Google Analytics 4 vs Yandex Metrica: Which to Use and When
Basics4 minInnovialabs editorial team
In short
Choose Google Analytics 4 if you advertise mainly in Google Ads and need deep event analysis, and Yandex Metrica if you run Yandex Direct or want built-in session recordings; for audiences in Uzbekistan and the CIS, the practical answer is often to install both with the same goals and UTM tags.
Short answer
Both tools are free and both answer the same basic question: where visitors come from and what they do. The difference is in focus:
- Google Analytics 4 is built around events and users, ties directly into Google Ads and other Google products, and suits deep analysis and raw data export.
- Yandex Metrica is built around visits, ties into Yandex Direct, and includes Webvisor session recordings and click maps out of the box.
If you advertise in only one ecosystem, start with its analytics. If your audience is in Uzbekistan or the wider CIS and you use both Google and Yandex, install both.
Side-by-side comparison
| Google Analytics 4 | Yandex Metrica | |
|---|---|---|
| Data model | Events with parameters, user-centred | Visits and hits, visit-centred reports |
| Goals | Any event marked as a key event | Goals: page visit, JavaScript event, contact clicks, forms, composite |
| Interface | Flexible but takes time to learn; explorations for custom analysis | Ready-made reports, simpler for beginners, Russian-language by default |
| Session recording | Not built in; needs a separate tool | Webvisor built in |
| Click and scroll maps | Not built in | Built in |
| Ad integration | Google Ads, Display & Video 360, Search Console | Yandex Direct, Yandex Audiences |
| Sampling | Standard reports usually unsampled; explorations may be sampled on large data | Large reports may be sampled; accuracy can be raised in settings |
| Raw data | Export to BigQuery | Logs API |
| Mobile apps | Same property via Firebase | Separate product, AppMetrica |
| Bounce rate | Inverse of engagement rate | One page view and under 15 seconds |
Where the differences matter in practice
Data model
In GA4 everything is an event, which makes it flexible: you can analyse any action and its parameters, build funnels and path reports. The price is a steeper learning curve and the need to plan events in advance. Metrica's reports are organised around visits and are easier to read on day one.
Behaviour analysis
If you want to see why people leave a form or a pricing page, Metrica's Webvisor and maps give answers without extra tools. With GA4 alone you see that they left, but not what they did on the page.
Advertising
Ad systems optimise best on data from their own analytics. Google Ads works most smoothly with GA4 key events; Yandex Direct works with Metrica goals. Running ads in both systems with only one analytics tool means one of them learns from incomplete data.
Numbers will not match
Visits, users and bounces are defined differently, traffic sources are attributed by different rules, and ad blockers affect each counter differently. A difference between the two systems is normal. A sudden large gap is a signal to check tracking.
Why many sites in Uzbekistan run both
- The audience uses both Google and Yandex search and services.
- Businesses often advertise in Google Ads and Yandex Direct at the same time, and each needs its own conversions.
- Webvisor complements GA4's event analysis.
- Two independent counters help catch tracking errors: if one shows a drop and the other does not, the problem is in the setup, not in traffic.
- Both are free, so the cost is setup time and keeping goals consistent.
How to run both without chaos
- Use one tag manager, such as Google Tag Manager, to send events to both systems from one place.
- Name goals identically: if GA4 has
generate_lead, Metrica gets a goal with the same identifier. - Use one UTM dictionary for all ad links. Both systems read the same tags.
- Keep a tracking map: a short table of actions, event names and where each is sent.
- Mention both tools in your privacy policy and cookie notice.
- Compare trends, not absolute numbers, and investigate only significant divergences.