Apollo.io vs LinkedIn Insight Tag: Shopify Performance Comparison
Both apps score Grade B — Apollo.io has the edge with 13 ms vs 26 ms desktop CPU execution.
Both apps provide heatmaps, session recording, and analytics functionality for Shopify stores. This page presents StackConflict’s independent lab results for both — measured in a clean-room environment with no other apps installed.
Head-to-Head Metrics
| Metric | Apollo.io | LinkedIn Insight Tag | Faster |
|---|---|---|---|
| Overall Grade | B | B | Tie |
| JS Payload | 54.96 KB | 52.38 KB | LinkedIn Insight Tag |
| CPU Desktop | 13 ms | 26 ms | Apollo.io |
| CPU Mobile | 100 ms | 59 ms | LinkedIn Insight Tag |
| Layout Shift | 0.0006 | 0.0 | LinkedIn Insight Tag |
Mobile CPU measured with 4× CDP throttle (mid-range Android). Tested 2026-05-30.
Apollo.io — The Faster Option (Grade B)
Apollo.io scores Grade B with a JS payload of 54.96 KB and 13 ms desktop CPU execution. Mobile CPU: 100 ms. It passes every StackConflict threshold for payload, CPU, and layout stability — making it safe to install on any storefront including mobile-first stores where Time-to-Interactive directly impacts conversion.
View full Apollo.io speed report →
LinkedIn Insight Tag — The Heavier Option (Grade B)
LinkedIn Insight Tag scores Grade B with a JS payload of 52.38 KB and 26 ms desktop CPU execution. Mobile CPU: 59 ms. Performance is acceptable but worth monitoring, particularly on stores with high mobile traffic share.
View full LinkedIn Insight Tag speed report →
When to Choose Apollo.io
- You need its specific features and can monitor its mobile impact
- Your other apps are lightweight (Grade A) so there is headroom
- You are on desktop-skewed traffic where CPU cost matters less
When to Choose LinkedIn Insight Tag
- You need its specific features and can monitor its mobile impact
- Your other apps are lightweight (Grade A) so there is headroom
- You are on desktop-skewed traffic where CPU cost matters less
Performance Verdict
Result: Comparable — Both apps score Grade B — Apollo.io has the edge with 13 ms vs 26 ms desktop CPU execution.
About This Test
StackConflict measures each Shopify app in an isolated clean-room environment — a single development store, no other scripts, Playwright-controlled browser. V8 CPU cost is the ScriptDuration delta before and after injection. CLS is captured from the same browser session. Results represent the median of three independent runs with outliers removed.
Data from the StackConflict Lab. Last updated 2026-05-30.