u/No-Comparison-5247

it's live on the shopify app store. shipped this week after 6 months solo. heres the ride.

it started with a friends store. she ran ads, got traffic, GA4 said good engagement, 3+ minute sessions. she was barely converting and crying about money. every tool said her store was fine. it wasnt.

i sat with her and watched real session recordings instead of dashboards. her engaged visitors were stuck. clicking images that were not links. a button doing nothing for 2 seconds. add to cart hit four times then abandoned. the tools counted all of it as healthy engagement.

that store is the entire reason this exists. it catches what dashboards hide. dead clicks, rage clicks, clicks that go nowhere within 900ms, the exact moment someone gives up.

it's live as DynoWeb on the shopify app store

if you are running a store and the numbers look fine but sales do not, install it and check your dead click count.

About us

We're a Shopify app that helps store owners understand why visitors aren't converting. The product tracks real behavior- clicks, rage clicks, scroll depth, session replays and uses AI to suggest UX fixes merchants can apply without touching code. We're a small, early-stage team, and the product is live and growing.

The role

We're hiring our first marketer. Until now, growth has been handled by the founder alongside building the product. we need someone to take it over properly and run it end to end. This is a broad role: you'll handle how merchants find us, how they get onto a call, how they convert, and how they get set up successfully. If you like owning a whole function instead of a single channel, this is that.

What you'll do

• Find the channels that bring in Shopify merchants — App Store optimization, content, communities, partnerships, social and grow the ones that work.
• Run outreach to store owners and agencies, and get qualified prospects booked for demos.
• Handle demo calls and move merchants from free trial to a paid plan.
• Help new merchants get set up , tracker installed, first heatmap, first AI suggestion so they see results early instead of churning.
• Keep an eye on retention: spot why merchants leave, and find upgrade moments between plans.
• Track the funnel honestly installs, demos, trial to paid, churn and report what's working and what isn't.

What we're looking for

• 2–3 years in SaaS or ecommerce marketing. Bonus if it's involved sales or onboarding too.
• Someone comfortable across the whole funnel you can write a cold email and also run a demo call.
• Self-directed. We can't hand you a playbook because there isn't one yet; you'll build it.
• Good written English and clear communication on calls.
• Comfortable with numbers you make decisions from funnel data, not guesses.

Nice to have

• Experience marketing a Shopify app or selling to DTC/ecommerce brands.
• You've onboarded customers before and understand activation and retention.
• You've grown a product from very early stage, or built something of your own.

How to apply

DM me with your CV

About us

We're a Shopify app that helps store owners understand why visitors aren't converting. The product tracks real behavior- clicks, rage clicks, scroll depth, session replays and uses AI to suggest UX fixes merchants can apply without touching code. We're a small, early-stage team, and the product is live and growing.

The role

We're hiring our first marketer. Until now, growth has been handled by the founder alongside building the product. we need someone to take it over properly and run it end to end. This is a broad role: you'll handle how merchants find us, how they get onto a call, how they convert, and how they get set up successfully. If you like owning a whole function instead of a single channel, this is that.

What you'll do

• Find the channels that bring in Shopify merchants — App Store optimization, content, communities, partnerships, social and grow the ones that work.
• Run outreach to store owners and agencies, and get qualified prospects booked for demos.
• Handle demo calls and move merchants from free trial to a paid plan.
• Help new merchants get set up , tracker installed, first heatmap, first AI suggestion so they see results early instead of churning.
• Keep an eye on retention: spot why merchants leave, and find upgrade moments between plans.
• Track the funnel honestly installs, demos, trial to paid, churn and report what's working and what isn't.

What we're looking for

• 2–3 years in SaaS or ecommerce marketing. Bonus if it's involved sales or onboarding too.
• Someone comfortable across the whole funnel you can write a cold email and also run a demo call.
• Self-directed. We can't hand you a playbook because there isn't one yet; you'll build it.
• Good written English and clear communication on calls.
• Comfortable with numbers you make decisions from funnel data, not guesses.

Nice to have

• Experience marketing a Shopify app or selling to DTC/ecommerce brands.
• You've onboarded customers before and understand activation and retention.
• You've grown a product from very early stage, or built something of your own.

