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Published by Alex Morgan · September 11, 2026 · 16 min read

How Clay Grew From $1M to $100M ARR in Two Years

Clay spent six years reaching $1M ARR, then reached $100M in two more. Focus, reverse demos, community, and GTM engineering drove its growth.

When Varun Anand joined Clay in 2021, there wasn't much of a business yet. Around 20 customers were paying between $30 and $200 a month. Sometimes it took seven calls to close one of them.

By December 2025, Clay had crossed $100 million in annual recurring revenue. In September 2026, it reported more than 17,000 customers, including Anthropic, Google, OpenAI, Stripe, and Siemens. That same month, investors valued the company at $7.1 billion in a $115 million funding round, according to Reuters.

Clay's LinkedIn presence gets a lot of credit for that rise. It helped, especially later. But first the team spent months on Zoom, watching customers get confused, fixing the product, and doing the same thing again the next day.

Clay spent about six years reaching its first $1 million in ARR. Going from $1 million to $100 million took roughly two more. Its story starts with a product that could do almost anything and a company that couldn't explain who needed it.

Clay started too broad

Kareem Amin and Nicolae Rusan started Clay as a tool that could give more people some of the power of programming. A spreadsheet was the natural interface. Most people already understood rows, columns, and formulas. Clay connected that familiar interface to data and software from around the web.

People praised the early product in demos, then often failed to return. The market was too broad.

Recruiters could use it. Sales teams could use it. Operations teams could use it. Developers could even use it as a simple backend. That flexibility sounded like an advantage. In practice, it made the product harder to build and harder to sell.

Every customer wanted something different. Each request could pull the team toward a new market. The product kept moving, but it was not building momentum in one direction.

Clay eventually chose a much smaller starting point: data enrichment for cold email agencies.

The team treated agencies as a place to learn before moving into a larger market. Agency owners had the right mix of problems and skills. They worked with many clients, stitched together several data tools, repeated the same manual tasks, and cared about cost. They also knew enough about automation to use an early product that still had rough edges.

With one type of customer in mind, the team could finally make the same pitch twice and hear the same problems twice. That sounds basic. Clay had spent years without it.

The first customers came from conversations

Few of the 20 customers Clay had when Anand joined matched the new focus. Nearly all of them later left as Clay narrowed the product around outbound sales. The team gave up real, if small, revenue to start again with customers who shared the same problem.

Anand began by searching the archives of Modern Sales Pros, a community for sales operators, for words such as "enrichment," "data," and "outbound." He found about 30 people who had said something thoughtful about those problems and contacted them.

Cold email agency owners showed the strongest interest. Anand found the private WhatsApp and Slack groups where they spent time, watched for questions about sales data, and offered help when Clay could solve the problem.

Searching and replying by hand was slow, but it showed Clay how people were already dealing with the problem.

The company also hired Eric Nowoslawski, an agency owner and early Clay expert who already had trust inside those communities. He understood both the product and the daily work of its first users. For a young company entering a close-knit market, that trust mattered more than a polished campaign.

Clay made customers drive the demo

Of all Clay's early tactics, this is the one I'd steal.

Prospects came to Clay's early sales calls with a real dataset or a problem they wanted to solve. They shared their screen, opened Clay, and clicked through the product while Anand used Zoom's annotation tool to point to the next button. The customer drove; Clay gave directions.

One example involved a small private equity firm looking for plumbing businesses in Oklahoma and Missouri. It wanted to find the companies on Google Maps, check when each one was founded, review its ratings, identify the owner, and find the owner's contact details. Clay helped the prospect build that workflow during the call. The resulting Google Maps integration later helped Clay win 50 to 60 vertical software companies, according to Anand.

The goal was a useful result within 30 minutes.

Anand and a small group of early hires sometimes ran eight reverse demos a day for months. The prospect learned by doing, which made it easier to return without help. Clay saw every confusing label, missed click, and broken step. The team could send that feedback to engineering immediately, sometimes shipping a fix on the same day.

In the beginning, Clay sometimes needed seven calls to close a customer paying a few hundred dollars a month. Less than a year later, it often needed one call or none, according to Anand's account in First Round Review.

The call ended with one more manual step. Clay had removed Intercom from the product, so Anand asked every prospect to join its Slack group for support before hanging up. Questions that would have disappeared into private support tickets now happened where other users could see and answer them. New members entered a room that already looked active.

Months of watching customers struggle with the product came before the viral LinkedIn posts.

Clay used a waitlist to protect the feedback

Clay launched on Product Hunt in February 2022 and opened the product to everyone. Feedback poured in, but much of it came from people Clay wasn't trying to serve. Two months later, the waitlist was back.

The waitlist stayed for another 15 months. Each morning, Anand reviewed signups and decided who should get access, who should book a call, and who was not a priority yet. Clay kept the gate in place even after it had reached millions of dollars in recurring revenue.

