Your GA4 Data Disappears After 14 Months. Here's What Google Won't Tell You.

A screenshot of the Google Analytics 4 Admin Data Retention page. The Event data retention dropdown is open, showing 2 months currently selected (with a checkmark) and 14 months as the other option. A helper line reads Applies to Explorations only, Standard reports are unaffected, and a Reset user data on new activity toggle is on. An annotation reads 'The default is 2 months. Not 14. If you never opened this screen, GA4 has deleted your Exploration data every 60 days since setup.' A second annotation reads '14 months is the maximum on free GA4. Changing it is not retroactive. The window starts the day you change it.' A third annotation reads 'This only affects Explorations: funnels, paths, cohorts, segments. Standard reports keep aggregated data regardless.'
Show article contentsHide article contents
  1. What GA4's data retention setting actually controls
  2. The timeline: how your data disappeared
  3. The silent failure: GA4 doesn't tell you data is missing
  4. Why 14 months breaks real analysis
  5. The BigQuery "solution" and what it actually costs
  6. The five other workarounds (and why they fall short)
  7. GA4 360: pay $50,000+/year for 50 months
  8. The GDPR defense doesn't hold up
  9. What every other analytics tool offers
  10. How to stop losing data today
  11. Frequently asked questions

You've heard GA4 has a 14-month data retention limit. Change one setting, the advice goes, and you're fine. You're not.

That setting only touches Explorations. It isn't retroactive. And the official fix for keeping older data is SQL, a Google Cloud account, and a bill bigger than the analytics tools that keep your data forever. Here's the full picture, including the part the one-setting articles skip: the real default isn't 14 months at all.

Key Takeaways
  • GA4's data retention limit only affects Explorations (funnels, path analysis, segments). Standard reports keep aggregated data indefinitely. Most articles fail to explain this distinction.
  • The default retention is 2 months. If you never changed the setting, you have been losing event-level data every 60 days since setup. Changing it to 14 months is not retroactive.
  • Universal Analytics offered unlimited retention for free. GA4 reduced this to 14 months with no public explanation. GA4 360 extends to 50 months starting at $50,000/year.
  • BigQuery, the official workaround, requires intermediate SQL, a Google Cloud account, and is not retroactive. Data that already expired is gone permanently.
  • Privacy-first analytics tools offer years or unlimited data retention (Fathom and Pirsch: unlimited, Plausible: 3-5 years, Clickport: unlimited) because they don't collect personal data.

What GA4's data retention setting actually controls

The retention limit hits Explorations only. Not your whole account. Not your standard reports. Just the Explore section: funnels, path analysis, segment comparisons, cohort analysis, and free-form custom reports.

Standard reports (the left-nav Reports section: Acquisition, Engagement, Monetization, Tech) run on pre-aggregated daily tables with every user identifier stripped out. Those tables are not subject to the retention limit. They persist for as long as your property exists. Last year's traffic overview is still right there.

Google's own help page muddies this. It says "data retention controls how long user-level and event-level data is stored by Analytics." Sounds like everything. It isn't. It's the raw, unaggregated event rows behind Explorations. And that's the part that matters, because Explorations is where the real work happens: custom funnels, user journeys, segment comparisons, the detailed breakdowns standard reports can't touch.

WHAT THE RETENTION LIMIT AFFECTS
Deleted after 14 months
Raw event rows (page_view, scroll, click)
User IDs and client IDs
Advertising IDs (AAID, IDFA)
Custom Explorations data
Funnel and path analysis data
Segment comparisons
Cohort analysis
Kept indefinitely
Standard report data (Acquisition, Engagement)
Pre-aggregated daily summaries
Overall traffic trends
Conversion totals
GA4 Data API responses
Looker Studio via native connector
BigQuery exports (if enabled)
Source: Google Analytics Help: Data Retention

There's another catch most articles skip. Age, gender, and interest data is always capped at 2 months, whatever your retention setting says. Google Signals data tops out at 26 months even on GA4 360. These limits are hard-coded. No setting touches them.

Now the part that should bother you most. The default retention is 2 months. Not 14. Two. Set up GA4, never open Admin > Data Settings > Data Retention, and you've been losing every scrap of Exploration data every 60 days since day one. No notification. No warning during setup. No prompt to change it.

