Google Analytics 4 Pricing 2026: Free GA4 vs Analytics 360
Compare free GA4 with Analytics 360, including event-volume billing, retention, BigQuery export, sampling, API limits and implementation costs.

Google Analytics 4 Standard is free: the software subscription price is $0. Google Analytics 360 is the paid enterprise upgrade. Google does not publish one universal public dollar list price for 360, but current Google Marketing Platform billing documentation describes a fixed base fee covering the first 25 million monthly events plus variable per-event charges above that level.
Quick verdict
Key takeaways
- GA4 Standard $0
- Analytics 360 custom contract
- 360 fixed base fee includes first 25M monthly events
- variable per-event fee above 25M
- Standard retention up to 14 months
- 360 up to 50 months
- Standard BigQuery daily export 1M events
- 360 20B/day
- Standard Exploration threshold 10M events/query
- 360 1B + unsampled explorations
- Standard API 200k tokens/day
- 360 2M/day
- BigQuery/cloud/implementation costs separate
Free event-based web and app analytics from Google with funnels, attribution, audiences, predictive insights and native BigQuery export.
Best for: Businesses of nearly any size that need website/app measurement and marketing attribution, particularly organizations already using Google Ads, Search Console, Tag Manager or BigQuery.
- Explorations
- BigQuery export
- Analytics 360 limits
- Event-based measurement
- Standard GA4 is free with no software subscription charge.
- Deep Google Ads, Search Console and Google Marketing Platform integration.
- Native BigQuery raw-event export even on standard GA4, subject to standard limits.
- GA4's event model and interface have a steep learning curve for many users.
- Standard properties have lower sampling, retention, audience and API limits than Analytics 360.
GA4 Standard: $0
Standard Google Analytics 4 has no recurring software subscription fee.
The free tier includes web and app event measurement, standard reports, realtime reporting, audiences, Explorations, attribution, predictive features when eligible and native BigQuery export.
Most small and mid-sized organizations should start here.
The major costs are implementation and adjacent infrastructure rather than the Analytics license itself.
Analytics 360: custom enterprise pricing
Google Analytics 360 is sold through Google or authorized commercial channels and does not have one universal numeric public list price.
Google Marketing Platform billing documentation describes a fixed base fee covering the first twenty-five million monthly events.
Events above that baseline are charged through variable per-event pricing tiers, with lower unit rates at higher volumes.
Eligible organizations can preview usage and sample pricing inside Google Marketing Platform billing.
Why 360 is not simply a paid feature bundle
Analytics 360 mainly raises collection, retention, reporting, API and export limits and adds enterprise service capabilities.
The measurement model remains GA4.
An upgrade does not remove the need for clean event design, consent configuration or tagging QA.
Organizations should upgrade because limits or service requirements are measurable, not because the free interface is difficult.
Audiences and key events
Standard GA4 supports up to one hundred audiences per property under current limits, while Analytics 360 supports up to four hundred.
Standard supports thirty key events and 360 supports fifty.
These limits matter for large marketing organizations with many products, countries or campaign segments.
Smaller teams rarely need 360 purely for audience count.
Custom dimensions and metrics
Standard supports fifty event-scoped custom dimensions and fifty event-scoped custom metrics per property.
Analytics 360 raises those current limits to one hundred twenty-five each.
Item-scoped and other configuration limits also increase.
Large implementations should inventory planned custom definitions before committing to an enterprise contract.
Exploration limits
Standard Explorations have an ad-hoc sampling threshold of ten million events per query.
Analytics 360 increases that threshold to one billion events per query.
360 also provides unsampled exploration capacity, which Standard does not.
High-volume analysis teams should compare this benefit with simply analyzing raw exported data in BigQuery.
Data retention
Standard allows applicable user and event retention of two or fourteen months.
Analytics 360 adds twenty-six-, thirty-eight- and fifty-month options.
Retention mainly affects Explorations and non-aggregated event/user analysis rather than all standard aggregated reports.
BigQuery is often the better long-term event-history solution when the organization already has warehouse expertise.
BigQuery export
GA4 Standard supports daily raw-event export to BigQuery up to one million events per day.
Analytics 360 currently supports daily export up to twenty billion events per day.
Streaming export is documented as unlimited for both tiers.
BigQuery storage, query compute and related Google Cloud usage are billed separately from the $0 GA4 Standard subscription.
BigQuery sandbox
Google allows Analytics exports to a BigQuery sandbox environment subject to BigQuery sandbox limits.
Once usage exceeds free or sandbox allowances, normal Google Cloud charges can apply.
That means 'free GA4 with BigQuery' should not be interpreted as unlimited free warehouse analytics.
Cost governance should be established before analysts run large repetitive queries.
API quotas
Standard properties currently receive two hundred thousand Analytics Data API tokens per day under the Standard-versus-360 limit table.
Analytics 360 raises that allowance to two million tokens per day.
