惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
LangChain Blog
J
Java Code Geeks
P
Proofpoint News Feed
Recent Announcements
Recent Announcements
罗磊的独立博客
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园_首页
Hugging Face - Blog
Hugging Face - Blog
MongoDB | Blog
MongoDB | Blog
人人都是产品经理
人人都是产品经理
博客园 - 【当耐特】
雷峰网
雷峰网
D
DataBreaches.Net
B
Blog RSS Feed
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 聂微东
V
Visual Studio Blog
Apple Machine Learning Research
Apple Machine Learning Research
N
Netflix TechBlog - Medium
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Martin Fowler
Martin Fowler
有赞技术团队
有赞技术团队
Blog — PlanetScale
Blog — PlanetScale
Engineering at Meta
Engineering at Meta

PostHog's RSS Feed

Training our own AI models - PostHog From 270GB RAM to 5GB: Moving local flag evaluation from Django to Rust The best analytics stack for vibe-coded apps The do's and don'ts of minimum viable product marketing - PostHog The best MCP servers for startups, by workflow 4,063 errors closed without a human opening PostHog – here's what we learned - PostHog PostHog Code and the self-driving product - PostHog Why attacking your competitors online is dumb - PostHog The best real-time analytics platforms for developers, compared DuckDB vs ClickHouse: Why we use both at PostHog - PostHog PostHog's next chapter - PostHog Making Claude Cowork actually useful - PostHog PostHog vs Matomo in-depth tool comparison You're doing lifecycle emails wrong Untangling Tokio and Rayon in production: From 2s latency spikes to 94ms flat The best HIPAA-compliant A/B testing tools - PostHog A beginner's guide to testing AI agents - PostHog I hate the standup bot (so I built an agent to do it for me) - PostHog The best CDPs for developers, compared The best error tracking tools for developers, compared The best feature flag software for developers, compared 7 best session replay tools for mobile apps 7 best free open source business intelligence tools right now 7 best free and open source LLM observability tools PostHog vs LogRocket in-depth tool comparison The most popular PostHog alternatives, compared Open source (and self-hosted) session replay tools - PostHog The 9 best GA4 alternatives for apps and websites - PostHog PostHog vs Google Analytics 4 in-depth tool comparison How we built automatic clustering for LLM traces - PostHog
Why I ditched Google Analytics and Mixpanel for PostHog -...
Colin Wren · 2022-05-26 · via PostHog's RSS Feed

By Colin Wren, Co-founder of Reciprocal.dev.

It took me until I built my second product, Reciprocal.dev, to really understand the value of analytics. I’d always thought of such tools as being an invasion of privacy and questioned the need for front-end scripts when properly configured server logs could provide the same information. But, after learning how customer behavior metrics are key to performing the iterative small tweaks needed to align a product to customer needs, I took a second look at how analytics were used in my existing products.

Until this point, Google Analytics had always been my go-to analytics platform. This wasn’t based on any real knowledge of the analytics space. I just used it because I knew that others did.

In my opinion though, Google Analytics is a mess. It’s good for quantitative metrics, but not qualitative metrics. There are two different UIs for the same data (Firebase Analytics and Google Analytics), two different versions of tracking tag to pick from (v3 and v4; some JS libraries only support v3) and the Goals feature doesn’t easily lend itself to building up a clear picture of what users are actually doing.

“I’ve found PostHog to be miles ahead of the other tools I’ve tried and I’m a little miffed that I didn’t find it straight away and wasted time with Mixpanel.”

I was getting so little value from Google Analytics that I started to look for a new tool that would provide more qualitative data. I picked Mixpanel because the UI looked good and it had funnel reports that allowed me to see conversions easily.

Switching from Mixpanel to PostHog

Initially Mixpanel delivered the value we had hoped for. We were able to see how our app was used, see which areas of the product weren’t converting and use that data in discussions about improvements to the product. However, Mixpanel’s free tier is very limited and only lets you create five funnels. They want you to pay for their services, but we found them too expensive to justify.

So, I started looking for a Mixpanel alternative we could self-host. By self-hosting our analytics we would only have to pay for the server the analytics tool was running on, which would be around one fifth of the cost of Mixpanel's lowest pricing tier. We would also have more control over our user data.

During my research I came across PostHog. It offered the same funnel views that Mixpanel did, could be self-hosted and even offered a free tier that offered unlimited funnels. It was a no-brainer for us to switch.

Moving to PostHog required a few changes in our codebase, but because I’d abstracted the analytics events into a single function I only had to update that function and the analytics initialization. I used an options object which allows custom event data to be defined, which can then be used to filter out events or to tailor reports:

After this, building funnels in PostHog was really easy. I built a sequence of events trigger as a user performs actions in the app and saved these insights into a dashboard so there would be a single place to collect insights for a particular behavior or section of the product.

There are also tools that make it easier to track which iteration of the product events are being captured against, such as feature flags and apps that integrate with release management tools. Overall, I’ve found PostHog to be miles ahead of the other tools I’ve tried and I’m a little miffed that I wasted time with Mixpanel.

“PostHog better enables us to grow our product and, with self-hosting, we're more in control of our analytics usage overall.”

How switching to PostHog worked for us

As an early stage start-up our priority is to get the most out of our tools for the lowest price possible. Mixpanel gave us a qualitative dataset of how users were using our app, but the limitations and cost meant there was very little value in the tool. It wasn’t something we could use to grow the product.

PostHog gave us the means to build a qualitative dataset and didn’t limit us on how we dissected data. As a result, PostHog better enables us to grow the product and, with self-hosting as an option, we’re more in control of our analytics usage overall. By moving to PostHog we’ve been able to identify significant friction points in our sign-up process and make improvements that lead to an increase in people creating an account.

This article was written by Colin Wren, Co-founder of Reciprocal.dev, who originally shared his experience on Medium. It is shared here with his permission.

Want to just try it already?

(Sorry for the shameless CTA.)