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CodeSignal secures $50M for its tech hiring platform
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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OnLoop launches with $5.5M to inject some fun into performance reviews
Performance reviews eat up a lot of a manager’s time and are often the most dreaded part of work. OnLoop aims to bring some joy into the process by enabling information-gathering to happen behind the scenes and be easier for hybrid workforces.
The Singapore-based company designed a mobile-first product that consistently gathers employee feedback and goals so that the company has better insights into how both individuals and teams are doing. The feedback is also captured and converted into auto-generated reviews that lay out all of the content collected for managers to then quickly put together a finished product.
The platform was in private beta since January 2021, and after a successful run with 25 companies, OnLoop raised $5.5 million co-led by MassMutual Ventures and Square Peg Capital along with Hustle Fund and a group of angel investors including XA Network, BCG’s Aliza Knox, Uber’s Andrew Macdonald, Ready’s Allen Penn, Google’s Bambos Kaisharis, Ripple’s Brooks Entwistle, Robert Hoyt, Nordstar’s Eddie Lee, Nas Academy’s Alex Dwek and hedge fund managers John Candeto and Keshav Lall.
OnLoop co-founder and CEO Projjal Ghatak spent over three years at Uber and said he saw his fair share of productivity tools, but still struggled to develop his own team as tasks and communication were done differently by each employee.
“This is the one problem that companies consistently complain about — not having the right tool to develop teams,” he added.
As someone who began spending more and more time on his phone, Ghatak wanted his product to be mobile-native and eliminate the need for managers to start from scratch on performance reviews each time. Rather than spend days gathering the information, as the name suggests, OnLoop continuously and automatically captures the data and converts it into a well-written summary.
OnLoop app. Image Credits: OnLoop
Having that continuous loop of information is good for morale, he said. He points to data that shows regular self-reflection and feedback increased productivity by 20%, and a Gallup study where only 14% of employees thought their performance reviews inspired them to improve.
“A lot of company culture is set by the leaders, so as they want to drive this culture in their organizations, we are the tool that drives this,” Ghatak said. “Our job is to help educate the teams on how to do that well. We hear time and time again to make it fun and convenient. Teams don’t realize that if you are helping colleagues understand, showing them a light they didn’t have before, it will drive impact.”
The new funding will be mainly invested into product development and R&D, including expanding product, data and engineering teams. The company will also look at its sales and marketing framework. The company currently has 22 employees.
OnLoop was able to convert some of its early adopters into paying customers and is now focusing on figuring out a scalable way to get the product into the hands of more teams.
Piruze Sabuncu, partner at Square Peg Capital, experienced the pain of performance reviews when she was working in Stripe’s Southeast Asia and Hong Kong region. One of the challenges she faced working with regional teams was that an employee’s direct manager could be located elsewhere, yet work closely with a manager in their respective office.
Square Peg itself uses OnLoop, and Sabuncu said she liked that it is mobile-first and was designed in a way that people didn’t open it up and dread using it.
“Who your manager is, is a big question, but it shouldn’t matter,” she added. “It would still be my duty to be capturing and developing the person even if they were not my direct person. Everyone is talking about remote and hybrid work, and it is not going anywhere — it is here to stay. We believe this is a huge opportunity, a $400 billion market to disrupt, and OnLoop is providing better ways to communicate and give feedback.”
Editor’s note: Due to error, the round amount and lead investors were updated following the announcement.
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Tile secures $40 million to take on Apple AirTag with new products
Tile, the maker of Bluetooth-powered lost item finder beacons and, more recently, a staunch Apple critic, announced today it has raised $40 million in non-dilutive debt financing from Capital IP. The funding will be put toward investment in Tile’s finding technologies, ahead of the company’s plan to unveil a new slate of products and features that the company believes will help it to better compete with Apple’s AirTags and further expand its market.