How to apply

DM me with your CV

About us

We're a Shopify app that helps store owners understand why visitors aren't converting. The product tracks real behavior- clicks, rage clicks, scroll depth, session replays and uses AI to suggest UX fixes merchants can apply without touching code. We're a small, early-stage team, and the product is live and growing.

The role

We're hiring our first marketer. Until now, growth has been handled by the founder alongside building the product. we need someone to take it over properly and run it end to end. This is a broad role: you'll handle how merchants find us, how they get onto a call, how they convert, and how they get set up successfully. If you like owning a whole function instead of a single channel, this is that.

What you'll do

• Find the channels that bring in Shopify merchants — App Store optimization, content, communities, partnerships, social and grow the ones that work.
• Run outreach to store owners and agencies, and get qualified prospects booked for demos.
• Handle demo calls and move merchants from free trial to a paid plan.
• Help new merchants get set up , tracker installed, first heatmap, first AI suggestion so they see results early instead of churning.
• Keep an eye on retention: spot why merchants leave, and find upgrade moments between plans.
• Track the funnel honestly installs, demos, trial to paid, churn and report what's working and what isn't.

What we're looking for

• 2–3 years in SaaS or ecommerce marketing. Bonus if it's involved sales or onboarding too.
• Someone comfortable across the whole funnel you can write a cold email and also run a demo call.
• Self-directed. We can't hand you a playbook because there isn't one yet; you'll build it.
• Good written English and clear communication on calls.
• Comfortable with numbers you make decisions from funnel data, not guesses.

Nice to have

• Experience marketing a Shopify app or selling to DTC/ecommerce brands.
• You've onboarded customers before and understand activation and retention.
• You've grown a product from very early stage, or built something of your own.

How to apply

DM me with your CV

About us

We're a Shopify app that helps store owners understand why visitors aren't converting. The product tracks real behavior- clicks, rage clicks, scroll depth, session replays and uses AI to suggest UX fixes merchants can apply without touching code. We're a small, early-stage team, and the product is live and growing.

The role

We're hiring our first marketer. Until now, growth has been handled by the founder alongside building the product. we need someone to take it over properly and run it end to end. This is a broad role: you'll handle how merchants find us, how they get onto a call, how they convert, and how they get set up successfully. If you like owning a whole function instead of a single channel, this is that.

What you'll do

• Find the channels that bring in Shopify merchants — App Store optimization, content, communities, partnerships, social and grow the ones that work.
• Run outreach to store owners and agencies, and get qualified prospects booked for demos.
• Handle demo calls and move merchants from free trial to a paid plan.
• Help new merchants get set up , tracker installed, first heatmap, first AI suggestion so they see results early instead of churning.
• Keep an eye on retention: spot why merchants leave, and find upgrade moments between plans.
• Track the funnel honestly installs, demos, trial to paid, churn and report what's working and what isn't.

What we're looking for

• 2–3 years in SaaS or ecommerce marketing. Bonus if it's involved sales or onboarding too.
• Someone comfortable across the whole funnel you can write a cold email and also run a demo call.
• Self-directed. We can't hand you a playbook because there isn't one yet; you'll build it.
• Good written English and clear communication on calls.
• Comfortable with numbers you make decisions from funnel data, not guesses.

Nice to have

• Experience marketing a Shopify app or selling to DTC/ecommerce brands.
• You've onboarded customers before and understand activation and retention.
• You've grown a product from very early stage, or built something of your own.

