August 17, 2026
How to Use Excel for Marketing Analytics Before You Need More Complex Tools
Marketers do not always need a complex dashboard.
For many day-to-day tasks, a spreadsheet is already powerful enough to organize and analyze campaign data.
Start with clean data
Separate raw data from analysis.
Example columns:
- Date
- Campaign
- Spend
- Impressions
- Clicks
- Conversions
- Revenue
Avoid mixing raw inputs and formulas carelessly.
Calculate basic metrics
A spreadsheet can calculate:
CTR
Clicks / Impressions
CPC
Spend / Clicks
CPA
Spend / Conversions
ROAS
Revenue / Spend
For example, if spend is Rp1,000,000 and revenue is Rp3,000,000:
ROAS = Rp3,000,000 / Rp1,000,000 = 3x
That number does not automatically mean the campaign is profitable. Product margin, operating costs, and other business factors still matter.
Use pivot tables
Pivot tables are useful for questions such as:
- Which campaign generated the most conversions?
- Which channel has the lowest CPA?
- Which creative generated the most revenue?
- How did performance change week by week?
Build a simple dashboard
A dashboard does not need dozens of charts.
A few useful components may be enough:
- total spend
- conversions
- CPA
- revenue
- ROAS
- weekly trend
- top campaigns
The important thing is whether the dashboard supports a decision.
Use spreadsheets for documentation too
A spreadsheet can also store:
- naming conventions
- campaign logs
- experiment logs
- creative tests
- tracking plans
Good documentation makes decisions less dependent on memory.
Conclusion
More expensive tools do not automatically produce better analysis.
The ability to structure data, choose useful metrics, form hypotheses, and make decisions is more important.
A spreadsheet is a good place to build those skills.