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. Relatively than counting on a big crew or flashy advertising campaigns, he focuses on product enhancements, buyer expertise, onboarding, pricing, and lowering churn.
Zigpoll presently 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 almost doubling the enterprise since 2022. His story exhibits how constant, sensible enhancements can compound into important development.
Watch the Full Episode
Constructing a SaaS as a One-Particular person Firm
Jason’s background is in product. He studied pc science, labored for an ecommerce company after school, then finally 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 saved pointing him to the identical concept: buyer suggestions usually instructed him what to construct subsequent.
That statement finally grew to become the inspiration for Zigpoll, a survey product centered round contextual buyer suggestions. A few of the methods companies can use the software program embrace:
- Working surveys on web sites
- Gathering post-purchase suggestions
- Sending surveys by way of e-mail or SMS
- Asking exit-intent questions
- Gathering attribution information 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 grew to become the clear middle of the enterprise as a result of that is the place Jason noticed probably the most demand.
Right now, roughly 90% of Zigpoll’s enterprise comes by way of the Shopify App Retailer. That focus mattered as a result of Jason did not come into the enterprise with a deep advertising background. Shopify gave him an current distribution channel the place clients had been already trying to find software program.
Discovering Development By a Narrower Buyer Focus
Jason’s development grew to become extra predictable as soon as he clarified his supreme 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 important as a result of specializing in ecommerce gave Jason clearer alerts about what to construct, which issues mattered most, and which buyer use circumstances deserved extra consideration. Relatively than trying to serve each doable survey person equally, he might construct extra deeply across the group already exhibiting sturdy demand.
His income development provides some context for a 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 fascinating, as a result of his earlier development did not come from a single marketing campaign both.
Rising By Evaluations Earlier than Huge Advertising and marketing Campaigns
Throughout Zigpoll’s earlier development interval, Jason had one major goal contained in the Shopify App Retailer: get buyer opinions. For roughly the primary two or three years of his renewed push, opinions had been his North Star. He noticed them as the inspiration for constructing credibility within the distribution channel already sending him clients.
As a substitute of instantly constructing a complicated advertising engine, Jason targeted on changing into extra credible the place individuals had been already discovering the product. That gave Zigpoll a base it might construct from earlier than he anxious about broader acquisition methods. The strategy matched Jason’s strengths as a product-focused founder:
- He might consider serving clients fairly 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 bettering the economics of the shoppers he already had. That introduced him to one of many least glamorous development levers in SaaS: churn.
Lowering Churn by Giving Prospects Extra Causes to Keep
Jason says one of many largest modifications in the way in which he thinks about development got here from spending extra time finding out income numbers, pricing, and churn. For Zigpoll, a standard churn downside is constructed immediately into the character of surveys. A buyer may run a marketing campaign, gather 1,000 responses, get the knowledge they wanted, then determine they’re completed.
From that buyer’s perspective, canceling makes good sense. Jason’s job is due to this fact not merely to cease somebody from canceling. He wants to assist clients see extra recurring methods they will use Zigpoll after the unique venture 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 fairly than disappearing after a brief marketing campaign. Jason makes use of a number of mechanisms to review why cancellations occur:
- Downgrade surveys ask clients why they’re leaving.
- Reactivation emails attain individuals who beforehand stopped utilizing the service.
- Function requests reveal circumstances the place clients want a floor or integration Zigpoll would not but help.
- Buyer suggestions helps separate pricing objections from product or usability points.
Lowering churn by just one or two proportion factors can materially change the expansion math for a recurring income enterprise. Jason due to this fact 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 troublesome downside as a result of Zigpoll serves clients with very completely different targets. Somebody conducting conversion analysis would not want the identical introduction as somebody launching an e-mail survey. A post-purchase survey buyer enters with one more goal.
Jason has responded by making a extra customized onboarding expertise primarily based on how a buyer identifies their wants. The aim is to get every person towards a related end result with out forcing everybody by way of the identical generic sequence. A few of the onboarding work contains:
- Asking clients questions that place them into completely different buyer teams
- Recommending survey templates primarily based on the issue they wish to remedy
- Pulling web site property by way of Shopify so campaigns can arrive partially designed
- Creating completely different onboarding e-mail sequences for various use circumstances
- Reviewing the account-creation course of usually from completely different buyer views
Jason sees onboarding as a venture that is by no means completed. He periodically creates a brand new account and goes by way of the expertise himself whereas pretending to be a selected kind of buyer.
