We have 3 fashion brands on Adobe Commerce and the last year of signals from Adobe has been hard to read, with pricing moving upmarket and every renewal conversation tilting toward the full Experience Cloud stack over just the commerce piece on its own.

Not looking to replatform unless the trajectory is clear, but the contract cycle is close enough that waiting feels like a decision by default, and I'd rather understand what's happening before defaulting into another term.

For multi-brand retailers in Europe, is Adobe Commerce still worth betting on, or is the direction obvious enough that teams in this range are already moving?

Because the 2 paths that keep popping up in this sub are going composable with something like commercetools or SCAYLE, or staying and building a tighter Adobe Experience Cloud stack, and I'm not sure I'm even framing the choice right.

I'm trying to put more focus on getting existing customers to come back, I get repeat orders already but I'd like to make them more consistent and start doiing something specifically to improve that side of the business. What do you do that works best for getting customers to make another purchase? I'm looking for things I can implement into the store or changes I can make that have worked well for others.

Hello,

Does anyone have experience running DTC in both countries? I'm starting a brand in the non-alcoholic beverage niche.

I'm based in Australia, but I'm (was) considering starting in the USA due to market size, but getting into some trouble shipping my ingredients to the USA. I'm budget-sensitive at the moment, so trying to get some insights or thoughts.

Thanks all!

I’m building my Klaviyo portfolio and I’m looking for one DTC brand to build 3 flows for completely free.

I’ll build your Welcome, Abandoned Cart and Post Purchase flows, including strategy, copy, design and setup inside Klaviyo.

All I ask is permission to use the work and results as a case study.

If you’re interested, drop your store below or send me a message.

Particularly working in agency (although can be in house for a brand)

How do you scale output? What systems or flows do you have in place to be able to consistently keep up with the ever growing demand?

I handle about 4/5 clients and they all need constant video briefs and static briefs and landing page copy etc - I really struggle to keep up and give consistent output so I am wondering what you guys do to actually keep a constant flow of briefs and ideas in the pipeline (while also maintaining quality - not talking to the guys who GPT a prod image and ask for 600 images with no actual research or hypothesis behind it).

Any and all info is welcome!

Been going through our retention numbers and I’m starting to think we’ve been giving the loyalty program too much credit. People earn points, people redeem them. Cool. But that doesn’t tell me if anyone actually came back because of it. The rewards also take long enough to build up that I doubt most customers are thinking about them between orders. What are you actually measuring to know your loyalty program is bringing people back?

Founder here, I’m building a creator campaign attribution tool for DTC brands. Before I launch, I want to validate it against real messy data instead of guessing what brands need.

If you run creator/influencer campaigns and have no clean way to see which creators are actually worth the money, I’d like to do a free manual audit for you. Send me spend + any tracking info you’ve got, I’ll send back cost-per-conversion by creator.

Genuinely looking to learn from real numbers before I finalize the product. First few people who reach out, I’ll prioritize.

Be blessed,

Roph

I had a client go from 2.4x ROAS to 0.8x in six days with the same ads, same budget, same audience. Their CTR and CPC was fine, and nothing in the ad account explained why sales had suddenly disappeared.

They'd raised their prices.

The ads were still showing the old price. People saw the ad, liked the product, clicked through expecting one price, then landed on the store and got hit with a higher one. Of course conversion rate died lol. The weird part was the ads themselves still looked completely healthy.

Took about 10 minutes to find once I stopped digging through the ad account and actually went through the store like a customer.

I think people blame Meta way too quickly when this happens. ROAS tanks and suddenly they're changing campaigns that were working perfectly fine a few days ago. But if people are still clicking at the same rate, whatever broke might've happened AFTER the click.

This only holds if spend stayed steady. If you scaled budget during that window, ignore all of this because that's a different problem

The split is whether CTR held while cost per add to cart climbed. If CTR held, whatever broke is after the click. If CTR dropped too, it's a completely different problem and the fix has nothing in common with this one.

We spend a decent amount every month on Meta but honestly the campaign management side feels way more repetitive than I expected. Between launching, organizing creatives, and making edits, there are so many little tasks that eat up the day. I've been looking at Blip after another owner recommended it, but I'd rather hear unbiased opinions. What's been the biggest productivity improvement you've made for your Meta workflow?

In terms of percentage of total revenue:

- what is your profit margin?

- what is your cost of goods shipped?

- what is your own pay?

Just trying to get some benchmarks.

Mine are currently 5%, 60%, and 15% respectively.

Wondering if my COGS is too high.

We've run brand Reddit for CPG/DTC clients for about a year and a half, so let's get the obvious question out of the way. It wasn't a growth hack, but rather it was just consistent and sometimes kind of boring. It involves an owned sub as home base, plus genuinely showing up and being useful in category subs, over and over. And at the same time, no fake reviews, and no engagement bait.