The company has been a longtime leader in the lost item finder space, offering consumers small devices they can attach to items — like handbags, luggage, bikes, wallets, keys and more — which can then be tracked using the Tile smartphone app for iOS or Android. When items go missing, the Tile app leverages Bluetooth to find the items and can make them play a sound. If the items are further afield, Tile taps into its broader finding network consisting of everyone who has the app installed on their phone and other access points. Through this network, Tile is able to automatically and anonymously communicate the lost item’s location back to its owner through their own Tile app.
Image Credits: Tile
Tile has also formed partnerships focused on integrating its finding network into over 40 different third-party devices, including those across audio, travel, wearables and PC categories. Notable brand partners include HP, Dell, Fitbit, Skullcandy, Away, Xfinity, Plantronics, Sennheiser, Bose, Intel and others. Tile says it’s seen 200% year-over-year growth on activations of these devices with its service embedded.
To date, Tile has sold more than 40 million devices and has over 425,000 paying customers — a metric it’s revealing for the first time. It doesn’t disclose its total number of users, both free and paid combined, however. During the first half of 2021, Tile says revenues increased by over 50%, but didn’t provide hard numbers.
While Tile admits that the COVID-19 pandemic had some impacts on international expansions, as some markets have been slower to rebound, it has still seen strong performance outside the U.S., and considers that a continued focus.
The pandemic, however, hasn’t been Tile’s only speed bump.
When Apple announced its plans to compete with the launch of AirTags, Tile went on record to call it unfair competition. Unlike Tile devices, Apple’s products could tap into the iPhone’s U1 chip to allow for more accurate finding through the use of ultra-wideband technologies available on newer iPhone models. Tile, meanwhile, has plans for its own ultra-wideband-powered device, but hadn’t been provided the same access. In other words, Apple gave its own lost item finder early, exclusive access to a feature that would allow it to differentiate itself from the competition. (Apple has since announced it’s making ultra-wideband APIs available to third-party developers, but this access wasn’t available from day one of AirTag’s arrival.)
Image Credits: Tile internal concept art
Tile has been vocal on the matter of Apple’s anti-competitive behavior, having testified in multiple congressional hearings alongside other Apple critics, like Spotify and Match. As a result of increased regulatory pressure, Apple later opened up its Find My network to third-party devices, in an effort to placate Tile and the other rivals its AirTags would disadvantage.
But Tile doesn’t want to route its customers to Apple’s first-party app — it intends to use its own app in order to compete based on its proprietary features and services. Among other things, this includes Tile’s subscriptions. A base plan is $29.99 per year, offering features like free battery replacement, smart alerts and location history. A $99.99 per year plan also adds insurance of sorts — it pays up to $1,000 per year for items it can’t find. (AirTag doesn’t do that.)
Despite its many differentiators, Tile faces steep competition from the ultra-wideband-capable AirTags, which have the advantage of tapping into Apple’s own finding network of potentially hundreds of millions of iPhone owners.
However, Tile CEO CJ Prober — who joined the company in 2018 — claims AirTag hasn’t impacted the company’s revenue or device sales.
“But that doesn’t take away from the fact that they’re making things harder for us,” he says of Apple. “We’re a growing business. We’re winning the hearts and minds of consumers… and they’re competing unfairly.”
“When you own the platform, you shouldn’t be able to identify a category that you want to enter, disadvantage the incumbents in that category, and then advantage yourself — like they did in our case,” he adds.
Tile is preparing to announce an upcoming product refresh that may allow it to better take on the AirTag. Presumably, this will include the pre-announced ultra-wideband version of Tile, but the company says full details will be shared next week. Tile may also expand its lineup in other ways that will allow it to better compete based on look and feel, size and shape, and functionality.
Tile’s last round of funding was $45 million in growth equity in 2019. Now it’s shifted to debt. In addition to new debt financing, Tile is also refinancing some of its existing debt with this fundraise, it says.
“My philosophy is it’s always good to have a mix of debt and equity. So some amount of debt on the balance sheet is good. And it doesn’t incur dilution to our shareholders,” Prober says. “We felt this was the right mix of capital choice for us.”
The company chose to work with Capital IP, a group it’s had a relationship with over the last three years, and who Tile had considered bringing on as an investor. The group has remained interested in Tile and excited about its trajectory, Prober notes.
