Measurement & analysis
services
Measurement strategy and martech review
Server-side tracking and first-party data
Data quality, consent, and GDPR
Visualization and decision support
Modeling and LLM-based analysis
Measurement strategy, server-side tracking and data quality, plus analysis that enables actionable decisions. The right data should lead to clear, understandable decisions.
Measurement strategy, server-side tracking and data quality, plus analysis that enables actionable decisions. The right data should lead to clear, understandable decisions.
Why Measurement Determines What You Can Trust
Measurement that cannot be trusted is worse than no measurement, because decisions are made anyway. Much of what was measured a few years ago no longer holds up, and this is rarely visible in the report.
How We Work with Measurement Strategy and Data Quality
We start with measurement needs, data sources, and the current state, and perform a review of your martech. Then, the infrastructure is transitioned toward cookieless, server-side, and first-party data. Only after that comes the analysis: visualization, modeling, and LLM-based analysis that makes the data comprehensible. The models are continuously refined.
Collaboration Around Reports and Decisions
Data quality, consent, and GDPR determine what the data is worth, especially in sensitive environments, so compliance is built-in rather than tacked on. The goal is decision support. More dashboards are rarely the answer to the question of what works.
Why Measurement Determines What You Can Trust
Measurement that cannot be trusted is worse than no measurement, because decisions are made anyway. Much of what was measured a few years ago no longer holds up, and this is rarely visible in the report.
How We Work with Measurement Strategy and Data Quality
We start with measurement needs, data sources, and the current state, and perform a review of your martech. Then, the infrastructure is transitioned toward cookieless, server-side, and first-party data. Only after that comes the analysis: visualization, modeling, and LLM-based analysis that makes the data comprehensible. The models are continuously refined.
Collaboration Around Reports and Decisions
Data quality, consent, and GDPR determine what the data is worth, especially in sensitive environments, so compliance is built-in rather than tacked on. The goal is decision support. More dashboards are rarely the answer to the question of what works.
Contact
Christopher Blidner
to get started
Christopher Blidner
CEO & Partner
Christopher Blidner
CEO & Partner
Selection of prices
Echo Awards
The Peak Fear Experiment
Liseberg
Gold
2024
The Gold Box
Shortcut to your own apartment
HSB Gothenburg
Gold
2010
Echo Awards
Halloween at Liseberg
Liseberg
Silver
2020
Swedish Content Awards
The Peak Fear Experiment
Liseberg
Silver
2024
Inhouse Awards
Jubileumsvasan
Vasaloppet
Silver
2022
Echo Awards
Not everyone can do everything at the same time
Gothenburg Energy
Bronze
2022
Echo Awards
The Forest
Liseberg
Bronze
2021
FAQ
FAQ
Our numbers haven't been adding up since the cookie transition, where do we start?
In a measurement strategy and a review of the data quality. Most often, the problem lies in what is measured, where and why, rather than in the tools.
We compare what is measured today with what you need to know. Often, tracking remains from several years ago that no one uses anymore, while what guides decisions is not measured at all.
After that, we look at consent, tagging and data quality. Once the foundation is right, it is possible to talk about tools and reports, and the figures start to be trustworthy again.
Read more
Our numbers haven't been adding up since the cookie transition, where do we start?
In a measurement strategy and a review of the data quality. Most often, the problem lies in what is measured, where and why, rather than in the tools.
We compare what is measured today with what you need to know. Often, tracking remains from several years ago that no one uses anymore, while what guides decisions is not measured at all.
After that, we look at consent, tagging and data quality. Once the foundation is right, it is possible to talk about tools and reports, and the figures start to be trustworthy again.
Read more
Our numbers haven't been adding up since the cookie transition, where do we start?
In a measurement strategy and a review of the data quality. Most often, the problem lies in what is measured, where and why, rather than in the tools.
We compare what is measured today with what you need to know. Often, tracking remains from several years ago that no one uses anymore, while what guides decisions is not measured at all.