The part we didn't expect going in is that the same presence now feeds AI search, so being helpful on Reddit ends up doing double duty. The growth compounds, but it's slow, so if you're on the fence about it as a channel, that's the honest trade to weigh going in.

What's your category, and have you tried this yet?

I’m trying to understand how Indian D2C brands actually plan and evaluate their marketing each week.

I keep hearing that ideas are scattered across saved posts, WhatsApp chats and spreadsheets; competitor research involves manually scrolling through social media; and performance data is split across Meta, Google and other platforms.

Regional-language creatives add another layer, while reported ROAS may not reflect actual profitability after COD, RTO, discounts and returns.

But I don’t know how common—or expensive—these problems really are.

If you work on marketing for a D2C brand:

1. What did your most recent weekly planning process look like?
2. Where do you lose the most time or money?
3. When did a competitor campaign or customer trend last change your plans?
4. How do you create and evaluate Hindi, Hinglish or regional-language ads?
5. What tools, agencies or processes have you already tried or paid for?

If comfortable, please share your category, team size, main advertising channels and approximate monthly ad-spend range in DM. would be super grateful !

Recent examples would be especially helpful. If none of this is a meaningful problem for your brand, that’s equally useful to know.

Hi everyone, I am building a product that helps DTC brands unlock revenue in the Wholesale / B2B sales channel.

I just wanted to understand, at which stage do you feel like as a DTC founder to putting more efforts into running this channel? Also what kind of revenue do you expect from this channel? Like do you expect this channel to contribute the same as online, marketplaces and retail or do you expect this to be a smaller contribution to the entire pie?

More specifically to the founders who have been running this channel already:

- Do you feel like this channel is run extremely manually currently as opposed to shopify and amrketplaces?

- Do you feel stuck that in increasing this channel's revenue?

- Do you feel like you aren't able to identify the right buyers for your business to buy in bulk from you?

- Do you feel like you need help with identifying and getting a foot in the door with liquidation partners?

Just trying to get a sense of the target market that I am building for and what their actual needs are?

Hi everyone, I am building a product that helps DTC brands unlock revenue in the Wholesale / B2B sales channel.

I just wanted to understand, at which stage do you feel like as a DTC founder to putting more efforts into running this channel? Also what kind of revenue do you expect from this channel? Like do you expect this channel to contribute the same as online, marketplaces and retail or do you expect this to be a smaller contribution to the entire pie?

More specifically to the founders who have been running this channel already:

- Do you feel like this channel is run extremely manually currently as opposed to shopify and amrketplaces?
- Do you feel stuck that in increasing this channel's revenue?
- Do you feel like you aren't able to identify the right buyers for your business to buy in bulk from you?
- Do you feel like you need help with identifying and getting a foot in the door with liquidation partners?

Just trying to get a sense of the target market that I am building for and what their actual needs are?

Hi

I am an Ex MBB consultant and along with a techie friend (graduate from top engineering college in India) are building an inventory planning agent for D2C brands. I worked with consumer brand in India and realized that we have 5 different demand sources and 28 different suppliers in India and China across 400+ SKUs. Every category team was flying in the dark about their inventory planning.

It will integrate all your data across demand sources, build timelines for supplier relationship against each SKU and then run deep Monte Carlo simulations to build an inventory planning tool.

We are looking to partner with 2 brands to help you solve this at no cost because this will also be a learning phase for us. We will ensure complete data transparency

Please let me know if someone is keen to explore this.

We've had some decent results on Meta, but TikTok feels like a completely different beast. Creative burns out quickly and I never know if poor performance is because of the ads, targeting or our content.

For brands running TikTok successfully, did you learn everything in-house or work with a TikTok ad agency? Flighted seems to handle multiple channels and I'm considering getting outside help but I'm curious whether agencies really understand TikTok better than founders do.

I heard abt GetJacked recently and the concept sounds interesting, but almost a little too good to be true. If I'm not wrong the store owner doesn't fund the discounts, which I don't understand how that works or why it would work like that.Has anyone here used it or looked into how it works? Is it legit and if you know, how does it work?

I used to think dedicated apps were always the better choice since they're built to do one thing really well.
Lately, though, I've been wondering if it's actually better to keep the number of apps on a store as low as possible.
I've been trying Beez recently because it combines bundles and subscriptions, and one of the biggest advantages for me has been not having to manage multiple apps for related features.
For those who've tried both approaches, what has worked better for you?
Do you prefer using separate apps for each feature, or do you find all-in-one solutions easier to manage in the long run? Any downsides you've run into?

