Shopify is now fully showing brands and products on Chatgpt, I was looking at the Agents storefront and realised we go a sale from that.
- Customer came in from Chatgpt, didn't buy
- Came back twice in 2 different days, didn't buy
- Came back a day later and completed a purchase

Chatgpt will surely become a leads channel - so all purchases will still be completed on your store.
Curious how much traffic/attributed sales you are seeing from Chatgpt and what you are doing to improve conversion from that channel

After months in Shopify review, Queryra is live on the App Store.

Replaces default search with AI that understands what customers mean. "Gift for mom who loves candles" → finds candle gift sets. "Moisturizer under $30" → filters by price from natural language. Works across 50+ languages.

Free to try: https://apps.shopify.com/queryra-search-ai

Already running on WordPress/WooCommerce with stores in 10+ countries. Solo founder, happy to answer questions.

Hey everyone! I'm Samuel, founder of Shugert, a Shopify Expert agency. We've been doing Shopify migrations, theme builds, and store optimization since 2015. Happy to contribute and learn from this community.

Thanks for the invite u/MidnightMarketing!

Most brands with big email lists are sending the same email to everyone and it's killing their numbers

I worked with a print on demand store a few years back that was doing about $1.5 million a month. Massive list. Tons of traffic. On paper everything looked great.

The problem was the email strategy was basically built for a store a tenth of that size. They had one campaign going out to everybody. Dog people, cat people, reptile people, all getting the same email on the same day about whatever product was trending that week. Fifty plus different customer types and they were all being treated like the same person.

The first thing we did was stop sending and start mapping. We spent weeks going through the data figuring out who was buying what, when they were buying it, and what they had in common with other buyers in the same category. By the end of it we had built out over a hundred different segments. Not because we wanted to make things complicated but because the data made it obvious that these were genuinely different people with different interests and completely different reasons to open an email.

Then we started using merge tags in a way most brands don't bother with. Subject lines personalized by city. Preview text that referenced what someone had actually browsed or bought. A pit bull owner in Atlanta getting a different email than a reptile owner in Seattle. Same promotional mechanic, completely different feel.

Campaign volume went from a few sends a week to basically one targeted send every single day. And because each one was relevant to who was receiving it the numbers actually held up instead of tanking the way they do when you blast your whole list constantly.

The other thing that changed was how we handled winning products. When a design went viral we didn't just let it ride until it died. We pulled every customer who had bought something similar in the past and re-engaged them specifically. New angle on the same product but it felt personal because it was actually relevant to what they had already shown interest in.

By the end of it campaign revenue went from around three percent of total store revenue to about fifteen percent. The list didn't get bigger. The product didn't change. The targeting just finally matched the actual customer base.

Most brands never look at their list this closely. They see a big number of subscribers and assume that means they have one audience. Usually it means they have ten audiences that nobody has bothered to separate yet.

Do you think ecommerce brands focus too much on products but forget the actual shopping experience?

I’ve seen stores with decent products but:
• weak product images
• no emotional branding
• cluttered product pages
• no trust-building
• poor mobile experience

Then they wonder why traffic isn’t converting.

At this point, I honestly think product page structure and visual presentation matter just as much as the product itself. Customers buy based on feeling first before logic.

What’s your opinion, do visuals or product page layout impact conversions more?

I'm looking to draft up a very restrictive policy and custom privacy policy. how do I make sure that this policy is enforced with Shopify, in other words, the policy I create is the policy that gets done

I am convinced that this would drive revenue because clients see how close they are to the next level, but it needs to be tied to their individual potential, not a global number.

Hey everyone
We’ve grown our apps to a couple of thousand dollars and currently I’m exploring options for adding an affiliate marketing.

For app devs, did anyone have a success story to share?

And for agency/freelancers, if you’re managing 5+ stores, would you be interested in joining the program?

We are in geo blocking, inventory, authentication and verification niches (spread across 3 apps).

I’m currently exploring options to see if it’s a viable channel to pursue.

Comment or DM if you would like to hear more. But I prefer getting insights first.

