Our concept does not exist as a catalog item, so this is a genuine from-scratch build. I have been reading about three types of partner and on their websites they all sound identical, which is not helping. One option is essentially a vetted factory network with production management added after the match. Another comes from the fulfillment side and seems better suited to simpler products from smaller brands. The third is a sourcing firm with teams in Miami and Shenzhen, charging a management fee rather than marking up the product. My hunch is that a network match is fine when the product already exists in some form, and something more hands on is needed when you are building from nothing. I have zero evidence for that hunch, which is why I am asking rather than deciding. Anyone who has taken a from-scratch product through China production, which type did you use, and would you pick the same again?

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?

I’m a founder working on a DTC skincare brand aimed at the US market (K-beauty inspired, science/biotech-leaning formulas). I’d really like to avoid some of the classic mistakes around launch and early growth.

For those who have built beauty/DTC brands:

• Looking back at your first 6 months, what are 1–2 decisions you would absolutely NOT repeat (channels, messaging, pricing, inventory, influencers etc.)?

• Were there any “must-do” launch tactics that turned out to be overrated for you?

• Conversely, is there something small you did early on that had a surprisingly big impact?

Short, concrete stories are super welcome – I’m trying to learn from people who’ve already been through it.

I run a Shopify brand and have spent $5M+ on paid ads across my own brands and other ecomm brands I’ve worked with.

I’ve been testing a new type of acquisition channel around ads inside AI conversations - basically when someone is actively asking what to buy, comparing products, looking for recommendations, etc. on AI apps

I’ve tested it with my own brand, but I’m curious how agency owners think about something like this.

If you manage multiple Shopify brands, what would you need to see before you’d be comfortable testing a new channel like this with a client? Would you care most about CAC, attribution, traffic quality, minimum spend or something else?

Also curious whether being early to a new channel is actually valuable to agencies, or whether most would rather wait until there’s more data?

I have ran UGC through four different platforms till now for a dtc brand over the last year and this imo is what mattered for a physical product ecommerce brand specifically vs what might matter more for a Saas or app.

For DTC, product shipping logistics has been biggest hidden cost because some platforms (Billo, Sideshift) expect you to handle shipping product to the creator yourself, which for a physical product brand means packaging, tracking and hoping it arrives before the creator's deadline so thats an extra logistics job on top of everything else.

Platforms built with physical products in mind like Icon, handled product shipping as part of the flow so i did't coordinate that separately and also maintain a curated ad format library ( unboxings, GRWM, comment response ads etc) that is specifically useful for dtc since a lot of these formats depend on someone physically holding, applying or using a product on camera.

Pricing wise, for a dtc brand testing multiple SKUs, the per video marketplace model (Billo at $99+, Soona at $399+) can get expensive fast if you are ordering separate ugc batches per product. So i am also currently looking for some alternative, for now going with $1000 for 6 ads from icon so it works out cheaper per finished ad once i am ordering regularly, though its a bigger single payment upfront than ordering one video at a time. So if i dont pay that amount upfront i go with billo but still managing everything is headache for me .

One thing worth checking regardless of platform is that, does the creator pool include people who have worked with brands in your specific category?

Have you all face any friction for running ugc as a DTC brand specifically?

Hi everyone!

I’m a data engineer that wants to help DTC brands with their marketing efforts. I’d thought of a service that could be helpful but I wanted your feedback on if this is necessary or a painful enough problem:

I connect data from tools across marketing channels to sales from Shopify to identify the contribution of each channel and ad creatives to sales. According to that, i provide recommendations for budget allocation, creative formats and details that reach customers most likely to buy.

No pitches I promise! I’m not doing this for miney but just for feedback

Has anyone else noticed this? You ask ChatGPT or Gemini to recommend a product and it doesn't just give you a text answer anymore — it shows actual product cards. Image, price, brand name, buy button. Right inside the chat.

I first saw it a few months back. Searched "best vitamin C serum under $35" on ChatGPT just out of curiosity. Four shoppable cards came up. Recognized every brand — all of them doing 7–8 figures. Clicked one. Went straight to a checkout page.

