Best Plugins to Install PostHog on Shopify in 2025

No. There isn’t a first-party “PostHog for Shopify” app maintained by PostHog themselves.

Instead, PostHog explicitly points to manual setup as their recommended path and labels PixieHog and similar tools as unofficial third-party integrations.

That’s why your realistic choices in 2025 are:

• Manual: fully supported by PostHog documentation

• Apps like PixieHog / Trackify: convenient, but maintained by independent developers

For most merchants, the simplest route is:

• PixieHog – a free, plug-and-play Shopify app that connects your store to PostHog with a few settings (API key, host). (+)

You avoid touching code but still get key events into PostHog. If you want more control, you can move to a manual install later.

Manual install is better when:

• You have technical skills (or a dev) and want full control.

• You need custom events beyond the standard Shopify events the apps send.

• You care about exact event names, properties, and performance.

PostHog’s own docs recommend manual integration as the baseline and treat third-party apps as optional shortcuts.

If PostHog is a core analytics layer for your business, manual usually wins long-term.

Use PixieHog when:

• You only care about PostHog.

• You want a free PostHog-only integration with minimal setup.

Use Trackify when:

• You want to send the same Shopify events to multiple tools (Mixpanel, PostHog, Segment) from one place.

• You’re centralizing analytics across several platforms and don’t want separate implementations for each.

If PostHog is your main analytics tool, PixieHog or manual will usually be simpler. If you’re running a mixed stack, Trackify becomes more attractive.

Both aim to send core commerce events to PostHog, such as:

• Page views / product views

• Add to cart

• Checkout started

• Checkout completed / orders

PixieHog’s materials emphasize sending store events to PostHog and enabling PostHog features like funnels and experiments on Shopify data.

Trackify’s app store listing focuses on automatically sending store events to Mixpanel, PostHog, and Segment without custom code.

For exact event names and properties, you’d check each app’s docs, but the coverage is broadly the same: the standard Shopify lifecycle.

Yes, if PostHog is actually installed on your storefront.

• PostHog’s autocapture and session recording features require their JavaScript snippet to run in the browser, which then powers things like heatmaps.

• PixieHog is explicitly designed to integrate PostHog’s tracking into Shopify using Shopify’s Web Pixels API and privacy tooling, so you can leverage session replays and experiments.

If you only connect via Zapier, Make, or RudderStack (pure server-side), you won’t get session recordings, autocapture, or heatmaps – only discrete events.

It depends on the method:

• PixieHog / Trackify: designed to be no-code or low-code. Most merchants can install them and paste in PostHog credentials without a developer.

• Manual install: PostHog’s own guide is more technical and expects you to be comfortable editing theme files or using Shopify’s newer web pixel infrastructure.

If you want fine-grained custom events or already have a complex theme/custom checkout, having a dev is strongly recommended.

Anything that adds JavaScript can affect performance in theory, but:

• PixieHog is built on Shopify’s Web Pixels API, which is designed to load tracking in a controlled, performant way and respect privacy controls.

• Trackify centralizes multiple analytics pixels in one app, which can actually reduce the mess of multiple separate scripts if you’re already loading several tools.

If you implement PostHog manually and start adding heavy custom code everywhere, you can hurt performance. A clean implementation (or a well-built app) keeps overhead reasonable.

Yes, you can.

• Zapier has a ready-made Shopify ↔ PostHog integration that sends events when something happens in Shopify (orders, customers, etc.).

• RudderStack offers a Shopify integration that forwards store events to PostHog and other tools.

• Make (Integromat) and similar tools can do the same event forwarding pattern.

But these are pipeline tools. They don’t “install PostHog on your site”. they just sync data between systems.

If you only send Shopify events into PostHog via Zapier, Make, RudderStack, etc. (no PostHog JS on site), you lose:

• Autocapture of frontend interactions

• Session recordings

• Heatmaps

• Client-side experiments / feature flags on the storefront

You’ll still have events in PostHog for reporting, funnels, retention, etc., but you won’t get the full “installed analytics suite” experience.

Use this rule of thumb:

• Non-technical, want PostHog only: PixieHog

• Non-technical, multi-tool stack (Mixpanel, Segment, etc.): Trackify

• Technical team, PostHog is strategic: Manual install

• You only need a few backend events in PostHog: Zapier / Make / RudderStack routing

The article you wrote basically maps to this: PixieHog = quickest, Trackify = “hub for multiple analytics,” manual = maximum flexibility, third-party pipelines = niche/wiring use cases.

Manual can be more precise, but only if done well.

• With manual install, you decide exactly what to track, where, and how – down to event names and properties. Mis-implementation can still break things, though.

• With apps, you rely on their predefined mapping of Shopify events. That’s usually “good enough” for standard stores but less flexible for unusual flows or custom logic.

So manual isn’t automatically “more accurate”; it’s more customizable. Accuracy comes from good implementation, not the method itself.

Yes, if PostHog is properly installed on your storefront.

• PostHog supports experiments and feature flags that can be triggered on the front-end, including a Shopify storefront, as long as the JS client is running.

• PixieHog explicitly markets the ability to “run experiments across your storefront and checkout” once connected to PostHog.

If you only integrate via Zapier/RudderStack (no JS snippet), you won’t be able to serve UI variations or feature flags to shoppers. You’d just be measuring backend events.

Yes, if you implement it correctly.

• PixieHog specifically mentions integrating with Shopify’s Customer Privacy API and Web Pixels API, which means it respects consent and privacy controls that Shopify exposes.

• PostHog itself provides tooling and documentation around privacy and consent; combined with Shopify’s native privacy framework, you can run a compliant setup as long as you capture and honor user consent properly.

What matters is not just the tool but how you configure consent banners, data retention, and IP/PII handling in both Shopify and PostHog