Mobile Checkout Converts Far Worse Than Desktop

“Great Start! What’s your conversion rate? Do you sell only 1 product? What’s the product CR for every product? I am working in Ecom for 18 yrs now and it was crazy to see the traffic mix coming from around 50-60% organic traffic to now maybe 20-30%, rest is Ads. And Ads getting more expensive every year… so you need a great product that converts well with Ads! And CRM, because you want them to buy more than once… [re: Those of you with stores doing 500k+ how did you get there and what strategy p”

“i ran into this again with a client last month. google said 61 conversions, meta said 44, shopify said 71. everyone in the meeting had a different number and nobody was lying, they all just grade their own homework. what i do now is simple. i take platform numbers as directional only, never additive. then i compare against backend revenue for the same period, orders in the store, not what any platform claims. the gap between platform ROAS and that blended number is usually the real story. MAI pu”

“One other thing worth checking in Shopify Analytics is which landing pages are getting traffic, then comparing add-to-cart and conversion rates as you make changes. That should give you a better picture than bounce rate alone. [re: new store, 95% bounce rate on mostly mobile instagram ad traffic. what would you check first?]”

“Good point on the mobile app. So the real AI number is probably higher than what shows. Do you do anything to catch some of it, or just treat it as a floor? [re: GEO vs SEO for a Shopify store: what’s actually different, and what should you do first?]”

“Your conversion is not bad so far, i don't think you can blame it on your app being "bad". (But again, its a small user base, so you cannot determine any trends for sure yet). Try getting more installs first, increasing to 10 a day maybe, then see if your paid customers increase, if it doesnt and your conversion rate falls, then thats when you know its an app problem and not a publicity problem. [re: My first two customers came within 2 days of launch. Now it's been 3.5 weeks of no”

“0% with 13 views is mostly a traffic problem not a checkout problem. 13 is noise. fix discovery first (seo, communities, one channel) before tweaking the funnel. if the store itself is clunky i work on orderain (orderain.com), full store platform, not a plugin. but honestly at 13 views the platform isn't the bottleneck. [re: I shipped 9 products and got 13 views in 30 days. The whole store converts at 0%. Here is what I measured.]”

“Are those 647 'Buy' clicks unique visitors? Repeat clicks from someone browsing on a phone, then coming back on a Mac, would change how you read that 8%. [re: I made 50+ sales ($350+) from my Mac app in 7 days. 79% of my traffic came from Threads. AMA]”

“I'd concierge 10 purchases end to end before building checkout. If nobody comes back for a second purchase, automation isn't the problem. [re: Built the product, struggling with distribution, how would you validate this? (I will not promote)]”

“What's the current state of the checkout flow, does it literally place the order for you or just dump you at the retailer's cart page [re: Looking for beta testers for an AI shopping agent that helps with product discovery, checkout and returns]”

“fair, that settles the sandbox side for me. so the only workable check is on the page side: log what the Customer Privacy API reports at accept time and compare it with what the pixel actually receives. did you end up reading consent state from the page and passing it in, or are you just treating a missing event as "no consent"?”

“One thing that bit me in similar situations: steady traffic with falling sales is often a mix shift, not a drop in the whole funnel. Segment conversion by device and by traffic source before touching the store. A new ad audience or a slower mobile checkout can hide inside a flat sessions number while the overall rate slides.”

Wdym ?

“The free first pass is the funnel, nobody here is confused by that. But diagnosing was never the bottleneck. Clarity shows you the rage clicks in ten minutes and PageSpeed shows you the 4MB hero on mobile, and people still don't touch it, because fixing it means rewriting the product page and killing the ad creative they've gotten attached to.”

“new customer CAC after returns. meta reports one number, shopify another, and neither subtracts the orders that come back three weeks later. in apparel that's often 20-30% of orders, enough to turn a "profitable" month into a loss on paper.”

“I think the bounce rate is a really good indicator because if people are visiting your store, but barely spending any time on there, it’s a good sign that there’s a lot to change on there”

“You made a list but you should look at that from the right perspective. Checkout completion tells you if you have bugs, unclear costs that unveil during checkout or tedious forms. If you're on shopify you can easily exclude the first and the last. The second is something you already know. Conversion Rate in general (orders on sessions) is a flag that might tell you what's wrong, but the you need to deep dive into it to find out. Add to cart imho is a kind of stupid metric: people add to”

“Split it into traffic vs conversion first, since the fix differs. If visits are steady but sales aren't, look at conversion rate per channel rather than the overall average, since one channel can drag the rest down unnoticed. If traffic itself dropped, that points somewhere else entirely.”