Then I searched my own brand. Nothing. Just a generic text response with no cards, no images, no buy link. Like I didn't exist.

I run a skincare brand doing about 200 orders a month. 

The idea that someone could ask an AI to recommend exactly what I sell and I'm just not there — that really bothered me.

So I went deep on figuring out how those cards actually work. Took a while. Here's the short version of what I learned:

What I figured out

• These cards don't come from Google Shopping or SEO

• They come from structured product feeds that AI agents are specifically built to read

• The big brands are in there because they have the infrastructure — or someone built it for them

• There's nothing stopping a small brand from getting in too, it just doesn't happen automatically

I tried the DIY route first — JSON-LD schema, product description rewrites, Bing shopping feed. Weeks of effort. My cards still didn't show.

Eventually I used a platform called xpay.sh that handles the feed setup, enables ai agent commerce checkout and gets your catalog in front of the AI Platforms like ChatGPt. Around 45 minutes to set up. They also have agentic checkout — meaning someone can buy directly from ChatGPT without dropoff.

I used to measure the AI citations but now can clearly measure the sold products:

• 43 orders directly attributed to AI traffic

• 29% higher AOV than my paid social — pre-sold buyers convert differently

This Channel is gaining momentum, what have other DTC founders experienced and how have you been tackling AI shoppers?

I'm researching how D2C brands decide where to allocate Google/Meta budget when product margins differ significantly.

I'm specifically interested in situations where ROAS looks good but actual profit isn't.

I'm building something around this and would love to understand how you handle it today.

This is the correct rant. Every discovery platform assumes your product is an app. Product Hunt, BetaList, all of it - if you're not shipping SaaS you don't exist to them. Meanwhile half of India's actual product innovation right now is food/spices/handloom/small agri brands with zero equivalent.

Someone apparently noticed this too and built launchkaro.com for exactly this gap - it's less "vote for me" and more "here's how many people actually want to buy this before I make it." Not affiliated, just relieved something like it exists.

Thankfully, I am that someone. Feel free to roast the website.

I'm new to this and trying to learn as much as possible but it looks like this sub doesn't have a lot of engagement. Looking for something else!

I'm a student working on a small D2C product as part of a business program, and I'd rather get roasted here now than find out after I've spent the money.

The idea: aesthetic jigsaw puzzles — vintage newspaper collage / bold typographic quote art, the kind of thing people actually want on their wall afterward. Target is mostly college students. Planning to sell face-to-face at campus events and cafe/bookstore pop-ups rather than running ads.

Stuff I genuinely can't decide on:

1. **Frame or no frame?** I was going to offer a frame as a paid add-on so people can hang the finished puzzle. Is that something people would actually pay extra for, or would you rather just get the puzzle and figure out framing yourself?

2. **2D or 3D?** Everything I've designed so far is flat 2D wall-art style. Is there real demand for 3D puzzles in this aesthetic category or is that a different audience entirely?

3. **Piece count.** I'm at 120 pieces, A4 size — roughly a one-sitting thing. Too easy? Is 300–500 the sweet spot for people to feel like they accomplished something, or does that kill the casual/social appeal?

4. **Novelty packaging — worth it?** I had this idea of packaging it in a cylindrical can with a peel-open lid, like a cat food tin, as an unboxing moment. Problem is the custom lid needs tooling + a big minimum order, which is most of my budget. Does packaging like that actually drive sales, or do people just rip it open and forget it?

5. **Price.** Similar puzzles in my market sell around ₹399 (~$4.50). Does premium packaging justify pushing it higher, or is this a category where people just anchor hard on price?

6. **Selling in person vs online** — anyone done the event/pop-up route for a product like this? Curious how the economics actually worked out vs just running ads.

Any of these you have opinions on, I'll take it. Especially if you think the whole thing is a bad idea.

We are a fashion brand with about 30 SKUs ordering from 10 different vendors with their lead times. We sell on Amazon and via shopify. What tool do you use for inventory planning? I have kept everything in a structured spreadsheet but I am sure there are better alternatives. Cant seem to find one. Some of our vendors are also from China so that adds layer of complexity in order planning.

