, has raised $1 million in a seed round of funding, led by local technology investment firm Greatscale Ventures with participation from several private co-investors, the company said.
The company has what it calls a fully compliant service for hiring freelancers onto technical projects that had previously only been the purview of full-time staffers — or work that would have been outsourced to pricey consulting firms.
Fulcrum says that its job-placement platform meets the regulatory requirements in 90 countries and is designed to give businesses the ability to design, manage and execute projects on demand.
The company scrapes all marketplaces that freelancers currently use and onboards them through its own service so that they can work effectively with large corporations.
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We’ve aggregated the world’s best growth marketers into one community. Twice a month, we ask them to share their most effective growth tactics, and we compile them into this Growth Report.
This is how you’re going stay up-to-date on growth marketing tactics — with advice you can’t get elsewhere.
Our community consists of 600 startup founders paired with VP’s of growth from later-stage companies. We have 300 YC founders plus senior marketers from companies including Medium, Docker, Invision, Intuit, Pinterest, Discord, Webflow, Lambda School, Perfect Keto, Typeform, Modern Fertility, Segment, Udemy, Puma, Cameo, and Ritual.
You can participate in our community by joining Demand Curve’s marketing webinars, Slack group, or marketing training program. See past growth reports here.
Without further ado, onto the advice.
Based on insights from Guillaume Cabane.
A customer testimonial from a well-known executive may be the social proof that improves conversion rates on your landing pages or in sales collateral. But executives of reputable companies are generally busy and difficult to reach.
Here’s how to get the testimonial:
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The last few decades have produced many successful marketplaces. We went from goods marketplace pioneers such as eBay and Amazon to simple service marketplaces such as Uber, Lyft, Doordash, Upwork, Thumbtack, TaskRabbit, and Fiverr. But why haven’t we seen many successful B2B service marketplaces?
Some would argue that companies such as Upwork, Thumbtack, Fiverr, or TaskRabbit are horizontal B2B marketplaces in the sense that they provide access to suppliers of different services. But while businesses do indeed transact with freelancers on such “horizontal” marketplaces, for most service verticals these are limited-value, one-off transactions. They fail to enable long-term business collaborations.
So, such marketplaces haven’t delivered more valuable services nor introduced a new paradigm for how businesses buy specific services at scale and on an on-going basis. Why is that?
Horizontal services marketplaces don’t provide much value beyond matching clients with quality service providers. In other words, they don’t facilitate collaboration between buyers and suppliers, never mind provide ways for the two parties to collaborate more efficiently over time as they engage in follow-on projects.
In essence, the model these marketplaces were built around is not much different from the likes of Craigslist, which put a convenient UX on traditional classified advertisements.
In their article “What’s Next for Marketplace Startups?,” Andrew Chen and Li Jin found that there aren’t many successful service marketplaces because those offerings are complex, diverse, and difficult to evaluate. It’s challenging to define a successful transaction in a service marketplace because it’s harder to quantify success.
One reason is that several service providers must often work together to complete a single job for a buyer, requiring a complex workflow from end to end. As a result, it’s difficult for marketplaces to not only mediate service delivery but also make it significantly more efficient for buyers and suppliers. If both the buyer and suppliers don’t see a significant efficiency gain other than being initially matched, why would they continue using the marketplace?
(Image via Getty Images / Lidiia Moor)
The $50 billion translation industry is a prime example of complex B2B services marketplaces. On the supply side are roughly 50,000 small agencies around the globe responsible for more than 85% of this $50 billion industry. (Note we are referring to agencies here as suppliers, though they play on both sides.)
On the demand side are businesses that need to translate text from one language into another. Plus about 1,500,000 freelance linguists work in this industry, many of whom are more specialized than professionals in other industries.
Anyone can find and hire a translator on Fiverr or Upwork. Both provide a vast selection of language translators. However, the quality and cost of the translation depends on the translation tools available to the translator as well as their subject expertise.
Neither Fiverr nor Upwork provide computer-aided translation (CAT) and collaborative workflow solutions for users of their platforms. Additionally, neither provides an effective way for all parties to collaborate and continuously improve the efficiency and quality.
But the problem with traditional marketplaces goes even further: Multiple translators and reviewers are usually needed to complete a single job for a customer. Multi-language translation projects are even more complicated. Such projects require multiple service providers and cost estimates, in addition to project management tools.
This is why building a B2B service marketplace is difficult. Service marketplaces must not only connect buyers and suppliers, but also provide tools to enable an efficient and collaborative workflow that reduces wasted time and effort.
In addition to the problems already outlined, traditional marketplaces experience another issue that prevents them from growing and retaining market participants: Buyer and supplier attrition.
Many business services are based on regularly recurring engagements. In some cases, a buyer and a service provider interact daily, requiring a different workflow than gig-marketplaces are built around.
Buyers and suppliers have little motivation to continue interacting on a platform with no workflow automation solutions. They lack a way to improve service efficiency and quality, automate collaboration, payment, paperwork, and other basic processes required for a business.
This is why many traditional marketplaces suffer from slow network effects and high attrition. (A network effect is what happens when a platform, product, or service delivers more value the more it is used.
Think Facebook, eBay, WhatsApp.) Why wouldn’t companies work directly with service providers outside of a marketplace after they were introduced? What incentives keep the service transaction on the marketplace? These are critical questions to answer when building a marketplace.
Traditional marketplaces target broad services, making it nearly impossible to provide workflow solutions for buyers and suppliers. Going forward, successful service marketplaces will be developed relying on an industry-specific SaaS workflow. This will focus buyers and suppliers on longer-term projects and interactions that serve the unique needs of collaborations and transactions in a specific vertical.