How to apply

DM me with your CV

was building a thing for my analytics tool that maps which pages visitors hit before checkout. set it up for 5 stores last week. mostly to debug the sequence logic.

then i looked at the conversion numbers split by which pages they touched.

people who landed on FAQ at any point in the session converted at a much higher rate than people who did not. like 6 to 8 times higher on most stores. shipping policy was nuts on a couple of them, even higher.

add to cart was way weaker as a signal honestly. half the people adding to cart are just price-checking or saving things to look at later. the people clicking into FAQ are doing something else. they Are actually trying to talk themselves into the purchase.

most shopify dashboards bucket FAQ traffic as other or just do not surface it. it sits in the footer and nobody pays attention.

started messing with popup logic based on this. visitors who already hit FAQ get nothing aggressive, i am trying not to bug people who are already convincing themselves. visitors who did not get a small reassurance card.

too early to call but it feels right.

was pulling time of day data on 4 stores i have been testing on. did not expect anything specific. just curious if there were patterns.

found one i can not fully explain.

between 11pm and 2am, visitors converted at roughly half the rate of visitors at 10am-4pm. on my cleanest sample, 1.4 percent vs 2.9 percent.

but the midnight conversions, when they happened, had AOV around 50-60 percent higher. like $84 vs $52 on the apparel store.

so its a tradeoff. fewer purchases at midnight but each is bigger. tried a few explanations. mobile vs desktop partially. impulse buying maybe. nothing fully fits.

most stores i looked at fire identical popups and identical shipping copy at every time of day. nobody is treating these as separate audiences. but the data suggests they pretty clearly are.

genuinely do not know what to do with this yet. discount at midnight feels wrong. so does pushing urgency. maybe the answer is just no popup at all after 10pm. testing this week.

was building cross session attribution for my tool last week. basic idea was to stitch a visitor across multiple visits using a fingerprint instead of relying on cookies which break or get cleared all the time.

ran it on a friends store. 60 day window. roughly 800 buyers.

only about 14 percent bought on their first ever visit. everyone else took multiple visits. most converted on visit 3 or 4. saw a few who came back 6 or 7 times before buying anything.

then i pulled where each visit came from.

the visit right before they bought was almost always direct. typed the url or had it bookmarked.

the visit that originally got them to the store, weeks earlier, was usually a paid ad or instagram or some creator post.

shopify and most dashboards credit the last visit. so direct traffic looks like the hero. merchant looks at that and pulls budget from instagram ads thinking those arenot working. except those ads are literally what introduced the buyer to the store.

still trying to figure out the cleanest way to surface this without making it look like another conversion path report nobody reads.

was at a cafe with a friend yesterday. she runs a small apparel store on shopify. doing okay, not great, around 8 -10 sales a day on a good day.

asked her to open her own product page on her phone. pretend she is a first time visitor. just react out loud.

she opened it. then nothing. just looking at the screen.

after maybe 7 seconds she said wait am i supposed to pick a size first or can i just hit add to cart

her own store. she designed it. picked the theme.

that pause is the whole thing. shopify themes show the size selector as empty by default. choose your size. visitor lands on the page, does not know the next step. has to figure out the order. pick variant first or add to cart first or read description first.

if you already know your size you breeze through. if you dont, you stall right there and a lot of people just leave.

she changed her default to medium that night since its her best seller. i will ask her in a week.

helping a friend debug her store yesterday. she was stuck on her bounce rate sitting at 41 percent. she has been told industry average is 40-50 so she thought she was fine.

asked her to split the data by country. she said shopify does not show that easily so we exported a csv and opened it in sheets. took like 20 minutes.

domestic india traffic was bouncing at around 18 percent. converting fine. like 3 percent.

international traffic, mostly US and UK was bouncing at almost 80. barely any conversions. close to zero.

reason was dumb. her store was showing inr prices to everyone. no currency switcher. no shipping info for outside india visible anywhere on the homepage. people were landing, seeing rupee prices, leaving in like 6 or 8 seconds.

23 percent of her traffic.

she had been redoing product descriptions for 2 months trying to fix conversions. the fix was a checkbox in shopify settings.

41 was just the average of two stores pretending to be one. averages hide everything. nobody splits their data and i donot know why

was recording a loom for a beta tester. paused halfway because i realized id already clicked through 9 screens just to reach the dashboard. there were 2 more after that before any data shows up.

