Technology and partnerships
Make more of the tools you already use. We bring Google expertise, specialist partnerships and practical engineering to improve measurement, connect your data and open up new ways to use it.
Explore how the tools fit togetherGoogle Marketing Platform and Google Cloud are at the core of our expertise. We use them to collect reliable data, connect it and help your team understand what is happening.
Alongside a wide range of consent platforms
Audit and implement web, app and server-side tracking. Design the data layer, audit Firebase app events and investigate missing events and attribution. Configure consent platforms, connect them to your tags and test what fires before and after consent.
Explore tracking solutions
Join marketing, customer and product data in BigQuery. Use SQL and Dataform to build reusable models, test definitions and review changes. Where Gemini could help, evaluate a specific use case and check the results.
Explore intelligence platforms
Dashboards and LookML modelling
Build useful dashboards in Data Studio and Looker. Use LookML to define views, Explores and consistent metrics, with reviewed modelling changes. Investigate the questions behind the reports with SQL or Python where needed.
Explore analysis, reporting and data productsAn agent can only answer well if it can find what your data means. In Google Cloud that context sits in four places.
We agree the definitions with your team, put them where the agents read, check what each agent can actually reach and test its answers against reviewed examples.
Practical training in Google Analytics, Google Tag Manager and Data Studio.
We can hand over the work, support your team or take on monitoring and response within an agreed Data Assurance scope.
Measurelab is a Google Marketing Platform Certified Partner and a Google Cloud Select Partner for services and co-sell, holding the Google Cloud Data & Analytics Competency and the Marketing Analytics Services Specialization.
A working setup often spans several platforms. Our specialist partnerships and experience across the wider toolset help you connect collection, consent, data and reporting.
Server-side GTM hosting partner.
Server-side GTM hosting partner.
Tracking quality and consent monitoring partner.Some examples of tools we use in client environments, grouped by the work they support.
Agents can now answer questions about your data, prepare summaries and investigate a change, and the tools for sharing what you find change month to month. We help you choose an approach around the question, the people using it and where your data lives.
Google's data agents answer questions in plain English, grounded in the tables, definitions and verified queries you agree. Your team can use them in BigQuery, Data Studio, Looker or Gemini Enterprise.
Ask which campaigns brought in customers who bought again, then check the SQL behind the answer.
Measurelab is working towards Claude Partner Network status.
We can scope an analytics agent using Claude to query connected warehouse data, investigate changes and draft explanations. MCP connectors provide access to the agreed sources; shared metric definitions give the questions their meaning.
Ask why conversion changed, explore a follow-up question and review the queries behind the answer.
In beta
Claude builds a dashboard from a plain-English request, connected to BigQuery or Snowflake. It refreshes as the data changes and shows the query behind every number.
A weekly pipeline view a sales lead can ask for and adjust without waiting on a report.
A notebook analysis becomes an interactive app people open through Data Studio, changing dates and filters without touching code. It suits a focused analysis shared with a team rather than a dashboard everyone opens daily.
A pricing analysis your commercial team can rerun for their own region and date range.
Evidence brings SQL, Markdown and chart components together in reports and data apps. It is an option when you want the explanation beside the numbers, with report changes reviewed and versioned in a repository.
A recurring performance report that combines charts, measures and the narrative your team needs.
Rill is an option for interactive exploration of operational and time-series data. Models, metrics and dashboards are defined in code, so the logic behind a view can be inspected and changed alongside the rest of the project.
Compare periods, filter a campaign or channel and drill into the changes behind a headline number.
Start with a specific use case. We agree the data access, definitions and example questions, then check the results before deciding what to build. Coding agents such as Claude Code can also help develop reports and models, with changes reviewed before release.
Build in your environment. Make definitions explicit, changes reviewable and results testable. Choose tools for the question and the people who will use them. Your team keeps the code, models and documentation, with handover, support or ongoing responsibility agreed.
Follow the data from collection through the warehouse to analysis and reporting. Transformation and governance support the flow, and Gemini runs through the Google tools at each stage.
Select a stage or supporting layer to explore its role and the tools we use there.
Gemini now sits inside the Google tools at most stages, from questions about GA4 data to help writing SQL and building reports. Start with a specific question, such as what customer conversations reveal. We can scope an evaluation against human-reviewed examples and simpler rules, comparing useful results and running costs before deciding what to build.
Investigate missing events, consent behaviour and attribution across web, app and server-side tracking. We turn the findings into implementation changes, specifications and checks against the agreed measurement plan.
Raw data arrives as it was collected. The semantic layer is what turns it into things a person can ask for by name, so that a metric means the same thing in a dashboard, a model and an agent.
An investigation into why performance changed, a dashboard showing where people drop out or a model to test a useful hypothesis. We explain the findings, definitions and checks so your team can decide what to do next.
Bring a question to investigate or a report or model to build.
Turn raw events into reusable tables for customer journeys, conversions and reporting. We build the definitions into SQL, check for missing or duplicate records and review changes before release.
This band runs under everything else because nothing above it stays correct on its own. Assertions catch a definition that has quietly changed shape, and version history says who changed it and when.
Ongoing monitoring is Data Assurance, a separate managed service.
We build on your stack, in your cloud account. The tracking, the models, the dashboards and the agents are yours to keep.
Bring a measurement problem, data to connect or a question to investigate. We'll talk through the work and agree a useful scope.