“We are excited to partner with the Tile team as they continue to define and lead the finding category through hardware and software-based innovations,” said Capital IP’s Managing Partner Riyad Shahjahan, in a statement. “The impressive revenue growth and fast-climbing subscriber trends underline the value proposition that Tile delivers in a platform-agnostic manner, and were a critical driver in our decision to invest. The Tile team has an ambitious roadmap ahead and we look forward to supporting their entry into new markets and applications to further cement their market leadership,” he added.
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AI startup Sorcero secures $10M for language intelligence platform
Sorcero announced Thursday a $10 million Series A round of funding to continue scaling its medical and technical language intelligence platform.
The latest funding round comes as the company, headquartered in Washington, D.C. and Cambridge, Massachusetts, sees increased demand for its advanced analytics from life sciences and technical companies. Sorcero’s natural language processing platform makes it easier for subject-matter experts to find answers to their questions to aid in better decision making.
CityRock Venture Partners, the growth fund of H/L Ventures, and Harmonix Fund co-led the round and were joined by new investors Rackhouse, Mighty Capital and Leawood VC, as well as existing investors, Castor Ventures and WorldQuant Ventures. The new investment gives Sorcero a total of $15.7 million in funding since it was founded in 2018.
Prior to starting Sorcero, Dipanwita Das, co-founder and CEO, told TechCrunch she was working in public policy, a place where scientific content is useful, but often a source of confusion and burden. She thought there had to be a more effective way to make better decisions across the healthcare value chain. That’s when she met co-founders Walter Bender and Richard Graves and started the company.
“Everything is in service of subject-matter experts being faster, better and less prone to errors,” Das said. “Advances of deep learning with accuracy add a lot of transparency. We are used by science affairs and regulatory teams whose jobs it is to collect scientific data and effectively communicate it to a variety of stakeholders.”
The total addressable market for language intelligence is big — Das estimated it to be $42 billion just for the life sciences sector. Due to the demand, the co-founders have seen the company grow at 324% year over year since 2020, she added.
Raising a Series A enables the company to serve more customers across the life sciences sector. The company will invest in talent in both engineering and on the commercial side. It will also put some funds into Sorcero’s go-to-market strategy to go after other use cases.
In the next 12 to 18 months, a big focus for the company will be scaling into product market fit in the medical affairs and regulatory space and closing new partnerships.
Oliver Libby, partner at CityRock Venture Partners, said Sorcero’s platform “provides the rails for AI solutions for companies” that have traditionally found issues with AI technologies as they try to integrate data sets that are already in existence in order to run analysis effectively on top of that.
Rather than have to build custom technology and connectors, Sorcero is “revolutionizing it, reducing time and increasing accuracy,” and if AI is to have a future, it needs a universal translator that plugs into everything, he said.
“One of the hallmarks in the response to COVID was how quickly the scientific community had to do revolutionary things,” Libby added. “The time to vaccine was almost a miracle of modern science. One of the first things they did was track medical resources and turn them into a hook for pharmaceutical companies. There couldn’t have been a better use case for Sorcero than COVID.”
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Salesforce announces new MuleSoft RPA tool based on Servicetrace acquisition
When Salesforce announce0d it was buying German RPA vendor Servicetrace last month, it seemed that it might match up well with MuleSoft, the company the CRM giant bought in 2018 for $6.5 billion. MuleSoft, among other things, helps customers build APIs to legacy systems, while Servicetrace provides a way to add automation to legacy systems. Sure enough, the company announced today that it’s planning a new MuleSoft-Servicetrace tool called MuleSoft RPA.
The Servicetrace deal closed on September 2nd and the company isn’t wasting any time putting it to work wherever it makes sense across the organization — and the MuleSoft integration is a primary use case. John Kucera, SVP of product management at Salesforce where he leads product automation, says that MuleSoft has API management and integration tooling already, but RPA will add another dimension to those existing capabilities.
