OCT Shipping Analytics PRO vs Profytly — Profit Analytics
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 4, 2026 for OCT Shipping Analytics PRO, Oct 22, 2026 for Profytly.
The short answer
- OCT Shipping Analytics PRO lists 3 features Profytly’s listing doesn’t mention, including Historical analysis, Notifications, ROAS.
Head to head
Starter
Growth
Scale
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureShipping Analytics PRO shows the gap between what customers pay for shipping and what each shipment really costs your store. The app reads shipping data from your Shopify orders, you add the actual carrier cost per order, and the dashboard calculates shipping revenue, cost and margin.
Revenue is easy to measure and a poor guide to whether a month actually made money. The numbers that decide it — COGS, the fee your gateway really charged, tax, shipping, refunds and your operating overheads — sit in different places and never meet. Profytly brings them into one figure for every order, and shows where each one came from.
- Compare shipping revenue with actual shipping costs
- Identify loss-making shipping methods and destinations
- Measure what free shipping really costs your store
- See which order value ranges make or lose money on shipping
- Net profit per order, product, country and day, not just revenue
- The real gateway deduction on each transaction, not a flat estimate
- COGS from Shopify inventory, with per-variant overrides and handling
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Profytly | |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | Profytly | |
|---|---|---|
| App Store rating | Not published | 5.0 ★ |
| App Store reviews | Not published | 1 |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Profytly | |
|---|---|---|
| Free plan | Not listed | Not listed |
| Lowest paid monthly plan | No monthly plan listed | $29.90/month |
| Longest free trial | Not listed | 7 days |
| Plans listed | Not published | 3 |
Listing
| Measure | Profytly | |
|---|---|---|
| Shopify category rank | Not enough data | #716 |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Jul 3, 2026 | Jul 30, 2026 |
| Languages | 1 | 3 |
| Developer | Octolize LTD | Express RV International LLC |
FAQ
OCT Shipping Analytics PRO and Profytly: common questions
- What features does each app list that the other doesn’t?
- OCT Shipping Analytics PRO lists 3 the others don’t mention, such as Historical analysis, Notifications, ROAS. Profytly lists 1 the others don’t mention, such as Data export. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 4, 2026 for OCT Shipping Analytics PRO, Oct 22, 2026 for Profytly; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 4, 2026 for OCT Shipping Analytics PRO, Oct 22, 2026 for Profytly. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.