{"id":29378,"date":"2026-05-29T14:15:46","date_gmt":"2026-05-29T13:15:46","guid":{"rendered":"https:\/\/www.nexoya.com\/?post_type=blog_posts&p=29378"},"modified":"2026-05-29T14:15:47","modified_gmt":"2026-05-29T13:15:47","slug":"google-deletes-your-granular-ad-data","status":"publish","type":"blog_posts","link":"https:\/\/www.nexoya.com\/it\/blog\/google-deletes-your-granular-ad-data\/","title":{"rendered":"Google Ads deletes your granular ad data at 37 months on 1 June 26. The export is the easy part."},"content":{"rendered":"\n

TL;DR: From 1 June 2026 on, Google Ads keeps your hourly, daily and weekly data only for 37 months, and reach and frequency for 3 years. Monthly and yearly aggregates survive 11 years, but those are useless for modeling future measurement. So the data your model needs most is the google ads data that disappears first. If your regression-based attribution<\/a>, econometric model, or media mix model reads its history from Google, you have days, not months. Export steps are below. But the export isn’t the real fix.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

What’s actually changing<\/h2>\n\n\n\n

Third-party cookies. iOS 14. The Privacy Sandbox. And now a quiet 37-month delete clock on Google Ads. Every 18 months or so, a platform narrows what you’re allowed to measure and store, reasons are various but the impact is real. The result is always the same: the ground under your measurement moves, and your models wobble with it \ud83d\ude09<\/p>\n\n\n\n

But this announcement is easy to underreact to, because delete sounds like a backup problem. But it isn’t, it’s a modelling problem even if you don’t model yet. <\/p>\n\n\n\n

Straight from Googles updated data retention policy<\/a>, as of 1 June 2026:<\/p>\n\n\n\n