How Jason Zigelbaum Is Running a Nearly $2M ARR SaaS as a Solo Founder

In this week's episode of the Niche Pursuits podcast, Jason Zigelbaum explains how he has grown Zigpoll into a one-person SaaS company approaching $2 million in annual revenue. Rather than relying on a large team or flashy marketing campaigns, he focuses on product improvements, customer experience, onboarding, pricing, and reducing churn.

Zigpoll currently generates about $142,000 in monthly recurring revenue, or roughly $1.7 million annually. Jason hopes to reach $2 million before the end of the year, continuing a pattern of nearly doubling the business since 2022. His story shows how consistent, practical improvements can compound into significant growth.

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Building a SaaS as a One-Person Company

Jason's background is in product. He studied computer science, worked for an ecommerce agency after college, then eventually left to build his own products.

Several projects came before Zigpoll, including an ecommerce app he launched in 2016. Those experiences kept pointing him to the same idea: customer feedback often told him what to build next.

That observation eventually became the foundation for Zigpoll, a survey product centered around contextual customer feedback. Some of the ways businesses can use the software include:

• Running surveys on websites
• Collecting post-purchase feedback
• Sending surveys through email or SMS
• Asking exit-intent questions
• Gathering attribution data after a transaction
• Collecting feedback for product development

Zigpoll can work across different types of websites, including WordPress and WooCommerce sites, and it doesn't have to be used for ecommerce. Still, ecommerce became the clear center of the business because that's where Jason saw the most demand.

Today, roughly 90% of Zigpoll's business comes through the Shopify App Store. That focus mattered because Jason didn't come into the business with a deep marketing background. Shopify gave him an existing distribution channel where customers were already searching for software.

Finding Growth Through a Narrower Customer Focus

Jason's growth became more predictable once he clarified his ideal customer profile. That didn't come naturally. Like many product founders, he initially saw potential for the software across a much wider market and resisted narrowing his attention.

The change was significant because focusing on ecommerce gave Jason clearer signals about what to build, which problems mattered most, and which customer use cases deserved more attention. Rather than attempting to serve every possible survey user equally, he could build more deeply around the group already showing strong demand.

His revenue progression gives some context for how much that focus has mattered:

• Jason estimates Zigpoll was around $10,000 to $15,000 in MRR in 2022.
• He has targeted roughly 100% year-over-year growth since returning his focus to the company.
• The goal for the current year was to move from about $1 million to $2 million in annual revenue.
• At the time of our conversation, Zigpoll had reached about $142,000 MRR.
• That works out to approximately $1.7 million in annualized recurring revenue.

Jason's next target is $4 million. He admits he doesn't have one definitive answer for getting there. That uncertainty is part of what makes his approach interesting, because his previous growth didn't come from a single campaign either.

Growing Through Reviews Before Big Marketing Campaigns

During Zigpoll's earlier growth period, Jason had one primary objective inside the Shopify App Store: get customer reviews. For roughly the first two or three years of his renewed push, reviews were his North Star. He saw them as the foundation for building credibility in the distribution channel already sending him customers.

Instead of immediately building a sophisticated marketing engine, Jason focused on becoming more credible where people were already discovering the product. That gave Zigpoll a base it could build from before he worried about broader acquisition strategies. The approach matched Jason's strengths as a product-focused founder:

• He could concentrate on serving customers rather than building an outbound sales organization.
• Positive experiences could lead to stronger App Store visibility and social proof.
• The Shopify ecosystem gave him access to ecommerce businesses without requiring a large advertising budget.
• Customer conversations fed directly into product development.

Over time, his attention shifted from simply attracting more customers to improving the economics of the customers he already had. That brought him to one of the least glamorous growth levers in SaaS: churn.

Reducing Churn by Giving Customers More Reasons to Stay

Jason says one of the biggest changes in the way he thinks about growth came from spending more time studying revenue numbers, pricing, and churn. For Zigpoll, a common churn problem is built directly into the nature of surveys. A customer might run a campaign, collect 1,000 responses, get the information they needed, then decide they are finished.

