Media & Entertainment

TryNow raises $12M to bring try-before-you-buy, Prime Wardrobe as a service to online retailers

Comment

Image Credits: Roolee (opens in a new window)

Amazon’s Prime Wardrobe has been a key way for the e-commerce giant to expand its reach selling clothing and other apparel: giving shoppers an easy way to try on several items, return what they don’t want and pay for what they keep has helped it cross the virtual chasm by bringing the online experience a little closer to what it’s like to shop for fashion in physical stores. Now, a startup that’s built “Prime Wardrobe as a service” to help smaller competitors offer its shoppers the same experience is announcing some funding to expand its business.

TryNow — which provides technology to online retailers that use Shopify Plus to let their customers receive and try out apparel, return what they don’t want and pay only for what they keep — has raised $12 million, funding that it will be using to continue expanding its business.

The startup, based out of San Francisco, already works with around 50 up-and-coming online retailers doing between $10 million and $100 million in revenues, with Universal Standard, Roolee, Western Rise and Solid & Striped among its customers. Founder and CEO Benjamin Davis said in an interview that it has seen business grow six-fold in the last year as more shopping has shifted online from brick-and-mortar due to the pandemic. TryNow claims that using its service can help brands grow average order value by 63%, conversion rates by 22% and return on ad spend by 76%.

Fashion has been a primary focus for “try before you buy” services online, but the model is not limited to it.

“Apparel is a core category for us,” said Davis, but he also said he believes that the model can be applied to improve the unit economics of selling online to other categories, like cookware. “Prime Wardrobe has solidified the power of that model for fashion, but we believe it’s much larger. We think that any purchase that is discretionary should be tried before it is bought.”

The funding, a Series A, is coming from a notable list of backers that speaks to the opportunity in this space. Investors in the round include Shine Capital, Craft Ventures, SciFi VC (the venture firm co-founded by Max Levchin, founder and CEO of buy-now-pay-later firm Affirm), Third Kind and Plaid co-founders Zachary Perret and William Hockey.

As-a-service, at your service

TryNow sits as part of a bigger wave of commerce and finance services that have emerged over the years to provide technology to entrepreneurs where the commerce technology they are using is not the core of the business they are building.

The thinking goes: Building payments or related features is complex and not something that a company not focused on payments would build itself (much like most businesses would not build their own accounting software, or the computers that they use). And as the biggest competitors — e.g. Amazon — continue to grow and build their own technology in-house to keep their competitive edge, a demand for more tech-enabled tools only grows and becomes more sophisticated with the competitive threat. These in turn get delivered as a service, since smaller competitors will lack the funds and human capital to build these themselves.

Davis said that TryNow chose to work solely with Shopify (and specifically Shopify Plus, the version of the service with more features, designed for retailers with more than $1 million in revenues) and its platform for letting retailers build and operate e-commerce storefronts, because of how it has become such an integral player in that ecosystem.

He said that there has been demand from retailers using other platforms such as Big Commerce and Adobe’s Magento — as well as the platforms themselves. And it will look to expand to these over time, but for now, “we think Shopify is the most powerful, and growing the fastest, with the biggest opportunity at checkout,” said Davis. “It’s a multibillion opportunity.”

Where is the e-commerce app ecosystem headed in 2021?

TryNow has whittled down its core functionality in the e-commerce space to a very specific role.

It doesn’t handle checkout — that’s Shopify; nor transactions — that’s payment companies, or indeed by-now-pay-later companies (like TryNow, another kind of tech helping people defray the payment part of procurement); nor returns — it integrates with Happy Returns, Loop Returns and Returnly; nor email-based communications and marketing with customers — that’s Klaviyo.

What TryNow provides are analytics to manage the risk around any deal, and technology to integrate and manage the payments and returns experience, so that procuring doesn’t trigger a payment, returning triggers a payment for what is kept, and I suppose not returning triggers a different kind of payment (plus flagging the customer for future try-now-pay-later attempts).

Within the wider space of e-commerce, apparel has had a particularly tricky ride among those trying to bring the experience into the online world.

