Month-end usually means a few hours copying numbers from Google Ads, Meta Ads and Analytics into one spreadsheet so you can put a report together for the board. We build a dashboard that does this automatically, every day — not once a month, under deadline pressure.
A marketing dashboard that does the counting before you ask
Marketing Data Analytics
Month-end usually means a few hours copying numbers from Google Ads, Meta Ads and Analytics into one spreadsheet so you can put a report together for the board. We build a dashboard that does this automatically, every day — not once a month, under deadline pressure.
Your data lives in several places at once — the Google Ads panel, the Meta Ads panel, Google Analytics, maybe a CRM on top — and none of them speak the same language. Conversions are counted differently in each system, billing periods don't line up, and comparing channels means manually recalculating in a spreadsheet.
The result is that the month-end report is ready a few days after it would have been most useful — the budget decision had to be made earlier, and the data wasn't ready yet.
The board asks for specific numbers in a meeting, and you have to say "let me check and get back to you" — because the data sits in three different systems and nobody has it lined up in one place.
We connect your marketing data sources into a single dashboard that updates automatically. Instead of manual copying once a month, you get a live view that's ready at any moment — before anyone has to ask for it.
We design the dashboard around the questions your board or you actually ask, not around a full set of every available metric "just in case." Metric selection comes from a conversation about your budget decisions, not a default template from a reporting tool.
We connect data sources so numbers from different channels are comparable with each other. What we don't do: hand you a dashboard with dozens of charts nobody reads, just to make the first delivery look impressive.
What you get
- Time back from manual workHours that used to go into copying data between spreadsheets come back to you — spend them on analysis, not assembling a report.
- Comparable data across channelsYou see which channel actually delivers results, instead of guessing from separate, non-comparable stats.
- A report ready on demandInstead of waiting for another "manual roundup" from your marketing person, the dashboard is ready at any moment — in a board meeting too.
- Structure built around your questionsThe dashboard answers the questions you actually ask in your business, not a generic set of indicators copied from another project.
We're only just building case studies with published time-saved figures in this new format — in a call we'll show you sample dashboards built for other clients and walk you through how we picked their metrics.
Scope and pricing
Marketing data analytics and reporting covers analysis of the data sources you have, defining the metrics that matter to your business, building a dashboard that connects those sources, automating data refresh, and training on reading and interpreting the dashboard.
- A conversation about your data sources and the questions the dashboard needs to answer.
- A dashboard structure proposal for your approval.
- Building the dashboard and connecting the sources.
- Data accuracy testing and a training session.
Price depends on the number of data sources to connect, the complexity of the required calculations, how often data needs to refresh, and how many audiences the dashboard serves — you get a full quote after a conversation about your data sources. We invoice after each stage is accepted, so you see the work before paying for the next step.
Our guarantees
Structure approved before build-out. You approve the dashboard structure and chosen metrics before we start full implementation — the dashboard answers what you actually ask, not a generic indicator set.
Data accuracy testing. Once sources are connected, we test the calculations against the source data from each platform before calling the dashboard done.
Training as a condition of delivery. Training on reading and interpreting the dashboard is part of project acceptance, not a paid extra.
Payment by stage. You're billed after each stage is accepted, not upfront for the whole project.
Availability
Building the dashboard is faster when your data sources have well-documented connections, and slower when systems need to be linked without a ready-made integration — we confirm the real timeline after talking through your data sources.
Get in touch
Write to us with a list of the data sources you have and the questions the dashboard should answer — we'll use that to propose scope and pricing.
What waiting costs you
Every month without an automated dashboard is another round of hours spent manually stitching together a report that still arrives late.
In short
Dashboard built around your questions · channel data brought into one comparable format · automatic refresh instead of manual copying · accuracy testing before handover · training included.
Frequently asked questions
Will the dashboard combine data from Google Ads, Meta Ads and Analytics at once?
Yes, connecting data from multiple ad and analytics platforms into one dashboard is the core use case — we pick sources based on what you actually use.
Can I change views myself after launch?
Yes, after training you can adjust views and filters yourself — we agree the base structure together during design.
How often will the data refresh?
We agree the frequency during the initial conversation — it depends on your needs and each source's technical capabilities.
What if I use a system that's not on the standard integration list?
We check whether it can connect during the sources conversation — many systems can be linked even without a ready-made integration, though it takes extra work.
Who will be able to see the dashboard after launch?
We agree that together — the dashboard can have separate views for the board and the marketing team, depending on who it's for.
Will the dashboard replace my marketing analyst?
No, the dashboard automates data collection and presentation — interpretation and strategic decisions are still made by a person, just on top of ready, comparable numbers.