Zigpoll grew from a simple question Jason Zigelbaum kept seeing in ecommerce work: analytics could tell merchants what happened, but not why customers bought, hesitated, abandoned carts, or churned. Brands could spend heavily on ads and dashboards and still guess at the human reason behind conversion behavior.

Jason had already built and exited Shopify-adjacent software before Zigpoll. Starter Story says he had a computer-science background, nearly a decade of ecommerce agency experience, and had seen merchants struggle to collect useful feedback. One prior Shopify app, Metafields Manager, was absorbed by Shopify, and another app was sold. That gave him both the market context and the savings to build a product he could own completely.

The first version was deliberately small: a general-purpose embeddable polling and feedback widget for any website, not an ecommerce-specific tool, as Jason's own Show HN posts from September and November 2019 describe it. Shopify-specific positioning came later, once Zigpoll found its wedge with contextual questions around purchase and browsing moments, such as a thank-you-page question about what almost stopped someone from buying. Starter Story says the first paid customer arrived within days of launch through the Shopify App Store. That early channel choice mattered because it put the app in front of merchants already looking for ecommerce tools.

Traction was not immediate. In the Indie Hackers interview, Jason says it took about two years to get real traction. The turning point was paying attention to which users expanded and referred others without being pushed. Post-purchase surveys became a stronger wedge than the original broader idea, and similar pull led to exit-intent surveys, conversion-rate-optimization surveys, order-delivery surveys, and more Shopify-specific workflows.

The growth engine became boring in a good way. Jason runs Zigpoll solo with no cofounder, funding, employees, sales team, or office. Shopify App Store discovery accounts for about a third of new signups, word of mouth about a quarter, and AI-tool or LLM referrals about 14 percent. Instead of chasing one launch, he optimized the listing, took reviews seriously, shortened install-to-value, and built the features that high-intent merchants and agency operators kept requesting.

Pricing also became part of the product. Jason says Zigpoll started 2026 at about $1.03M ARR and closed June around $125K MRR, roughly a $1.5M run rate. Average revenue per account increased without a broad price hike because bigger users finally had plans that fit their usage. His own framing is that pricing is a product surface, not a one-time launch decision.

The current Zigpoll site still reflects the segment focus that got it there: post-purchase, exit-intent, onsite, email, and SMS surveys; Shopify-first setup; AI-generated insights; templates; branching logic; and claims of 500+ five-star Shopify reviews and 20,000+ stores or companies served. The broader ambition is to move beyond ecommerce, but the path to $125K MRR came from serving one expanding segment better than generic survey tools did.