Keeping a waitlist for 15 months would be a terrible idea for most products. Clay already had demand, and the team was using the gate to decide whose feedback should shape the product. It removed the waitlist once people could get through onboarding without Anand beside them on Zoom.

Self-serve growth came before a sales team

Clay's early customers paid only a few hundred dollars per month. A traditional sales team would have cost too much for contracts that small. The product had to become self-serve.

Self-serve had to bring the right people to the site, get them into the product, help them do something useful, and collect payment. Community referrals and content brought in visitors. The reverse demos and product fixes improved onboarding. Payment came last: Clay passed $1 million in ARR before it added billing to the product. Until then, Anand sent Stripe invoices by hand, even for $200 monthly plans.

Clay was built around spreadsheet rows and columns. A customer might run several data checks across thousands of records. Charging per seat did not match that value. One operator could use Clay to do work for a whole company.

So Clay charged through credits tied to usage. More rows and more enrichment steps used more credits. The model let small users begin cheaply and allowed larger customers to spend more as they ran more work.

Credits made sense for what Clay sold. One operator could run work for a whole company, so charging for every person with access would have pushed against the product's value.

By 2024, the self-serve offer included a 14-day trial with access to paid features and no credit card required. New users saw the product's full range before choosing a plan. Even those who did not pay could understand the product well enough to recommend it. Social posts sent in people who had already seen a useful workflow. Search brought in people looking for enrichment and outbound help. Clay also used its company data to build free tools and pages for programmatic SEO. These channels could deliver enough trial users for the self-serve model; a sales team did not need to touch each account.

Clay's customers had a reason to talk about it

The first agency users began posting their Clay workflows on LinkedIn without being paid to do it.

A useful Clay post could show potential clients that the agency understood modern outbound systems. It made the agency look capable, brought in leads, and gave the owner material for a personal brand.

Clay noticed this and leaned into it. Team members shared new features with creators, helped them develop ideas, and promoted their work. Later programs included Clay experts, agency partners, free courses and certifications through Clay University, local Clay Clubs, and Clayback, an annual recap designed for users to share.

An agency could use Clay to deliver paid work, then post the workflow to win more clients. Those posts introduced Clay to other operators. Some became users, experts, or agency owners themselves.

The agencies also carried Clay into larger companies. An agency used the product for a client, the client's in-house team saw the workflow, and someone on that team became a user. Some users later brought Clay to a new employer or opened an agency of their own. This joined self-serve growth to enterprise adoption before Clay had built a conventional enterprise sales team.

Calling the strategy "user-generated content" misses part of the story. The content spread because it had economic value for the person making it. Clay gave experts a product to sell services around, an audience for their work, and sometimes direct client opportunities. Status mattered too. Being known as a Clay expert could help an operator build a reputation in a new field.

The loop would have been much weaker if users received only likes, badges, or small affiliate fees.

LinkedIn became a system

In Clay's early years, the posting was simple: team members and users shared useful workflows often. Later, the company made its LinkedIn presence more deliberate.

Clay matched each executive to a specific audience and let them write in their own voice. A growth leader wrote for growth teams. A sales leader wrote about sales. A founder spoke to other founders. Some posts discussed Clay directly; many didn't.

Sarah Khasrovi owned the program and kept people posting through weekly meetings and Slack reminders. The editorial test was simple: does the reader learn anything?

Clay says its executive content generated about 6 million organic LinkedIn impressions in one quarter and added 80,000 followers across its executives. Those are company-reported figures. Each executive covered a different subject in their own voice instead of copying a press release.

The company page was no longer the only voice of the company. Employees, customers, agencies, and community members each gave Clay access to a different part of the market.

Brand made a technical product easier to remember

Clay invested in brand before most B2B startups would consider it sensible.

The company bought clay.com and hired a claymation artist before it had much revenue. A head of brand joined as employee 18. Clay's illustrations, events, website, and writing looked nothing like ordinary sales software. Later, local clubs, small dinners, conferences, and billboards in San Francisco and New York gave the internet-led brand a physical presence.

I think brand gets too much credit in some retellings of Clay's growth. A prettier website wouldn't have fixed the early retention problem. What the brand did was make good customer stories easier to notice and remember once Clay had them.

Clay added enterprise sales as self-serve began to work

By 2023, larger companies were finding Clay through the self-serve product. Rippling became an important early example. Its usage grew from a few hundred dollars to several thousand dollars per month in about eight weeks, largely through self-service with some support.

Larger companies wanted the product, but the team still had no repeatable way to sell it to them.

In late 2023, Clay hired Bruno Estrella from Webflow to run growth marketing. Self-serve was becoming repeatable, though Anand said it was "not amazingly" so. Handing that work to Estrella gave Anand time to build the enterprise motion.

Clay first tried providing the implementation work itself and signed two service-heavy deals for about $60,000 and $84,000. Delivering them cost too much and put Clay in competition with the agencies and experts it wanted to support, so the company stopped.