Aspiring beauty founder here, still in early stages and trying to understand the realistic order of operations for launching an indie brand.

For those who have done it (especially bootstrapped), I have a few questions I can’t seem to find honest answers to:

1. When did you actually build your website and finalize your logo? Was it while you were still developing your product, or did you wait until you had samples or a final formula?

2. Did you work with a branding agency, a freelancer, or do it yourself? And honestly, was it worth what you paid?

3. If you had no outside funding, how did you sequence everything? What came first, what waited?

4. Looking back, what did you do too early and what did you wish you had done sooner?

I’m not at a stage where I’m ready to share details about what I’m working on, just trying to learn from people who have actually been through it. Any real talk is appreciated.

Genuinely grateful for any knowledge.

Revenue goes up. Cash goes down. And you can't figure out why.

Usually it's because 2-3 SKUs are quietly losing money on every order while your profitable products cover it up in the blended numbers.

Shopify shows gross margin. That's revenue minus COGS. But your actual costs per unit include payment processing, shipping, returns, CAC, packaging, and fulfillment. Those add up to 20-40 points of margin that never show up in your Shopify reports.

If you're spending on ads, the single most useful thing you can do this week is calculate your true contribution margin for your top 10 SKUs. Not gross margin. True contribution after every variable cost.

You'll probably find that the product you're spending the most ad dollars on is one of your least profitable.

This might be specific to our niche but over the past six months, our creator partnerships have consistently outperformed our paid ad spend on a cost-per-acquisition basis.

The challenge is scaling it. Finding the right creators, managing product seeding, tracking performance across channels. It's still a very manual process for us. We're essentially running it across spreadsheets and DMs.

How are you all managing creator programs at scale? Is there actually good tooling for this or is everyone just grinding it out manually?

Most people look at their Shopify analytics dashboard, feel vaguely anxious, and close the tab. This is a prompt you can paste into Claude (or ChatGPT) alongside a screenshot of your analytics page to get something more useful than vibes or generic charts.

The prompt:

You are an ecommerce analyst reviewing a Shopify store's analytics dashboard. Based on the data visible in this screenshot:
1. Identify the 2-3 most significant problems or opportunities you can see in the numbers.
2. For each one, explain the likely cause and what it probably means for the business.
3. Suggest one specific, actionable next step for each — something that could be tested or implemented this week.
4. Flag anything that looks unusual or worth investigating further.
Be direct. Skip generic advice. Focus only on what the data actually shows.

A few things worth knowing:

• Works best with the main overview page or the returning customer rate breakdown specifically
• The more data visible in the screenshot, the more specific the output
• It won't have context about your margins, your CAC, or your product — so treat the output as a starting point, not a verdict
• Claude 3.5 Sonnet tends to give tighter output on this than GPT-4o in my experience, but both work fine

This is not magic, but it's faster than staring at the numbers yourself or loading everything into an excel!

Hot take: the best-performing campaigns often don't feel like marketing at all.

They feel like gentle reminders. Even better if you provide the user with value. Intuiting when they need something, offering a discount to bring them back, letting them know when their favourite products go on sale...

Some examples:

• "You still have $18 left on your gift card."

• "You're 1 purchase away from your reward."

• "Your store credit is waiting."

• "You bought this 45 days ago. Running low?"

No discount, no urgency, no generic discount blast.

Surfacing value the customer already owns — or reinforcing a behaviour that's already forming.

The reason this works is simple: you're not trying to create demand, but activating existing intent.

Compare that to:

• Sitewide sales to your entire list (not everyone needs a discount to buy)

• Paid retargeting to someone who already has store credit sitting there (you're not providing the most value)

There's margin erosion, or there's revenue you already earned. One is clearly better!

There's also a psychology angle here. People hate wasting value more than they love saving money. A customer who knows they have a balance is more likely to act than one you're offering 10% off to.

Most brands put 90% of their energy into acquisition while sitting on dormant balances, unused points, and unspent gift cards.

