Turn your marketing data into clear answers
Reports should help you decide what to do next. We build reporting that shows what happened, explains why, and lets you ask your own questions.
What is marketing reporting and analytics?
Marketing reporting shows what happened across your campaigns. Analytics explains why it happened and what to do about it. Together they turn raw data into decisions for your team and leadership.
Why more dashboards don't mean more clarity
Many teams have plenty of dashboards and still can't answer simple questions about what's working. Reports multiply, definitions drift, and leaders stop trusting the numbers.
Good reporting starts with the decisions people need to make. Leaders need a clear view of results against goals, while the people running campaigns need the detail behind those results.
What's included
Executive reporting and dashboards
Give leaders a clear view of performance against goals, with shared definitions and the revenue context they care about.
Natural-language analytics (“ask your data”)
Let your team ask questions about your data in plain language and get answers without waiting for someone to build a report.
Automated performance and root-cause analysis
Use automation to spot meaningful changes, trace likely causes, and summarize what happened, so your team spends less time digging.
How we approach reporting and analytics
1. Start with the decisions
Identify who needs the reporting and what they need to decide.
2. Agree on definitions
Settle what each metric means, so everyone is working from the same numbers.
3. Build the views
Create reporting for each audience, with no more detail than they need.
4. Review and act
Use the reporting in regular reviews, and retire what nobody uses.
How this connects to the loop
From Conversion
Lead and conversion data show what your campaigns produced.
To Optimization
Clear findings show where to shift budget, creative, and audiences next.
Common questions
What should an executive dashboard include?
Progress against goals, the revenue and pipeline marketing produced, cost efficiency, and a short explanation of what changed. It should fit on one view and use definitions leaders trust.
What is natural-language analytics?
Natural-language analytics lets people ask questions about their data in everyday language, such as which campaign produced the most qualified leads last month, and get an answer without writing a query.
How accurate are AI answers about our data?
They depend on the quality of your data and how it's defined, which is why we build on clean, consistent data. For important decisions, check answers against your source reports.
Can you work with the reports we already have?
Yes. We start by reviewing what you use today, then keep what's working and fix or replace the rest.
More in Measurement
- Tracking ArchitectureCollect accurate first-party data with GA4, GTM, and server-side tracking, with privacy handled from the start.
- Closed-Loop Conversion TrackingConnect CRM outcomes back to the campaigns that produced them.
- Marketing Data InfrastructureBring your marketing data into one reliable place and watch its quality.
Talk to us about reporting and analytics
Tell us where your marketing stands today, and we'll show you what to do first.