Data consulting
Give your teams a shared starting point
Connect business questions, metric definitions and analysis in a way your team can keep using.
See our approachDOES THIS SOUND FAMILIAR?
Does this sound familiar?
Every team is doing its best, but each means something different by “conversion”.
A CLOSER LOOK
Let the meeting move beyond reconciling numbers
Three questions to give the discussion common ground.
01What decision are we making?＋
Put the real question on the table
Are we changing investment, understanding customers or finding a gap in the workflow?
02What evidence can we use?＋
Agree on the data and its limits
Which sources, time ranges and definitions are settled, and which need another look?
03Who carries the next step?＋
Connect discussion to action
Clarify the next action, the responsible role and how the team will review it.
OUR APPROACH
A clear question. A practical approach
- 01
Translate business questions into analysis
- 02
Align metrics, scope and limitations
- 03
Build a rhythm of interpretation and action
WORKING TOGETHER
Useful beyond the handover
These are starting points for scoping. Deliverables and timelines are agreed for each engagement.
Question and metric definitions
Analysis and supporting reasoning
Recommended actions and follow-up
SCOPE
Common questions we work on
How it starts
- A needs interview first
- Then a tracking plan built for you
Topics
- Ad performance tracking
- Customer journey analysis
- Online and offline data together
- Audience insight
- Behaviour prediction
- Cross-platform data
Going further
- Several sources integrated around GA
- Raw GA data exported to BigQuery
This service at a glance
| Item | Details |
|---|---|
| Typical situation | Every team is doing its best, but each means something different by “conversion”. |
| How we work | Translate business questions into analysis; Align metrics, scope and limitations; Build a rhythm of interpretation and action |
| What you receive | Question and metric definitions; Analysis and supporting reasoning; Recommended actions and follow-up |
| Before we start | The goal under discussion, current reports and the teams involved. |
OFFICIAL REFERENCES
References: Google documentation
Our approach follows Google’s official documentation. When the rules change, the latest official guidance applies.
- Get started with attributionsupport.google.com
- BigQuery Exportsupport.google.com
- Consent mode on websites and mobile appssupport.google.com
BEFORE WE BEGIN
A useful place to start
The goal under discussion, current reports and the teams involved.
Discuss your situationCan we start without knowing the root cause?
Yes. Describe the confusing numbers or workflow, and we can discuss whether diagnostics, analysis or another service is the right starting point.
Do we need to change tools first?
We first review the current setup and constraints. A new tool should follow a clear need.
How are scope and timing agreed?
We scope the data, systems, participants and deliverables together before proposing the engagement.
COMMON QUESTIONS
From data to action
We need someone to turn GA4, ad and BI data into a marketing plan. Can consulting do that?
That is what data consulting is for. We start with the decision you need to make, work back to the data it requires and whether that data can be trusted, then write it up as actions your team can carry out. Because we also handle tracking, data integration and media buying, recommendations end in specific settings and budget changes, not just a report.
How does a consultation usually start?
With an interview about the questions you need answered and the state of your data, followed by a proposed scope. The first consultation is free and is used to clarify the problem and the scope. Reviewing accounts and data is done as a Data Health Check, quoted separately.
What kind of company benefits from data consulting?
It depends on complexity, not industry: several ad platforms at once, both a website and an app, or online and offline data that need to connect.
How we work
- Interview: the decision to be made and the state of your data.
- Where needed, review accounts and data through a Data Health Check.
- Propose a scope.
- Deliver: tracking setup, data integration, advertising changes.
- Review regularly whether the recommendations changed anything.