It’s no surprise when you think about it: shopping for apparel is an inherently physical activity, involving trying things on, browsing around big stores with wide selections and only paying for what you actually take away with you.

That has given rise to a lot of different startups, leaning on new innovations in computer vision and other areas of artificial intelligence, better cameras on phones, new manufacturing techniques and more to try to sew up the gap between what you do online and how you would shop in the brick-and-mortar world.

(And these startups are seeing their own opportunities and demand in the market: just last week, Snap Inc. acquired Fit Analytics, one of the tech companies building better tools to improve how online shoppers can estimate what size they might need to buy of an item: the social media company’s interest is to use the technology to expand how it works with its advertisers and to build out a bigger shopping experience on Snapchat and beyond.)

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

Before try-now-pay-later, the basic idea of selling fashion online has been to assume it’s okay to skip all the physical aspects of buying apparel before paying.

“Give me a credit card, and I’ll charge you for what you are getting, and if you don’t like it, you can get a refund? We would never operate a brick-and-mortar store that way, charging people before going into fitting rooms,” said Davis. “It’s unnatural and restricts growth.” And high-ticket items can be even harder to sell in that environment, he added.

While companies like Le Tote, Stitch Fix and Wantable have built out fashion businesses on the premise of try first and then pay only for what you keep, there are fewer companies out there that have distilled this idea into a standalone, B2B service. (And indeed, the try-before-you-buy service can be a tricky one to manage as a viable business, with Le Tote, now in Chapter 11, and now-defunct Lumoid pointing to some of the challenges.)

“Ben and the TryNow team are taking what they’ve learned from Affirm and Stitch Fix and launching the ultimate checkout option: try now, buy later. This translates into more order volume and more profit. We all want to try before we buy: it’s only a matter of time before TryNow’s checkout solution becomes the standard,” said Brian Murray, managing director at Craft Ventures, in a statement.

Still, there are others that compete more directly. BlackCart out of Canada, which raised funding earlier this year, also provides try-now-pay-later as a service for apparel and other goods, and it integrates with other storefront platforms beyond Shopify. (It seems to take a different approach to offsetting the risk for retailers, essentially making up-front payments for goods itself and then reconciling directly with the retails around returns.) And it seems like a no brainer that Amazon might try to offer Prime Wardrobe as a service to more retailers, as it does with so many of its other features.

BlackCart raises $8.8M Series A for its try-before-you-buy platform for online merchants

Along with the funding, TryNow is also announcing a couple of new executive appointments that speak to where it sees itself competing and sitting longer term. Jessica Baier, formerly of Stitch Fix, is now VP of growth strategy; and Jonathan Kayne, a former head of product partnerships for Affirm, is now TryNow’s VP of platform.

The investors in this round are a pretty interesting set of backers that also point to possible directions for the company.

Shine is a relatively new firm co-founded by Mo Koyfman and Josh Mohrer to focus on early-stage investments, with Koyfman previously backing a lot of interesting e-commerce companies at Spark; Craft is another early-stage firm, co-founded by David Sacks and Bill Lee; SciFi VC is Max and Nellie Levchin’s venture fund (and Max has a long and impressive track record in e-commerce, most recently as the founder and CEO of another startup in the flexible payment space, buy-now-pay-later business Affirm).

Third Kind, meanwhile, has been a prolific backer of e-commerce tech as part of its bigger investment thesis. And while Plaid’s founders are investing here as financial backers, it’s notable that they are both providing financial features as a service to third-party businesses: diversification for Plaid might one day come in the form of providing tools for specific verticals, which would likely take them into the realm of more flexible payment and procurement options.

“At Shine, we are attracted to businesses with simple yet powerful insights that can ultimately lead to massively scalable new platforms,” said Koyfman in a statement. “TryNow’s understanding that a lack of tactility restricts e-commerce growth has opened the opportunity to create and scale the Try Now Buy Later category. It is rare to find such a strong team attacking such a simple but big idea. We are delighted to partner with Benjamin and the entire TryNow team as they scale their elegant platform and help e-commerce brands close the conversion gap with brick and mortar retail.”


Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE” at checkout to get 20% off tickets right here.

More TechCrunch

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals