On this week’s episode of the Area of interest Pursuits podcast, Jason Zigelbaum explains how he has grown Zigpoll right into a one-person SaaS firm approaching $2 million in annual income. Fairly than counting on a big workforce or flashy advertising and marketing campaigns, he focuses on product enhancements, buyer expertise, onboarding, pricing, and lowering churn.
Zigpoll at the moment generates about $142,000 in month-to-month recurring income, or roughly $1.7 million yearly. Jason hopes to achieve $2 million earlier than the tip of the yr, persevering with a sample of practically doubling the enterprise since 2022. His story reveals how constant, sensible enhancements can compound into vital development.
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Constructing a SaaS as a One-Individual Firm
Jason’s background is in product. He studied pc science, labored for an ecommerce company after faculty, then ultimately left to construct his personal merchandise.
A number of tasks got here earlier than Zigpoll, together with an ecommerce app he launched in 2016. These experiences stored pointing him to the identical thought: buyer suggestions typically informed him what to construct subsequent.
That remark ultimately turned the inspiration for Zigpoll, a survey product centered round contextual buyer suggestions. A few of the methods companies can use the software program embody:
- Working surveys on web sites
- Gathering post-purchase suggestions
- Sending surveys by electronic mail or SMS
- Asking exit-intent questions
- Gathering attribution knowledge after a transaction
- Gathering suggestions for product growth
Zigpoll can work throughout various kinds of web sites, together with WordPress and WooCommerce websites, and it would not have for use for ecommerce. Nonetheless, ecommerce turned the clear heart of the enterprise as a result of that is the place Jason noticed probably the most demand.
At present, roughly 90% of Zigpoll’s enterprise comes by the Shopify App Retailer. That focus mattered as a result of Jason did not come into the enterprise with a deep advertising and marketing background. Shopify gave him an present distribution channel the place clients have been already looking for software program.
Discovering Development Via a Narrower Buyer Focus
Jason’s development turned extra predictable as soon as he clarified his splendid buyer profile. That did not come naturally. Like many product founders, he initially noticed potential for the software program throughout a a lot wider market and resisted narrowing his consideration.
The change was vital as a result of specializing in ecommerce gave Jason clearer alerts about what to construct, which issues mattered most, and which buyer use instances deserved extra consideration. Fairly than making an attempt to serve each attainable survey consumer equally, he might construct extra deeply across the group already exhibiting sturdy demand.
His income development offers some context for the way a lot that focus has mattered:
- Jason estimates Zigpoll was round $10,000 to $15,000 in MRR in 2022.
- He has focused roughly 100% year-over-year development since returning his focus to the corporate.
- The aim for the present yr was to maneuver from about $1 million to $2 million in annual income.
- On the time of our dialog, Zigpoll had reached about $142,000 MRR.
- That works out to roughly $1.7 million in annualized recurring income.
Jason’s subsequent goal is $4 million. He admits he would not have one definitive reply for getting there. That uncertainty is a part of what makes his strategy attention-grabbing, as a result of his earlier development did not come from a single marketing campaign both.
Rising Via Evaluations Earlier than Large Advertising Campaigns
Throughout Zigpoll’s earlier development interval, Jason had one main goal contained in the Shopify App Retailer: get buyer critiques. For roughly the primary two or three years of his renewed push, critiques have been his North Star. He noticed them as the inspiration for constructing credibility within the distribution channel already sending him clients.
As an alternative of instantly constructing a complicated advertising and marketing engine, Jason targeted on turning into extra credible the place folks have been already discovering the product. That gave Zigpoll a base it might construct from earlier than he fearful about broader acquisition methods. The strategy matched Jason’s strengths as a product-focused founder:
- He might consider serving clients somewhat than constructing an outbound gross sales group.
- Optimistic experiences might result in stronger App Retailer visibility and social proof.
- The Shopify ecosystem gave him entry to ecommerce companies with out requiring a big promoting price range.
- Buyer conversations fed immediately into product growth.
Over time, his consideration shifted from merely attracting extra clients to enhancing the economics of the shoppers he already had. That introduced him to one of many least glamorous development levers in SaaS: churn.
Decreasing Churn by Giving Clients Extra Causes to Keep
Jason says one of many greatest adjustments in the best way he thinks about development got here from spending extra time learning income numbers, pricing, and churn. For Zigpoll, a typical churn downside is constructed immediately into the character of surveys. A buyer may run a marketing campaign, acquire 1,000 responses, get the data they wanted, then resolve they’re completed.
From that buyer’s perspective, canceling makes good sense. Jason’s job is subsequently not merely to cease somebody from canceling. He wants to assist clients see further recurring methods they’ll use Zigpoll after the unique undertaking is completed.
A enterprise that first indicators as much as analysis a brand new product, for instance, may later use an ongoing post-purchase attribution survey. That second use case might run repeatedly somewhat than disappearing after a brief marketing campaign. Jason makes use of a number of mechanisms to check why cancellations occur:
- Downgrade surveys ask clients why they’re leaving.
- Reactivation emails attain individuals who beforehand stopped utilizing the service.
- Function requests reveal instances the place clients want a floor or integration Zigpoll would not but help.
- Buyer suggestions helps separate pricing objections from product or usability points.
Decreasing churn by just one or two share factors can materially change the expansion math for a recurring income enterprise. Jason subsequently treats churn discount as a income technique, not merely as a buyer retention activity.
Bettering Onboarding for Completely different Buyer Use Instances
Onboarding creates one other tough downside as a result of Zigpoll serves clients with very totally different targets. Somebody conducting conversion analysis would not want the identical introduction as somebody launching an electronic mail survey. A post-purchase survey buyer enters with one more goal.
Jason has responded by making a extra personalised onboarding expertise primarily based on how a buyer identifies their wants. The aim is to get every consumer towards a related consequence with out forcing everybody by the identical generic sequence. A few of the onboarding work consists of:
- Asking clients questions that place them into totally different buyer teams
- Recommending survey templates primarily based on the issue they wish to resolve
- Pulling web site belongings by Shopify so campaigns can arrive partially designed
- Creating totally different onboarding electronic mail sequences for various use instances
- Reviewing the account-creation course of recurrently from totally different buyer views
Jason sees onboarding as a undertaking that is by no means completed. He periodically creates a brand new account and goes by the expertise himself whereas pretending to be a particular kind of buyer.
That provides him a option to spot friction that’s straightforward to overlook when he spends on daily basis working contained in the product. Taking time away helps too. Jason says coming back from a household journey typically permits him to note issues that had been sitting in entrance of him for weeks.
Pricing Across the Worth Clients Obtain
Pricing has been one other persevering with experiment. Jason believes the long-term aim must be connecting value as carefully as attainable to the worth a buyer receives. When the worth grows, value can develop with it in a method that also feels affordable to the shopper.
For Zigpoll, a part of which means charging primarily based on response quantity. A small buyer amassing restricted suggestions can keep on the free plan. As the quantity will increase, the shopper strikes into paid tiers. Jason additionally makes use of characteristic gating for capabilities that are likely to sign better industrial worth:
- Integrations require a paid plan.
- Customized domains are handled as a paid characteristic.
- Larger response volumes transfer clients into larger tiers.
- Extra superior capabilities can create further causes to maneuver up the pricing construction.
Integrations have been notably efficient as a result of clients who need survey knowledge despatched into different methods often have a transparent enterprise motive. That makes the characteristic a pure level for charging extra. Jason nonetheless plans to vary the pricing construction once more as Zigpoll strikes towards bigger clients.
Utilizing Annual Plans as a Churn Technique
Zigpoll presents each month-to-month and annual billing, with a 25% low cost for annual clients. Jason would not primarily view the annual choice as a option to acquire extra cash upfront. Money circulation is not at the moment a significant constraint for the enterprise.
He sees annual billing as one other option to cut back churn. The considering is easy: somebody who commits for a full yr is much less more likely to depart after a brief marketing campaign, and that may make the shopper’s lifetime worth larger even after factoring within the low cost.
Jason has experimented with the scale of that low cost:
- The annual low cost was initially 50%.
- He felt the 50% low cost might have come throughout as determined.
- He later lowered it to 25%.
- He nonetheless thinks the supply might be improved additional.
The annual plan is one other instance of the broader theme operating by Jason’s strategy. Development would not all the time require including one other acquisition channel. Typically it comes from altering the economics of the shoppers already arriving.
Utilizing AI to Preserve the Firm at One Worker
Working a SaaS firm at $142,000 MRR with out staff requires Jason to get vital leverage from software program. AI has performed a significant function in making that attainable.
Product growth was one of many first areas the place his workflow modified considerably. As an alternative of manually writing each line of code, Jason now makes use of coding brokers extensively whereas remaining carefully concerned with the work.
AI additionally lets him try tasks that beforehand would have taken an excessive amount of time to justify. Creating 24 totally different onboarding electronic mail sequences for twenty-four buyer sorts, for instance, turns into way more practical when AI can adapt a base construction to every group.
His use instances now lengthen throughout a number of components of the enterprise:
- Coding and product growth
- Design iteration
- Shopify App Retailer inventive work
- LinkedIn and social content material planning
- E-newsletter creation
- Automated buyer flows
- Promoting evaluation
- Connecting inner datasets for deeper evaluation
Apparently, one space Jason hasn’t handed over is customer support. He nonetheless personally solutions customer support emails and even leaves occasional typos in his responses as a result of he needs the communication to really feel clearly human. Extra importantly, these conversations present direct publicity to the issues clients are experiencing.
For the founding father of a suggestions product, buyer help can be one other suggestions channel.
Maintaining AI Beneath Human Management
Jason is smitten by AI, although he is cautious about giving autonomous methods an excessive amount of management over his firm.
He would not let brokers change the product independently on daily basis. He worries much less about catastrophic failure and extra about gradual drift, the place repeated automated choices take the product in instructions he did not intend.
As an alternative, Jason retains himself within the driver’s seat. His issues embody:
- AI can full a slender project with out contemplating the complete product.
- Small technical errors can compound throughout repeated duties.
- An agent might lack sufficient context concerning the codebase, database, and buyer expertise on the similar time.
- Transferring quicker makes sustaining a psychological mannequin of your complete product much more essential.
Jason in contrast the expertise to placing on ice skates. AI lets him transfer a lot quicker than he might beforehand. That velocity creates leverage, however it additionally makes it extra essential to see the place he is nonetheless going.
Combining Buyer Knowledge With AI
One in every of Jason’s favourite AI functions comes from giving fashions entry to company-specific info.
He can mix monetary metrics, product adjustments, buyer surveys, and help suggestions, then ask AI to search for correlations throughout them. That may floor relationships he may miss when taking a look at every dataset individually.
For instance, Jason can mix:
- Churn and income knowledge from Baremetrics
- Latest product commits
- Contact type submissions
- Onboarding survey responses
- Downgrade survey responses
He can then ask whether or not particular product adjustments seem to correlate with income enhancements or decrease churn.
Jason has taken the same strategy with promoting. As an alternative of relying solely on promoting platforms to report conversions, he can join marketing campaign exercise to conversion info inside his personal database and use that info to information future choices.
That is one space the place being a survey firm offers Zigpoll an attention-grabbing benefit. Jason spends his days encouraging clients to gather higher info, then applies the identical precept to his personal firm.
Planning the Transfer From $2 Million to $4 Million
Jason’s subsequent problem is determining learn how to double the enterprise once more. One space he’s exploring is shifting additional upmarket. That creates a brand new set of product, compliance, gross sales, and pricing necessities, a few of that are already being addressed.
A number of initiatives are on his record:
- Finishing a SOC 2 audit
- Growing options geared toward bigger organizations
- Exploring integrations equivalent to Salesforce
- Revisiting the present pricing ceiling
- Increasing additional into WooCommerce
- Exploring SaaS corporations as one other buyer group
- Supporting cellular experiences throughout iOS and Android
- Persevering with to enhance paid promoting
Any a kind of might turn out to be significant. Jason’s expertise up to now suggests the ultimate reply will most likely come from a number of of them working collectively somewhat than one breakthrough thought. That has been the sample all through Zigpoll’s development.
Ultimate Ideas
Jason’s story challenges the idea {that a} SaaS firm approaching $2 million in annual income wants a big workforce or elaborate advertising and marketing operation. His development has come from higher critiques, clearer positioning, decrease churn, smoother onboarding, considerate pricing, and constant product enhancements.
Fairly than ready for one breakthrough marketing campaign, Jason retains eradicating friction and enhancing the shopper expertise. That strategy has taken Zigpoll to roughly $142,000 in month-to-month recurring income with one individual operating the corporate.
He would not declare to have a single reply for reaching $4 million. As an alternative, he continues listening to clients, learning the numbers, enhancing the product, and compounding small good points into vital development.
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