“We found that many of our customers also need to automate and integrate with disconnected systems, with PDFs, with spreadsheets, but also these legacy systems that don’t have events or API’s. And so we wanted to make sure that we can meet our customers where they are, and that we could have this end-to-end, solution to automate these capabilities,” Kucera told me.
The company will be packaging ServiceTrace as a part of MuleSoft, while blending it with other parts of the Salesforce family of integration tools, as well as other parts of the platform. The MuleSoft RPA tool will live under the Einstein Automate umbrella, but MuleSoft will also sell it as a standalone service, so customers can take advantage of it, even if they aren’t using other parts of the MuleSoft platform or even the broader Salesforce platform. Einstein is the name of Salesforce’s artificial intelligence capabilities. Although RPA isn’t really AI, it can become integrated into an AI-fueled workflow like this.
The MuleSoft acquisition always seemed to be about giving Salesforce, a fully cloud company at its core, a way to access on-prem, legacy enterprise systems, allowing customers to reach data wherever it lives. Adding RPA to the mix takes that a step further, enabling companies to build connections to these systems inside their more modern Einstein Automate workflow tooling to systems that previously wouldn’t have been accessible to the Einstein Automate system.
This is often the case for many large companies, which typically use a mix of newer and often very old systems. Giving them a way to link the two and bring automation across the company could prove quite useful if it truly works as described.
The company is announcing all of these capabilities at Dreamforce, its annual customer conference taking place next week. As with many announcements at the conference, this one is designed to let customers know what’s coming, rather than something that’s available now (or at least soon). MuleSoft RPA is not expected to be ready for general availability until some time in the first half of next year.
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The Org nabs $20M led by Tiger Global to expand its platform based on public organizational charts
LinkedIn normalized the idea of making people’s resume’s visible to anyone who wanted to look at them, and today a startup that’s hoping to do the same for companies and how they are organized and run is announcing some funding. The Org, which wants to build a global, publicly viewable database of company organizational charts — and then utilize that database as a platform to power a host of other services — has raised $20 million, money that it will be using to hire more people, add on more org charts and launch new features, with a recruitment toolkit being first on the list.
The Series B is led by Tiger Global, with previous backers Sequoia, Founders Fund and Balderton Capital also participating alongside new investors Thursday Ventures, Lars Fjeldsoe-Nielsen (a former Balderton partner), Neeraj Arora (formative early WhatsApp exec), investor Gavin Baker, and more. From what we understand, the investment values The Org at $100 million.
Founders Fund led the company’s last round, a Series A in February 2020, and the whole world of work has really changed a lot in the interim because of COVID-19: companies have become more distributed (a result of offices shutting down); the make-up of businesses has changed because of new demands; and many of us have had our sense of connection to our jobs tested in ways that we never thought it would.
All of that has had a massive impact on The Org, and has played into its theory of why org charts are useful, and most useful as a tool for transparency.
“In many ways the pandemic has forced us to reevaluate the norms of how work happens. One of the misconceptions was the idea that you are only working when you are at the office, 9-5. But the future of work is a hybrid set up but you get a lot of issues that arise out of that, communication being one of them. Now it’s much more important to create alignment, a sense of connection, and really feeling a sense of belonging in your company,” Christian Wylonis, the CEO who co-founded the company with Andreas Jarbøl, said in an interview (the two are pictured below). “We think that a lot of these issues are rooted around transparency and that is what The Org is about. Who is doing what, and why?”
Image Credits: The Org
He said that when the coronavirus suddenly ramped up into a global issue — and it really was sudden; our conversation in February 2020 had nothing whatsoever to do with it, yet it was only weeks later that everything shut down — it wasn’t obvious that The Org would have a place in the so-called “new normal.”
“We were as nervous as anyone else, but the idea of what work would look like and how we enable people around that has gotten a lot higher on the agenda,” he said. “The appetite for new tools has improved dramatically, and we can see that in our traffic.”
The Org has indeed seen some very impressive growth. The company now hosts some 130,000 public org charts, sees 30,000 daily visitors and has more than 120,000 registered users. And more casual usage has boomed, too. Wylonis notes that The Org now has close to 1 million visitors each month versus just 100,000 in February 2020, when it only had 16,000 org charts on its platform.
