@bushido_hk smarter checkout helps but cart abandonment isn't really a checkout problem. most of it leaks before they ever get there. a fast gateway on a weak cart still loses the order.
English
Aditya Singh
2K posts
Aditya Singh
@adityasingh_58
Most Shopify stores leave 30% revenue on the table 📉 I built Oxify App to fix that — 1,000+ stores use it 👇 See how
India Katılım Eylül 2012
1.1K Takip Edilen1.8K Takipçiler
🚨 BIG FINTECH MOVE!
Pine Labs just ACQUIRED Shopflo for ₹88 Crore 🔥
India’s payments giant is going full-stack:
From offline POS king → now owning intelligent online checkout too.
Cart abandonment? Dead.
Conversions? About to explode.
This is how you build India’s unified commerce beast.
#PineLabs #Shopflo #Fintech #StartupIndia
English
@saghaye_jahanam abandoned cart attribution gets generous on small lists. a chunk of those orders come back without the email firing, the flow just catches the click on the way in.
English
Small Shopify store. Half revenue from email. Almost zero ad spend.
Secret:
✅ Welcome flow
✅ Abandoned cart flow
✅ Post-purchase flow
✅ 8 campaigns/month
Result: More revenue. Lower ad spend. Better margins.
👉 bigbangflow.com
#EmailMarketing #Shopify
English
@ChelalaPierre1 the ad creative analysis use case is the obvious one. same teardown on the pdp and cart flow is where most still eyeball it. what's your stack doing on the post click side?
English
Stop using AI like a dumb bimbo and make it fucking useful.
Some of these broke ecom operators are using AI like idiots and getting nothing out of it
the first mistake is asking AI "where do we put this?"
Fucking mentally low capacity usage of a half of brain, absolute backwards.
Any decent business owner would ask something in the essence of
"what are we doing every single day that a human shouldn't be doing anymore?"
daily P&L used to require a person.
But now AI does it automatically.
It's connected to Shopify, Triple Whale, and connected to every ad account.
Every morning there's a full report ready.
Details about revenue, ad spend, fees, cost of goods, AND net margin.
Zero human error.
The person doing that job manually got replaced and the output got better thankfully
Remember when market research used to take weeks?
Amazon has hundreds of thousands of reviews across every product in every niche
and inside those reviews customers are telling you exactly why they buy
what language they use to describe their problem,
Even what they tried before and why it failed.
you cannot read that manually, and if you can… get your Tism checked.
Anyway AI scrapes it all.
Creative analysis used to be guesswork.
Google AI Studio can watch every single one of your video ads
Then identify patterns across winners and losers.
Everything from why did this hook hold attention
to where did people drop off in that one.
customer support used to require a full team.
90% of our tickets are now handled by AI.
the complicated 10% gets escalated to a human.
competitor research is next
English
@accelero_agency @ecom_rickx the collection page move is the part most folks skip. how do you split the upsell offer between the collection lander and the post purchase, or do you keep them the same?
English
@ecom_rickx Operating with a low AOV in a high-CPC environment like the US is a recipe for immediate insolvency. By shifting to collection pages and aggressive post-purchase upsells, you buy the margin necessary to outbid competitors who are still struggling with single-digit profits.
English
Your AOV needs to be at least €100 in the US market.
If you're sitting at €50, you're dead before you even start.
Let me explain:
CPCs are €1-1.50 right now.
At €50 AOV you need 50 conversions to hit €5K revenue.
You're bleeding €50-75 per conversion just on ad cost. Your margin is gone.
Flip that to €120 AOV. Now you only need 25 conversions.
Same budget, half the volume, way more profit.
How to get there:
Run collection pages, not product pages.
Show multiple products upfront.
Stack discounts everywhere - header, product page, cart (Buy 2: 10%, Buy 3: 15%, Buy 4+: 20%).
Post-purchase upsells. Add €10 AOV instantly with one-click offers.
Combine and save sections on product pages. Let them scroll through 50-70 products without leaving the page.
Higher AOV = you can outbid competitors at the same ROAS and win.
Fix your AOV before you scale another dollar.
English
@Iamjuscelino @appgain bundles only plug the aov leak when the savings show on the product page, not just the cart. people decide quantity before they add. we built our bundles app around that.
English
@appgain Conversion leak fixes > new traffic spend every time. AOV bundles + cart recovery on WhatsApp is exactly the playbook we run for Shopify clients. Most stores chase ads when they should be plugging holes first.
English
Traffic is coming.
Orders aren’t.
Not a traffic problem —
a conversion leak 📉
We fixed it for EL Basha Store:
💳 Seamless checkout (Paymob + Kashier)
🛒 +12% AOV with bundles
🔁 Cart recovery (WhatsApp & SMS)
Traffic ≠ revenue.
Fix what’s broken.
