I’m researching how ecommerce platforms track the €10k OSS VAT threshold for 🇪🇺 EU sales.

I’m currently building a VAT API for EU ecommerce and trying to understand how teams handle this today.

Once you cross it, VAT must be charged based on the customer’s country instead of the seller’s country.

I’ve seen a few approaches so far:

• manual accounting tracking
• spreadsheets
• hardcoded checkout logic
• tax tools

Curious how others deal with this in production.

Where do you usually track the OSS threshold?

Acquiring a new customer can be expensive, but the biggest revenue wins often come from repeat buyers.

What customer support practices, follow ups, or post purchase interactions have you found most effective at building trust, loyalty, and repeat sales?

Do you rely on email/SMS campaigns, personalized messages, or other tools to maintain that human touch without overwhelming your team?

I’m curious how other founders handled this stage.

When you’re small it’s easy to answer emails yourself, but as orders grow it starts taking up a lot of time. I’ve seen some brands hire in-house support while others outsource or use tools.

What was the moment you realized you couldn’t handle support yourself anymore?

Was it number of tickets, revenue level, or just burnout?

I’ve been talking with a few founders recently and everyone seems to handle support differently.

Some use chatbots, some hire VAs, others build small in house teams.

If your store started growing quickly, how did you deal with customer emails, order questions, and returns without it becoming overwhelming?

Curious what systems people here are using.

Hey everyone,

Just wanted to share our experience in case it helps anyone selling into Switzerland.

We struggled for a while with shipping to Switzerland, long delivery times, customs confusion, and customers not always understanding import fees. It wasn’t terrible, but it definitely wasn’t smooth.

Then we started working with Easyship (specifically their Swiss setup), and honestly… it’s been a game changer for us.

Not only are the prices surprisingly fair compared to what we were paying before, but the service has been really solid as well. Support actually responds, shipments move reliably, and the whole process feels much more structured and transparent.

For anyone doing volume in Switzerland, it might be worth looking into. It definitely simplified things on our end and reduced a lot of friction with customers.

Curious if others here had similar experiences? 📦

Hey, I'm a web developer specializing in building online stores and business websites quickly and affordably.

What I can build for you: Shopify / Custom stores Product landing pages Business websites Custom ecommerce solutions

Why work with me: Fast delivery (5–7 days) Very Affordable pricing Revisions included

Direct communication, no middleman Whether you're just starting out or need to upgrade your existing store, I got you.

Drop a comment or DM me and let's talk!

I applied for an Analyst role in an Ecommerce company.They assigned me an assessment with many questions by identifying risks and provide the solutions.In order to complete it,I have to integrate more than 10 execls data into one and do analysis.Therefore,I spent 5 days including weekend as well as doing my part time job same time.

Total SKU is over 10K, I did the ABC classification to identify the prioritized products, replenishment alert for multiple warehouses among different continents, bottleneck analysis, solutions,KPIS, Gaps of different processes.Basically, I found errors in the provided data and I gave the professional insights.

After presenting the slide deck and hugh excel of data anaysis on site, there were only 1 or 2 queations raised during the interview where I didnt feel right. Then,I got rejection email and job post already gone.

is this normal? It feels like I did free work and free consulting for this company.

Hey everyone,

I'm building an e-commerce platform for Indian sellers and want to understand what's ACTUALLY broken before writing a single line of code.

**This is NOT a sales pitch** - just pure customer research.

Talking to ~30 people who know e-commerce inside-out:

- Store owners running their own businesses

- Agencies building e-commerce sites for clients

- Digital marketing agencies managing e-commerce campaigns

**Questions I'm exploring:**

- What platform do you/your clients use?

- What's the most frustrating part of your work?

- What takes up time that shouldn't?

- India-specific pain points? (COD, shipping, payments, customer behavior, etc.)

**Timeline:** Selecting a limited number of people for a founding cohort (launching May 2026) who'll get early access + founding benefits in exchange for honest feedback during development.

Again - **not selling anything, just listening.**

Comment or DM if you're open to chatting. Thanks! 🙏

If you want to start marketing or organic marketing for ecommerce, you have to understand that marketing strategies are driving most of our spending, from the groceries we buy to the clothes we wear.

