GA4 Free vs GA4 360 GA4 Free vs GA4 360: Is the Paid Version Worth It?
GA4 sampling limits, BigQuery export differences, sub-properties, SLA, cost (~150K USD/year). Clear criteria for when 360 makes sense.
What the free version doesn’t tell you
Google Analytics 4 in its free version covers the needs of the vast majority of websites. But beyond a certain data volume and level of demand, its limitations become concrete obstacles for analysis and decision-making. GA4 360, the enterprise version, pushes those limits back — for a significant investment.
The question is not whether GA4 360 is better (it is by design), but whether the free version’s limitations are actually costing you money or decision quality.
The concrete limits of GA4 Free
The first limit is sampling. Beyond approximately 10 million events over the analyzed period, explorations (and some reports) rely on a sample rather than the full dataset. For a high-traffic e-commerce site, this means that analyses of fine segments (a specific product, a niche campaign, a minority path) are based on estimates, not exhaustive data.
The second limit is cardinality. When a dimension exceeds a certain number of unique values, GA4 Free groups the least frequent values into an “(other)” row. For sites with thousands of pages or products, this makes certain granular analyses impossible from the interface.
Data retention is capped at 14 months in the free version. Beyond that, detailed data (explorations) is deleted. Only aggregated reports remain available. For year-over-year analyses or long-term trends, this is a real constraint.
What GA4 360 brings
| Criterion | GA4 Free | GA4 360 |
|---|---|---|
| Events collected | Unlimited (but sampling beyond ~10M) | Unlimited, no sampling (up to billions) |
| Exploration sampling | Yes (beyond 10M events) | No (exhaustive data) |
| Dimension cardinality | Limited (“(other)” grouping) | Extended |
| Data retention | 14 months max | 50 months |
| BigQuery export | Daily, 1M events/day | Streaming (real-time), unlimited volume |
| Sub-properties | No | Yes (filtered views for teams/BUs) |
| Roll-up properties | No | Yes (multi-property aggregation) |
| Custom dimensions | 25 event-scoped, 25 user-scoped | 125 event-scoped, 100 user-scoped |
| Audiences | 100 max | 400 max |
| Conversions | 30 max | 50 max |
| SLA | None | Contractual SLA (uptime, support) |
| Support | Public documentation | Dedicated Google support, account manager |
| Ads integrations | Standard | Advanced (DV360, SA360 audiences) |
BigQuery export: the real differentiator
The BigQuery export exists in the free version, but with limitations. The export is daily (no streaming), the volume is capped at one million events per day, and data arrives with a 24-to-48-hour delay.
With GA4 360, the BigQuery export switches to streaming: data is available in near real-time with no volume cap. For data teams that rely on BigQuery as their analytics data warehouse, this is a major qualitative shift. Ad hoc analyses, custom attribution models, and automated reports can rely on fresh and complete data.
Cost: the elephant in the room
GA4 360 is billed based on event volume, with an entry price of around $50,000 per year (through a certified reseller) and a list price that can reach $150,000 annually or more for high volumes. This amount should be weighed against the company’s media budget and digital revenue.
For a site generating $500,000 in digital revenue per year, investing $50,000 to $150,000 in GA4 360 represents 10 to 30% of revenue. That is disproportionate. For an e-commerce player investing several million dollars in digital media, the gains in attribution quality and media spend optimization can easily justify the investment.
When upgrading to 360 makes sense
Upgrading to GA4 360 is worthwhile when three conditions are met: data volume is high enough that sampling genuinely degrades analysis quality (more than 10 million events per month in practice), digital media budget is significant and its optimization depends on analytics data accuracy, and a data team is capable of leveraging advanced features (BigQuery streaming, sub-properties, extended audiences).
If you are not in that situation, the combination of GA4 Free + daily BigQuery export + Looker Studio covers the vast majority of needs at zero cost. That is the setup I recommend to most of my clients before considering any upgrade.