Shopify app
NewMargeny ‑ Profit Analytics
See your true profit after COGS, fees, refunds and ad...
- Rating on Shopify
- No ratings yet
- Reviews
- 0
- Developer
- margeny.com
- Launched
- July 30, 2026
- Pricing
- From $29/month. Free trial available.
- Languages
- English
The facts
Every value below is read from the listing or computed by the published formula. Nothing is a verdict.
Bayesian rating
n/a
category median 4.61
Reviews in the last 180 days
n/a
no dated reviews collected
1 and 2 star share
n/a
no rating distribution
Starting price
$29/month
band: $10 to $29 · 14-day trial
Pricing plans as listed on Shopify
All charges are billed in USD. Recurring and usage-based charges are billed every 30 days.
| Plan | Price | Billed yearly | Trial | Usage fee | Included |
|---|---|---|---|---|---|
| Starter | $29/month | not offered | 14 days | none stated | Up to 500 orders/month; Profit per order: COGS,fees,shipping...; P&L with ad spend (Meta, Google, TikTok); Customer LTV and cohorts; Weekly profit report and anomaly alerts |
| Growth | $59/month | not offered | 14 days | none stated | Up to 2,500 orders/month; Profit per order: COGS,fees,shipping...; P&L with ad spend (Meta, Google, TikTok); Customer LTV and cohorts; Weekly profit report and anomaly alerts |
| Scale | $119/month | not offered | 14 days | none stated | Up to 10,000 orders/month; Profit per order: COGS,fees,shipping...; P&L with ad spend (Meta, Google, TikTok); Customer LTV and cohorts; Weekly profit report and anomaly alerts |
Features Shopify lists for this app
Feature handles from the listing, grouped as Shopify groups them.
Customer behavior
- Lifetime value (LTV)
- Cohort analysis
Marketing and sales
- ROAS
- Profit insights
- Purchase tracking
Visuals and reports
- Analytics dashboard
- Data export
Data access
As disclosed on the listing. Never scored.
View customer data
Sensitive data, device and activity data
- Sensitive data: Name
- Device and activity data: Geolocation, IP address, browser and operating system
View staff and contributor data
Store owner
- Store owner: Name, email address, phone number, physical address
View store data
Customers, products, orders
- View customers: Customer data
- View products: Products, collections
- View orders: All order history for the last 60 days
Developer
margeny.com
- Apps in the dataset:
- 1
- Address:
- Ferraz 39, Madrid, M, 28008, ES
- Website:
- www.margeny.com
- Support email domain:
- margeny.com
- English support:
- yes
- Resources:
- Privacy policy
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From the Shopify listingDeveloper claims, shown verbatim and collapsed. 90 words.Show
- True profit per order: COGS, payment fees, shipping, and refunds included
- Daily P&L with Meta, Google, and TikTok ad spend, MER, and profit after ads
- Costs synced from Shopify, with per-variant overrides and bulk CSV upload
- Customer lifetime value, repeat rate, and cohort retention heatmap
- Weekly profit report by email plus alerts when revenue or margin drop
Know your true profit. Margeny combines sales, COGS, fees, and ad spend into one clear P&L.
Most analytics tools show revenue, but revenue is not profit. Margeny calculates your actual profit by combining your Shopify orders with product costs, payment fees, shipping costs, refunds, and advertising spend from Meta, Google, and TikTok.
Product costs are read automatically from Shopify. You can override them per variant, upload them in bulk with a CSV file, or set time-based costs that reflect changes from your suppliers.
Every order gets a full margin breakdown.
Questions and comments
Questions people ask about Margeny ‑ Profit Analytics, answered from what this page shows. Entries marked Site editor are written by the EcomAppReviews editor. Reader comments appear after a person has read and approved them, usually within a day. E-mail addresses are never published.
Last updated Oct 21, 2026. Ratings and review counts are the values shown on each app's public listing. How the numbers are computed: methodology.
0 reviews counted on the listing. Rating and count in the structured data are the values Shopify displayed when the listing was last refreshed.