Monetization is coming slowly for the startup. Building, editing and officially “claiming” a profile on the platform are all still free, but in the meantime The Org is working on its platform play and using the database that it is building to power other services. Job hunting is the first area that it will tackle.
Posting jobs will be free, and it’s integrating with Greenhouse to feed information into its system, but recruiters and HR pros are given an option to manage the sourcing and screening process through The Org, a kind of executive recruitment tool, which will come at a charge. Down the line there are plans for more communications and HR tools, Wylonis said. Some of this will be built by way of integrations and APIs with other services, and some tools — such as communications features — will be built in-house, from the ground up.
When I covered the company’s last round, I’d noted that there were some obvious hurdles for The Org, as well as potentially others like Charthop or Visier building business models on providing more transparency and information around hiring and how companies are run.
Sometimes the companies in question don’t actually want to have more transparency. And any database that is based around self-reporting runs the risk of being only as good as the data that is put into it — meaning it may be incomplete, or simply wrong, or just presented to the contributors’ best advantage, not that of the company itself. (This is one of the issues with LinkedIn, too: Even with people’s resumes being public, it’s still very easy to lie about what you actually do, or have done.)
So far, the theory is that some of this will be resolved by way of who The Org is targeting and how it is growing. Today the company’s “sweet spot” is early-stage startups with about 50-200 employees, and generally org charts are created for these businesses in part by The Org itself, and then largely by way of wiki-style user-edited content (anyone with a company email can get involved).
The plan is both to continue working with those smaller startups as they scale up, but also target bigger and bigger businesses. These, however, can be trickier to snag — not least because they will stretch into the realm of public companies, but also because their charts will be more complicated to map and manage consistently. For that reason, The Org is also adding in more features around how companies can “claim” their profiles, including managing permissions for who can edit profiles.
This might mean more managed public profiles, but the idea is that it will be a start, and once more companies post more information, we will see more transparency overall, not unlike how LinkedIn evolved, Wylonis said.
The LinkedIn analogy is interesting for another reason. It seems a no-brainer that LinkedIn, which is at its heart a massive database of information about the world of professional work, and the people and companies involved in it, would have wanted to build its own version of org charts at some point. And yet it hasn’t.
Some of this might be down to how LinkedIn has fundamentally built and organised its own database and knowledge graph, but Wylonis believes it might also be a conceptual difference.
“We think that this might be the fundamental difference between us and them,” Wylonis said of LinkedIn. “They are a database of resumes. ‘I can say whatever I want.’ But for us, the atomic unit is the organization itself. That is an important distinction because it’s a one to many relationship. It can’t be only me editing my profile. And allows us to build structures.”
He added that this was one of the reasons that Keith Rabois — who was an early exec at LinkedIn — became an early investor in The Org: “LinkedIn has been looking at this forever, but they haven’t been able to build it, and so that is how we caught his attention.”
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Vietnam-based CoderSchool gets $2.6M pre-Series A to scale online course platform
CoderSchool, a Ho Chi Minh City, Vietnam-based online coding school startup, announced today $2.6 million in pre-Series A funding to scale up its online coding school platform.
This round was led by Monk’s Hill Ventures, with participation from returning seed investors Iterative, XA Network and iSeed Ventures. CoderSchool raised a seed round led by TRIVE Ventures in 2018.
CoderSchool will use the funding to accelerate its online teaching platform growth and technology infrastructure expansion for the company’s technical education programs that guarantee employment upon graduation.
The company, founded in 2015 by Charles Lee and Harley Trung, who previously worked as software engineers, pivoted from offline to online in early 2020 to bring high-quality technical training to everyone, everywhere. After switching to a fully online learning program, the company recorded 100% quarter-over-quarter (QoQ) growth in fully online enrollment, it said in a statement.
“Coding is the future. At CoderSchool, we believe everyone in Southeast Asia deserves a chance to be part of that future,” the company co-founder and CEO Lee said.
In Vietnam, the demand for IT talent is dramatically increasing by 47% a year, while supply is only increasing by 8% year-on-year.
