Google reversed an 11-year Google Ads data retention policy that was only 18 months old. From June 1, 2026, hourly, daily, and weekly Google Ads reporting data caps at 37 months. Queries beyond that window return a DateRangeError.INVALID_DATE error. WooCommerce stores running GA4 BigQuery exports face an additional risk most stores do not realize: a … Read more
Historical BigQuery event data compounds in value over time because questions about seasonality, cohort retention, customer lifetime value, and product lifecycle require 12-24 months of history to answer reliably. Last week’s dashboard shows velocity; two-year-old data shows pattern. Unlike code or content, historical event data cannot be recreated — if you didn’t capture it then, you can’t query it now. For WooCommerce stores running first-party tracking into BigQuery, every month of retained data widens an advantage competitors cannot buy back. The clock started on Day 1.
At 3 months of WooCommerce event data, you know what sold. At 12 months, you know what keeps selling. At 3 years, you know what to order before your customers ask for it. The difference isn’t the size of the dataset — it’s the category of question each threshold makes answerable. Some questions about your … Read more
When did your first WooCommerce customer buy from you? If that event is sitting in BigQuery right now — timestamped, attributed, queryable — you own something your competitors may never fully catch up to. If it isn’t, you’ve already lost something that no budget can replace. Time is the one dimension of data quality you … Read more
Most WooCommerce stores comparing year-over-year performance in GA4 are working with unreliable data. Universal Analytics shut down July 2023—any comparison crossing that date mixes two incompatible methodologies. GA4 deletes user-level data after 14 months by default, silently returning incomplete results without warning. Behavioral modeling retroactively changes historical numbers. The only authentic YoY baseline is your WooCommerce order database. Streaming to BigQuery now means having real, methodology-consistent comparisons in 2027 and beyond—not approximations versus approximations.
