Make confident decisions with better data

Get an ongoing expert support in Google Analytics 4 and Google Tag Manager – from measurement design and campaign consultations to troubleshooting and team mentoring.

Schedule a free consultation


Get in touch

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    Venicci
    Wojas
    Wólczanka
    NFTY
    Sanova
    FFar
    T-Mobile
    New Balance
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    DeeZee

    Pain points

    Working with data you don’t fully trust

    • Ad-hoc tracking chaos

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      New tags are added “on the fly” for every campaign or release – your GTM becomes cluttered, and reports start to contradict each other.

    • No unified measurement plan

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      Each team tracks performance differently – making it impossible to build a consistent view of the customer journey and revenue impact.

    • Dependency on IT or one “analytics person”

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      Every change requires a development ticket or waiting for a single expert – slowing down campaigns and experimentation.

    • Underused GA4 and GTM

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      You track pageviews and a few events – but your Google Analytics implementation does not address real product and marketing questions.

    • Risk of wrong decisions

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      Reports may look convincing – but poorly defined conversions or flawed attribution lead to cutting the wrong channels.

    benefits

    Feel safe about your analytics – at every stage of growth

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      Faster, more confident decisions

      At every major campaign, release, or integration, you know exactly what to measure and how to interpret it.

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      Smarter budgeting & fewer costly mistakes

      Clear data helps you scale the most profitable channels. Well-designed tracking from the start prevents expensive rework months later.

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      Stronger internal data skills

      Your team learns to work with GA4 and GTM independently instead of waiting for external support.

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      A scalable data system

      Your analytics grows with your business – instead of breaking with every major website or campaign change.

    How we work – step by step

    01.

    Kick-off & measurement planning

    We define your business goals, key channels, and critical decisions. Based on this, we create a structured measurement plan.

    02.

    GA4 & GTM setup review

    We assess your current implementation – identifying strengths, risks, and high-priority improvements.

    03.

    Analytics roadmap

    We define the cooperation model – monthly hours, workshop sessions, or on-call support for larger releases.

    04.

    Ongoing consultations & implementation support

    We design new events, conversions, integrations with ads platforms, CRM systems, and consent tools – and support testing and deployment.

    05.

    Regular reviews & growth recommendations

    We periodically review your analytics maturity and adjust the measurement system to reflect evolving business goals. We work within an analytics growth roadmap model – together, we plan what your data stack should look like in 3–6–12 months.

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    What’s included in the consultation service

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    Strategic measurement planning

    We translate revenue, leads, trials, and activation goals into structured GA4 events, conversions, and reporting logic. You focus only on metrics that show whether your business is growing.

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    GTM structure design & consultation

    Every new campaign becomes an extension of a well-designed system – not another patch. We advise on tags, triggers, variables, and data layer architecture to ensure your setup remains clean and scalable.

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    Integrations with ads, CRM & consent tools

    You see the full funnel – from ad click to revenue and retention. We connect GA4 and GTM with advertising platforms, sales systems, and consent management tools.

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    Reporting & data interpretation support

    You know what action to take – not just what the chart shows. We help design decision-oriented reports in GA4 and Looker Studio – and interpret them in business context.

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    Mentoring & micro-training for your team

    During ongoing collaboration, we teach your team how to test tags, validate data, and ask the right analytical questions. Analytics becomes an internal strength – not a dependency.

    CONTACT

    Ready to make your analytics work for your business?

    Joanna Jelenik
    SEO Manager

    Book a free consultation

    Your questions

    Our answers

    01 How do you choose a Google Analytics consultant?
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    Choose a consultant who can demonstrate the impact of their work on revenue – not just present polished reports.

    While choosing Google Tag Manager services provider, pay attention to their understanding of your industry and their ability to translate data into concrete business recommendations – a strong specialist delivers decisions, not charts.

    Before starting cooperation, clearly define the scope, KPIs, and reporting model. Also check whether they understand complementary tools (GTM, BigQuery, ads platforms) – not just “clicking around” in GA4. Experienced GA4 consultants should also be Google Tag Manager experts.

    02 How accurate is Google Analytics data?
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    Google Analytics is accurate enough for trend-based business decisions, but it is not an accounting system – some level of discrepancy is always present.

    Accuracy is affected by factors such as ad blockers, lack of cookie consent, data sampling, behavioral modeling, and limited access to raw data in the standard version.

    For large websites (high traffic, complex reports), GA4 applies sampling and modeling more frequently. This means some metrics are estimates, and differences of several to a dozen percent compared to “actual” figures are normal.

    03 How does Google Analytics calculate conversion rate?
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    In simple terms, conversion rate equals the number of conversions divided by the number of sessions or users, multiplied by 100%.
    In GA4, there are two key metrics:

    Session conversion rate = sessions with at least one conversion event / all sessions × 100%

    User conversion rate = users with at least one conversion / all users × 100%

    The distinction matters: session-based CR shows how effective individual visits are, while user-based CR shows how effectively you turn people into customers, regardless of how many times they visit.