Free actual-performance tracker

Food Truck Location and Daypart Performance Comparison

Compare repeated services using actual POS, invoice, fee, travel, and payroll data. See which location and daypart combinations produce contribution after the direct costs you entered.

Starter records are clearly illustrative. Replace them before making a decision. Contribution shown here is before unentered overhead, tax, debt, depreciation, and owner compensation.

Service records

4

Gross sales entered

$6,175

Tracked contribution

$2,554

$196 per service hour

Highest contribution per hour

Downtown office block | Lunch

$239 per service hour

Actual service records

Use the same location and daypart spelling to group repeat services. Loaded labor rate should include the employer costs you want represented.

Service record 1

Downtown office block | Lunch

Average order

$15

Orders per hour

32.8

Sales per hour

$492

Tracked cost

$699

Contribution

$531

Contribution per hour

$212

Service record 2

Downtown office block | Lunch

Average order

$15

Orders per hour

37.6

Sales per hour

$580

Tracked cost

$786

Contribution

$664

Contribution per hour

$266

Service record 3

Riverside brewery | Dinner

Average order

$16

Orders per hour

29.5

Sales per hour

$470

Tracked cost

$1,115

Contribution

$765

Contribution per hour

$191

Service record 4

Riverside brewery | Dinner

Average order

$16

Orders per hour

25.3

Sales per hour

$404

Tracked cost

$1,021

Contribution

$594

Contribution per hour

$149

Location and daypart comparison

Results are weighted from all entered records in each group. More repeat services usually make a comparison more useful than a single exceptional day.

Location and daypartServicesSalesContributionMarginAvg orderOrders / service hrContribution / service hrContribution / labor hr
Downtown office block | Lunch
Highest per hour
2$2,680$1,19544.6%$1535.2$239$65
Riverside brewery | Dinner2$3,495$1,35938.9%$1627.4$170$49

Read the result carefully

A high sales total can hide a weak service-hour return. Compare contribution per service hour, order pace, average order, and contribution per paid labor hour together.

Record weather, special events, promotions, stockouts, menu changes, access problems, and unusual labor. These explain outliers that the numbers alone cannot.

Do not call a location proven after one visit. Look for repeatability across comparable dates and seasons.

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