DTC Analytics for Apparel and Fashion Brands
See which styles, sizes and channels make money after returns, without rebuilding the sheet every Monday. We load Shopify, returns, ads and inventory into one place every morning.
The short answer
What Makes Reporting Hard
- Gross sales look strong, but returns and exchanges arrive weeks later and nobody ties them back to the order.
- Every style comes in many sizes and colors, so the inventory sheet is too big to read.
- Markdowns and discount codes blur which products sell at full price.
- Each ad platform claims the same orders, so spend by channel never adds up.
Reports We Build
- Margin After Returns
- Contribution margin by order, product and channel, with refunds and exchanges tied back to the original order and labeled by return reason.
- Size and Color Sell-Through
- Units sold against units received for each style, size and color, so buyers see which variants to reorder and which to mark down.
- Full-Price vs Markdown Sales
- Sales split by full price, sale price and discount code, so a strong week from a promotion is not mistaken for demand.
- Ad Spend by Channel
- Spend, new customers and margin by channel side by side, with each order counted once across platforms.
~80%
fewer data errors for a DTC apparel brand after we rebuilt its reporting path
Read the case study
Data We Connect
- Shopify
- Returns platform
- Klaviyo
- Meta Ads
- Google Ads
- Inventory and purchase orders
- Snowflake
Common questions
How should an apparel brand measure profit after returns?
Tie every refund and exchange back to its original order, then report contribution margin by the order date. Shopify's own reports subtract refunds on the date they are processed, which moves them into a different month.
What is sell-through rate for clothing?
Units sold divided by units received for a style, size or color over a period. Looking at it by size and color shows which variants to reorder long before the style as a whole sells out.
Which data does an apparel brand need in one place?
Orders and refunds from Shopify, return reasons from the returns platform, ad spend from each channel, and inventory with purchase orders. Product cost is the piece most often missing.
Do we need a data warehouse or is Shopify enough?
Shopify reports are enough for a single store with few channels. A warehouse earns its keep when returns, several sales channels and ad platforms all have to agree on one margin number.
Bring the report that eats your week
We'll look at it with you and say what a single source of numbers would save. No pitch deck.