See your own number
Put a percentage on the total gap.
Retention is one of four things quietly shrinking your GA4 numbers. The free estimator folds it into the internal-limits line, next to thresholding, cardinality, and (not set), and shows the total loss for your site. No signup.
Estimate your GA4 data loss →

As Julius Fedorovicius, founder of Analytics Mania, puts it: the 2-month default is one of the most common GA4 configuration mistakes, and "this change does not apply to historic data. Your 14 months start when you change that setting."

The timeline: how your data disappeared

The retention limit existed from GA4's launch in October 2020. But it didn't become a crisis until Google forced everyone onto GA4 by shutting down Universal Analytics.

THE DATA RETENTION TIMELINE
Oct 2020
GA4 launches with 2-month default retention and 14-month maximum. Universal Analytics offered unlimited retention for free.
Mar 2022
Google announces UA will be sunset July 1, 2023. The clock starts for the roughly 28 million websites using Google Analytics.
Jul 2023
UA stops processing data. Sites that waited until the deadline start collecting GA4 data from scratch. Years of UA history are frozen, read-only.
Sep 2023
Sites that left the 2-month default start losing GA4 Exploration data. Most don't notice.
Jul 2024
Google permanently deletes all Universal Analytics data. Over a decade of history for long-time users, gone. No further access, no API, no recovery.
Sep 2024
Sites that migrated in July 2023 with 14-month retention start losing their first GA4 data from Explorations. The wall hits.
Apr 2026
Today. Anyone who migrated in mid-2023 with the 2-month default has lost 32+ months of Exploration data. Even with 14-month retention, everything before February 2025 is gone.
Sources: Search Engine Land, InfoTrust

Universal Analytics had an option called "Do not automatically expire." You picked it once and your data stayed forever. For free. GA4 took that option away. Google has never publicly explained why. It's one of many reasons people are walking away from GA4, and retention is far from the worst of them. GA4 also drops data it never shows you, reports metrics that mislead, and fills your reports with unexplained "(not set)" rows.

The silent failure: GA4 doesn't tell you data is missing

This is the part that should worry you most. Open an Exploration, pick a date range that reaches back past your retention window, and GA4 hands you a report. No error. No warning banner. No asterisk. It shows you the data it still has and quietly leaves out the rest.

A screenshot of a Google Analytics 4 free-form Exploration with a Line chart of Active users over time and a Date range of Jan 1, 2024 to Apr 30, 2026. The plotted line is flat at zero from January 2024 until about February 2025, then rises to normal traffic for the rest of the range. There is no warning banner anywhere. An annotation reads 'Date range starts Jan 2024. But Exploration data only exists for the last 14 months. Everything before February 2025 was deleted.' A second annotation reads 'GA4 accepted the full range and returned a chart. No error, no warning, no asterisk.' A third annotation reads 'This is the silent failure. Partial data presented as complete. A year-over-year comparison here is quietly wrong.'
A GA4 Exploration with a date range starting January 2024. The data only begins in February 2025, fourteen months back, and GA4 shows no warning. The empty left half is silently deleted data.

Say you compare holiday 2025 to holiday 2024 in a custom Exploration. You get a report. The numbers look normal. But if the November and December 2024 rows have already been purged, half your comparison is missing and nothing on the screen tells you. Seresa.io documented this exact thing with WooCommerce stores. Teams walked into meetings with "38% year-over-year revenue growth" built on data that was partially deleted, incomparable across UA and GA4, or silently incomplete. They had no idea.

Warning
GA4 Explorations return incomplete data without any visual indicator. If your date range extends beyond the retention window, you get partial results presented as complete. There is no error message, no data quality flag, and no way to tell from the report itself that rows are missing.

On Google's own support forums, people have set retention to 14 months and still see only 2 months in Explorations. Google's documentation says raising the retention period applies to data already collected, so whatever is still in your account gets the longer window. The catch is the word "still." Anything already purged under the 2-month default is gone for good. Wait a few months to change the setting and you never get that data back.

