GA4 Data Retention Settings: What They Mean and How to Set Them

By Emily Redmond, Data Analyst at Emilytics · April 2026

TL;DR: GA4 keeps user-level data for 2 months by default. You can extend to 14 months, but detailed dimensions get dropped. For long-term analysis, export to BigQuery (free).

Data retention is unglamorous, but it affects what analysis is possible. Do you want to see user behavior from 6 months ago? You need to understand data retention first.

What Is Data Retention?

User-level data: Event logs for each individual user (what they clicked, when they clicked, etc.). This is detailed.

Aggregated data: Summary metrics (total users, total conversions) without individual user details. This is high-level.

GA4 stores user-level data for a limited time. After that, it gets aggregated (you lose detail). This is why some analyses become impossible after a certain date.

Default Data Retention

GA4's default settings:

Translation: After 2 months, you can't filter by specific users or detailed dimensions. You can still see totals (e.g., "100 users from New York"), but not breakdowns (e.g., "Which users from New York converted?").

Why the Limit?

1. Privacy: Google's philosophy is to delete old, detailed user data to protect privacy
2. Cost: Storing massive amounts of detailed data is expensive; aggregation reduces storage costs
3. Compliance: GDPR and other privacy laws recommend deleting personal data after it's no longer needed

Changing Data Retention

You can extend user-level data retention from 2 months to 14 months. Here's how:

1. Go to GA4 → Admin
2. Under "Data collection and modification," click Data settings
3. Find "Data retention"
4. Change from "2 months" to "14 months"
5. Save

Cost: This might affect your GA4 costs if you're on an enterprise plan. For free GA4, there's no direct cost, but there are hit limits that might apply.

What You Can and Can't Do at Different Retention Periods

With 2-Month Retention (Default)

Can do:

• View last 60 days of data in detail
• Filter by custom dimensions, user properties
• Segment by audience, traffic source, device
• Build audiences from recent user behavior
• Create Explorations with detailed dimensions

Can't do:

• Analyze user journeys beyond 2 months
• Look at 6-month cohorts (you can start them, but only see the first 2 months)
• Build audiences based on behavior >60 days ago
• See detailed landing pages or traffic sources from 3+ months ago

With 14-Month Retention (Extended)

Can do:

• All of the above, but for 14 months
• Build audiences from behavior 6+ months ago
• Analyze seasonal patterns (last year vs. this year)
• See detailed user journeys over a longer timeframe

Can't do:

• Query data older than 14 months in GA4
• See lifetime user behavior for users older than 14 months

When 2 Months Isn't Enough

Use Case 1: Cohort Analysis

You want to compare users who signed up in January vs. March. With 2-month retention, you can only see users from the last 2 months.

Solution: Extend to 14 months, or export to BigQuery.

Use Case 2: Long Sales Cycles

B2B companies often have 3-6 month sales cycles. A user's first visit (awareness) and last click (conversion) might be 5+ months apart.

With 2-month retention, you lose the detail of the early touchpoints.

Solution: Extend to 14 months, or use BigQuery for full historical analysis.

Use Case 3: Seasonal Analysis

You want to compare "Black Friday 2025 traffic" with "Black Friday 2024 traffic."

2-month retention won't let you see detailed 2024 data.

Solution: Extend to 14 months, or export to BigQuery.

BigQuery: The Better Solution

GA4 exports your raw event data to BigQuery (Google's data warehouse). BigQuery retention is unlimited.

Why BigQuery?

• No retention limits: Access all historical data
• Raw events: Every event, every parameter, every user
• SQL queries: Analyze exactly what you want
• Cost-effective: Free up to 1TB/month (usually enough for most businesses)

Setting Up BigQuery Export

1. Go to GA4 → Admin → BigQuery links
2. Click Link BigQuery project
3. Select your Google Cloud project (or create one)
4. Choose which data to export (usually "Google Analytics 4 Events")
5. Confirm

GA4 starts exporting data. It takes a few hours to backfill, then exports daily.

Using BigQuery Data

You need SQL skills or a BI tool (Looker, Tableau, etc.). Example query:

SELECT
  user_id,
  event_date,
  event_name,
  COUNT(*) as event_count
FROM `project.dataset.events_*`
WHERE event_date BETWEEN '2025-01-01' AND '2025-12-31'
GROUP BY user_id, event_date, event_name
ORDER BY event_count DESC

This gets event counts by user and date for the entire year—something impossible in GA4 with 2-month retention.

💡 Emily's take: Every serious analytics team should be exporting to BigQuery. The setup takes 15 minutes, and suddenly you have access to all your data forever. I've seen teams make better decisions because they could analyze 2-year patterns. GA4's interface is good for quick checks, but BigQuery is where the real work happens.

Choosing Your Retention Strategy

Cost Implications

GA4 Free Tier

• 2-month retention: Free
• 14-month retention: Free (but counted against hit limit)
• BigQuery export: Free (1TB/month standard)

GA4 360

• 2-month retention: Included
• 14-month retention: Included (no extra cost)
• BigQuery export: Included

No additional cost for extending retention in GA4 itself. The main cost is BigQuery queries (usually negligible—<$1/month for most teams).

Setting Up Retention for Your Needs

Step 1: Assess Your Analysis Needs

Ask:

• Do you analyze data older than 2 months?
• Do you have long sales cycles (>60 days)?
• Do you need to compare seasonal patterns?

If yes to any: extend to 14 months or use BigQuery.

Step 2: Change Retention (if needed)

1. Go to Admin → Data settings
2. Change "Data retention" to 14 months
3. Save

Step 3: Set Up BigQuery (Recommended)

1. Go to Admin → BigQuery links
2. Follow the setup wizard
3. Authorize GA4 to export to your BigQuery project

Once set up, you have unlimited data access forever.

Frequently Asked Questions

Q: Does extending retention slow down GA4? A: No. GA4's performance isn't affected. It's a backend setting.

Q: Can I change retention retroactively? A: No. If you had 2-month retention for 6 months, then switched to 14-month, you've lost the first 4 months of detailed data. Plan ahead.

Q: What happens to data older than the retention period? A: It's aggregated (not deleted). You can still see summary stats, but not detailed breakdowns.

Q: Does BigQuery export cost money? A: Queries cost money (~$6.25 per TB scanned), but the first 1TB/month is free. Most teams stay under that.

Q: Can I use BigQuery without extending GA4 retention? A: Yes. BigQuery is independent. You can have 2-month retention in GA4 and unlimited retention in BigQuery.

Q: How do I know if I need BigQuery? A: If you do any analysis older than 2 months, or if you want SQL-level control over your data, set it up.

The Bottom Line

2-month retention is fine for surface-level analysis. But if you're serious about understanding user behavior, trends, and long-term patterns, extend to 14 months or export to BigQuery.

BigQuery is the best long-term investment. It's free to set up and costs almost nothing to run. Plus, you own your data.

Configure your retention strategy now, before you need it. Changing it later means losing historical data.

Emily Redmond is a data analyst at Emilytics — the AI analytics agent that watches your GA4, Search Console, and Bing data around the clock so you never miss what matters. 8 years of experience helping founders and growth teams turn data noise into clear decisions. Say hi →