“I would prepare for it, but treat agent traffic as an experiment rather than a forecast. First, separate it in analytics from normal referral traffic and watch assisted conversions, not just last-click sales. Some agents may send shoppers to research pages before they return through search or direct traffic, so attribution will be incomplete. Server logs and referral data can still give you a rough view of crawler and assistant activity. The practical work is mostly good ecommerce hygiene. Keep”

“Agreed with the other comments. I'd imagine it is less of a problem when the Checkout page is a common provider like Shopify, the familiar UI makes it less suspicious.”

“I’d stick with Klaviyo for now and work through where the drop-off is happening. There isn’t enough context here to recommend another channel, and declining results don’t necessarily mean people have stopped buying through email. Since you mentioned bigger carts getting worse, that’s where I’d start digging. Go through checkout yourself, especially on mobile. Test a larger basket and the payment methods your customers use. Check for payment failures, shipping restrictions, unexpected costs, uncl”

“It sounds like you are focused on what happens after they abandon cart, but it could be a hitch in what happens once they are on the checkout page. It could be as simple as your customers getting all the way to the cart and seeing the total with tax or with shipping. Then they go to a competitor’s site to compare and maybe the competitor offers a better shipping deal. When was the last time you did a competitor analysis or went through your own checkout process? The answer might lie somewhere el”

“I run a DTC brand in the US and watching people get all the way to checkout then bounce is painful. Feels like I did everything right and they still dip at the last step... To fix this I started with basic shopify emails, then moved to klaviyo which helped for a bit, but lately it’s feeling mid again, especially on bigger carts. People just seem to ignore the emails now. Anyone found something that actually works better? Phone / AI voice follow-ups, WhatsApp, faster triggers, or is the answer ju”

“iPhone SE checkout bug you cant reproduce is almost certainly a viewport issue, those screens are 375px wide and payment iframes clip differently there. Grab BrowserStack for 30 bucks a month and test on real device emulators before every push, thats your whole QA budget right now You dont need a QA person you need a release checklist. Payment flow, signup, push notifications, one real purchase on the lowest spec device you can find. Takes 20 minutes per release and catches the stuff users are D”

“my bet on the SE thing is ram, not layout. old handsets jettison the checkout webview under memory pressure and leave no crash behind, which is why you can't see it anywhere and your own phone never does it. try checkout on a brand new account too, the states you never sit in are where the bugs live.”

“If orders are still coming through normally and only conversion history is delayed, I'd assume reporting lag before touching any tracking setup. That data isn't always written to the order instantly, even though normally it shows up pretty quickly. I'd check a couple older orders again later and see whether it backfills. The important thing is whether your actual analytics/events are missing too or just that order-level view. Questions: Are conversion details missing from every new o”

“With only a few purchases, gaps of several days are what small numbers look like, so I wouldn't read much into the pattern yet. The fastest check is to message every paying customer and ask where they found KinScan and what almost stopped them from buying. Their answers tell you about your traffic source and your positioning at once. Do you know yet where those first buyers came from?”

“Most of our tickets are the same five questions. Volume is volume though, and every answer steals time from shipping. What actually reduced your ticket load without adding headcount? Deflection bots, better docs, or fixing the screen in the product? submitted by /u/arslannasir128 [link] [comments]”

“Marketing landscape has changing but before we dive into that what are your analytics telling you? Are visitors down, cvr down, or both?”

