Typical projects & price levels
Pricing
Typical projects and indicative price ranges — not fixed packages.
Digilytics does not sell standardized packages that force every client into the same template. Instead, this page shows typical projects and approximate levels, so it becomes easier to understand what different kinds of work usually involve.
TL;DR
- This page shows typical projects and approximate ranges, not fixed packages.
- The same two tracks return here as well: implementation and privacy-safe analytics.
- Final pricing always depends on current state, scope and technical complexity.
These are indicative price ranges for common projects. Exact scope and pricing are always defined case by case depending on the current setup, requirements, technical complexity, and how much is already in place.
All prices are shown excl. VAT.
How pricing works
The goal is to give an honest picture of the levels without forcing every project into a prebuilt package. That makes the page clearer and makes it easier to understand what is usually reasonable.
Scope first
Exact pricing is defined only when the current state, goals and scope are clear. That helps make sure you pay for the right level — not for a generic package.
Ranges instead of fixed packages
The price ranges show approximate levels for common projects. This creates transparency without pretending every implementation looks the same.
Built to grow over time
Not every project needs to start large. In many cases, it is better to get the foundation right first and expand later when the needs are clearer.
Pricing based on two types of projects
The same two paths from the services page apply here. Some teams mainly need to get implementation and reporting under control. Others need more control around consent, privacy, platform choice and architecture.
Track 1
Digital Analytics Implementation
For companies that need a stable and understandable analytics foundation — or want to improve an existing setup without rebuilding everything from scratch.
Typical project
GA4 / GTM foundation
approx. SEK 25,000 - 40,000
When you need to put the right foundation in place in GA4 and Google Tag Manager, or clean up an existing implementation that feels unreliable.
- Review of current setup and main issues
- Baseline structure in GA4 and GTM
- Key events, conversions and QA
Typical project
Measurement plan, events & conversions
approx. SEK 25,000 - 50,000
When business goals need to be translated into a clear measurement structure with sensible KPIs, event logic and conversion definitions.
- Measurement plan tied to goals and KPIs
- Event structure and naming conventions
- Funnels, conversions and prioritized implementation
Typical project
Dashboard & reporting
approx. SEK 15,000 - 35,000
When you need reporting that can actually support decisions, with a clearer KPI structure and less noise.
- KPI overview with sensible drilldowns
- Structure for weekly or monthly follow-up
- Definitions and light documentation
Track 2
Privacy-Safe Analytics
For companies with higher demands around consent, data minimization, governance, platform choice or a more controlled technical environment. Here, hosting, integrations and policy requirements often affect both scope and price.
Typical project
Consent / CMP + privacy-safe setup
approx. SEK 35,000 - 60,000
When consent, CMP and analytics need to work together in a technical and practical way — not just look correct on the surface.
- Consent flow connected properly to tracking
- Design for data minimization and risk reduction
- QA of how measurement behaves in different states
Typical project
Matomo / Piwik PRO implementation
approx. SEK 40,000 - 75,000
When you need to choose, implement or improve a more privacy-focused platform than the standard GA4 setup.
- Platform choice based on requirements, risk and goals
- Implementation and baseline configuration
- Retention, minimization, QA and handover
Typical project
Privacy-first analytics architecture
approx. SEK 60,000 - 120,000
When analytics is no longer mainly about tool configuration, but about architecture, routing, governance, self-hosted environments or more advanced privacy-first design.
- Clearer architecture for measurement and routing
- Higher requirements for governance, documentation and QA
- A more advanced technical environment or more dependencies
After implementation
Once the foundation is in place, the work can continue in smaller steps. It does not need to become a large new project every time.
Ongoing support or smaller follow-up work is normally quoted separately after the initial project, based on what is actually needed at that stage.
- Smaller adjustments in tracking or dashboards
- Continued QA and data quality improvements
- Advice on next steps, tooling or governance
- Support after implementation when new needs arise
How a project usually works
Pricing becomes easier to understand when the process is clear. First the current state and goals, then the right scope, then implementation and follow-up.
Step 1
Short discovery
We review your current setup, goals, tooling and what actually needs to be solved first.
Step 2
Clear scope
You get a concrete setup covering what is included, the order of priority and what level seems reasonable.
Step 3
Delivery + QA
The actual implementation is carried out, tested and documented so the result can be understood and used going forward.
Step 4
Next steps if needed
After the project, you can continue with improvements, support or deeper work — but only if it is actually needed.
Common questions about pricing and setup
The most common questions are rarely about an exact number. They are usually about why projects differ and how to find the right level from the start.
Can you take over an existing setup built by someone else?
Yes. That is actually a common starting point. The work often begins with a review of the current setup: GA4, GTM, event structure, dashboards, consent flows, and any larger data quality issues. After that, the most important fixes are prioritized before building further.
Why do you show price ranges instead of fixed packages?
Because current state, scope, and technical complexity vary a lot between projects. One company may only need a fairly light GA4 cleanup, while another needs a measurement plan, consent integration, QA, and new reporting at the same time. The price ranges should therefore be seen as indicative levels, not prebuilt standard packages.
What affects the price the most in an analytics project?
Mainly the current setup, the number of events and conversions, the need for dashboards or QA, how consent/CMP affects the implementation, which platform is used, and whether hosting or more advanced infrastructure is involved. The more dependencies and uncertainty there are in the current state, the larger the project usually becomes.
Want to define the right level first?
Book a first call and we’ll review your current setup, your goals and what type of project actually seems reasonable. You get a clearer next step — not a forced standard package.
If possible, mention your current tooling, whether you already use a CMP, and whether this is a new implementation or an improvement of an existing setup.