🆚 PostHog vs. Splitbee

Compare technologies based on real-world usage data *

Type

Web analytics tool
Web analytics tool

About

PostHog is an open-source product analytics platform available as a self-hosted deployment or managed cloud service.

It offers event and funnel analytics, retention and cohort analysis, session recording and heatmaps, feature flags and A/B testing, customizable dashboards, plugins, and data export to data warehouses such as BigQuery and Snowflake.

Splitbee is an analytics and conversion tool that helps you understand and improve your site's user experience.

Headquarters

San Francisco, California, United States
San Francisco, California, United States

Website

Pricing

Free version ✔️Open source
PostHog Cloud
Free tier ✔️1M events, 5K session recordings
Usage based (after 1M free events)$0.00005-/event
Enterprise$2,000+/month
Free version ✔️2,500 events, 1 A/B test, 1 automation per month
Pro
25K events$14/month
100K events$21/month
250K events$34/month
1M events$79/month

Categories

Analytics › Rank #41
Analytics › Rank #180
A/B Testing › Rank #5
A/B Testing › Rank #46
Feature Management › Rank #3

Popularity

Determined by the number of sites using each technology.

The PostHog web analytics tool is 68 times more popular than Splitbee.
Total websites

Market share

Analytics
A/B Testing

Popularity by country

Determined by the number of sites detected from each country.

PostHog is more popular than Splitbee in all countries.
United States
United Kingdom
Germany
France
Canada
India
Australia
Netherlands
Spain
Brazil

Awards

Popularity by domain category

Determined by the number of sites in each category.

PostHog is more popular than Splitbee in all market segments.
Business
Marketing/Merchandising
Online Shopping
Internet Services
Software/Hardware
Education/Reference
Real Estate
Health
Blogs/Wiki
Finance/Banking

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,016
#2,267
#2,710
View more ➝
Name
Rank
#141,842
#267,824
#445,225
#459,609
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.