Prepare your analytics for the future by exporting your Google Analytics 4 data into BigQuery.
This unlocks deeper insights, removes GA4 limitations, and enables advanced analysis at scale.


GA4 samples your data, throws it away after 14 months, and makes serious analysis hard.
If you’re running a high-traffic site, you’ve probably hit all three limits. Exporting your raw GA4 events into BigQuery fixes that: every event kept, nothing sampled, full history, and the freedom to query it properly.
It’s how you move from GA4’s standard reports to analysis you can actually trust at scale. It provides a foundation for reliable reporting, and for the monitoring that keeps it right.
We export your raw GA4 data into BigQuery to ensure accuracy, scalability, and full control over your analytics.
We design dashboards using Google Looker Studio, Power BI, or other visualisation tools, tailored to your business goals and KPIs.
Access precise event counts for A/B tests without GA4 sampling issues that can skew results.
Create custom dashboards from raw BigQuery data for deeper, personalised analysis.
Use Looker Studio to build dynamic dashboards that refresh automatically from BigQuery.
Combine GA4 data with other sources to support predictive analytics and trend forecasting.
Forget GA4’s 500-value limit, BigQuery supports high-cardinality dimensions.
Merge GA4 data with CRM, offline data, first-party data, or external platforms.
Analyse every recorded event without GA4 sampling limitations.
Use SQL to perform complex data transformations and deep analysis.
Stream events into BigQuery as they happen for the most up-to-date reporting possible.

If GA4’s sampling, retention limits or reporting are holding you back, let’s talk about moving your raw data into BigQuery, with unsampled, full-history analysis you can rely on. team.













We migrated their systems to Google Tag Manager, implemented detailed form field tracking, and developed online dashboards for self-service reporting.
Read Full Case Study
The client struggled with data quality issues due to the limitations of free Google Analytics 4, given the high traffic volumes on their site. Solution: We exported raw data to BigQuery and set up automated dashboards to leverage tabular analysis directly from BigQuery.
Read Full Case Study
A childcare brand was under-reporting revenue by over 90%. Here’s what it was costing them.
Reducing Customer Support Calls for a Global Insurance Company
Enhancing Data Quality for Online Casinos
A childcare brand was under-reporting revenue by over 90%. Here’s what it was costing them.
Read Full Case StudyReducing Customer Support Calls for a Global Insurance Company
Read Full Case StudyEnhancing Data Quality for Online Casinos
Read Full Case StudyOur clients value how we simplify complex analytics and make insights easy to act on.








Conversion Uplift is led by Neal Cole, author of the official GA4/GTM audit course for CXL, not “CXL-trained” like much of the field, but the person who wrote the course. Behind him is a small, senior team with a genuine background in the sectors where getting measurement wrong is most expensive: financial services and gaming.

Conversion Uplift Founder
and creator of CXL.com's GA4 Audit Course

Analytics Engineer

Senior Analytics Consultant

Data Analyst
Neal regularly shares what we’re seeing in the field, where analytics data quietly goes wrong, what AI changes for measurement, and how server-side tracking and BigQuery keep the numbers honest. Practical, specific, and occasionally uncomfortable.
Start with a free website audit, or talk to Neal directly about a full diagnostic audit. Either way, you’ll know exactly where your numbers stand, and what it’s worth to fix them.