---
title: "Why PostHog Users Switch to Code-Native A/B Testing"
description: "PostHog is a genuinely useful all-in-one platform. Teams that split their landing page tests out from it aren't rejecting PostHog — they're avoiding paying its event-based pricing for a page that isn't part of the product surface it's built to analyze."
canonical: https://landtest.dev/blog/why-posthog-users-switch-code-native-ab-testing
last-updated: 2026-10-30
---

# Why PostHog Users Switch to Code-Native A/B Testing

> PostHog is a genuinely useful all-in-one platform. Teams that split their landing page tests out from it aren't rejecting PostHog — they're avoiding paying its event-based pricing for a page that isn't part of the product surface it's built to analyze.

Teams that move landing page tests off PostHog specifically — while often keeping it for product analytics — tend to cite one thing: usage-based pricing applied to a page that's outside the product they're actually trying to analyze. PostHog's autocapture and event billing are built around understanding user behavior inside an app, and a marketing landing page visited by people who haven't signed up yet is a different kind of traffic, often high-volume and low-intent, that can consume event allowance without producing the kind of insight PostHog is designed to surface.

This is Landtest's own content — see our fuller [PostHog vs Landtest comparison](/blog/posthog-vs-landtest) for the direct tradeoffs.

## The specific friction

[Reviewers comparing PostHog against flag-focused alternatives](https://www.statsig.com/comparison/top-alternatives-posthog-experimentation) note it's consistently the more expensive option at scale, and that default autocapture can burn through the free event tier on low-value events before a deliberate test even starts. For a marketing page specifically — high traffic, much of it one-time visitors who never convert — that pattern is worse than for in-app usage, where most events reflect an engaged user you actually want data on.

The second friction point is scope: PostHog's experimentation feature sits inside a platform built for session replay, funnels, and broader product analytics. For a team that wants exactly one thing — run a landing page test, get a statistically sound answer — that's more surface area (and more billing complexity) than the problem requires.

## What switching actually changes

Moving landing page tests to a code-native, deploy-layer split doesn't mean giving up PostHog for what it's good at. Most teams that make this move keep PostHog fully in place for in-app analytics, session replay, and product experimentation, and specifically route marketing landing page tests through a tool that doesn't bill by page-load event and doesn't require a client-side SDK on pages visited by people who aren't users yet.

## When staying on PostHog for landing pages makes sense

If your landing page traffic is modest and you're already well within PostHog's free tier, or if you specifically want landing page behavior data (scroll depth, click maps) alongside your product analytics in one dashboard, there's a real case for keeping everything in PostHog rather than splitting tools.

## FAQ

**Is PostHog too expensive for landing page testing?**
It can be, specifically because autocapture and usage-based billing apply to all page-load events, and marketing pages often generate high volumes of low-intent traffic that consumes allowance without producing actionable product data.

**Can I use PostHog for the app and something else for landing pages?**
Yes, and it's a common split — PostHog for in-app product analytics and experimentation, a code-native tool for marketing landing page tests specifically.

**Does PostHog support Next.js?**
Yes, with an official SDK for both client and server-side event capture and flag evaluation.

---

Related: [PostHog vs Landtest](/blog/posthog-vs-landtest) · [Best A/B testing tools for Next.js developers](/blog/best-ab-testing-tools-nextjs-developers) · [Landtest for A/B testing](/ab-testing)