One commenter on Analytics Mania said it plainly: "I set the data retention settings for both event and user data to 14 months as soon as I installed GA4. Two years later and still only 90 days' data is available in the Explorations." He did everything right and still lost most of it.

Retention is one of four things that quietly shrink your GA4 numbers. The GA4 Data Loss Estimator folds it into the "internal limits" line, next to thresholding, cardinality, and "(not set)," and puts a percentage on the total gap.

Why 14 months breaks real analysis

Fourteen months sounds like plenty for a year-over-year comparison. It isn't. The math is tight, and in real work it falls apart.

1
Black Friday comparison. That's all you get.
With 14-month retention, you have exactly one year-over-year comparison
in Explorations before the prior year's data expires.

Seasonal businesses get one shot at comparing this year to last year in Explorations. An online store looking at Black Friday 2025 in January 2026 still has the data. By October 2026, that Black Friday 2025 data starts expiring. The second comparison never happens.

B2B companies with long sales cycles never had a chance with 14-month retention. The B2B Stack documented that one enterprise buying cycle can throw off 60-100 website sessions spread across months or years. By the time the deal closes, the first touchpoints are already deleted. You see the bottom of the funnel and none of the top.

Lifetime value stops working past the retention window. GA4 has a metric called User Lifetime, but it only counts the date range you select, not the real lifetime. A subscription business wants to know if a customer it won in January is still active in March of the following year. The Exploration data that answers that is gone.

SEO measurement runs on 6-12 month cycles. You rework your site, target a keyword cluster, and then you wait. With 14-month retention in Explorations, you get barely one cycle before the "before" data expires. On the default 2-month setting, you can't do real SEO analysis in Explorations at all.

Investor reporting needs multi-year growth lines. A startup that wants to show a 3-year growth curve can't build it from GA4 Explorations. Standard reports do survive the retention window, but they only hold aggregates. They miss the cohorts, segments, and funnel steps that make a growth number believable.

The BigQuery "solution" and what it actually costs

Google's official answer for keeping data past 14 months is BigQuery export. Every article on GA4 retention names it. Almost none tell you what it takes to use.

BigQuery export ships your raw GA4 event data to Google's data warehouse. Each day it writes a new table with the day before's events. It's free for every GA4 property. Sounds simple. It is not.

The schema is deeply nested. You don't get clean, flat tables. event_params, user_properties, and items arrive as nested RECORD arrays. Want one page URL? You write an UNNEST subquery. The value sits in one of four columns: string_value, int_value, float_value, double_value, and you have to know which one holds the parameter you're after. Every "simple" metric turns into SQL that would slow down a mid-level analyst.

A screenshot of the Google Cloud BigQuery console showing a GA4 export dataset with date-sharded events tables. The query editor uses UNNEST(event_params) with a WHERE key = page_location subquery to extract a page URL. The Schema panel below shows event_params as a RECORD, REPEATED field with nested children value.string_value, value.int_value, value.float_value, and value.double_value. An annotation reads 'event_params is a nested array. Pulling one page URL needs an UNNEST subquery and the right value column out of four.' A second annotation reads 'Google official workaround for keeping data past 14 months. Every simple metric is a query like this.' A third annotation reads 'There is no session table. Bounce rate and channel attribution must be rebuilt with window functions. And the export is not retroactive: it starts the day you enable it.'
Google's recommended way to keep data past 14 months: BigQuery. event_params is a nested RECORD array, so pulling a single page URL takes an UNNEST subquery. There is no session table, and the export only captures data from the day you switch it on.

There is no session table. GA4 exports events and nothing else. Bounce rate, session duration, channel attribution: none of them exist until you rebuild sessions by hand from user_pseudo_id, ga_session_id, and window functions. That's multi-step SQL with incremental builds. Things a session-based tool gives you on the first screen.

It is not retroactive. This is the part that catches people. BigQuery export starts the day you turn it on. Anything that already aged out of GA4's window is gone, and there is no backfill. Find BigQuery in 2026 with a property that's been running since 2023 on the 2-month default, and those 2+ years of event data are not coming back.

The free tier has a trap. Use BigQuery's free sandbox with no billing account, and every table defaults to a 60-day expiration. So the workaround for losing data after 14 months can drop it after 60 days instead. Add a billing account later and it doesn't fix the tables you already have. You go set each one's expiry by hand.

