Case studies

Proof, not promises.

Anyone in marketing can promise results. The right question is what actually changed for a brand like yours, at your stage, once it built its own channel. And which numbers prove it.

Straight talk: ScaleCommerce is a young partner. The cases below are industry templates with illustrative numbers, not completed client results. As soon as a real client lets us publish, we will replace them with real names, data, and outcomes. We would rather leave it blank than make it up.
Cosmetics
From thousands of orders to customers you can sell to again
Draft · illustrative numbers
Context
A Vietnamese cosmetics brand selling mostly on Shopee and TikTok Shop. A few thousand orders a month, but margins keep thinning as marketplace fees (commission, payment, and service fees) and ad costs rise together.
Problem
Thousands of customers a month, and no customer list of its own. Every launch means buying attention again with ads. Existing customers, the easiest group to sell to again, go almost untouched.
Solution (modules used)
Brand website as the brand's own home base; Customer CRM collects the data, segments by skin type and purchase history, and runs repeat-purchase flows over email and Zalo, Vietnam's most-used messaging app; Analytics measures customer lifetime value (LTV) and acquisition cost.
12% → 25%
returning customers
~30%
revenue from owned channels (after 6 months)
4-5x
cheaper to sell to existing customers
The figures above are illustrative examples, not verified results.
Fashion
No more overselling, no more order mix-ups across channels
Draft · illustrative numbers
Context
A fashion store selling on Shopee, TikTok Shop, and one physical store at the same time. Many SKUs, and the lineup changes every season.
Problem
One screen per channel, and inventory never matches. A hot item sells on livestream right after it runs out, which means overselling, cancellations, and a lower storefront rating. The operations team loses hours every day copying orders and reconciling stock.
Solution (modules used)
Marketplace sync pulls orders from every channel and the POS into one place, with real-time inventory across online and offline; Automation confirms orders and flags low stock automatically; Brand website to launch new collections on the store's own terms.
-80%
cancellations from overselling
hours → under 1 hour
order processing time per day
Restored
storefront rating
The figures above are illustrative examples, not verified results.
Home goods / F&B
See which channel actually makes money
Draft · illustrative numbers
Context
A home goods brand (the same model applies to packaged F&B) selling across channels. Revenue grows steadily, but the cash left at month end does not keep pace.
Problem
Every marketplace and every ad platform reports a different number. After marketplace fees, shipping, ad spend, and cost of goods, nobody knows which channel makes money and which quietly loses it. Budget gets spread thin on gut feel.
Solution (modules used)
Analytics merges every channel into one dashboard and breaks out real profit per order and per channel; Customer CRM to keep high-value customers and sell to them again; Brand website as the channel with the best margin.
Found a channel that looked good but ran at a loss
cut it and moved the budget to channels with real profit
+15%
real profit per order (same revenue)
The figures above are illustrative examples, not verified results.

How we build a case study

We do not use client numbers casually. A real case goes live only after four steps.
Step 1
Set the baseline first
Record the starting point (revenue, returning-customer rate, customer acquisition cost, cancellation rate) so there is something to compare against later.
Step 2
Measure with system data
Results come straight from the client's own Analytics and CRM, not from estimates.
Step 3
Get written permission
Before publishing, we ask for permission to use the brand name and the numbers. The client can ask to stay anonymous.
Step 4
Client approves the final draft
The client reads and signs off on the case before it goes live.

Frequently asked questions

Why are these cases not real numbers yet?
Because ScaleCommerce is honest about how young it is. We keep the templates with illustrative numbers instead of inventing results, and we will swap in real cases as soon as a client lets us publish.
Will my results look like these illustrative numbers?
Not necessarily. Every industry, stage, and way of operating produces different results. The honest way is to measure on your own numbers.
How do I estimate the potential for my own store?
Start with the free business assessment: enter your revenue and the channels you sell on, and the system estimates your marketplace fees and the profit you are leaking.

What would a roadmap like the ones above look like for your store?