“The need for strong engineers and developers in Southeast Asia has never been as pertinent as it is today with the growth of tech companies and digital businesses,” said Michele Daoud, partner of Monk’s Hill Ventures. “We have been impressed by the team’s focus on setting the standard for coding education in the region. We are excited to partner with CoderSchool to provide both opportunity and access to the millions of aspiring students in Vietnam.”
Given the strong engineer demand in Vietnam, the domestic market size is estimated between $100 million – $200 million, and still increasing every year, according to Lee. CoderSchool has been focusing on Vietnam for the last six years, but plans to enter the global market following the next round, Lee said, without providing exact timetable.
CoderSchool, which offers full-stack web development, machine learning and data sciences courses at a lower cost, has trained more than 2,000 alumni up to date, and recorded over 80% job placement rate for full-time graduates, getting jobs at companies such as BOSCHE, Microsoft, Lazada, Shopee, FE Credit, FPT Software, Sendo, Tiki and Momo.
“After having taught over 2,000 students, we’ve been able to refine our [coding education] content. We rewrote our full-stack web development course — from Ruby, Phyton to JavaScript — in two years, and added new machine learning and data science courses to our program,” Lee told TechCrunch.
CorderSchool’s online program enables students to interact with instructors and classmates before, during and after scheduled class sessions with its human-driven learning strategy. CoderSchool currently has 15 instructional staff, and plans to hire 35 additional instructors by Q4 2022.
CoderSchool’s data analytics has improved individual student performance while also allowing CoderSchool to increase its classroom size at scale, reaching a peak of 107 enrollments in a data science class.
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Goldman says $2.2B purchase of BNPL provider GreenSky will help expand Marcus
This morning, Goldman Sachs announced plans to acquire B2B2C lender GreenSky in a deal worth $2.24 billion. The acquisition, which is still subject to regulatory approval and is expected to close in the fourth quarter of 2020 or the first quarter of 2021, is positioned to bolster the firm’s consumer business and offer new products and new ways to attract consumers to its Marcus by Goldman Sachs brand of finance products.
Goldman launched Marcus five years ago as a consumer-focused brand in part to compete with a growing set of fintech startups, neobanks, and online trading platforms that have sprung up over the last decade. While it has attracted 8 million users since launch — putting it ahead of many so-called challenger banks — Marcus still trails Chime and Robinhood among banking and trading apps (at least among number of users).
But with the purchase of GreenSky, it’s hoping to add another way to pull consumers into its Marcus funnel.
GreenSky operates a platform that facilitates loans for big-ticket items like home improvement projects or elective dental or medical procedures. It enables brands like Home Depot, as well as medical and dental practices, to offer installment loans to customers at the point of sale, thereby increasing sales and conversions for its clients. GreenSky then sells off those loans to a number of banks and other lending partners.
The deal could be seen as a way for Goldman to buy its way into the “buy now, pay later” trend, offering Marcus users additional ways to finance their purchases. That market has taken off lately, as evidenced by Square’s acquisition of Afterpay, PayPal’s acquisition of Paidy, and Amazon striking a deal to offer BNPL financing through Affirm.
But according to Stephanie Cohen, the global co-head of Consumer & Wealth Management at Goldman Sachs, the acquisition is as much about bringing GreenSky’s customers into the Marcus ecosystem. She also believes that by bringing GreenSky into Goldman Sachs and lending off its balance sheet, there’s no limit to the scale at which it can grow.
That said, don’t expect Goldman or Marcus to begin offering BNPL lending for everyday shopping anytime soon, as Cohen says GreenSky is attractive in part due to the big-ticket nature of home improvement lending.
To learn more about the firm’s plans, we spoke with Cohen about the deal and asked how GreenSky fits in with Marcus and the rest of Goldman’s business. The full interview, slightly edited for length and clarity, is below.
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5 things you need to win your first customer
A startup is a beautiful thing. It’s the tangible outcome of an idea birthed in a garage or on the back of a napkin. But ask any founder what really proves their startup has taken off, and they will almost instantly say it’s when they win their first customer.
