Mobile Checkout Converts Far Worse Than Desktop

“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”

“Your funnel suggests the biggest leak is before or at checkout, not simply traffic. First test one order yourself on mobile and desktop with a fresh session, checking shipping-rate display, payment errors, and any surprise fields; then compare checkout abandonment by device and country. With only 8 purchases, fix the clearest friction before changing the whole product page.”

Australia

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.”

“i think a lot of cart abandonment is just people browsing, so focus more on where people are dropping off in the checkout. shipping costs and unexpected fees would probably be the first things to look at”

“Treating all 70% as recoverable is certainly a futile effort. It can be helpful to actually look at the intent depth, ie did they hit checkout and start entering details, how far through did they get, or did they just add to cart and bounce? Someone who added in their shipping address and hit a snag at payment is a real buyer worth chasing hard. Someone who added one item and left three seconds later is mostly window shopping, and a recovery email to them probably won't hurt, but is unlikely”

“conversion is about relevance and relevance starts with the ad creative. if your ad attracts the wrong audience, no landing page will convert them. the solution is ultra-specific creative per audience segment a different hook, a different pain point, a different presenter that looks like the target customer. arcads makes this economically viable because generating a video ad for each segment costs minutes not thousands. we run separate creatives for each persona and the segment-specific versions”

“A/B test free shipping if you're conversion drop is between cart and checkout. You may need to boost your catalog's pricing to support it, but if you have enough sessions to measure it, that's the single biggest point of friction between cart and checkout. Further more, if you can track what stage of checkout that has the highest drop, you'll have more actionable intel.”

“What you're asking for is CRO - conversion rate optimisation. This falls into the bottom of funnel area. Look up the sales funnel or just 'the funnel' and you'll find broadly 3 sections. Top is awareness: you need people to know you exist. Middle is consideration: where you 'present' yourself (e.g. the website). Lastly is conversion: pushing them over the edge to a sale. It's a funnel because at the top is the entire market. You will never be able to sell to the entir”

“There is. Analytics, then Reports, look for the conversion over time report, or the funnel on the Analytics overview: sessions, added to cart, reached checkout, converted. That gives you your actual checkout completion rate instead of a guess. Rough benchmark: on a healthy store, somewhere around half the people who reach checkout finish. Below about a third and something specific is wrong. For a store that just launched, the usual culprits in order: shipping cost showing up for the first time a”

“what causes this? Running Meta ads in India, ~₹4L/month. Digital product, single checkout flow, one pixel dataset. Looking at Events Manager match quality and I can't explain what I'm seeing. Every browser-side parameter on Purchase is almost exactly 50% of its InitiateCheckout value. Server-side/order fields are unaffected — phone stays at 100%. It's not a gradual decay through the funnel. fbc is 89% on PageView, 89% on AddToCart, 89% on CheckoutStepView, 76% on InitiateCheckout — t”

“This is really interesting. Have you looked at what those shoppers actually do on the PDP before adding to cart or leaving? I'm especially curious whether they're spending less time browsing but disproportionately interacting with things like reviews, sizing, shipping/returns or comparisons — basically whether there's evidence that they're arriving with fewer, more specific questions left to resolve.”

“That's a fair point. High-intent traffic landing directly on a PDP obviously isn't new — Google Shopping has been doing that for years. I think the part I'm trying to understand is whether AI changes the amount and type of consideration happening before the click. Someone may have had a fairly detailed conversation about their needs, compared several options and narrowed the choice before they ever reach the store. If that's true, the interesting question may not be “how do we bu”

“Check your user flow from the home page to the product page and checkout. At every page, ask yourself why a customer would buy. Also, keep in mind that these drop-offs could just be bots or competitors checking your store”

Shop Pay, Apple Pay, Google Pay. Everything really.

Maybe the payment method/processor? What options do you have?