“how long did you run the test? imo a week or two isnt really enough to call it, especially with a mobile app where traffic patterns shift a lot day to day”

“The important part to consider is HOW EASY the checkout process is. If customer has to go through a number of different step, I'm sure there is a sunbstansial dropout rate. If it's a seamless process, I would not care about the look and feel. I personally use apple pay wherever it's available just because it's a "push of a button". Audit your checkout path, see if there steps that could be eliminated or simplified. I do it for my clients, can't recall a case where I”

“Our cart abandonment flows have one of the best conversion rates we've got when you factor in their send rate. We added SMS where before we only had email, so now a high-value cart gets a text instead of just an email. The other one that mattered was replenishment. We used to email everyone 60 days after purchase, no matter what they'd bought, but I used the data we've got in Klaviyo to time it according to when they're likely to run out. Now it sends a nudge a week or so before,”

“Usually the biggest lift is removing uncertainty, not adding urgency: a clearer first-screen promise, photos showing scale, shipping/returns near the CTA, and fewer cart decisions. I’d watch add-to-cart to checkout drop-off separately from traffic.”

“The "multiple CTAs competing for attention" part hit me. I've definitely seen pages where every button is asking for something different.”

“I used to fixate on getting more traffic for my online boutique. Then I started looking at what happened after people landed on the site. A lot were viewing products but dropping off before checkout. Making product photos and sizing information clearer, and simplifying the buying process, made a bigger difference than I expected. It made me realize that more traffic isn't always the answer. Sometimes you need to fix what's happening after the click. What are the changes that made the big”

“tbh most early founders dont even have enough traffic to diagnose conversion properly. if youre getting like 200 visits a month the sample size is too small to draw conclusions, so the answer might actually be more traffic first just to get readable data”

“Your page layout and funnels are important but don't forget about the email touchpoints that happen after someone's clicked off. Abandoned cart is a big one. They've already shown intent, they just didn't finish. Abandoned cart flows tend to be the highest-earning automated email type on average, mostly because the timing does the work for you. If that's not set up yet, it usually has a bigger impact than another page tweak.”

What was the impact on CR?

“Rather than look for one magic change, I’d break it into funnel stages: product-page engagement, add-to-cart rate, checkout start, then payment completion. The changes I see move the needle most are clear price/shipping ETA/returns above the fold, one primary CTA, proof (reviews, UGC, or specs), and a fast mobile checkout. Test one variable at a time for enough sessions; don’t judge on a few days of orders. If add-to-cart is low, fix the offer or product page; if carts do not reach checkout, ins”

“If a store is getting traffic but sales are weak, I’d check the store experience before spending more on acquisition. A low conversion rate can come from a lot of places, and it helps to narrow down where people are actually dropping off. 1. Check whether the product page explains the product clearly Good photos matter, and video can be even more useful when shoppers need to understand the size, texture, movement, or how the product works. The copy should also help someone make a decision. Specs”

“Before running a conversion campaign, I would make sure the store can convert the traffic you already have. Check the mobile journey from a category page all the way to payment. The biggest friction points are usually unclear delivery timing, weak returns information, size uncertainty and extra costs appearing late. Also look at where visitors leave rather than treating all low conversion as one problem. A category-page exit needs a different fix from someone abandoning after entering payment de”

“with 10k sessions I’d stop looking at the overall conversion rate first and split it by source + device. Google vs Meta and mobile vs desktop can tell you a lot. Then I’d look at the funnel: product view → add to cart → checkout → purchase. 0.2% could be the store, but it could also just be a ton of low-intent traffic dragging the average down. The step where people disappear is more useful than the final conversion rate.”

thanks im looking at whop someone else mentioned that as well

“I'd honestly just accept the full redirect. The amount of problems that can come up with a custom checkout is not worth it IMO. As long as the checkout provided by the gateway is not terrible (like Authorize.net is ) it will likely be better. It's also possible that it converts better. Everytime I see a custom checkout I do get a bit concerned if they have my card info. If I get redirected to a known gateway then I'm not worried at all.”

“Everything feels pretty smooth until someone wants to pay, then they get pushed into a completely different flow. It works, but as orders have started picking up I’m wondering if I’m losing people there without realizing it. Right now checkout is probably the most disconnected part of my customer journey. I’ve been looking into embedded checkout so I can keep the whole experience closer to the site but I don’t want to rebuild something that’s already working unless there’s a real benefit. Any re”

“Building on the point above: at $900-2400, ATC on cold Meta traffic is the wrong metric. Those buyers research for a week and come back several times. What you should track is how many of the returning visitors you actually get to talk to. A custom PC is a consultative sale: will it run X at 1440p, can I upgrade the GPU later, who fixes it if it dies. Every unanswered question is a lost cart. Add a "talk to the builder" option on the product page and the cart, and staff it during your”