That’s easier said than done, though, because winning that first customer will take a lot more than an Ivy-educated founder and/or a celebrity investor pool.
To begin with, you’ll have to craft a strong ideal customer profile to know your customer’s pain points, while developing a competitive SWOT analysis to scope out alternatives your customers can go to.
Your target customer will pick a solution that will help them achieve their goals. In other words, your goals should align with your customer’s goals.
You’ll also need to create a shortlist of influencers who have your customer’s trust, identify their decision-makers who make the call to buy (or not), and create a mapped list of goals that align your customer’s goals to yours.
Understanding and executing on these things can guarantee you that first customer win, provided you do them well and with sincerity. Your investors will also see the fruits of your labor and be comforted knowing their dollars are at good work.
Let’s see how:
1. Craft the ideal customer profile (ICP)
The ICP is a great framework for figuring out who your target customer is, how big they are, where they operate, and why they exist. As you write up your ICP, you will soon see the pain points you assumed about them start to become more real.
To create an ICP, you will need to have a strong articulation of the problem you are trying to solve and the customers that experience this problem the most. This will be your baseline hypothesis. Then, as you develop your ICP, keep testing your baseline hypothesis to weed out inaccurate assumptions.
Getting crystal clear here will set you up with the proper launchpad. No shortcuts.
Here’s how to get started:
- Develop an ICP (Ideal Customer Profile) framework.
- Identify three target customers that fit your defined ICP.
- Write a problem statement for each identified target customer.
- Prioritize the problem statement that resonates with your product the most.
- Lock on the target customer of the prioritized problem statement.
Practice use case:
You are the co-founder at an upcoming SaaS startup focused on simplifying the shopping experience in car showrooms so buyers enjoy the process. What would your ICP look like?
2. Develop the SWOT
The SWOT framework cannot be overrated. This is a great structure to articulate who your competitors are and how you show up against them. Note that your competitors can be direct or indirect (as an alternative), and it’s important to categorize these buckets correctly.
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In growth marketing, signal determines success
Unlike a weak phone signal solely causing a grainy sound, in growth marketing, it can mean the difference between a successful program or a massive cash bleed. As we move toward an increasingly privacy-centric world, it is even more necessary for companies to nail down signal early on.
So what exactly is “signal” in growth marketing? It can carry many different meanings, but holistically speaking, it’s the event data in our arsenal to help guide decisions. When it comes to paid acquisition, it’s vital to optimize and pass back the correct event data to paid channels. This is so that targeting and bidding algorithms have the most enriched data to utilize.
I’ve seen startups spend thousands of dollars inefficiently as a result of not having optimal signal in their paid acquisition campaigns. I’ve also spent millions at companies such as Postmates refining our signal to the best possible state. I’d like every startup to avoid the painful mistake of not having this set up correctly, instead making the most of every important ad dollar.
The selection
When starting out, it may seem obvious to optimize toward a north-star metric such as a purchase. If spend is very minimal, that could mean that the conversion volume will be low across campaigns. On the flip side, if the optimization event is set at a top-of-funnel event such as a landing page view, the signal strength may be very weak. The reason that the strength may be weak is due to passing back a low-intent event as successful to the paid channels. By marking a landing page view as successful, paid channels such as Facebook will continue to find users that are similar to these lower-propensity users that are converting.
Let’s take an example of a health-and-wellness app with a goal of driving memberships to their coaching program. They’re just starting out with exploring paid acquisition and spending $5,000 per week on Facebook. Below is a look at their events in the funnel, weekly volume and cost per event:
Example of a health-and-wellness app and their weekly conversion volume at $5,000 spend. Image Credits: Jonathan Martinez
In the above example, we can see that there’s significant volume for landing page views. As we go down the simplified flow, there is less volume as users drop off the funnel. Almost everyone’s instinct would be to optimize for either the landing page view, because there’s so much data, or the subscription event, because it’s the strongest. I would argue (after extensive testing across multiple ad accounts) that neither of these events would be the correct pick. With landing page views as an optimization event, the users have an egregiously low propensity since the landing page view to subscription conversion rate is 0.61%.
