Aixel: Ad Attribution & CAPI vs Boosteam
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 8, 2026 for Aixel, Jul 3, 2026 for Boosteam.
The short answer
- Boosteam lists 15 features Aixel’s listing doesn’t mention, including Benchmarking, Broken links, Checkout analytics.
Head to head
- India
- Qatar
- United Arab Emirates
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Growth
- · 1 Google Ads conversion
- · 1 Meta pixel with Conversions API
- · 1 Snapchat pixel
- · 1 WhatsApp account with Conversions API
- · 30 days of data
- · 5 users
Scale
- · 10 users and 3 months of data
- · Advanced audience building
- · Ask questions about your data with AI
- · Multi-touch attribution
- · Up to 5 pixels per ad platform
Pro
- · 3 months of data
- · AI automations
- · Everything in Growth
- · Product analytics
- · Unlimited users
- · Webhooks and API access
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureCustomers rarely buy in one place. They click an ad, browse your store, message you on WhatsApp and order days later, online or offline. Aixel joins those steps into one customer timeline, so every order is credited to the campaign, ad and creative that started it. Server-side tracking counts the visits and purchases that browser pixels miss.
Boosteam is an AI-powered analytics platform for your Shopify store. Connect your store once and it analyzes your data every day - surfacing insights across sales, ads, marketing, inventory, and conversion. It monitors performance, catches problems before they cost you, and gives you clear, actionable recommendations.
- Unified View: All shop & campaign data in one easy dashboard
- Data Visualization: Get insights from your funnel & key charts
- Easy Integration: Connect Meta & Google with ease.
- Centralize and clean your store data into one reliable source.
- Monitor ads, budgets, and performance with AI insights.
- Get clear, actionable steps to improve store performance.
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 |  Aixel |  Boosteam |
|---|---|---|
| Detected stores | 22 | 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 | Health & Beauty, Electronics, Food, Beverages & Tobacco | Not published |
| Top store countries | India, Qatar, United Arab Emirates | Not published |
Reviews
| Measure | Aixel | Boosteam |
|---|---|---|
| App Store rating | 5.0 ★ | Not published |
| App Store reviews | 5 | Not published |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
Aixel and Boosteam: common questions
- What features does each app list that the other doesn’t?
- Aixel lists 2 the others don’t mention, such as Event tracking, Real-time tracking. Boosteam lists 15 the others don’t mention, such as Benchmarking, Broken links, Checkout analytics, Cohort analysis. 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 8, 2026 for Aixel, Jul 3, 2026 for Boosteam; 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 8, 2026 for Aixel, Jul 3, 2026 for Boosteam. 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.