Data Map
We describe sources, events, goals, CRM fields, statuses and identification rules.
We build full-funnel analytics to show the path from ad spend and search demand to leads, deals, revenue and margin.
Marketing analytics becomes valuable when it supports decisions, not when it stores many charts. We define management questions, check data sources, configure events, CRM fields, UTM rules and dashboards. The team sees where demand is created, where it is lost and which actions improve economics.
We describe sources, events, goals, CRM fields, statuses and identification rules.
We show the path from impression and click to lead, qualification, deal and payment.
We build management views by channels, segments, products and periods.
We define who reviews reports, how often and which decisions are made.
We define which decisions reports must support and which metrics matter.
We check counters, goals, events, UTM, CRM, deals and sources of mismatch.
We set dashboard structure, metric formulas and refresh rules.
We train the team to read reports and use them in the management cadence.
Reports start from management questions, not available widgets.
Every metric has a source, formula and owner for data quality.
Analytics is connected with regular decisions on budget, offers and channels.
It is especially useful when several channels, CRM and a need to see marketing contribution to sales exist.
Yes. A clear minimum report is better than a complex system with weak data quality.
We need to find the source: UTM, goals, duplicates, CRM statuses, calls or attribution rules.
Owners, directors, marketing, sales and operations, each with the right management view.
You will see which data to connect to reveal the real marketing contribution. We will review the task and suggest the first practical step.