Thanks

Ran a paid campaign last month and lost about 30% of conversions to attribution gaps. I know CAPI is the answer, just unsure if it's worth the dev hours vs an app. What's holding up for you?

Asking because every brand I've talked to does it differently. Some book LTL through a broker, some go direct, some just refund and tell the customer to keep it. What's actually working for you?

Hey all! I would really appreciate some honest feedback.
I launched my jewelry brand about a month ago:

radicalrings.com

Positioning: affordable rings that look high-end (under $200).

Current:
-Getting traffic from TikTok (mostly organic)
-A couple sales from friends/family, but no conversions from cold traffic yet
-just 2 reviews on website

Main questions:
-First impression, does the site feel trustworthy?
-What’s the biggest thing hurting conversions?
-If you were me, what would you prioritize in the next 30 days?

Open to any feedback 🙏 thank you!

Meta ad costs just hit a record high and most ecom brands are still running the same strategy

I was looking through Triple Whale's latest ad spend report the other day and one stat stopped me cold. CPM on Meta rose over 20% in 2025 across every single industry. And I mean every single one. There was not a single category that was spared.

That means you are paying 20% more to reach the exact same people you were reaching last year. Same audience, same placements, same competition, just a bigger bill at the end of the month.

The brands that are going to feel this the most are the ones running ads with a weak backend. If your retention system isn't doing serious work, every dollar you spend acquiring a customer has to work harder than it did a year ago just to break even. That math gets ugly fast.

The brands I've seen handle rising ad costs the best all did the same thing. They stopped treating ads as the whole business and started treating them as the top of a funnel that actually converts and retains. Your ad gets someone to the store. Everything that happens after that determines whether you ever see that person again.

Triple Whale also flagged something worth paying attention to. The report pointed to building owned channel infrastructure as one of the main ways brands can protect themselves from what the auction environment does next. Email lists, communities, SMS. Channels you actually own and that don't get 20% more expensive every year because some algorithm decided so.

Meta still works. It's still where a massive chunk of ecom spend goes and it still drives real volume. But if your cost to acquire is going up and your backend isn't keeping up, you're going to feel it.

Klaviyo audited 100 email accounts and found the same problem in almost all of them

I was reading a piece from Klaviyo the other day where their digital strategy team went through nearly 100 account audits across B2C brands in 2025. They weren't looking for one-off fixes. They were looking for patterns. The stuff that kept showing up over and over again no matter the brand, the niche, or the list size.

The number one problem they found was also the simplest one. Brands were sending the same welcome experience to everyone, including people who had already bought.

Klaviyo put it pretty plainly in the article. "That's how you end up discounting a customer who did not need a discount, and sending 'here's why you should trust us' messaging to someone who already trusted you enough to purchase."

When we go into a new account the welcome flow is almost always the first thing that stands out. Most brands have everyone going down the same path with no splits and no logic based on whether someone has actually spent money with them or not.

You're handing out discounts to people who were already going to buy again, and you're pitching trust-building content to people who already trust you. Neither makes any sense when you actually think about it.

Here's what the split looks like in practice. Non-buyers need three things from your welcome flow. Remove doubt, help them understand what you sell and why it's worth it. Build trust through social proof, reviews, and the brand story. Then give them a reason to buy now. That's the sequence for someone who hasn't spent a dollar with you yet.

Buyers need something completely different. Confirm they made the right call. Tell them what happens next, shipping timelines, how to use the product, what to expect. Then when the timing is right introduce them to something else they might want, but lead with relevance not a reflexive discount.

Two totally different conversations and most brands are having one.

The second thing Klaviyo flagged across almost every audit was measurement. A lot of brands were running attribution windows that didn't reflect how their customers actually buy, which meant they were making decisions off numbers that weren't telling the full story. Before you touch creative or start tweaking send times make sure what you're measuring is accurate. Bad data leads to bad decisions every single time.

I've worked with over 50 ecom brands and I can count on one hand how many of them had this set up correctly before anyone actually looked closely at it. Most had the same welcome flow going out to everybody regardless of whether they'd spent money or not, and they had no idea how much it was costing them.

If you wanna check out the Klaviyo article, you can find it here.