“There isn't anything wrong with my shipping address or checkout process, I’ve checked everything. I'm not sure why nobody is converting. Has anyone else experienced this problem? Any ideas on what might be causing it or how to fix it? submitted by /u/Justincy901 [link] [comments]”

“Yes, the 5-second test is useful, but I’d also check message/intent match. A homepage can be perfectly clear and still convert poorly if the traffic arrives with a different intent. and +1 as well for the issue of trust raised in another comment I usually look at: acquisition intent → headline/message match → proof → friction to the next step. That quickly tells you whether the real issue is traffic, positioning or conversion.”

hey bro which checkout u r using currently.

“One small thing that often gets overlooked is making the payment step feel boringly predictable. Clear delivery timing, returns, security cues, accepted payment methods and no surprise fees at checkout can do more than another homepage tweak. People don’t always abandon because they changed their mind. Sometimes the checkout just feels a bit uncertain. For Australian stores, Еway is worth having on the radar because a clean online payments setup with local support can help remove some of that pa”

“you can't reply soley on shopify analytics to track your site conversions. you will have to either dig deeper in the analytics to see device wise/traffic wise conversions. or check your GA conversions. the best way to track and improve conversions is to make data based improvements/updates and then track the conversion data for those individual A/B tests.”

“do they offer telephone / chat support? Customers may have extra questions prior to purchasing a high ticket item”

Changed to a product people wanted.!

“Adding a phone number to the website was an instant trust winner. Hardly any calls are made. Jumped 0.5% CVR. Interestingly, reducing free shipping threshold dramatically increased conversion rate. Yes, we swallowed a lot more shipping charges ourselves, but our CAC became so much lower, we were net better off overall at the bottom line.”

“For me, the biggest “small tweak” is usually making the buying decision easier rather than adding more stuff to the page. Things like putting the important product info, delivery expectations, returns, and reviews closer to the Add to Cart button can make a noticeable difference. I’ve also found that looking at which products actually get traffic but don’t convert is really useful. Sometimes the answer isn’t redesigning the store ; it’s simply changing which products people see first. Small chan”

“A simple order ID could connect the whatsapp sale back to the original session. Once the order is confirmed, send the purchase with the value an transaction ID so the analytics data reflects the actual sale.”

“A really simple test would be recording yourself going through checkout on your phone. You notice little annoyances much faster when you're actually using it instead of inspecting the page on desktop.”

“I'd add payment methods and the actual checkout flow to that list. I've seen stores obsess over page speed while the real problem was something dumb like a payment option not behaving properly on a particular phone/browser combination. I also like doing a real test purchase on mobile over cellular data, not just Wi-Fi, because it catches stuff that a desktop audit can completely miss. Before redesigning anything, I'd compare the funnel step by step on mobile vs desktop and find the e”

“Two things come to mind immediately, loading speed for mobile sites or payment gateway friction.”

“Every store I've looked at has this gap to some degree. Mobile converts lower than desktop, and the reflex is usually to blame page speed or redesign the whole checkout. Before doing either, here's what I actually check first. Autofill behavior on the address and card fields. A lot of mobile keyboards default to the wrong input type, a phone number field that pulls up a full alphabet keyboard instead of a numpad, and that alone kills more completions than people think. Takes two minutes”

“for the didn't-buy side, exit popups mostly collect garbage. better signal is behavioural: which page did they stall on, did they open your size guide / shipping info / reviews right before leaving. whatever they checked last is usually the unanswered question that killed it. i work on sizing tools for clothing stores and that pattern is brutal there, size guide open followed by exit is one of the most common death sequences and it never shows up in GA as a "reason".”