From that customer's perspective, canceling makes perfect sense. Jason's job is therefore not simply to stop someone from canceling. He needs to help customers see additional recurring ways they can use Zigpoll after the original project is finished.

A business that first signs up to research a new product, for example, might later use an ongoing post-purchase attribution survey. That second use case could run continuously rather than disappearing after a short campaign. Jason uses several mechanisms to study why cancellations happen:

• Downgrade surveys ask customers why they're leaving.
• Reactivation emails reach people who previously stopped using the service.
• Feature requests reveal cases where customers need a surface or integration Zigpoll doesn't yet support.
• Customer feedback helps separate pricing objections from product or usability issues.

Reducing churn by only one or two percentage points can materially change the growth math for a recurring revenue business. Jason therefore treats churn reduction as a revenue strategy, not simply as a customer retention task.

Improving Onboarding for Different Customer Use Cases

Onboarding creates another difficult problem because Zigpoll serves customers with very different goals. Someone conducting conversion research doesn't need the same introduction as someone launching an email survey. A post-purchase survey customer enters with yet another objective.

Jason has responded by creating a more personalized onboarding experience based on how a customer identifies their needs. The goal is to get each user toward a relevant outcome without forcing everyone through the same generic sequence. Some of the onboarding work includes:

• Asking customers questions that place them into different customer groups
• Recommending survey templates based on the problem they want to solve
• Pulling website assets through Shopify so campaigns can arrive partially designed
• Creating different onboarding email sequences for different use cases
• Reviewing the account-creation process regularly from different customer perspectives

Jason sees onboarding as a project that's never finished. He periodically creates a new account and goes through the experience himself while pretending to be a specific type of customer.

That gives him a way to spot friction that is easy to miss when he spends every day working inside the product. Taking time away helps too. Jason says returning from a family trip often allows him to notice problems that had been sitting in front of him for weeks.

Pricing Around the Value Customers Receive

Pricing has been another continuing experiment. Jason believes the long-term goal should be connecting price as closely as possible to the value a customer receives. When the value grows, price can grow with it in a way that still feels reasonable to the customer.

For Zigpoll, part of that means charging based on response volume. A small customer collecting limited feedback can stay on the free plan. As the volume increases, the customer moves into paid tiers. Jason also uses feature gating for capabilities that tend to signal greater commercial value:

• Integrations require a paid plan.
• Custom domains are treated as a paid feature.
• Higher response volumes move customers into higher tiers.
• More advanced capabilities can create additional reasons to move up the pricing structure.

Integrations have been particularly effective because customers who want survey data sent into other systems usually have a clear business reason. That makes the feature a natural point for charging more. Jason still plans to change the pricing structure again as Zigpoll moves toward larger customers.

Using Annual Plans as a Churn Strategy

Zigpoll offers both monthly and annual billing, with a 25% discount for annual customers. Jason doesn't primarily view the annual option as a way to collect more cash upfront. Cash flow isn't currently a major constraint for the business.

He sees annual billing as another way to reduce churn. The thinking is simple: someone who commits for a full year is less likely to leave after a short campaign, and that can make the customer's lifetime value higher even after factoring in the discount.

Jason has experimented with the size of that discount:

• The annual discount was initially 50%.
• He felt the 50% discount may have come across as desperate.
• He later reduced it to 25%.
• He still thinks the offer could be improved further.

The annual plan is another example of the broader theme running through Jason's approach. Growth doesn't always require adding another acquisition channel. Sometimes it comes from changing the economics of the customers already arriving.

Using AI to Keep the Company at One Employee

Running a SaaS company at $142,000 MRR without employees requires Jason to get significant leverage from software. AI has played a major role in making that possible.