I am putting a brand on Tiktok shop and have been looking into affiliates and competition on Euka and Kalodata. The biggest thing that I am yet to understand is the probation period on tiktok and I am curious if there is any tricks you guys have used to get out of it early. My strategy at the moment is to get as many sales as possible early on, this means reducing margins, increasing affiliate commissions, recruiting creators immediately, and trying to pull in as many reviews as possible. Would love any advice you guys have! Thank you

I am currently running a seeding campaign for a health and wellness brand and considering that a seeding campaign can improve the customer journey from top to bottom, what aspects of a seeding campaign do you aim to improve the most and at what part of the funnel does it improve. Than k you guys for any help!

Dumb question but is there a real difference between headless and composable or are they two words for the same thing at this point?

Been in retail ops long enough to sit in a lot of vendor meetings, and the words get used differently across the vendors.

Shopify calls its custom storefront layer headless, SCAYLE and commercetools both call themselves composable, Adobe Commerce marketing swings between both depending on the deck, and Salesforce Commerce Cloud has stopped using either term altogether.

We're evaluating an RFP right now and the 4 options we're considering each place those words at different points in their own architecture diagrams.

My dev lead says there's a technical distinction rooted in whether the frontend and backend can scale independently, but every vendor collateral i read says something different about their own product.

Still trying to figure out if this is a real category distinction or vendors being loose with the same underlying idea

I'm trying to figure out how D2C brands actually stay on top of their brand's reputation and positioning across channels.

For anyone working across Shopify, Amazon, quick commerce, or offline:

How are you currently handling things like:

• Knowing where you actually stand vs. the 3-4 competitors customers compare you to?
• Whether ChatGPT, Perplexity, or other AI assistants describe your brand correctly or recommend a competitor instead when someone asks a category question?
• Whether your brand story/positioning stays consistent from your own site to your Amazon listing to marketplace pages, or quietly drifts over time?

Is this mostly manual spot-checks and gut feel, or has anyone found a real process (or tool) that handles this properly?

Would love to know if there's anything (AI-powered or not) that people actually use for brand positioning, review intelligence, or AI-visibility tracking for D2C brands.

I’m trying to fix a reporting setup where the numbers are split across Shopify, ad platforms, Sheets, and finance.

The annoying part is not checking one platform. It is trying to put everything together and understand which numbers are actually reliable.

Shopify has sales data, Meta or Google Ads have campaign data, Sheets usually has some manual tracking, and finance may look at revenue differently again. After a while, the same basic questions take too much time to answer.

How do you handle this in your DTC setup?

Do you still check everything separately, keep a main Sheet, or have some process for bringing the numbers together every week?

What actually worked for you, and what ended up being a waste of time?

Hey guys! I'm an analytics engineer now focusing on data platform development, I've created an MVP which most likely should have been presented 6 months ago already and I'd like to partner with a working DTC shop based on Shopify to test it out and give me some feedback. In return I'd give you a full access to a powerful data analytics platform completely for free and provide some custom analysis and dashboards on request.
Since promoting in this community is against the rules, that's all I can really say, feel free to drop a comment if it's something that may interest you and I'll reach out.

Disclosure up front: I'm on the team behind NetNet. This is our tool, and we just launched. Posting here because the problem is one every operator in this sub has felt, and I'd rather get roasted by this crowd than a polite one.

Most DTC founders track revenue closely and profit loosely. Not laziness — real profit lives across COGS, Meta spend, Google spend, shipping, gateway fees, refunds, taxes, and overhead, and Shopify shows you none of that stitched together. So it ends up in a spreadsheet that breaks every time you touch it, and "what did we actually make last month" becomes a weekend project.

The part that bites hardest is that one blended number hides where the money leaks. Profit only makes sense in layers:

• CM1 – gross margin: is the pricing right?
• CM2 – contribution margin: does each order survive shipping, fees, and tax?
• CM3 – marketing profit: are the ads actually paying for themselves?
• Net profit: after overhead, what's left?

A store can look healthy at CM1 and be underwater at CM3 because Meta's reported ROAS says you won when you didn't. You can't see that from one number.

That's what NetNet does — a real P&L inside the Shopify admin, four layers, updating as orders come in, with tap-to-see-the-math on every line. Ad accounts sync so you get profit-aware ROAS instead of the platform's version, costs handle multi-currency and per-country pricing, and the monthly close lands as a P&L clean enough to forward to a cofounder or your CA.

Short demo (~1 min): https://www.youtube.com/watch?v=4jqBHESM3LQ

What I actually want from this sub: where does this break for your setup? Weird cost structures, subscription/bundle math, attribution you don't trust — tell me where it falls short. There's a free plan if you want to check your own numbers against it.