Is Alex Ignatenko - GA4-BigQuery Cheat Sheet + Chrome Extension worth it if you’re shopping in Business & Money?
You know the specific kind of pain that comes with GA4 exports. You have the data, you have BigQuery, and you have a deadline to show the client or the C-suite why last month’s traffic spike actually converted. But you are stuck staring at a blank SQL editor, trying to remember if you need to join the events_ table or the sessions_ table, and wondering how to properly deduplicate user pseudo-IDs without breaking your session logic. If you spend your days in marketing analytics, this gap between “having data” and “getting insights” is where hours disappear. Alex Ignatenko’s GA4-BigQuery Cheat Sheet + Chrome Extension is built to close that gap, handing you a pre-written library of the exact queries he runs daily to pull actionable numbers from raw GA4 exports.
Quick answer
| Best for | Analysts, growth marketers, and founders who use BigQuery for GA4 but want to skip the syntax debugging and jump straight to insight. |
| Skip if | You are brand new to SQL and need a tutorial on what a SELECT statement is, or you do not use BigQuery for your analytics stack. |
| Price | $69.9 |
| Format | 70+ SQL query files + Chrome Extension |
| One-line take | A ready-to-run library of daily-driver GA4 queries that saves you from rewriting the same attribution and funnel logic from scratch. |
What you’re actually buying
At $69.9, you are not just buying a PDF list of formulas; you are buying a working toolkit that covers the full spectrum of digital analytics. The core of the pack is a comprehensive set of SQL files, each named for the specific business question it answers. Instead of generic examples, you get targeted scripts like ab_test_z_score for statistical significance checks, churn_rate_cohort for retention analysis, and custom_attribution_model for when the default GA4 attribution model doesn’t tell the whole story. (Alex Ignatenko - GA4-BigQuery)
The depth here is what makes it feel less like a cheat sheet and more like a senior analyst’s notebook. You get the plumbing work that usually eats up the first hour of a project, such as sessions_rebuild and smart_deduplication, which are critical for cleaning up messy GA4 data before you even start calculating metrics. On top of that, the pack includes advanced logic for e-commerce and user behavior, including ecommerce_funnel, clv_by_cohort (Customer Lifetime Value), and time_to_purchase. These are the queries that turn raw event logs into the revenue and retention metrics stakeholders actually care about. (Alex Ignatenko - GA4-BigQuery)
Beyond the SQL files, the product includes a Chrome Extension. While the SQL library is the heavy lifter, the extension is designed to streamline how you interact with your data environment, reducing the friction of copying, pasting, and managing these queries in your browser. For a price point under $70, getting a complete stack of 70+ distinct, named queries plus a utility tool is a high-value proposition for anyone whose job involves querying BigQuery regularly. You can review the full list of included queries and the extension details on the GA4-BigQuery product page to see if the specific metrics you need are covered.
Why it’s on our radar
This product stands out because it solves a very specific, high-frequency problem: the repetitive nature of writing standard analytics queries. Most SQL resources for GA4 are either too basic (teaching you syntax) or too abstract (showing complex theory). This sits in the middle: it is a collection of “daily drivers.” The seller, Alex Ignatenko, notes that these are the queries he uses on a daily basis to get insights from his own GA4 exports, which suggests they are battle-tested in real-world scenarios rather than just theoretical exercises.
The inclusion of both attribution models (first_click, last_click, linear_attribution) and technical data cleaning scripts (ga4_crm_reconciliation, custom_params_decode) makes this a versatile tool. It appeals to the analyst who needs to prove the ROI of a campaign and the engineer who needs to fix a data pipeline issue. It is a rare pack that bridges the gap between technical data engineering and business performance marketing. (Alex Ignatenko - GA4-BigQuery)
What actually matters
Before you buy, check your current workflow to see if this pack fills a gap or duplicates what you already have. (Alex Ignatenko - GA4-BigQuery)
- Do you already have a query library? If you have a Notion page or a GitHub repo with 10 of your favorite GA4 queries, this pack will likely add the other 60 you haven’t written yet. If you are starting from zero, this is a massive head start. (Alex Ignatenko - GA4-BigQuery)
- Check the query complexity. Some of the listed queries, like
ga4_last_click_linear_attribution, are complex. Ensure you are comfortable reading and modifying SQL if the default parameters don’t fit your specific data structure. The files are a starting point, not a black box. (Alex Ignatenko - GA4-BigQuery) - Verify the Chrome Extension compatibility. Since the product includes a Chrome Extension, confirm that your browser environment allows the installation and that it integrates smoothly with how you access BigQuery. The extension details on the product page should clarify the specific use case for the tool.
Mid-check
If you are tired of Googling “how to calculate AOV in BigQuery GA4” every single week, this is the tool to stop that cycle. (Alex Ignatenko - GA4-BigQuery)
FAQ
Is this just a PDF with code snippets? No, it includes access to all the SQL files, which means you can download, copy, and run them directly in your BigQuery environment. It is a functional toolkit, not just a reference document. You can see the file formats and access details on the GA4-BigQuery listing.
Do I need to know how to write SQL to use this? You should be comfortable with basic SQL concepts. The queries are ready to run, but you will likely need to adjust table names, date ranges, and specific parameters to match your own GA4 property and BigQuery project. It is designed for practitioners, not absolute beginners. (Alex Ignatenko - GA4-BigQuery)
Does this include the Marketing Attribution Course? The listing notes that students of the Marketing Attribution Course get this cheat sheet for free. If you are buying this product directly, you are getting the cheat sheet and extension. If you are looking for the full course, this is a standalone component of that broader education. (Alex Ignatenko - GA4-BigQuery)
Bottom line
If your job involves pulling numbers from BigQuery to make marketing decisions, the time you spend writing the same SELECT statements over and over is time you are losing. The GA4-BigQuery Cheat Sheet + Chrome Extension gives you a head start with a library of 70+ specific, named queries that cover everything from basic session metrics to complex attribution models. It is a practical, high-utility tool for the modern data marketer who needs speed and accuracy.