Companies that start working with data systematically usually run into the same question sooner or later: Should we hire an in-house analyst, or work with an external analytics team?
From our experience, though, this is not an either–or decision. The best results come from companies that successfully combine internal business knowledge with external expertise.
This is exactly the model we’ve been applying long term as well — with the goal of helping clients grow, become more data-independent, and still have access to expert support whenever they truly need it.
Our client references prove it. Read their stories and see how this combination helped them grow.
How We Work with Clients — and Why This Model Works
At the beginning of most collaborations, we focus on a few fundamental questions:
- What data is the company actually collecting?
- How reliable is that data?
- And who is really using it for decision-making?
Very often, we find that data exists, but it’s not connected properly, interpreted correctly, or fully utilized.
Our goal is not to become an “external analytics department” that handles everything for the client. Quite the opposite.
We help internal teams understand data, learn how to work with it, and use it in practice. We step in where a broader perspective, technical depth, or experience from other projects is needed — whether that’s GA4, server-side tracking, Business Intelligence, or advanced analytics.
This approach prevents analytics from becoming dependent on a single external vendor and helps companies gradually build their own internal data competence.
In-House Analyst Only: Strong Context, Limited Perspective
An internal analyst has one huge advantage: deep understanding of the company.
They understand the product, customers, internal processes, and business priorities. Communication is fast, context is clear, and decision-making is smoother.
This model works particularly well when:
- the company mainly needs basic reporting and performance monitoring
- the analytics setup is stable and technically simple
- the goal is long-term knowledge building inside the company
However, this model also has limitations.
One person usually cannot:
- keep up with rapid changes in analytics, cookies, and advertising platforms
- gain experience from dozens of different projects and industries
- effectively combine strategy, implementation, data quality control, and advanced analysis at the same time
As a result, analytics often “works somehow,” but nobody is completely sure whether the data actually reflects reality.
External Team Only: Strong Data Expertise, Weaker Business Context
An external analytics team can quickly identify tracking issues, design more effective data architecture, and implement advanced solutions that internal teams often don’t have the capacity for.
Main advantages include:
- broad technical know-how
- experience across many different project types
- objective perspective and external insight
Without a strong internal partner, however, external teams may:
- interpret data without understanding important business context
- deliver excellent analyses that never turn into actual decisions
- remain “just a supplier” instead of becoming a real strategic partner
This model works well for one-time audits, large implementations (GA4, server-side tracking, BI), or situations where the company has no internal analytics capacity at all.
The downside is usually a weaker understanding of the business itself.
Combining an Internal Specialist with an External Expert Team
In our experience, connecting these two worlds is by far the most effective solution.
An internal analyst or marketing specialist understands the company context, defines the right questions, and works with the data every day.
The external team brings experience, technical depth, and the ability to solve complex or non-standard challenges.
This collaboration creates recommendations that are not only technically correct, but also make business sense.
Data gets regularly audited, analytics continuously evolves, and the company avoids dependency on a single person or one vendor.
Internal Analyst
✔️ understands the company, goals, and priorities
✔️ asks the right business questions
✔️ works with data on a daily basis
External Team
✔️ ensures tracking quality and measurement accuracy while staying up to date with trends and platform changes
✔️ helps with advanced solutions (server-side tracking, BI, automation)
✔️ brings experience from other projects and identifies blind spots
Today, most of our long-term clients operate using exactly this model — and we can clearly see that analytics then starts influencing not only marketing, but also product development and strategic decision-making.
At Archetix, we want clients to grow alongside us and continue developing together. The growth of clients such as Shoptet, Super zoo, or Ochutnej Ořech is proof of that.
Summary: Why the Hybrid Model Works Best
The real question is not whether an internal or external analyst is “better.” Each approach has its strengths and weaknesses.
The real value comes from combining both.
A hybrid model delivers:
- higher data quality
- lower risk of errors
- faster adaptation to changes
- continuous growth of internal data competence
Analytics then stops being an isolated technical discipline and becomes a natural part of business management.
We believe the best partnerships are the ones where clients understand their own data, know how to work with it, and at the same time have an expert team available whenever they need to go one step further.
This model has consistently proven the most effective for us as well, because during the collaboration we actively educate clients, helping them become more data-independent while we focus on expert-level implementations and advanced analytics solutions.