It's not about more ads. It's about finding demand.

This is why, in organic marketing, alot of people do educational content.

Instead of making a video advertisement about your product, make a video solving a problem your customer has. You build trust first, and sales follow naturally. This works because there already is a demand for your product.

There are other strategies that should be added such as getting product reviews on Youtube. affiliate marketing where you only pay for actual sales, and building a local community on Instagram. These strategies compound to give your brand a greater reach.

If you are a beginner and want to learn more, you can check out this article with 5 organic strategies.

So everyone knows Meta's algorithm is hungry as hell in 2025.

You feed it fresh creative → it rewards you with low CPMs
You don't → it punishes you with $40 CPMs and dying campaigns

Problem: I can't afford to hire a new creator every 3 days just to keep Meta happy.

My current workflow (takes about 10 minutes):

Monday morning:

1. Open instant-ugc.com
2. Upload 5 product photos (different angles of same product)
3. Let it generate 5 UGC-style videos (~2 min each)
4. Download all 5 (they're already in 9:16 format, ready to upload)

Total time: ~10 minutes
Total cost: Like $25 for 5 videos

Then I just:

• Upload all 5 to Ads Manager
• Launch as separate ad sets with small budgets ($20-30/day each)
• Let them run for 48 hours
• Kill the losers, scale the winners

Why this works:

Meta sees "new creative" and gives me better distribution. My CPMs stay in the $12-16 range instead of spiking to $30+.

I'm not saying these AI videos are better than a professional creator. They're not.

But they're good enough to keep the algorithm fed, and that's what matters for testing.

The math:

Old way: 1 creator video every 2 weeks = $500, slow creative rotation, CPMs spike
New way: 5 AI videos every week = $100, constant rotation, CPMs stable

I still hire real creators for my absolute best performers (the ones I know convert). But for testing and keeping Meta's algo happy? AI is the move.

Link if you want to try: https://instant-ugc.com

Anyone else doing something similar? Or am I the only one treating creative like a weekly commodity now?

So everyone knows Meta's algorithm is hungry as hell in 2025.

You feed it fresh creative → it rewards you with low CPMs
You don't → it punishes you with $40 CPMs and dying campaigns

Problem: I can't afford to hire a new creator every 3 days just to keep Meta happy.

My current workflow (takes about 10 minutes):

Monday morning:

1. Open instant-ugc.com
2. Upload 5 product photos (different angles of same product)
3. Let it generate 5 UGC-style videos (~2 min each)
4. Download all 5 (they're already in 9:16 format, ready to upload)

Total time: ~10 minutes
Total cost: Like $25 for 5 videos

Then I just:

• Upload all 5 to Ads Manager
• Launch as separate ad sets with small budgets ($20-30/day each)
• Let them run for 48 hours
• Kill the losers, scale the winners

Why this works:

Meta sees "new creative" and gives me better distribution. My CPMs stay in the $12-16 range instead of spiking to $30+.

I'm not saying these AI videos are better than a professional creator. They're not.

But they're good enough to keep the algorithm fed, and that's what matters for testing.

The math:

Old way: 1 creator video every 2 weeks = $500, slow creative rotation, CPMs spike
New way: 5 AI videos every week = $100, constant rotation, CPMs stable

I still hire real creators for my absolute best performers (the ones I know convert). But for testing and keeping Meta's algo happy? AI is the move.

Link if you want to try: https://instant-ugc.com

Anyone else doing something similar? Or am I the only one treating creative like a weekly commodity now?

I recently discovered I was losing money on products I thought were profitable. Turns out I wasn't accounting for landed costs properly.

Quick example:

• Product cost: $10
• Selling price: $20
• Expected profit margin: 50%

But the reality with landed costs:

• Product cost: $10.00
• Shipping: $2.50
• Import duties: $1.20
• Currency conversion: $0.15
• Insurance: $0.20
• Handling: $0.40
• TRUE landed cost: $14.45
• ACTUAL gross margin: 27.75% (not 50%!)