11 screens.

for a product literally built around the idea that shopify stores have too much friction.

didnot finish the loom. went and made coffee.

i can defend every screen if you ask me individually. connect store. pick what to track. choose plan. confirm email. toggle some stuff. each one had a reason when i shipped it. but together they are exactly the thing i keep telling merchants to fix on their checkout.

ended up merging 5 screens into 1 today. probably broke some edge case for power users. donot care right now.

the funny part is beta testers told me onboarding was long like a month ago. i thought they meant the videos. they did not mean the videos.

opened a recording this morning expecting to learn something. visitor on product page. scrolls a bit, reads. then cursor just stops. dead for almost 6 minutes.

thought my recorder was broken honestly. went and checked tab focus events. tab was hidden for 5 mins 40 seconds of the session. they were doing something else entirely.

checked a few more sessions. same thing on most of them. people open the page, switch to instagram or whatsapp or whatever, come back later, decide.

so the actual decision is not happening on the store. its happening somewhere else and the store is just a tab they keep open.

added a real engaged time metric to my own dashboard last week that strips out hidden-tab time. the numbers across the stores i am testing on dropped by like 40% on average. brutal but probably the truth.

now i am sitting here wondering what im actually testing when i A/B test a button on the product page.

solo running prelaunch testing on a friend shopify store. been comparing how returning visitors browse versus first-timers and the data flipped what i expected.

assumed returning visitors would be the warm leads they came back for a reason right? closer to buying.

reality on this store: returning visitors spend longer per session, touch more products but convert at almost half the rate of first timers. they are researching. comparing. going back to check things they saw last time. they don't decide. they keep evaluating.

first-timers either buy fast or bounce fast. clean signal.

returning visitors are stuck in indecision loops. and the merchant been treating them as her best customers running retargeting ads at them, pulling them back for more visits, hoping the next visit is the one.

it might not be. some of these returning visitors might never decide. each return visit is just another loop in the loop.

solo merchants here do your returning visitors actually convert better than new ones, or has anyone seen this pattern too?

Had 3 orders today that did not feel like normal purchases.

Numbers looked fine. Nothing unusual at a glance. But the way people moved before buying felt different.

They weren’t going straight through. A few kept going back to the same sections, checking things again, pausing between steps like they weren’t fully settled. One session went product to checkout to product to checkout again before finally placing the order.

They still converted, but it did not feel like a clean decision.

More like they ran out of reasons not to buy.

There is a difference between someone who knows they want it and someone who slowly gets there. Both show up the same in conversion rate, but the intent behind them doesn’t feel equal.

Watching a few sessions side by side made that difference more obvious than any dashboard number.

Makes me question how many good orders are actually just unresolved doubt.

Do you see a difference between confident buyers and hesitant ones in your store?

been testing the session replay piece of Dynoweb shopify tool i am building on a friend store. one session today stuck with me.

ceramic mug product page. four photos in the gallery front shot, side, top down, packaging.

visitor zooms into the front photo. lingers. zooms back out. zooms into the same front photo again. swipes past the other three photos without zooming. comes back to the front photo a third time. then a fourth.

did not read the description, did not scroll to reviews, did not add to cart, just left.

something about that one photo wasn't doing its job. maybe the texture was unclear, maybe the color was off, maybe a detail he was trying to verify wasn't visible. honestly i am guessing.

what bothers me is the merchant has no way to know any of this. her shopify dashboard shows one bounce on a product page. nothing flags that a specific image failed to answer something a clearly interested visitor needed before buying.

has anyone watched a pattern like this and figured out what was actually missing in the photo?

solo indian founder building DynoWeb, launching in a few weeks. shopify analytics tool behavior tracking, popup engine, plus an AI assistant called DynoAgent that suggests product copy and SEO. selling mostly to India , US and UK merchants doing under $5M.

positioning for the landing page is killing me. every other AI ecommerce tool right now is leading with smarter insights or AI-powered analytics. that copy doesn't move me as a founder, can't imagine it moves a merchant either.

tried your AI store assistant on a draft last week. too vague sounds like every chatbot tool. switched to shopify analytics that tells you what to fix clearer but the AI side just disappears, and that's a real part of what i am shipping. led with the popup engine for a day and got two beta users asking if i am a popup company. probably not the impression i want sticking.

would genuinely love to hear from indian founders here who have shipped AI products to US SMBs. when did your positioning actually click. what was the moment.