The real cost is not money. It's skill. BigQuery's free tier covers most small and mid-size sites. For a property under 1 million pageviews a month, storage and query costs round to nothing. What you pay in is SQL, Google Cloud setup, and a pipeline someone has to keep running.

Pick the analysis you need and see where it still works once your retention window passes:

WHICH REPORTS STILL WORK?
Select the type of analysis you need. The result shows where it works after data ages past the retention window.
Traffic overview
Standard Reports
Works (all time)
Explorations
Works (all time)
BigQuery
Works (if enabled)
Basic traffic numbers (sessions, users, pageviews) are aggregated and survive the retention limit. You can see overall trends indefinitely in Standard Reports.

Jack Novorr, Head of Data at Cypress North, put it plainly: "GA4 only retains data within Explore reports for 14 months before it disappears forever." Even paying your way up to GA4 360, he says, "costs upwards of $50,000 per year and still limits you to just 50 months of data retention." So you pay enterprise money and you're still on a clock.

For most small and mid-size businesses, BigQuery isn't a real answer. It wants a Google Cloud account, SQL skills, and someone to babysit the pipeline. The marketing team that needs last year's funnel is not the team writing UNNEST queries against nested RECORD arrays.

The five other workarounds (and why they fall short)

BigQuery isn't the only road. The trouble is, not one of the others fully fixes the problem.

Workaround Cost Skill level Data preserved Main gotcha
BigQuery export Free-$100+/mo Advanced Everything (raw events) Not retroactive. SQL required.
Looker Studio exports Free Beginner Aggregated only Can't re-slice later. 5M cell limit.
Third-party tools (OWOX, etc.) $600-800/yr Intermediate Aggregated Paying for what BigQuery does cheaper.
Manual CSV exports Free Beginner Minimal (5,000 row cap) Nobody does this consistently.
GA4 API scheduled pulls Free Advanced Aggregated Requires dev work. Quota limits. Sampling.
Second analytics tool $9-69/mo Beginner Everything (going forward) Won't recover past GA4 data.

The pattern is hard to miss. The workarounds that keep your raw data need a technical person. The ones a beginner can set up only keep aggregated snapshots. One option keeps everything and stays beginner-simple: run a separate analytics tool next to GA4.

GA4 360: pay $50,000+/year for 50 months

GA4 360 is Google's enterprise tier. It stretches event-level retention to 26, 38, or 50 months, whichever you pick. It starts at $50,000 a year for 25 million events a month and climbs from there with your volume. Bigger setups pay a lot more.

$50K+/yr
For 50 months of Exploration data. Starting price, scaling with event volume.
Standard reports are already unlimited on the free tier. You're paying for Explorations.

Even at the 50-month ceiling, demographics data still caps at 2 months and Google Signals at 26 months. Some of your data types stay hard-capped no matter how much you spend.

For comparison, the analytics tools that give you unlimited retention on every plan start at $6-19 a month.

The GDPR defense doesn't hold up

Google calls the retention limit a privacy feature. The argument goes like this: GDPR's storage limitation principle, Article 5(1)(e), says you can't keep personal data longer than you need to.

That's true on paper and misleading in practice. The storage limitation only applies to data "kept in a form which permits identification of data subjects." Anonymize or aggregate the data for real and it drops out of GDPR's scope entirely. Even for personal data, Article 5(1)(e) lets you keep it past the usual necessity period for statistical purposes, as long as you follow the safeguards in Article 89(1). In other words, the law does not hand you a 14-month number.

Key insight
GDPR does not set a specific time limit for analytics data. The "necessary" threshold is context-dependent. No EU Data Protection Authority has ruled that 14 months is the legally mandated ceiling. The 14-month limit is Google's product decision, not a legal requirement.

The privacy-first tools prove the point. Fathom, Pirsch, and Clickport never collect personal data and never build a persistent identifier. With no personal data in the set, the storage limitation principle has nothing to bite on, so these tools keep data for as long as you like. Plausible works the same way and holds data for 3-5 years depending on the plan.

