DakotaAudience Review
For Dakota staff

Data Tool

Upload the file Dakota_Prep_Upload saves (it ends in _UPLOAD.xlsx), check it, and see how the period compares with the same weeks of earlier years. New here? Start with the step-by-step tutorial.

Connecting…

1 Upload and check

Only the _UPLOAD file. It has no names, emails, street addresses or phone numbers.
Upload history

2 Snapshot: this period vs history

Revenue by night ⓘ

Blue line = this period. Grey = the comparison year(s) on the same weekday-aligned night (a shaded band from lowest to highest when there are several years).

Average night by weekday

Best and worst nights ⓘ

Type a reason (weather, holiday, private event). Notes are saved and carry into the Board Report's peaks-and-valleys labels.

3 Shows, genres and pricing

Show by show

Genres ⓘ

Price levels ⓘ

Booking lead time ⓘ

Promo codes ⓘ

4 Members and guests

Customer IDs only. The dollar value of membership, with sliders, is on the Board Report.

A-Train members

Gone quiet: members with no purchase in 90+ days
Look the IDs up in Hive_CustID for names.

Guests

Retention: this period vs history

Visit frequency, last 12 months ⓘ

Where guests come from ⓘ

Top 25 guests by visits

Guest List (Customer ID 500) by show

5 Food and beverage (POS)

POS by half hour, per night open ⓘ

POS not counted ⓘ

Checks with no matching Etix table at that show. They are left out of every POS figure on this site.

Seated but no POS ⓘ

Average check by table ⓘ

Darker = higher average check. Hover or tap a table for its numbers.

Servers (staff only) ⓘ

6 Data quality

How health is judged

Why checks didn't match ⓘ

Missing data

Unmatched checks, one by one
Fix a table number on the POS export tab in the Data workbook, re-run the macro and upload again: those dates are replaced.

Tutorial

Written for someone who has never opened a macro.