Image via Getty Images / OstapenkoOlena
In “The next 10 Years Will Be About Market Networks,” James Currier, Managing Partner at NFX Ventures, defines a new era of service marketplaces, which he calls market networks.
A market network is a platform that combines elements of an n-sided marketplace, a network, and workflow solutions. An n-sided marketplace is one that requires coordination of multiple supply-side parties to provide a complex service for a single buyer.
Market networks enable multiple buyers and suppliers to interact, collaborate, and transact on the same platform. They provide users with industry-specific workflow solutions that enable efficient, ongoing collaboration on long-term projects. This reduces costs and leads to a higher quality of services and increased overall value for all users.
But how do you actually build a successful market-network platform? While the answer to that varies from company to company, here is our approach. We were able to build a market network for the translation industry that combines the components: network, marketplace, and workflow solution.
The first step to building an effective complex market network is to develop a workflow that is easy for users to embrace. It might not seem like much, but this increases productivity by enabling teams to perform tasks that were previously impossible.
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Editors Note: This article is part of a series that explores the world of growth marketing for founders. If you’ve worked with an amazing growth marketing agency, nominate them to be featured in our shortlist of top growth marketing agencies in tech.
Startups often set themselves back a year by hiring the wrong growth marketer.
This post shares a framework my marketing agency uses to source and vet high-potential growth candidates.
With it, early-stage startups can identify and attract a great first growth hire.
It’ll also help you avoid unintentionally hiring candidates who lack broad competency. Some marketers master 1-2 channels, but aren’t experts at much else. When hiring your first growth marketer, you should aim for a generalist.
This post covers two key areas:
One interesting way to find great marketers is to look for great potential founders.
Let me explain. Privately, most great marketers admit that their motive for getting hired was to gain a couple years’ experience they could use to start their own company.
Don’t let that scare you. Leverage it: You can sidestep the competitive landscape for marketing talent by recruiting past founders whose startups have recently failed.
Why do this? Because great founders and great growth marketers are often one and the same. They’re multi-disciplinary executors, they take ownership and they’re passionate about product.
You see, a marketing role with sufficient autonomy mimics the role of a founder: In both, you hustle to acquire users and optimize your product to retain them. You’re working across growth, brand, product and data.
As a result, struggling founders wanting a break from the startup roller coaster often find transitioning to a growth marketing role to be a natural segue.
How do we find these high-potential candidates?
To find past founders, you could theoretically monitor the alumni lists of incubators like Y Combinator and Techstars to see which companies never succeeded. Then you can reach out to their first-time founders.
You can also identify future founders: Browse Product Hunt and Indie Hackers for old projects that showed great marketing skill but didn’t succeed.
There are thousands of promising founders who’ve left a mark on the web. Their failure is not necessarily indicative of incompetence. My agency’s co-founders and directors, including myself, all failed at founding past companies.
To get potential founders interested in the day-to-day of your marketing role, offer them both breadth and autonomy:
Remember, recreate the experience of being a founder.
Further, vet their enthusiasm for your product, market and its product-channel fit:
The latter is a little-understood but critically important requirement: Hire marketers who are interested in the channels your company actually needs.
Let’s illustrate this with a comparison between two hypothetical companies:
Broadly speaking, the enterprise app will most likely succeed through the following customer acquisition channels: sales, offline networking, Facebook desktop ads and Google Search.
In contrast, the e-commerce company will most likely succeed through Instagram ads, Facebook mobile ads, Pinterest ads and Google Shopping ads.
We can narrow it even further: In practice, most companies only get one or two of their potential channels to work profitably and at scale.
Meaning, most companies have to develop deep expertise in just a couple of channels.
There are enterprise marketers who can run cold outreach campaigns on autopilot. But, many have neither the expertise nor the interest to run, say, Pinterest ads. So if you’ve determined Pinterest is a high-leverage ad channel for your business, you’d be mistaken to assume that an enterprise marketer’s cold outreach skills seamlessly translate to Pinterest ads.
Some channels take a year or longer to master. And mastering one channel doesn’t necessarily make you any better at the next. Pinterest, for example, relies on creative design. Cold email outreach relies on copywriting and account-based marketing.
(How do you identify which ad channels are most likely to work for your company? Read my Extra Crunch article for a breakdown.)
To summarize: To attract the right marketers, identify those who are interested in not only your product but also how your product is sold.
The founder-first approach I’ve shared is just one of many ways my agency recruits great marketers. The point is to remind you that great candidates are sometimes a small career pivot away from being your perfect hire. You don’t have to look in the typical places when your budget is tight and you want to hire someone with high, senior potential.
This is especially relevant for early-stage, bootstrapping startups.
If you have the foresight to recognize these high-potential candidates, you can hopefully hire both better and cheaper. Plus, you empower someone to level up their career.
Speaking of which, here are other ways to hire talent whose potential hasn’t been fully realized:
If you don’t yet have a growth candidate to vet, you can stop reading here. Bookmark this and return when you do!
Now that you have a candidate, how do you assess whether they’re legitimately talented?
At Bell Curve, we ask our most promising leads to incrementally complete three projects:
We allow a week to complete these projects. And we pay them market wage.
Here’s what we’re looking for when we assess their work.
First — putting their work aside — we assess the dynamics of working with them. Are they:
If they follow our instructions and do a decent job, they’re competent. If they hit our deadline, they’re probably reliable. If they ask good questions, they’re communicative.
And if we like talking to them, they’re kind.
A level higher, we use these projects to assess their ability to contribute to the company:
If you don’t have the in-house expertise to assess their growth skills, you can pay an experienced marketer to assess their work. It’ll cost you a couple hundred bucks, and give you peace of mind. Look on Upwork for someone, or ask a marketer at a friend’s company.
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