Product development was one of the first areas where his workflow changed significantly. Instead of manually writing every line of code, Jason now uses coding agents extensively while remaining closely involved with the work.

AI also lets him attempt projects that previously would have taken too much time to justify. Creating 24 different onboarding email sequences for 24 customer types, for example, becomes much more realistic when AI can adapt a base structure to each group.

His use cases now extend across several parts of the business:

• Coding and product development
• Design iteration
• Shopify App Store creative work
• LinkedIn and social content planning
• Newsletter creation
• Automated customer flows
• Advertising analysis
• Connecting internal datasets for deeper analysis

Interestingly, one area Jason hasn't handed over is customer service. He still personally answers customer service emails and even leaves occasional typos in his responses because he wants the communication to feel clearly human. More importantly, those conversations provide direct exposure to the problems customers are experiencing.

For the founder of a feedback product, customer support is also another feedback channel.

Keeping AI Under Human Control

Jason is enthusiastic about AI, though he's cautious about giving autonomous systems too much control over his company.

He doesn't let agents change the product independently every day. He worries less about catastrophic failure and more about gradual drift, where repeated automated decisions take the product in directions he didn't intend.

Instead, Jason keeps himself in the driver's seat. His concerns include:

• AI can complete a narrow assignment without considering the full product.
• Small technical mistakes can compound across repeated tasks.
• An agent may lack enough context about the codebase, database, and customer experience at the same time.
• Moving faster makes maintaining a mental model of the entire product even more important.

Jason compared the experience to putting on ice skates. AI lets him move much faster than he could previously. That speed creates leverage, but it also makes it more important to see where he's still going.

Combining Customer Data With AI

One of Jason's favorite AI applications comes from giving models access to company-specific information.

He can combine financial metrics, product changes, customer surveys, and support feedback, then ask AI to look for correlations across them. That can surface relationships he might miss when looking at each dataset separately.

For example, Jason can combine:

• Churn and revenue data from Baremetrics
• Recent product commits
• Contact form submissions
• Onboarding survey responses
• Downgrade survey responses

He can then ask whether specific product changes appear to correlate with revenue improvements or lower churn.

Jason has taken a similar approach with advertising. Instead of relying solely on advertising platforms to report conversions, he can connect campaign activity to conversion information inside his own database and use that information to guide future decisions.

This is one area where being a survey company gives Zigpoll an interesting advantage. Jason spends his days encouraging customers to collect better information, then applies the same principle to his own company.

Planning the Move From $2 Million to $4 Million

Jason's next challenge is figuring out how to double the business again. One area he is exploring is moving further upmarket. That creates a new set of product, compliance, sales, and pricing requirements, some of which are already being addressed.

Several initiatives are on his list:

• Completing a SOC 2 audit
• Developing features aimed at larger organizations
• Exploring integrations such as Salesforce
• Revisiting the current pricing ceiling
• Expanding further into WooCommerce
• Exploring SaaS companies as another customer group
• Supporting mobile experiences across iOS and Android
• Continuing to improve paid advertising

Any one of those could become meaningful. Jason's experience so far suggests the final answer will probably come from several of them working together rather than one breakthrough idea. That has been the pattern throughout Zigpoll's growth.

Final Thoughts

Jason’s story challenges the assumption that a SaaS company approaching $2 million in annual revenue needs a large team or elaborate marketing operation. His growth has come from better reviews, clearer positioning, lower churn, smoother onboarding, thoughtful pricing, and consistent product improvements.

Rather than waiting for one breakthrough campaign, Jason keeps removing friction and improving the customer experience. That approach has taken Zigpoll to roughly $142,000 in monthly recurring revenue with one person running the company.

He doesn't claim to have a single answer for reaching $4 million. Instead, he continues listening to customers, studying the numbers, improving the product, and compounding small gains into significant growth.

Links & Resources

• Learn more about Zigpoll
• Install Zigpoll
• Connect With Jason on LinkedIn

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