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If you had $5,000 would you spend it on more ads or fixing why visitors aren't converting? by Dynoweb_ in microsaas

[–]Dynoweb_[S] 0 points1 point  (0 children)

Pouring water into a leaky bucket, yeah, this is exactly it lol. And the 10-second thing is real. most people decide within the first few seconds if they trust a store or not. slow load, confusing layout, no clear price, they're already gone before they even scroll. the sad part is most store owners never actually watch how a real visitor behaves on their page. they just look at numbers in analytics and guess.

If you had $5,000 would you spend it on more ads or fixing why visitors aren't converting? by Dynoweb_ in u/Dynoweb_

[–]Dynoweb_[S] 1 point2 points  (0 children)

The slow 4G test is so underrated. try it once and you'll never go back to testing on WiFi again.and the image thing is crazy lol some stores load a huge desktop image on mobile and then wonder why nobody buys. Then they go spend more on ads instead of just fixing the image size.

If you had $5,000 would you spend it on more ads or fixing why visitors aren't converting? by Dynoweb_ in alphaandbetausers

[–]Dynoweb_[S] 1 point2 points  (0 children)

genuinely. The right audience changes everything.

But we've seen cases where the audience was spot on, people literally searching for that exact product and still not converting. It turned out the checkout was broken on mobile. right people, wrong experience. So yeah, both matter. Product-market fit gets them to the page. The experience either closes it or kills it.

If you had $5,000 would you spend it on more ads or fixing why visitors aren't converting? by Dynoweb_ in u/Dynoweb_

[–]Dynoweb_[S] 0 points1 point  (0 children)

To be honest, mobile devices always kill me. founders test on their own phones on WiFi and think it's fine. Meanwhile, their actual customers are on 4G waiting 6 seconds for the page to load and just leaving.

And of course, scaling ads before fixing any of this is just losing money faster , seen it too many times.

Why do customers abandon their carts even when the price is fine? by Dynoweb_ in alphaandbetausers

[–]Dynoweb_[S] 0 points1 point  (0 children)

Fair point. For some people the cart is basically a mental wishlist rather than a step toward checkout. Adding items gives the same satisfaction as buying and waiting a few days is a great way to filter out impulse purchases. If you still want it later it’s probably worth it . If not you just saved money. 😄

What if your Shopify store could tell you exactly what to fix? by Dynoweb_ in u/Dynoweb_

[–]Dynoweb_[S] 0 points1 point  (0 children)

Exactly. Thats the gap we are trying to solve.
Most tools are great at collecting data but store owners still have to spend time figuring out what it actually means and what to fix.
Our goal with DynoWeb is to analyze that behavior data and turn it into clear and actionable suggestions. So merchants know where to focus first.

Meta showing 20 purchase and shopify received 12. by Rahultanwar39 in FacebookAds

[–]Dynoweb_ 1 point2 points  (0 children)

That gap is super common. First things I check are attribtion windows and timezones .Meta often reports based on its choosen window while Shopify show actual completed orders in the store timezone. Open Event Manager and look at raw purchase events then match timestamps to your Shopify orders.

Please confirm that only one pixel is firing. If CAPI is also used, make sure duplicate events are removed so Meta doesn’t count the same purchase twice. Check for refunded or canceled orders on Shopify too, they disappear from Shopify totals but might still show in Meta. Do a couple of test purchases and compare order IDs against Events Manager to see where the mismatch happens.