After that, we look at consent, tagging and data quality. Once the foundation is right, it is possible to talk about tools and reports, and the figures start to be trustworthy again.
Read more
What is server-side tracking?
Measurement that goes through your own server instead of the visitor's browser. More stable data in a cookieless world, and more control over what is shared.
The browser sends an event to your own server, which in turn forwards what you have chosen to the respective tool. You decide what leaves the house and what stays.
The benefit is more stable measurement when browsers block scripts and shorten cookie lifetimes. Consent is still needed: the rules apply just as much when the measurement moves to the server.
Read more
What is server-side tracking?
Measurement that goes through your own server instead of the visitor's browser. More stable data in a cookieless world, and more control over what is shared.
The browser sends an event to your own server, which in turn forwards what you have chosen to the respective tool. You decide what leaves the house and what stays.
The benefit is more stable measurement when browsers block scripts and shorten cookie lifetimes. Consent is still needed: the rules apply just as much when the measurement moves to the server.
Read more
What is server-side tracking?
Measurement that goes through your own server instead of the visitor's browser. More stable data in a cookieless world, and more control over what is shared.
The browser sends an event to your own server, which in turn forwards what you have chosen to the respective tool. You decide what leaves the house and what stays.
The benefit is more stable measurement when browsers block scripts and shorten cookie lifetimes. Consent is still needed: the rules apply just as much when the measurement moves to the server.
Read more
We are already drowning in dashboards.
That is often where we begin. The goal is fewer views and clearer decisions, with analysis that tells you what to do.
We start from what decisions you need to make and how often. Anything that does not support one of those decisions can be removed without anyone missing it.
The result is usually one view for management, one for those working in the channels, and a deeper one for analysis. Plus a short text explaining what the numbers mean this month, because that is rarely obvious.
Read more
We are already drowning in dashboards.
That is often where we begin. The goal is fewer views and clearer decisions, with analysis that tells you what to do.
We start from what decisions you need to make and how often. Anything that does not support one of those decisions can be removed without anyone missing it.
The result is usually one view for management, one for those working in the channels, and a deeper one for analysis. Plus a short text explaining what the numbers mean this month, because that is rarely obvious.
Read more
We are already drowning in dashboards.
That is often where we begin. The goal is fewer views and clearer decisions, with analysis that tells you what to do.
We start from what decisions you need to make and how often. Anything that does not support one of those decisions can be removed without anyone missing it.
The result is usually one view for management, one for those working in the channels, and a deeper one for analysis. Plus a short text explaining what the numbers mean this month, because that is rarely obvious.
Read more
Do we need to change analysis tools?
Usually not. We start with what you already have and check if it measures the right things.
Common mistakes include double-counted traffic, goals that were never updated, and a cookie solution that drops half of the visits. This can be corrected without changing platforms.
A platform switch might be necessary when requirements change, for example, regarding personal data or server-side tracking. In that case, we will let you know what the switch will cost in terms of time before you decide.
Read more
Do we need to change analysis tools?
Usually not. We start with what you already have and check if it measures the right things.
Common mistakes include double-counted traffic, goals that were never updated, and a cookie solution that drops half of the visits. This can be corrected without changing platforms.
A platform switch might be necessary when requirements change, for example, regarding personal data or server-side tracking. In that case, we will let you know what the switch will cost in terms of time before you decide.
Read more
Do we need to change analysis tools?
Usually not. We start with what you already have and check if it measures the right things.
Common mistakes include double-counted traffic, goals that were never updated, and a cookie solution that drops half of the visits. This can be corrected without changing platforms.
A platform switch might be necessary when requirements change, for example, regarding personal data or server-side tracking. In that case, we will let you know what the switch will cost in terms of time before you decide.
Read more
Do you want to know more about our services, how we work, or bounce an idea around?
Do you want to know more about our services, how we work, or bounce an idea around?