Most API calls consume far fewer than ten tokens, but large automated reporting systems can still make the quota relevant.
Organizations running customer-facing or high-frequency reporting pipelines should include API needs in the 360 business case.
Data import
Standard and 360 both allow manual data uploads, but storage capacity differs materially.
Current limits list ten gigabytes per Standard property versus one terabyte for Analytics 360.
Imported data can enrich measurement with offline or business context.
Large organizations should compare import requirements with a warehouse-first architecture instead of automatically pushing everything into GA4.
Implementation costs
The largest GA4 cost for many companies is professional work rather than software.
Tag Manager configuration, ecommerce schemas, app SDKs, cross-domain tracking, consent mode, server-side tagging, event QA and governance can require internal or agency expertise.
A poorly implemented free tool can be more expensive than a paid platform because bad data drives bad decisions.
Budget implementation separately from licensing.
Consent-management costs
GA4 does not provide a complete consent banner or legal compliance workflow.
Organizations may use a consent-management platform or custom solution to collect and communicate user choices.
Consent Mode then adjusts tag behavior based on those signals.
CMP licensing, legal review and implementation should be included in the total measurement budget.
Server-side tagging costs
Some organizations use server-side Google Tag Manager or related cloud infrastructure to gain more control over measurement flows.
That architecture can create Google Cloud or other hosting charges.
It also increases implementation and operational responsibility.
Server-side tagging is not required for all GA4 deployments and should be justified by specific privacy, performance or data-control goals.
Google Ads and marketing-platform costs
GA4 integrates deeply with Google Ads and Google Marketing Platform products, but those products have their own commercial models.
Using GA4 to measure paid media does not make the advertising itself free.
Display & Video 360, Search Ads 360 and other enterprise products can also have separate contracts.
Keep analytics licensing separate from media and activation spend in procurement.
Standard versus 360 break-even thinking
There is no simple public seat-count threshold because Analytics 360 is driven by event volume, limits and enterprise requirements rather than named users.
The strongest upgrade cases involve very high event volume, larger export needs, long event-level retention, unsampled exploration capacity or service-level requirements.
Many organizations can remain on Standard while using BigQuery for advanced analysis.
Request a 360 quote only after quantifying the specific Standard limits that are constraining the team.
GA4 versus Mixpanel
Mixpanel has a permanent Free plan with up to one million events per month and unlimited seats, while its Growth plan scales with event volume.
Mixpanel is optimized more directly for product behavior, funnels, retention, Session Replay and experimentation.
GA4 is stronger for Google advertising, acquisition and general website measurement.
Many teams use both rather than treating them as exact replacements.
GA4 versus Amplitude
Amplitude's current Free plan includes two million events per month and unlimited seats, while Plus starts at $0 for the first two million events and scales by event volume.
Growth and Enterprise are custom event-based plans.
Amplitude is more product-development oriented, combining analytics, replay, experimentation, guides and activation.
GA4 remains unmatched as a free Google marketing measurement layer.
GA4 versus Heap
Heap currently offers a Free plan for up to ten thousand monthly sessions, with Growth, Pro and Premier adding larger scale and features.
Heap differentiates through automatic behavioral capture and product analytics.
GA4 typically requires more intentional event instrumentation but integrates much more deeply with Google's advertising ecosystem.
Teams should compare implementation style as well as subscription price.
GA4 versus Matomo
Matomo On-Premise Community is free and open source, while Matomo Cloud uses paid traffic-based pricing.
Matomo differentiates through data ownership, privacy positioning and self-hosting control.
GA4 offers stronger Google Ads/Search Console integration and a very large ecosystem.
Privacy architecture can therefore matter more than headline software cost.
Pricing recommendation
Start with Standard GA4 unless a specific 360 limit has become operationally painful.
Use BigQuery for raw-event analysis when that is more economical than upgrading solely for reporting scale.
Build a 360 business case around events, retention, exports, API volume and service requirements.
Include implementation, privacy tooling, BigQuery and cloud infrastructure when calculating total cost.
Pricing analysis: Event taxonomy
GA4's flexibility depends on an intentional event taxonomy. Automatically collected events are useful, but business-critical measurement often requires custom event naming, parameters and key-event definitions.
Document naming conventions and ownership before developers, marketers and agencies begin adding overlapping events.
Pricing analysis: Consent implementation
Google Analytics can adjust measurement behavior through Consent Mode, but Consent Mode is not a consent banner and does not replace the organization's legal obligations.
Treat consent collection, regional configuration, tag behavior and policy review as part of the analytics implementation rather than a final compliance checkbox.
Pricing analysis: BigQuery cost planning
Standard GA4 can export raw events to BigQuery for free from the Analytics side, but BigQuery storage and query processing can still create Google Cloud charges.
Use partitioning, clustering and disciplined query patterns so the free GA4 subscription does not turn into avoidable warehouse cost.
Pricing analysis: Exploration sampling
Standard GA4 Explorations can sample when ad-hoc queries exceed the applicable event threshold, while Analytics 360 raises the threshold and provides unsampled exploration capacity.
