🆚 HubSpot Analytics vs. PostHog
Compare technologies based on real-world usage data *- 📈 HubSpot Analytics is much more popular than PostHog.
- 🌎 HubSpot Analytics is more popular in the United States, the United Kingdom, and Australia.
- 🌍 PostHog is more popular in the Faroe Islands.
Type
About
Measure the performance of all your marketing campaigns in one place with built-in analytics, reports, and dashboards.
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.
Headquarters
Pricing
(1K contacts)$20/seat/month
(3 seats, 2K contacts)$890/month
(5 seats, 10K contacts)$3,600/month
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥉 Third most popular in Mongolia in the Analytics category.
- ⭐ 4th most popular in the United States in the Analytics category.
- ⭐ 5th most popular in Finland in the Analytics category.
- ⭐ 6th most popular in the United Kingdom in the Analytics category.
- ⭐ 6th most popular in Australia in the Analytics category.
- 🥇 Most popular in Turkey in the A/B Testing category.
- 🥇 Most popular in Turkey in the Feature Management category.
- 🥈 Second most popular in Poland in the Feature Management category.
- 🥉 Third most popular in the United States in the Feature Management category.
- 🥉 Third most popular in Canada in the Feature Management category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
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.

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