“Depends on the platform, but the idea's the same everywhere. Instead of coding a card with the product name, price and photo baked into the page, the card points at the platform's own product object, a metafield section or the native product picker in Shopify's theme editor, a CMS collection item if it's something like Webflow. So the workflow after that is just the client's normal admin panel. They go to Products, add one with a title, price and photos, hit save, and it show”

“0.2% is definitely low, but 2–3% isn’t guaranteed—it depends on traffic quality and product category. I’d first check the funnel: landing page → product page → add to cart → checkout → purchase, and segment by device, traffic source, and new vs. returning users. Find where the biggest drop-off happens, then fix that.”

“I told them max conv needs 30 conversion to help Google understand what conversion means. There argument: but all the variables, impressions, clicks and conversions are unknown. So why not shift to maximize conversion and why max cpc with a cap. I can argue with maximize conversion has no cap, meaning clicks can cost from $2 to $20. But other than that I don’t have much to say. submitted by /u/Long-Transition9616 [link] [comments]”

“I’d diagnose the funnel before changing the whole site. Check where people drop off: product page, add to cart, checkout, or payment. Also compare Google and Meta separately, since ad traffic can vary a lot. For electronics, trust factors like warranty, returns, delivery time, payment options, and product details can make a big difference.”

“0.2% is low enough that I'd diagnose the funnel before trying to optimize the whole store. Break those 10k sessions into source, device, landing page and then check product views -> ATC -> checkout -> purchase, because the location of the drop-off tells you a lot. Electronics can also have a trust problem, especially with unfamiliar stores, so shipping times, warranty, returns, payment options and actual product information are worth checking pretty closely. I wouldn't assume 2-”

“I think higher ticket buyers need fewer pressure tricks and more proof. Reviews near the buy button and clear delivery or returns can really help. For abandoned carts, I use postscript for Shopify SMS, and I would keep the first text as a question before offering any discount.”

“I'm working on an eCommerce problem where a store can have hundreds or thousands of visitors, but only a small percentage actually show strong purchase intent. The interesting part is that not every non-converting visitor should be treated the same. Some visitors browse for a few seconds, while others view multiple products, revisit the store, add/remove products, compare items, etc. We're exploring whether behavioral signals can be used to identify these high-intent visitors and priorit”

“Hi everyone. This past week I have been seeing a ridiculous amount of add to carts and initiate checkouts, with extremely low purchases. I have not changed anything in my funnel, and my checkout is the same as it always has been. No hidden fees. No paid shipping. No changes at all. My store's conversion rate has also decreased and I am at less than 1% conversion rate. April-July it was around 6%. Any advice would be appreciated. submitted by /u/Antique_Speaker_3523 [link] [”

“The easiest way to answer your actual question (is this meaningful for my store yet) is in your own analytics, not in ChatGPT. Clicks out of ChatGPT come through with chatgpt.com as the referrer, so pull referral traffic from chatgpt.com in GA4 for the last 6 months and see whether it's a rounding error or a real line. For most stores it's still tiny next to google, but the people who arrive that way have usually already been told what to buy, so watch the conversion rate on it too. That”

“How tight do you have the velocity filter? You can stop this most of the way with that. Not all of the way...but close. The next step is to use your firewall to block the offenders. We recently had a well-organized bot attack trying to do the same with us and they had tweaked well enough to get past both the Authorize.Net and WooCommerce velocity filters with just a few orders each time before being blocked out, so I went through the logs, found where they were located and blocked out their IP r”

“Everyone's dug pretty thoroughly into your product page, but I'm wondering how things are working as far as cart recovery goes. Do you have a cart abandonment flow set up or does it just end once someone bails at checkout?”

“u/hzerogod , the real problem is your PDP, where less than 2% of sessions are adding the product to the cart. The popup you have on the PDP to capture emails and provide ₹10 off could be causing drop-offs. This popup should be personalised based on how the user is interacting with the page, rather than being shown blindly to every user after X seconds. Also, consider showing video proofs on product pages. The “You May Also Like” section should also be personalised based on other products the use”

Thank you so much!

“to be honest for me all looking fine. free shipping, the size, details, close up pictures, address finding, checkout ui, supported payments. I will check again later, let you know if I notice anything.”