#Shopify #Ecommerce #Appgain
English
@Lucaecom the omni channel piece is what makes the few day dips actually survivable. one channel only and the same dip turns into a panic optimization spiral that breaks the stuff you weren't even testing.
English
The only solution to this is not giving a fck, I don’t give a shit, if you are around in Ecom for several years you get more and more nonchalant and resilient. Do not build on one channel only, make sure to be omni channel and use all possible ways to balance your traffic and LTV but sometimes the performance just drops for a few days across a platform or a few but the goal is to not give a fck, it will get better again and non of this shit are real problems, this is the first world problem visualisation par excellence
Shri Kanase@EcomShri
got off a call yesterday with a guy running 7 brands man sounded so pissed. genuinely venting the whole time. meta had wiped out results across every single one of his brands in the last few weeks and he had no idea what hit him 70-80% of his budget is sitting on facebook across 7 businesses one platform bug and now 7 businesses are bleeding at the same time you know what's insane, though? this isn't new meta does this every single year, and brands just normalize it… > complain on twitter for a week > meta gets a bit better > go right back to dumping everything into facebook like nothing happened it's like having one key to your house. someone warns you to get a spare, you think about it, never do it, then one day you lose that key, and you're locked outside in the middle of winter, shivering. the comfort of "it's working right now" always wins until it doesn't now, the guy's goal for the rest of 2026 is to flip everything. make google the main channel, push meta to secondary right call. just wish it didn't take 7 businesses nearly collapsing to get there when you have google running as a foundation and meta breaks, you go from $10k a day to maybe $7k annoying, but you survive when meta is all you have, and it breaks, you go from $10k to $100 that's zuck literally putting your brand on life support, and he just doesn't care
English
@uvkewate trust gets the install. retention is the part that tells you if the app actually solved what they hired it for.
English
The Shopify App Store is getting more competitive every quarter.
But here's what most founders miss: the best apps aren't winning on features.
They're winning because merchants already trust the founder before they ever click "Add app."
English
@getstorescout premium framing on top of catalog only sticks if the cart confirms it. small free gift threshold above your AOV does the same job at the bottom of the funnel.
English
Most Shopify stores price products randomly.
Fenty doesn’t.
Most products sit between $25–$49, but newer launches are priced WAY above the catalog median to push a more premium perception and increase AOV.
I built StoreScout to uncover data like this.
getstorescout.com
English
@JurrianEerden the streaks where it clicks usually come from the offer side holding up. what's your offer doing differently this week vs the slow ones?
English
@davidifeconvrt the quantity default does more than the copy. swap the default from 1 to a 2-pack with the savings labeled and the decision shifts before they even read the bullets.
English
Small changes on your product page = big impact on revenue.
It’s not about redesigning everything.
It’s about fixing what affects decisions.
That’s where most sales are lost.
#Shopify #CRO #eCommerce
English
@PhilKiel first order aov is the lever that compresses the audience meta sees. second order revenue and post purchase don't touch the entry price the algo's optimizing on. did the founder's case have room on the back end before they pushed first order?
English
When you increase your first order AOV, you change who is willing to convert.
Meta optimises toward people likely to complete a purchase event. The more expensive or involved that event becomes, the smaller the pool.
Reach compresses. CPMr rises. Your funnel shrinks.
Not because of anything you did in the ad account. Because of what you did on the website, here's how and why 👇
Phil Kiel@PhilKiel
English
@kamil_sattar true classic wins because the offer is more of the same shirt at a bundle price, not a random add on. we built this into our cart drawer. how often does the winning offer end up being the same product vs a complement?
English
True Classic added $500k in revenue with a simple post-purchase upsell. No extra traffic needed. Meanwhile you're sending customers to a generic thank you page instead of offering a one-click upsell. That's the gap.
English
@EcomShri the survivors of meta breakages aren't usually the ones with bigger budgets. they're the ones whose aov gave them margin to absorb the shock. thin cart stores get wiped first because the math has no slack.
English
got off a call yesterday with a guy running 7 brands
man sounded so pissed.
genuinely venting the whole time.
meta had wiped out results across every single one of his brands in the last few weeks and he had no idea what hit him
70-80% of his budget is sitting on facebook across 7 businesses
one platform bug and now 7 businesses are bleeding at the same time
you know what's insane, though? this isn't new
meta does this every single year, and brands just normalize it…
> complain on twitter for a week
> meta gets a bit better
> go right back to dumping everything into facebook like nothing happened
it's like having one key to your house. someone warns you to get a spare, you think about it, never do it, then one day you lose that key, and you're locked outside in the middle of winter, shivering.
the comfort of "it's working right now" always wins until it doesn't
now, the guy's goal for the rest of 2026 is to flip everything.
