Pivotal Analytics vs SSP Analytics
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Feb 19, 2026 for Pivotal Analytics, Nov 3, 2026 for SSP Analytics.
The short answer
- Pivotal Analytics lists 4 features SSP Analytics’s listing doesn’t mention, including Activity tracking, Page views, Pixel tracking.
Head to head
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureMonitor customer activity in your Shopify store, including add-to-cart, view cart, purchases, and refunds. Gain valuable insights into shopper behavior and trends to understand your store’s performance. The app integrates seamlessly with Shopify, is easy to install, and allows merchants to track key interactions.
We provide data for your business to help your business through Machine Learning. This app allows us to collect the necessary analytics that makes that happen.
- Track purchases, refunds, and cart actions in real-time with detailed metrics.
- Connect and start tracking instantly with no technical setup required.
- Monitor orders, cancellations, and customer behavior across your entire store.
- Gathers sales data to understand user behavior
- Allows recommending clothing sizes that fit your customers
- Reduces return rates by reducing oreders for clothes that don't fit




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 | Pivotal Analytics | |
|---|---|---|
| Detected stores | Not published | 21 |
| 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 | Apparel & Accessories |
| Top store countries | Not published | United States, Denmark, Canada |
Reviews
| Measure | Pivotal Analytics | |
|---|---|---|
| App Store rating | Not published | Not published |
| App Store reviews | Not published | Not published |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Pivotal Analytics | |
|---|---|---|
| Free plan | Not listed | Not listed |
| Lowest paid monthly plan | No monthly plan listed | No monthly plan listed |
| Longest free trial | Not listed | Not listed |
| Plans listed | Not published | Not published |
Listing
| Measure | Pivotal Analytics | |
|---|---|---|
| Shopify category rank | #749 | Not enough data |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Oct 9, 2025 | Aug 16, 2024 |
| Languages | 1 | 1 |
| Developer | PVTL Limited | Secret Sauce Partners, Inc. |
FAQ
Pivotal Analytics and SSP Analytics: common questions
- What features does each app list that the other doesn’t?
- Pivotal Analytics lists 4 the others don’t mention, such as Activity tracking, Page views, Pixel tracking, Real-time tracking. SSP Analytics lists 1 the others don’t mention, such as Event tracking. 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 Feb 19, 2026 for Pivotal Analytics, Nov 3, 2026 for SSP Analytics; 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 Feb 19, 2026 for Pivotal Analytics, Nov 3, 2026 for SSP Analytics. 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.