Now look at the timing. GA4 cut retention from unlimited under UA to 14 months. The fix it points you to is BigQuery, Google's paid data warehouse. The tier that buys back 50 months is GA4 360 at $50,000 a year. Whether the GDPR framing is real privacy or handy cover for selling you the extension is a question analysts have raised in the open.

What every other analytics tool offers

Unlimited retention isn't a premium add-on. For most analytics tools outside Google, it's just how they work out of the box.

Tool Retention Starting price Cookies
GA4 Free 14 months (Explorations only) Free Yes
GA4 360 50 months max $50,000+/yr Yes
Plausible 3-5 years $9/mo No
Fathom Unlimited $15/mo No
Pirsch Unlimited $6/mo No
Matomo (self-hosted) Unlimited Free (hosting cost) Optional
Clickport Unlimited EUR 9/mo No

Privacy-first tools can offer unlimited retention because of how they're built, not out of kindness. They don't collect personal data. No cookies, no user IDs, no device fingerprints. With nothing in the set that can point back to a person, GDPR's storage limitation has nothing to act on. The data is aggregated the moment it lands, so there's nothing to age out and delete.

GA4 collects personal data by design: client IDs, cookies, advertising identifiers. That's what creates the GDPR obligation to limit retention in the first place. Then GA4 turns around and charges you up to $150,000 a year to push that limit out. Tools that never collect personal data sidestep the whole thing.

How to stop losing data today

If you're on GA4 and you want to hold onto your history, do these three things, most urgent first.

THREE STEPS TO STOP LOSING DATA
1
Change retention to 14 months right now
Admin > Data Settings > Data Retention. Switch from 2 months to 14 months. Turn on "Reset user data on new activity." Takes 30 seconds. Not retroactive, but stops the bleeding.
2
Enable BigQuery export today
Even if you can't write SQL yet, enable the free daily export now. It starts capturing raw data from today. Future-you will thank present-you. Admin > Product Links > BigQuery.
3
Add an analytics tool that keeps data forever
If BigQuery isn't realistic for your team, add a second analytics tool with unlimited retention. One script tag, no SQL, no Google Cloud account. You get a permanent record of your traffic from day one.

Step 3 is the easiest one to live with. If your team has no SQL and no appetite for a Google Cloud project, a tool like Clickport gives you unlimited retention, no cookies, no consent banner, and a dashboard you read without writing a single query. Your data is yours. It doesn't expire on you, and it doesn't quietly disappear after 14 months.

Start your free 30-day trial. No credit card required.

Frequently asked questions

Why do I only see 2 months of data in GA4 Explorations?

Because 2 months is the default, and you never changed it. GA4 has been deleting your Exploration data every 60 days the whole time. Fix it in Admin > Data Settings > Data Retention. The change isn't retroactive, so you'll have to wait for new data to build up.

Does GA4 data retention affect standard reports?

No. Standard reports (Acquisition, Engagement, Monetization, Tech) run on pre-aggregated tables that the retention limit never touches. They stick around for as long as your property does. Only Explorations get cut.

Is changing GA4 data retention to 14 months retroactive?

No. Whatever was already deleted under the 2-month default is gone for good. The 14-month window starts the day you flip the setting. So you won't have a full 14 months of data until 14 months after you make the change.

Does GA4 data retention affect BigQuery exports?

No. Once your data lands in BigQuery, it lives outside GA4's retention system. But BigQuery export isn't retroactive either. It only catches data from the day you switch it on.

What is the maximum data retention period in GA4?

14 months on free properties. GA4 360, the enterprise tier, buys you 26, 38, or 50 months for $50,000-$150,000+ a year. None of these limits touch standard reports, on any tier.

How long does GA4 keep age, gender, and interest data?

2 months, full stop. Your retention setting doesn't change it, and neither does paying for GA4 360. It's hard-coded.

Can I keep GA4 data forever?

Not inside GA4. The most it holds is 14 months on free or 50 months on 360. To keep raw event data for good, you export to BigQuery and take on the SQL. Or you run an analytics tool that gives you unlimited retention by default and skip all of it.

David Karpik

David Karpik

Founder of Clickport Analytics
Building privacy-focused analytics for website owners who respect their visitors.

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