The correct event to optimize for here would either be sign up or trial start because they have sufficient enough volume and are strong signals of a user converting to the north-star metric (subscription). Looking at the conversion rate between sign up and subscription, it’s a much healthier 10.21%, versus the 0.61% from landing page view.
I’m always a huge proponent of testing all events, as there can definitely be big surprises in what may work best for you. When testing events, make sure that there’s a stat-sig baseline that’s being followed to make decisions. Additionally, I think it’s a great practice to test events regularly early on because conversion rates can change as other channel variables are adjusted.
Flow adjustments
In certain cases, the current events that are set up aren’t optimal for paid acquisition campaigns. I’ve seen this happen frequently with startups that have long windows of time between conversion events. Take a startup such as Thumbtack, which provides a marketplace of providers who can help with home repairs. After someone signs up to their app, the user may place a request but not hire someone until a few weeks later. In this case, making flow adjustments could potentially improve the signal and data that you collect from users.
A solution that Thumbtack could implement to gather a stronger signal would be to add another step between the request being placed and hiring someone. This could potentially be a survey with propensity check questions that could ask how soon the user needs help or how important their project is from a 1–10.
Example of in-app survey responses to “How important is your project?” Image Credits: Jonathan Martinez.
After accumulating the data, if there’s a high correlation between survey answers and someone starting their project, we can start to explore optimizing for that event.
In the above example, we see that users who responded with “9” have a 7.66% likelihood to convert. Therefore, this should be the event we optimize for. Artificially adding steps that qualify users in a longer flow can help steer optimization targeting in the right direction.
Enhancing signal
Let’s imagine that you have the most ideal flow that captures large volumes of event signal without much of a delay to your optimization event. That’s still far from perfect. There are myriad solutions that can be implemented to further enhance the signal.
For Facebook specifically, there are connections such as CAPI that can be integrated to pass back data in a more accurate way. CAPI is a method of passing back web events server-to-server rather than relying on cookies and the Facebook pixel. This helps mitigate browsers that block cookies or users who may delete their web history. This is just one example. I won’t run through all the channels, but each has its own solution to help enhance event signal being passed back to it.
iOS 14 signal
This wouldn’t be a column written in 2021 without mention of iOS 14 and the strategies that can be leveraged for this growing user segment. I’ve written another piece about iOS-14-specific tactics, but I’ll cover it here on a broad level. If the north-star metric (i.e., purchase) event can be triggered within 24 hours of the initial app launch, then that’s golden.
This would bring large volumes of high-intent data that would not be at the mercy of the SKAD 24-hour event timer. For most companies, this may sound like a lofty goal, so the target should be to have an event fire within 24 hours that is a high-likelihood indicator of someone completing your north-star metric. Think of which events happen in the flow that lead to someone eventually purchasing. Maybe someone adding a payment method happens within 24 hours and historically has a 90% conversion rate to someone purchasing. An “add payment info” event would be a great conversion event to use in this case. The landscape of iOS 14 is constantly changing but this should apply for the immediate future.
Incrementality and staying ahead
As a rule of thumb, incrementality checks should constantly be performed in growth marketing. It gives an important read on whether advertising dollars are bringing in users that wouldn’t have converted had they not seen an ad.
When comparing optimization events, this rule still applies. Make sure that costs per action aren’t the only metric that’s being used as a measure of success, but instead, use the incremental lift on each conversion event as the ultimate key performance indicator. In this piece, I detail how to run lean incrementality tests without swarms of data scientists.
So how do you stay ahead and continue moving the needle on your growth marketing campaigns? First and foremost, constantly question the events you’re optimizing for. And second, leave no stone unturned.
If you’re using the same optimization event forever, it will be a disservice to your campaign performance potential. By experimenting with flow changes and running tests on new events, you’ll be way ahead of the curve. When iterating on the flow, think about user behavior and events from the user’s perspective. Which flow events, if added, would correlate to a high propensity conversion segment?
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