Jason

20/20 product vision

🚀 - ~150K MRR

[Jason @jason_zig]

No fugazi here. Road to 200K solo let's go! 🚀

[Jason @jason_zig]

@Youssef_BEZZA Make it one tap: fixed options plus an Other box, and keep it optional. A required free-text field mostly gets you "google" and "idk". Then look at it weekly next to signups by channel. The gaps are the interesting part.

[Jason @jason_zig]

@directtoakash The rows where they disagree are the useful ones. Referrer says direct, person says ChatGPT: that is the share analytics misses. Worth tracking that pair as its own number over time.

[Jason @jason_zig]

@FelixDragoi The same gap shows up on the acquisition side. Platform ROAS counts returning buyers you would have had anyway. Split new from returning customers before reading it, and ask new buyers where they first heard of you. Both checks are cheap.

[Jason @jason_zig]

@thenamanraj appreciate you - thanks!

[Jason @jason_zig]

@x_imsi Worth checking the survey first. A broken upsell shows up in revenue the same day. A survey that stopped firing just looks like a quiet week. Compare response counts before and after the upgrade date.

[Jason @jason_zig]

@h4harisali If you pick the one-question survey, make it "how did you first hear about us?" and randomize the options. It is the one place you get attribution data that does not come from an ad platform.

[Jason @jason_zig]

@imFORZA A two-step version works too: keep "how did you hear about us", and when the answer is Google or search, follow with "what made you search for us?" The second answer is the real source.

[Jason @jason_zig]

@luduvigo And give "ChatGPT / AI assistant" its own option. If it only lives in the free-text "Other" box it gets undercounted, because most people pick the nearest listed answer instead of typing one.

[Jason @jason_zig]

@davidXwaugh They rarely match, and that is the useful part. Dashboards show the channels you work on. Customers name the ones you can't track: a friend, a podcast, a post from months ago. Tally the answers monthly or it stays an anecdote.

[Jason @jason_zig]

@hasnainornymo What would a signup tell you that a conversation with someone willing to pay wouldn’t?

[Jason @jason_zig]

@AbdouAziz666 first $500 is where the learning gets real.

[Jason @jason_zig]

@NimbicaAI polish the part people already use.

[Jason @jason_zig]

@adamtaylorl One useful addition: compare what buyers say with the channel data you already track. I built Zigpoll, and our stated-versus-tracked view puts customer-reported discovery next to Shopify’s tracked source for that order.

[Jason @jason_zig]

@thedanielbudai @nicktheriot_ customer words are the best brief. i built zigpoll to collect post-purchase answers, and the strongest insight is usually the phrase customers use themselves.

[Jason @jason_zig]

A signup question is a good starting point. I built Zigpoll for post-purchase and on-site attribution surveys, and the answers can fill gaps analytics misses. For a quick start, you can also add a simple free-text field to signup and review answers manually: [post-purchase attribution surveys](https://t.co/rhTgokyJQs).

[Jason @jason_zig]

zigpoll can now act on a survey answer by itself.

churn risk high -> slack it. unhappy about shipping -> email whoever owns shipping. wants a reply -> tag them.

about a minute after the response lands. no export, no dashboard to remember.

[Jason @jason_zig]

@retainwithsandy zero-party data is most valuable when it changes the next email, not just the dashboard.

[Jason @jason_zig]

@hla_htun34799 I spent years growing Zigpoll without a neat target number driving every decision. A business you can keep improving and serving is a better goal than picking a screenshot-sized MRR milestone.

[Jason @jason_zig]

@AbdouAziz666 I ran Zigpoll solo, and the first years of marketing were basically one word: reviews. Talking to users matters most when it changes what you build or where you show up.