make google the main channel, push meta to secondary
right call. just wish it didn't take 7 businesses nearly collapsing to get there
when you have google running as a foundation and meta breaks, you go from $10k a day to maybe $7k
annoying, but you survive
when meta is all you have, and it breaks, you go from $10k to $100
that's zuck literally putting your brand on life support, and he just doesn't care
David Herrmann@herrmanndigital
This week, like many other weeks in 2026 (2025 / 2024 / 2023 / 2022...) Meta ads simply broke. You probably haven't heard a peep from Meta on it, but it's been brutal. We're talking turning ad accounts off brutal. Some of you were probably 100% immune. Others had no idea because your teams suddenly tried shifting their creative / offers. Others work with agencies that probably set it and forgot it. Whatever it may be... I sound like a broken record here venting. But this just simply is becoming more and more unacceptable at the sheer level of these bugs. There feels like no recourse. No post-mortems. No true apologies. Just simply, break then kill a brand's performance for around a week, get a small refund, then move on to the next time it breaks. I'm tired guys. I know X is here to post about AI automations and how awesome I am, but the reality is this week (much like many other weeks prior) I find myself being therapist to CMOs and brand teams trying to figure out is this a bug, a creative issue, or the business. More and more it's a bug. I want Meta to be stable, but every year from Feb - May it's just a mess. Do we simply just pull budget during Meta's annual bug season? I'm out of answers personally but on behalf of the brands that pay me to manage advertising across every ad platform, I'd like some answers from Meta because it's the only one plagued with these issues at this scale.
English
@BrendonBurchard @tobi defaults only get you part of the way. the brands compounding here aren't shipping the template, they're configuring the upsell to match what the buyer just did. that's still the work.
English
It’s straightforward race now: become the Replit of shopping online. Take all the extraordinary conversion data you have on pages and at cart and upsells, and make that default easy as part of all Shopify setups (it’s not even close right now without spending to get there).
Replit of ecomm.
Easy win.
English
@workflowau 1hr is fine but the cart side does most of the recovery before the email ever fires. free gift threshold or shipping bar usually catches the mid intent buyer first.
English
Klaviyo Flow Breakdown: Abandoned Cart 📩
Here is the exact structure I use for Shopify stores:
✅ Email 1: Reminder
Sent: 1 hour after abandonment
✅ Email 2: Benefits + Social Proof
Sent: 12 hours later
✅ Email 3: Urgency + Discount
Sent: 24 hours later
Why this works?
English
@AnthonyLapietra look matters but the savings math being obvious on the pdp before add to cart matters more. you can try oxify bundles, clean tier labels and progress bar built in. apps.shopify.com/oxify-product-…
English
@sytaylor side path checkout always loses. intent doesn't survive a context switch. did the 77% cluster on a specific step or was it spread evenly?
English
In March, Walmart said ChatGPT Instant Checkout converted at 1/3 of click-outs to Walmart .com
- 1.18% conversion
- 77% cart abandonment
- Walmart's EVP called it "unsatisfying."
Two weeks later OpenAI confirmed closing Instant Checkout in favour of merchant-controlled flows.
Romford, London 🇬🇧 English
🚨 JUST IN: Amazon, Microsoft, Meta, Salesforce, and Stripe just joined Google's UCP.
The protocol war for agentic commerce is over.
Google's UCP won
Here's why 🧵
Romford, London 🇬🇧 English
@dannybuck the deals piece carries most of it. a tiered offer or free gift threshold lifts basket size with zero ops, which is the whole point of the no team line.
English
One CBO.
One store.
Basic Shopify, not plus.
AI Ads
AI CX
A few SKUs
No homepage banner
Good products
Great deals.
No team.
People are gonna make millions with this set up.
English
@bruno_dl the 2-4 star reviews and support tickets pull harder than the surveys. surveys self select to people who liked it enough to answer, the bad signal lives in tickets.
English
here's how i find 20-30 test ideas for any Shopify store before charging a cent:
heatmap com for funnel + scroll behavior
session recordings for actual user confusion
post-purchase surveys for why they bought
2-4 star reviews for why they almost didn't
support tickets for recurring objections
exit intent surveys for last-second doubts
every test i run comes from one of these six sources
never from a gut feeling
English
@MEEcom44 the aov bracket part is where the lift sits. low cart gets a top up, high cart gets a complement. how granular do you go on the brackets?
English
5 configs I run in every Shopify store before the first ad dollar drops.
Post-purchase upsell trigger. Fires at order confirmation, segments by AOV bracket. Every account I've added this to lifts average order value without touching ad creative.
Abandoned cart timing. Set to 43 minutes, not the default 60. The off-round send hits before the inbox floods with every other brand running the same Klaviyo default.
Chargeback pre-flag. Flags billing address mismatches on orders above $80. Running this since April and it has caught every suspect order before it shipped.
Klaviyo sunset window. Set to 120 days, not 90. Deliverability holds tighter. The 90-day default is chasing away contacts who are slow-warm, not dead.
Review request send window. Day 7 outperforms day 14 on almost every store I've tested. High-consideration products are the only exception.
every default you have not changed is a decision someone else made for your store.
English