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We all know most business users use Excel to track sales and metrics. Thus, which tricks on Excel do you use that you strongly recommend for others to use? Please do share.

Dani AI

Generated

— a compact checklist of practical Excel techniques that help make advertising-sales tracking repeatable, auditable, and easy to drill into.

Keep raw exports untouched and work from a staging table or a Power Query connection. Use Insert > Table (structured tables) so ranges expand automatically. Consolidate platform exports with Power Query (Get & Transform) using "From Folder" or consistent CSV imports, then normalize campaign names, split UTM fields, and load the result to the workbook data model. Build PivotTables/PivotCharts from the Data Model and add slicers/timelines for interactive exploration.

Typical workflow:

  • Import raw files into Power Query, clean (trim, case, split UTM), dedupe, and append.
  • Load cleaned data to a Table and to the Data Model for measures.
  • Create DAX measures (or use SUMIFS/AVERAGEIFS) for CPA, ROAS, CTR and use slicers for platform/date/campaign.
  • Maintain lookup tables (channel mapping, currency rates, campaign IDs) and join by stable IDs, not display names.

Example formulas (use structured refs or named ranges):

=SUMIFS(Table[Cost], Table[Platform], "Google Ads", Table[Date], ">=" & $F$1, Table[Date], "<=" & $F$2)
=XLOOKUP([@Campaign], Mapping[Campaign], Mapping[Channel], "Other") 

(XLOOKUP requires recent Excel/365; INDEX/MATCH is an alternative.)

Common pitfalls and troubleshooting: mismatched time zones and attribution windows, currency inconsistencies, duplicate rows when joins use names instead of IDs, and sampling/attribution differences across platforms. Keep a raw-export audit sheet, document transformations in Power Query steps, and version the workbook or store the canonical dataset in a shared location for repeatable monthly reporting.

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