GA4, Google Tag Manager, Looker Studio, and Tableau. We wire up tracking that measures the
right things, define the KPIs tied to your revenue, and deliver automated dashboards with
plain-English commentary explaining what moved and why.
GA4 property configuration, Google Tag Manager containers, event and conversion
definitions, cross-domain tracking, internal traffic filters, and channel groupings that
match how you actually spend. Done first, because everything downstream inherits its
mistakes.
B
Dashboards & visualization
Looker Studio and Tableau dashboards that refresh themselves, built to be read rather
than admired. One view for the owner who wants three numbers, another for whoever runs the
channel and needs the detail behind them.
C
Data integration
Marketing data is scattered across ad platforms, email tools, the CRM, and the site, and
each one reports its own flattering version of the same conversion. We consolidate the
sources so channels are compared on the same basis, using SQL and regex where the data needs
real cleaning.
D
Reporting & interpretation
Weekly, monthly, or quarterly reporting against agreed KPIs, plus ad-hoc analysis when a
number moves and nobody knows why. The deliverable is a decision you can make, not a stack
of charts to file.
02/Deliverables
What you end up with
A measurement plan mapping business goals to metrics and events
GA4 and Tag Manager implemented, debugged, and documented
Conversion tracking verified end to end, not assumed
A UTM convention written down and enforced across campaigns
Automated dashboards in Looker Studio or Tableau
Integrated sources: ads, email, CRM, and site data in one view
Recurring reports with written commentary, not just exports
Goal setting and benchmarks derived from your own history
Ad-hoc analysis when something unexpected happens
Consent and privacy alignment so collection matches disclosure
Most analytics engagements start in the wrong place, with a tool. We start with the
questions the business needs answered, work backward to the metrics that answer them, and
only then decide what has to be tracked. That order is what keeps a dashboard to a readable
size instead of growing into forty tiles nobody opens.
Then we check what is already there. The most common finding in an audit is
that a company has been reporting confidently for years on numbers that were never measuring
what they thought: conversions double counting, a filter that was never applied, a tag
firing on the wrong page. Fixing that usually changes the story more than any new report
would.
You keep the accounts. Properties, containers, and dashboards are built in
your accounts, documented, and handed over. If we stop working together, the measurement
infrastructure and its history stay with you.
Q/FAQ
Analytics & reporting
Our GA4 is set up already. Is that enough?
Installed is not the same as configured. A default GA4 property records page views and
little else: no conversion definitions tied to your revenue, no cross-domain handling, no
internal traffic filters, no channel grouping that matches how you actually spend. The most
common finding in an audit is that a business has been reporting confidently on numbers
that were never measuring what they thought.
What is the difference between a report and a dashboard?
A dashboard answers what happened and stays current on its own. A report answers why it
happened, and it needs a person. We build the dashboard so nobody has to assemble numbers
by hand, then write the commentary that turns a chart into a decision. A dashboard with
nobody interpreting it is a screensaver.
Can you pull data from outside the website?
Yes. Marketing performance lives in several places at once: Google Ads, Meta, email
platforms, CRM records, and the site itself. We integrate those sources into one view so
channels are compared on the same basis, rather than each platform reporting its own
flattering version of the same conversion.
How do you decide which KPIs matter?
We start from the business outcome and work backward. If the goal is qualified leads,
then sessions and bounce rate are diagnostics, not KPIs. Each metric on a dashboard has to
answer a question somebody actually asks, and anything that cannot be tied to a decision
comes off the report.
Does analytics create a privacy obligation?
It can. Once you are collecting behavioral data, CCPA and GDPR obligations may apply
depending on who your visitors are, and your privacy policy needs to describe what you
actually collect rather than boilerplate. We set up consent management alongside tracking
so the measurement and the disclosure match.
Can you take over reporting we already do by hand?
Usually, yes, and it is one of the fastest wins available. A monthly report assembled by
copying numbers between spreadsheets costs hours and introduces errors nobody catches.
Automating the collection frees that time for the interpretation, which is the part that
was always worth paying for.