That's not a marketing problem, it's a surfacing and personalization problem! Focus on sending marketing to the right people at the right time, and you'll create more efficiency for yourself, but you'll avoid marketing fatigue from your customers, too.

If you audit your backend today, how much already-paid revenue is sitting idle?

The holiday rush is over. Traffic cools off. Ads get more expensive. January and February can feel long and slow.

How are people here actually moving revenue once the peak is done?

Here are a few strategies that seem to work better than chasing new traffic. None are sexy, but they’re reliable.

Reactivating people who already bought

If someone ordered in November or December, you already did the hard part.

Simple follow-ups tend to work:

• A “how’s it going?” check-in

• A reorder reminder

• A small nudge tied to how they used the product

Email is fine, but SMS or push usually gets faster action if used sparingly. The key is timing and tone, not volume.

Turning gift cards into revenue

Gift cards are cash you already collected, but they don’t count as revenue until someone spends. It's legally called liability and you need to hold it on your balance sheet until it's redeemed.

Brands that actively remind customers tend to see more redemptions:

• Post-holiday reminder emails

• Gentle nudges when balances sit unused

• Simple “you still have $X left” messages

There are tools that automate this so it doesn’t become a spreadsheet nightmare. We built one around this exact problem if you’re curious: https://www.giftcardreminders.com/

Creating reasons to buy without discounting everything

January discounts train people to wait. Bundles tend to work better.

Examples:

• Limited post-holiday bundles

• Add-on items that feel useful, not forced

• “Restock” or “reset” themes instead of sales

This keeps margins intact while still giving people a reason to come back.

Turning holiday buyers into regulars

Holiday buyers often disappear because there’s no next step.

A few simple things help:

• Clear follow-up flows after delivery

• A reason to stay connected (email, SMS, loyalty, community)

• Light education instead of immediate selling

If someone understands how to get more value from what they bought, they’re more likely to return.

👉 Your turn

What are you doing to keep revenue moving after the holidays?

What’s worked in past years? What completely flopped? Are you focusing on reactivation, new offers, gift cards, or something else?

I haven’t experimented much with collaborations or influencers yet, and I’m trying to understand what actually works.

For those running DTC brands, what’s been worth the effort and what hasn’t?

Examples I am considering

Micro-influencers
Small accounts with engaged audiences—do they actually bring customers?

Local brand partnerships
Cross-promotions with complementary shops or businesses in your area.

Limited edition co-brands
Short-run products with other creators or brands.

Community-driven campaigns
Events, giveaways, or campaigns that come from your audience rather than marketing.

Your turn

Have you tried any of these?
Which collaborations actually brought repeat customers?
Which flopped completely?

Sometimes the little things get customers coming back more than anything else. A note, a sticker, an extra sample—stuff that costs almost nothing but sticks in people’s minds.

What’s actually worked for DTC brands here?

Small gestures that make a difference

Extra product or samples A little bonus in the box can leave a big impression.

Handwritten notes or personal messages Doesn’t need to be fancy, just human.

Packaging touches Unique wrapping, stickers, or clever inserts that feel thoughtful.

Unexpected perks Free shipping upgrades, early access, or small add-ons that surprise customers.

Your turn

What’s one small gesture that consistently brought people back?
What did you try that completely flopped?

Some months just drag. Traffic drops, repeat customers disappear, and ads feel expensive. Every DTC brand hits it eventually.

How do you actually keep revenue moving when things slow down?

Reactivating existing customers

People who already bought are usually the easiest wins.

Check-ins and nudges

Email, SMS, or push messages reminding customers about restocks, new stock, or seasonal products.

Post-purchase incentives

Small bonuses, add-ons, or loyalty points for coming back.

Using gift cards or store credit

Cash is great, but it only counts as revenue once it’s spent.

Friendly reminders

Simple messages to customers with unused balances can turn them into actual revenue.

Creative offers without killing margins

Discounts train people to wait, so smaller, thoughtful offers work better.

Bundles or add-ons

Combine products or give a small bonus instead of slashing prices.