That offers him a strategy to spot friction that’s simple to overlook when he spends day-after-day working contained in the product. Taking time away helps too. Jason says coming back from a household journey usually permits him to note issues that had been sitting in entrance of him for weeks.
Pricing Across the Worth Prospects Obtain
Pricing has been one other persevering with experiment. Jason believes the long-term aim ought to be connecting worth as carefully as doable to the worth a buyer receives. When the worth grows, worth can develop with it in a means that also feels affordable to the shopper.
For Zigpoll, a part of meaning charging primarily based on response quantity. A small buyer amassing restricted suggestions can keep on the free plan. As the amount will increase, the shopper strikes into paid tiers. Jason additionally makes use of function gating for capabilities that are likely to sign larger industrial worth:
- Integrations require a paid plan.
- Customized domains are handled as a paid function.
- Larger response volumes transfer clients into greater tiers.
- Extra superior capabilities can create extra causes to maneuver up the pricing construction.
Integrations have been notably efficient as a result of clients who need survey information despatched into different programs normally have a transparent enterprise cause. That makes the function a pure level for charging extra. Jason nonetheless plans to alter the pricing construction once more as Zigpoll strikes towards bigger clients.
Utilizing Annual Plans as a Churn Technique
Zigpoll gives 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 strategy to gather more money upfront. Money movement is not presently a serious constraint for the enterprise.
He sees annual billing as one other strategy to cut back churn. The pondering is straightforward: 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 greater 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 could have come throughout as determined.
- He later lowered it to 25%.
- He nonetheless thinks the supply could possibly be improved additional.
The annual plan is one other instance of the broader theme operating by way of Jason’s strategy. Development would not at all times require including one other acquisition channel. Generally it comes from altering the economics of the shoppers already arriving.
Utilizing AI to Hold the Firm at One Worker
Working a SaaS firm at $142,000 MRR with out staff requires Jason to get important leverage from software program. AI has performed a serious function in making that doable.
Product growth was one of many first areas the place his workflow modified considerably. As a substitute 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 completely different onboarding e-mail sequences for twenty-four buyer sorts, for instance, turns into rather more sensible when AI can adapt a base construction to every group.
His use circumstances now prolong throughout a number of elements of the enterprise:
- Coding and product growth
- Design iteration
- Shopify App Retailer artistic work
- LinkedIn and social content material planning
- Publication creation
- Automated buyer flows
- Promoting evaluation
- Connecting inner datasets for deeper evaluation
Curiously, 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 also be one other suggestions channel.
Holding AI Beneath Human Management
Jason is smitten by AI, although he is cautious about giving autonomous programs an excessive amount of management over his firm.
He would not let brokers change the product independently day-after-day. 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 a substitute, Jason retains himself within the driver’s seat. His considerations embrace:
- AI can full a slim task with out contemplating the total product.
- Small technical errors can compound throughout repeated duties.
- An agent could lack sufficient context in regards to the codebase, database, and buyer expertise on the identical time.
- Transferring sooner makes sustaining a psychological mannequin of the complete product much more necessary.
Jason in contrast the expertise to placing on ice skates. AI lets him transfer a lot sooner than he might beforehand. That velocity creates leverage, however it additionally makes it extra necessary to see the place he is nonetheless going.
Combining Buyer Information With AI
Certainly one of Jason’s favourite AI purposes comes from giving fashions entry to company-specific info.
He can mix monetary metrics, product modifications, 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 information from Baremetrics
- Latest product commits
- Contact kind submissions
- Onboarding survey responses
- Downgrade survey responses
He can then ask whether or not particular product modifications seem to correlate with income enhancements or decrease churn.
Jason has taken an analogous strategy with promoting. As a substitute 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 provides Zigpoll an fascinating 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 easy methods 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 checklist:
- Finishing a SOC 2 audit
- Growing options geared toward bigger organizations
- Exploring integrations comparable 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 in all probability come from a number of of them working collectively fairly than one breakthrough concept. That has been the sample all through Zigpoll’s development.
Closing Ideas
Jason’s story challenges the belief {that a} SaaS firm approaching $2 million in annual income wants a big crew or elaborate advertising operation. His development has come from higher opinions, clearer positioning, decrease churn, smoother onboarding, considerate pricing, and constant product enhancements.
Relatively than ready for one breakthrough marketing campaign, Jason retains eradicating friction and bettering 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 a substitute, he continues listening to clients, finding out the numbers, bettering the product, and compounding small good points into important development.
