No in-house analyst on the team
Marketing and product use data, but no one has time to maintain and grow analytics.
You have analytics in place, but no one on the team who maintains data quality day to day, interprets results and reacts to issues. Agencies rotate people every quarter. GA4 breaks - nobody notices for two weeks. A subscription is not a one-off project - it's continuous care: GA4/GTM monitoring, reports, small implementations, campaign support and strategic consulting. One person who knows your stack and priorities.
Marketing and product use data, but no one has time to maintain and grow analytics.
Every change means explaining from scratch: GTM architecture, business goals, decision history.
No data quality monitoring. Conversion errors surface only when closing the month.
Hours on export and formatting instead of analysis - dashboards exist but nobody maintains them.
“Why did conversions drop?” - the team waits for a free developer or the next project.
After GA4 migration or BI rollout, no one evolves tags, reports or integrations.
Audit of current analytics state, communication channels (Slack, email, Jira), priorities and hour package scope.
Deliverable: care plan + response SLATask backlog for the month: monitoring, recurring reports, implementations, consulting. Flexible priority shifts.
Deliverable: monthly plan + hour allocationGA4/GTM monitoring, ad-hoc analysis, new events, dashboard fixes, campaign support (UTM, attribution, ROAS).
Deliverable: completed tasks + data quality statusMonthly summary: hours used, outcomes, recommendations for next period. Package size adjusted if needed.
Deliverable: monthly report + invoice with work descriptionRegular checks of GA4, GTM, conversions and integrations. Error response, alerts and improvement recommendations.
Management reports, ad-hoc analysis, Looker Studio or Power BI dashboards - maintained and up to date.
New events, integrations, tag optimization, BigQuery growth - without a separate project for every small change.
Marketing support: UTM, attribution, channel effectiveness, ROAS - when numbers must match the budget.
Metric definitions, ID mapping across systems, data order - so reports tell the same story.
Knowledge transfer, GA4, Power BI, BigQuery workshops - within the package or as a separate module.
Before booking a consultation, check your analytics health or estimate campaign performance.
Quick GA4 implementation check - configuration, events, e-commerce and common errors.
Run auditorAssess campaign profitability and ad budget - before requesting ad-hoc analysis.
Calculate ROASCompare GA4 attribution models - understand how different models affect channel evaluation.
Run simulator
Krzysztof Surowiecki. I implement analytics - then stay on as your dedicated data guardian when you don't want to build an in-house analytics team. I know your stack (GA4, GTM, BigQuery, Looker Studio, Power BI) and business context - no starting from scratch every month.
Tell me how you use analytics today and what's missing. In a consultation I'll propose an hour package, subscription scope and way of working.