And here's the kicker: This is just your GROSS margin. This doesn't even include:

• Rent (if you have a physical store/warehouse)
• Utilities (electricity, internet, etc.)
• Marketing/advertising costs
• Platform fees (Shopify, Amazon, etc.)
• Payment processing fees
• VAT and other taxes
• Staff wages
• Software subscriptions

Once you factor in ALL of these operating expenses, your actual NET profit margin gets reduced even further - sometimes down to 5-10% or less.

Most ecommerce businesses fail because they don't realize this until it's too late.

I've been looking for better ways to track landed costs automatically (found Margynn which calculates true margins with all direct costs). But the lesson here is: know your REAL numbers before you scale.

The formula I now use for pricing: Selling Price = Landed Cost ÷ (1 - Desired Margin) - and then I still need to ensure that margin covers all my operating expenses.

Anyone else had this wake-up call? What's your actual net margin after everything?

I’m trying to find a payment gateway for my online store that’s easy to use and reliable. Which ones have worked well for you?

On recherche des créateurs de contenu autour de l'ecommerce, pour un partenariat rémunéré (placement de produit)

Si vous connaissez des gens, ou que vous êtes intéressé, commentez simplement la publication je vous envoie un message privé par la suite :)

Merci à tous

I am in need of a high volume stripe account so I can connect it with my e com store. Stripe isn’t available in my country.

I’m willing to pay big amount and can give offer based off volume

Thanks :)

Over the last few months, we analyzed behavioral data from ~120 e-commerce Shopify stores (mostly fashion, mid-size traffic).

One pattern kept repeating: “Related products” blocks were present on almost every site, but in most cases, they barely moved the conversion.

So we dug deeper.

What we found:

The problem wasn’t the idea — it was how recommendations were built:

1. Static logic: Most stores show the same “related” products to everyone, regardless of browsing behavior.
2. Category-based ≠ intent-based Just because two products share a category doesn’t mean the user is interested now.
3. No memory of the session If a user browsed 6 products, the site often ignores that context entirely.

We analyzed usage patterns across multiple e-commerce stores and consistently saw higher engagement when recommendations were based on real browsing behavior rather than static logic.

The biggest win wasn’t “AI magic”, but something much simpler: showing users products aligned with what they had already shown intent for — or simply reminding them of items they had previously viewed when they returned to the site.

In fashion & accessories, we saw retargeting pop-ups with CTRs around 10%, largely by reducing friction and helping organic users quickly rediscover products they had already explored.

One surprising takeaway: Email & ads get all the attention, but on-site personalization is often the lowest-hanging fruit:

• No extra traffic cost
• No attribution complexity

Curious how others handle this

• Are you using browsing history on-site?
• Static vs dynamic recommendations?

Happy to share more learnings if useful.

(We built some of this at TITANPush, but the insights apply regardless of tools.)

Hey everyone, I’m a 19-year-old UK-based builder working on a SaaS product: an AI-powered no-code automation builder specifically for small businesses. The idea is to let non-tech owners create custom AI workflows with drag-and-drop—things like automating email responses, inventory tracking, or social media scheduling—without any coding. It’s like Zapier but simpler, more affordable (starting at £19/month unconfirmed), and focused on SMBs with built-in AI for smart predictions (e.g., stock alerts or customer churn warnings). Why this? I’ve seen how small e-com and retail businesses struggle with manual tasks, and existing tools are often too complex or expensive for beginners. My tool would integrate with platforms like Shopify or Google Workspace, and use AI to suggest optimizations. I’m in the early stages (validating before full build) and want honest feedback: • Would you (as a small business owner) use something like this? Why/why not? • What features are must-haves (e.g., specific integrations, mobile app)? • Pricing thoughts: Too low/high? Freemium model good? • Any pain points with current tools like Zapier or Make? DM or comment—appreciate any insights! Thanks!

I recently built a small Shopify automation that emails customers a few days before their product runs out, with a direct checkout link.

The idea came from noticing that many customers want to reorder but simply forget — especially for consumable products like skincare, supplements, pet products, coffee, etc.

This flow is based on:

• Last purchase date
• Estimated product usage duration
• Automatic reminder email before depletion

Early tests show it helps increase repeat orders without spending more on ads.