For decision-critical high-volume analysis, compare the Exploration result with the BigQuery raw export or move to 360 when enterprise limits justify it.
Pricing analysis: Retention planning
GA4's user- and event-level retention setting affects Explorations and certain non-aggregated analyses rather than all standard reports.
Choose the retention period before long-running behavioral studies begin, and export raw data to BigQuery when the organization needs durable event-level history beyond the native limit.
Pricing analysis: Attribution governance
GA4 connects measurement closely with Google Ads and other Google Marketing Platform products, but attribution outputs still depend on tagging, identity, consent and model configuration.
Document which attribution view the business uses so campaign teams do not compare incompatible numbers across tools.
Pricing analysis: Implementation QA
A free analytics license does not make implementation free. Incorrect tags, duplicate events, missing consent signals, broken cross-domain tracking and inconsistent key events can undermine every report.
Maintain a QA checklist and validate DebugView, realtime events and BigQuery exports after major site or app releases.
Pricing analysis: Data ownership
Organizations should decide which events, user properties and advertising signals are genuinely needed rather than collecting everything available.
A smaller governed schema is usually easier to maintain, explain and protect than an uncontrolled stream of custom events.
Pricing analysis: 360 decision
Analytics 360 is best justified by measurable needs such as higher limits, longer retention, unsampled exploration capacity, very large BigQuery exports or enterprise service requirements.
Do not upgrade merely because the free interface feels complicated; implementation quality is usually a bigger factor than the license tier.
Pricing analysis: Decision framework
Compare GA4 and alternatives on acquisition analytics, product behavior, privacy model, data ownership, session replay, experimentation, warehouse access and total implementation cost.
The right analytics stack may combine GA4 for advertising attribution with another product for product analytics or privacy-first measurement.
Pricing analysis: Event taxonomy
GA4's flexibility depends on an intentional event taxonomy. Automatically collected events are useful, but business-critical measurement often requires custom event naming, parameters and key-event definitions.
Document naming conventions and ownership before developers, marketers and agencies begin adding overlapping events.
Pricing analysis: Consent implementation
Google Analytics can adjust measurement behavior through Consent Mode, but Consent Mode is not a consent banner and does not replace the organization's legal obligations.
Treat consent collection, regional configuration, tag behavior and policy review as part of the analytics implementation rather than a final compliance checkbox.
Pricing analysis: BigQuery cost planning
Standard GA4 can export raw events to BigQuery for free from the Analytics side, but BigQuery storage and query processing can still create Google Cloud charges.
Use partitioning, clustering and disciplined query patterns so the free GA4 subscription does not turn into avoidable warehouse cost.
Pricing analysis: Exploration sampling
Standard GA4 Explorations can sample when ad-hoc queries exceed the applicable event threshold, while Analytics 360 raises the threshold and provides unsampled exploration capacity.
For decision-critical high-volume analysis, compare the Exploration result with the BigQuery raw export or move to 360 when enterprise limits justify it.
Pricing analysis: Retention planning
GA4's user- and event-level retention setting affects Explorations and certain non-aggregated analyses rather than all standard reports.
Choose the retention period before long-running behavioral studies begin, and export raw data to BigQuery when the organization needs durable event-level history beyond the native limit.
Pricing analysis: Attribution governance
GA4 connects measurement closely with Google Ads and other Google Marketing Platform products, but attribution outputs still depend on tagging, identity, consent and model configuration.
Document which attribution view the business uses so campaign teams do not compare incompatible numbers across tools.
| Option | Analytics subscription price | Key limits / positioning | Important extra costs |
|---|---|---|---|
| GA4 Standard | $0 | 14-month max applicable retention; 10M-event Exploration threshold; 1M daily BigQuery events | BigQuery, implementation, CMP, server-side tagging, consulting |
| Analytics 360 | Custom contract | Up to 50-month retention; 1B-event Exploration threshold; unsampled explorations; up to 20B daily BigQuery events | Fixed base + event-volume billing, implementation, BigQuery/cloud |
| BigQuery | Separate Google Cloud pricing | Raw GA4 event analysis and long-term data | Storage/query compute beyond applicable free allowances |
| Consent/implementation stack | Varies | CMP, tagging, server-side infrastructure, QA | Vendor/cloud/consulting costs |
Pros
- True $0 Standard tier
- No user-seat fees
- BigQuery export included
- Clear Standard limits
- Enterprise 360 upgrade path
Cons
- 360 dollar price not public
- Implementation can be expensive
- BigQuery separate
- Consent tooling separate
- Event-volume billing on 360
Who should use this
- Standard for most websites/apps
- 360 for genuinely high-volume or enterprise-limit cases
- BigQuery for teams needing raw event analysis
Who should avoid this
- Buyers assuming the free license eliminates implementation, privacy or data-warehouse costs
Expert tip
— Toollers editorial team