“No they do not buy it, they come to a paywall from web2app funnel, choose the pricing just like a paywall. But when they click pay, instead of a card info page, a page that says "this is being built, take your place at the waitlist" appears. Whether or not they give their mail, we know if they clicked on the pay button or not. So we %100 know what their intent was about the app. This is the whole point. They dont actually pay, and we dont actually have the app. I can try to explain it”

“I'd first make sure you're comparing the same denominator, because "conversion rate" can get surprisingly messy when different systems use sessions, users, clicks or attributed conversions. Your own calculation of orders divided by sessions is a sensible sanity check, but I'd compare the raw daily Shopify orders and sessions against whatever Google is reporting for those exact dates. If the Shopify numbers look normal and only the reported CVR suddenly changed, I'd inve”

“I want to see if any other e-commerce store is having these issues if you’re an expert in this area or you work in this area, please chime in even if it’s just something small so I can better understand these issues that are keeping me up at night. 1) all of a sudden we’re having a bot issue. We don’t think it’s a Meta issue because our pixel has a very high score. However, we do think it could be a Shopify issue if you use Shopify it please comment down below anything you’ve noticed or anything”

What is your industry?

“Digital checkout drop-off is 60 to 80%, so most of what's lost is recoverable. An immediate email with a one-click re-purchase link captures a big chunk; worth testing before you touch pricing.”

“The chat-mining part is underrated compared to the tracking fix. Most stores jump straight to solving attribution and skip the part where the actual questions people ask over WhatsApp are already sitting there, unused. Even just the top 3 repeated questions on the product page usually cuts a chunk of the WhatsApp volume down, so what's left is only the orders that genuinely needed a human. Makes the reporting problem smaller before you even touch tracking.”

“GA4 will not see a WhatsApp sale unless you send the event when the order is confirmed. Log it in the shop or a sheet with source WhatsApp and fire that event from there. Treat checkout conversion as checkout only. Read the last 20 chats and put the three repeated questions on the product page. That cuts the off-site orders as well as the reporting hole.”

“You might need What is stopping you from completing your order? a quick survey on exit intent, test it if it get responses with reasons. https://www.mapster.io/ecommerce-surveys”

“Could work for the FAQ-deflection part of it, the same three questions coming up repeatedly. Doesn't really solve the reporting/attribution side though, that's more of a tracking-setup problem than something a bot on the chat window fixes.”

“Server-side conversion with an identifier passed at the WhatsApp click is the cleanest version of this I've seen suggested here. That identifier's probably the trickiest part in practice, keeping it unique per visitor without adding friction before they even click through.”

“the negotiation is the part I would want logged, more than the revenue. if people are leaving checkout to ask something first, that question is the thing the page did not answer, and it tends to be the same few questions. fix those on the page and some of that segment stops needing whatsapp at all. the rest stays fuzzy, but it is a smaller rest.”

“One thing that hurts conversion for me is information being buried too far down the page. I shouldn't have to scroll through several sections to find the most important details. Good product photography helps but so does a clear layout, consistent branding and a website that feels cohesive from start to finish. Even the domain choice, a .shop for example can contribute to that first impression”

“There are many ways to do that and apps that record user journey. What you chose depends on how much you want to see /know 😉”

“How do you get session recordings?”

“If I see a huge drop in conversion rate out of nowhere, my first thing is to reassess my homepage and product pages from a customer’s POV then confirm to see if the checkout process is still smooth. I also check to see if my marketing and ads are still running smoothly or any app changes that could have affected them or how they appear”

“Most people don't buy the first time they land on a page. Are you capturing email before someone leaves without buying? Browse abandonment and cart abandonment flows exist so you have a way to reach them again. That follow-up data doubles as diagnosis too. High opens and clicks with still no purchase points at price or checkout friction, since the person's clearly still interested days later. Low opens suggest a traffic quality issue, since even a direct email isn't getting opened.”

“I’m getting organic purchases in my app, so I know people are willing to pay for it. However, users coming from paid ads aren’t converting into purchases at all. Could this be an issue with the ad targeting, the creatives, or the type of users that paid ads are bringing in? I’d love to hear what you would check or optimize first. submitted by /u/SeberyDev [link] [comments]”

“I'd start by figuring out whether it's a traffic problem or a store problem before changing everything. If people are adding to cart and starting checkout, I'd look at trust, pricing, shipping, and checkout friction. If hardly anyone is even clicking Add to Cart, it's usually the product page, offer, or traffic quality. Changing five things at once makes it really hard to know what actually helped.”