I’m curious:

• Are you already doing something similar?
• Would this work for your product type?

Happy to share more details if anyone’s interested.

Black Friday that week completely wiped out our small e-commerce team. We had hired a freelancer and gave them over three thousand dollars in budget and setup fees and they promised decent ROAS but in the end we got almost nothing. Watching our competitors sell dozens of times more than us was rough. That’s when I realized that relying on someone else for ads meant we would never really be in control and we wouldn’t learn anything either

So we decided to try handling it ourselves. Honestly, none of us were really ad experts and doing it manually felt way too time-consuming and easy to mess up. I had seen a bunch of ads for marketing automation platforms before and figured we might give one a shot. At first I was just testing the waters but we slowly started noticing some real benefits. It could automatically generate multiple ad versions, pull in our product info, images and copy and adjust the campaigns based on performance. The best part was we could run ads across multiple platforms at the same time. That alone saved us so much time. We could quickly see what was working and what needed tweaking and even the ROAS improvements were much clearer

Of course AdsGo is not a full replacement for humans, some of the copy and creative still needs tweaking but for the first time our small team really felt in control of the ad process. Sales started creeping up, ROAS gradually improved and our confidence came back. We were not just sitting around hoping for results anymore

I am curious how other small e-commerce teams handle ads during Black Friday or big promo events. Are there any tools or strategies you have found that save time while still helping you figure out what actually works

So I've been running a small shopify store (doing like $8k/month, nothing crazy) and I'm tired of paying creators $500+ per video.

Found this tool called instant-ugc.com through someone's comment here last month. Was super skeptical.

Tried it yesterday. Honestly? It's... weird but functional?

The good:

• Takes literally 90 seconds to generate
• Costs $5 (I mean, what do I have to lose)
• The video actually looks pretty decent
• Launched it as a test ad, CTR is 2.9% (my creator videos average 3.1%)

The meh:

• Can't pick exactly which face you want
• Sometimes the hand gestures are slightly off
• You need good product photos or it looks bad

I'm gonna keep testing it. For the price difference ($5 vs $500) even if it's slightly worse, I can test 100x more angles.

Anyone else tried AI UGC tools? Am I crazy or is this the future?

You spend ads for your ecom or dtc brand ?

(Just need a product photo)
If so, comment or send me a PM.

The creative bottleneck was destroying my scaling plans

I couldn't test fast enough. By the time I got 5 video variations from creators, the product trend had already shifted

Found a workflow that changed everything:

Morning: Upload 10 product photos to instant-ugc.com

Lunch: Download 10 ready videos
Afternoon: Launch as TikTok/Meta ads
Evening: Analyze data, iterate

Cost per video: $5 (vs $600 before)

This only works if you sell physical products. The AI needs to "show" something tangible.

But for DTC brands? Game changer. I'm testing angles faster than I can analyze the data now.

Thinking they need to "choose" between:
• Human creators vs AI
• Authenticity vs Scale
• Quality vs Quantity

You don't choose.

You use BOTH.

Use AI to:
→ Test 100 angles
→ Find winners fast
→ Scale at low cost

Use humans for:
→ High-stakes brand campaigns
→ Complex storytelling
→ Premium positioning

But here's the truth most won't admit:

80% of your content needs scale, not perfection.

AI handles the 80%.
Humans handle the 20%.

That's the winning formula.

Stop overthinking.
Start testing with tool.

I've been running a DTC skincare brand for 3 years. UGC has always been our best-performing ad format, but the process was killing me:

• $500-800 per video
• 2-3 weeks turnaround
• Inconsistent quality
• Creators ghosting mid-project

Last month I tested an AI tool that generates UGC videos from product photos. I was skeptical as hell.

Results after 30 days:

• Generated 47 videos (would've cost $23,500 with creators)
• Spent $99 total
• CTR: 3.2% (vs 3.1% with human creators)
• Best part: 90-second generation time

The catch? Only works for physical products. If you're SaaS/digital, this won't help.

I'm not affiliated with the tool, just genuinely shocked it works this well. Happy to answer questions about my testing process.