Next came a platform fee plus credits. Procurement teams questioned the vague fee, and the price did not grow naturally with usage.

In fall 2024, Clay borrowed an idea from Snowflake and bundled software, support, and enterprise features into a larger credit package. Customers still paid in the unit they understood from self-serve, while Clay could charge enough to provide more help.

The sales pitch also became narrower. Rather than promise to rebuild a company's entire sales process, Clay started with data enrichment. Most large companies already paid several data vendors, the budget existed, and Clay could run a clear test against their current results. Once Clay proved its value there, the customer could add outbound, inbound, CRM enrichment, account-based marketing, and other workflows.

Clay kept its product-led motion and added sales on top of a product and pricing model that had already survived thousands of smaller customers.

Clay made up a sales role that fit the product

Selling Clay required more product knowledge than a standard account executive often had. The buyer might ask the seller to build a custom data workflow during the conversation. Passing every technical question to another person would slow the deal and weaken trust.

So Clay hired people who could understand the customer's revenue problem, build the workflow, and explain the business value. It called them go-to-market engineers.

The role combined parts of sales, growth, operations, and technical implementation. Former founders, engineers, investors, and operators could fit even if they had never held a sales title.

Clay's own GTM engineers could sell and support a flexible product. The title also gave the wider community a name for work people were already doing with Clay. Companies began hiring for the role. Training programs appeared. Agencies formed around it. Clay helped name a profession that was taking shape around the product and the wider market.

The later growth team turned attention into pipeline

By July 2026, Clay said about 60% of its revenue came from self-serve and 40% from sales-led and assisted deals. Attention was no longer the problem. Clay needed to turn that attention into sales conversations and make sure somebody could handle them.

Estrella's marketing team ran brand, executive content, education, community, events, and partner programs. Davide Grieco's growth team picked up from there, capturing demand, qualifying it, and helping sales convert it.

One result was the "How Clay Uses Clay" livestream series. Each session focused on a business problem and showed an operator building the solution live instead of walking through a list of product features. Clay says the series attracted about 19,000 registrations at a blended cost below $12 per lead. It also showed buyers that Clay could handle work beyond outbound, including account-based marketing and programmatic landing pages.

Clay says that when it had about a dozen sales reps, it disqualified 85% of demo requests because the team couldn't serve them all. It tripled the number of reps, created a human sales-development team supported by Clay, and sent smaller prospects to group demos instead of rejecting them.

Clay reports that enterprise ARR roughly tripled in nine months and more than half of pipeline came from marketing during this period. According to the company's account, the motion used no cold outbound. These figures haven't been independently audited, but they explain how Clay says it joined a large self-serve business to a growing enterprise one.

What is worth copying

Clay's public story can make LinkedIn look like the hero. I don't buy that. LinkedIn amplified customer results that were already there. A startup copying Clay's executive posting schedule without those results or its partner incentives would be copying the least useful part.

The reverse demo is far more useful. Put a new user in the product, watch where they stop, and fix it. Clay did that eight times a day for months. It learned more than a polished presentation would have revealed.

The first niche is worth studying too. Cold email agencies were never going to be Clay's whole market. They were the people who felt the problem most sharply and could use an unfinished product. That was enough to get moving.

I wouldn't copy the 15-month waitlist unless demand is already stronger than the product can handle. I also wouldn't expect users to post because they love a tool. Clay's agencies posted because the content helped them look credible and win clients. Their incentive was built into the loop.

The order matters. Clay got the product working, made it self-serve, helped partners earn money, and then added enterprise sales and a larger media machine.

Where Okara fits

Clay's early growth depended on people talking to customers, watching them use the product, choosing a market, and developing a point of view. Software couldn't have made those calls for the team.

Okara can help with the work that came later: publishing, repurposing, monitoring channels, and keeping a steady rhythm. The judgment about what to build and what is worth saying still belongs to people.

Frequently asked questions

What is Clay?

Clay is a go-to-market platform that helps sales and marketing teams collect business data, enrich leads, research accounts, and run automated campaigns. It combines data providers, workflows, and AI in a spreadsheet-like interface.

How fast did Clay grow?

Clay says it took about six years to reach $1 million in ARR, then about two years to reach $100 million. The company reported 10x revenue growth in 2022, another 10x in 2023, and 6x in 2024.

What was Clay's main growth strategy?

Clay combined a narrow starting market, reverse demos, self-serve onboarding, usage-based pricing, and an agency ecosystem that shared useful workflows. It later added enterprise sales and executive content.

Why did agencies promote Clay?

Clay helped agencies deliver more work for clients. Posting Clay workflows could bring them new business and build their reputation in a new field. Revenue and status gave them reasons to keep sharing.

What is Clay's valuation?

Clay raised $115 million at a $7.1 billion valuation in September 2026. It had previously raised $100 million at a $3.1 billion valuation in August 2025.

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