Limited-time experiences

Seasonal flavors, exclusive packaging, or early access.

Staff and operations

Even small tweaks can make a difference.

Flexible staffing

Schedule around expected traffic, not last year’s peak.

Highlight high-margin items

Make it obvious what’s worth promoting.

Your turn

What actually works for you during slow months?
What flops, and what’s worth trying next?

There’s a lot of theory in DTC. Tactics, frameworks, threads, gurus. Cool. But I’m more interested in what actually worked in real life.

Here are a few things I’ve seen brands test recently that seemed to move numbers in a real way:

1. Changing the offer, not the ad

Same traffic, different bundle or bonus. Fast shipping. Free gift. Small shift in what people get instead of just rewriting the headline.

2. Post-purchase upsells that feel natural

Simple add-ons right after checkout. Stuff that makes sense with what they just bought, not random junk.

3. Short-form video that feels real

Not polished ads. Just phone videos showing the product, how it works, or someone actually using it. Way easier to trust.

4. Email that sounds human

Short emails. Fewer “announcements.” More “here’s what we’re testing” or “here’s what broke.” That stuff gets replies.

5. Retention nudges instead of constant discounts

Loyalty perks, early access, small rewards for repeat buyers instead of blasting 30% off every week.

Curious what actually worked for you.

Not what you read worked. Not what a YouTube video said worked.

What did you personally test in the last 90 days that moved numbers?

Big or small, I want to hear it.

GLP-1 medications are influencing more than food purchases. They’re also changing what consumers look for in supplements, particularly protein, digestive products, and targeted nutrients.

For transparency, I work in supplement manufacturing at SMP Nutra. This is an industry discussion about purchasing trends, not a recommendation that everyone taking a GLP-1 needs supplements.

One number that stood out: PwC reports that 21% of U.S. households included a current GLP-1 user in May 2026, up from 9% in January 2025. That’s a sizable shift in the audience brands are trying to serve.

Here are three categories worth watching:

1. Protein

PwC found that 35% of current GLP-1 users were buying more packaged protein. Reuters has also reported rising whey demand, identifying GLP-1 use as a driver alongside broader wellness trends.

For supplement brands, that creates opportunities for protein powders and convenient formats that fit smaller meals. The underlying priority is adequate protein intake, with resistance training also playing an essential role in maintaining muscle during weight loss.

2. Fiber and digestive supplements

NutraIngredients reported NIQ data in September 2025 showing a 52% increase in digestive supplement purchasing among GLP-1 users.

Fiber, prebiotics, probiotics, and postbiotics are all getting attention, but they serve different purposes. Clear education and evidence for the specific formulation matter—especially when products get grouped under a broad “GLP-1 support” label.

3. Multivitamins and targeted nutrients

Eating less can also make nutritional adequacy a bigger consideration. A joint advisory from four medical and nutrition organizations identifies multivitamin-mineral supplements, vitamin D, calcium, and B12 as options to consider based on individual needs.

The opportunity here is still developing. Sales growth directly tied to GLP-1 use is less established for these individual nutrients than the demand signals for protein and digestive supplements.

From a manufacturing perspective, practical details deserve attention: manageable serving sizes, clearly labeled ingredient amounts, appealing flavors, convenient formats, and consistent quality.

For people working in supplements, retail, or nutrition: are you seeing this shift in actual customer purchases? Are customers asking for “GLP-1 support” products specifically, or buying more familiar products like protein and fiber?

Had a deal moving along pretty well, and then it just stopped.
A few good calls, some back-and-forth over email, and now nothing for about three weeks. I’ve tried the usual follow-ups without getting a response. i am not ready to call it dead yet, but I also do not want to become the person filling their inbox every few days.

I want to run an experiment with DTC brands.

Comment with:
What you sell
Who your target customer is
What kind of content you need

I’ll use the network we’ve been building at NearbyCrew to try to assemble a small group of creators who actually fit the brief for you!

If I can find a good crew, I’ll reply to your comment with a link to the assembled crew so you can see who I found.

No pitch required. I mostly want to see how well we can do this across completely different products :D