GA4 tracking audit
Google Analytics and your store or CRM report different numbers
$2,500 flat2 weeks
Numbers you can make decisions on, from an analyst who did this in-house for close to 20 years
Someone rebuilds the numbers in a spreadsheet every Monday. GA4 says one thing and Shopify says another. Nobody can say which marketing pays for itself. Start here. Every price is on this page.
- Close to 20 years in in-house analytics roles
- Manager of Digital Analytics, then Senior Manager of Analytics
- SQL, BigQuery, Snowflake, Tableau, GA4, Looker Studio
How do you measure if AI is worth it?
You bought an AI tool. Now someone asks if it paid off, and you can't say. That isn't a character flaw. Nobody wrote down the starting number. The answer has three parts, and Raquel applies them to every build on this site.
01. Take the baseline before anything gets built
A baseline is a count you can repeat. How many intake forms a week? How long does each one take? How many get retyped, and how many errors reach a customer? The count comes from your own records and a short time study with the people who do the work. It never comes from a vendor's estimate. If you can't repeat the count in 30 days, it isn't a baseline yet.
02. Measure the same number again 30 days after launch
Thirty days in, you take the same count by the same method. "AI saved us hours every week" usually falls apart for one reason. The before number was a guess and the after number was a feeling. Measure both sides and you get a result you can defend to a partner or a lender. It may be smaller than the sales pitch promised.
03. Give the tool credit only for what it changed
Honest attribution separates the automation from everything else that moved that month: a new hire, a slow season, a price change. Raquel names those other factors in writing next to the result. Sometimes the answer is "it helped, and here's by how much." Sometimes it's "we can't tell yet, and here's what to watch." Either one beats a dashboard that only shows good news.
Every workflow build on the AI side carries this before-and-after measurement. See how a workflow automation sprint is scoped
Where has Raquel done this before?
All of this comes from Raquel's in-house analytics career, as Manager of Digital Analytics and then Senior Manager of Analytics. She has not done analytics consulting for outside clients before this practice opened. The site never pretends she has.
- Self-serve reporting. At an eCommerce company, Raquel built a Tableau self-serve reporting platform that cut ad hoc report requests by 40%.
- Reporting automation. In the same in-house role, she automated weekly reporting workflows and cut the manual effort behind them by 60%.
- GA4 migration governance. She ran tracking governance and QA during a GA4 migration. She checked that events, conversions, and revenue landed where the business expected.
- Attribution alongside data science. At a marketing technology company, she was the client-facing analytics lead working with a data science team. That work included matching orphaned sales records back to customer IDs so revenue was credited properly.
- KPI definitions with leadership. She worked with senior leaders to agree on how each core metric was defined. Then she ran recurring data office hours so teams used those definitions the same way.
These results describe in-house work for past employers, who are not named. They are not client results.
Which analytics offer fits your problem?
You have seven ways in, each with a published price. Flat offers have one price. Ranged offers land in the range after a discovery call.
KPI framework
Your leaders each calculate the same metric their own way
$3,000 flat3 weeks
Marketing attribution review
You spend on several channels and can't tell which one brings customers
$4,000 to $8,0003 to 5 weeks
Dashboards
Someone rebuilds the weekly numbers in a spreadsheet every Monday
$5,000 to $12,0003 to 6 weeks
Automated reporting
Monthly reports for clients or owners take days of copy and paste
$6,000 to $15,0004 to 8 weeks
Ecommerce analytics
Shopify, ad platforms, and email tools all claim the same sale
$6,000 to $15,0004 to 8 weeks
Fractional data analyst
You need an analyst's judgment every week but not a full-time hire
$3,000 to $6,000 a monthabout 20 to 40 hours · Monthly, 3-month minimum
Analytics prices reflect Raquel's close to 20 years of in-house analytics work.
Worried it won't be worth it? You see the price before you book. On ranged offers, the discovery call sets your number before any work starts.
Not sure where to start?
- Don't trust the data at all? Start with the GA4 tracking audit or the KPI framework. A dashboard built on numbers nobody agrees on makes the disagreement look official.
- Numbers fine, but assembling them eats someone's week? Look at dashboards (for your own team) or automated reporting (for people outside it).
- Asking "is our ad spend working?" The attribution review comes first.
- Need all of this, slowly, over time? The fractional analyst retainer spreads it across months.
How this connects to the AI work
- Workflow automation: every sprint gets measured before launch and again 30 days after, by the method above.
- Data cleaning and structuring: the same customer in three systems? Cleaning that up often comes before any dashboard.
- Not sure if it's an analytics problem or an AI problem? The free workflow diagnostic sorts that out.