by REVPNT · A Maurice Willis IP
Stackfire Kitchen
Food & Beverage / Fast Casual
Repeat Purchase
What if growth is already sitting inside the transaction?
Stackfire Kitchen is a fictional fast-casual restaurant used to demonstrate repeat-purchase and channel economics inside SIGNAL.
Stackfire looks busy. Customers return, orders move consistently, and the owner believes the next stage of growth requires bringing more people through the door.
SIGNAL models frequency, channel mix, ticket size, food cost, packaging, platform fees, and processing together before touching traffic.
Owner Assumption
“We need more customers.”
Current model
- Active customers
- 1,860
- Monthly purchase frequency
- 1.72
- Modeled monthly orders
- 3,199.2
- Channel mix
- 64% dine-in · 21% pickup · 15% delivery
- Average tickets
- $23.80 · $25.40 · $30.20
- Modeled monthly revenue
- $80,287.12
- Channel food costs
- 31% · 31% · 33%
- Packaging per order
- $0.55 · $0.85 · $1.45
- Delivery-platform fee
- 18% of delivery revenue
- Processing cost
- 2.7%
- Modeled gross contribution
- $47,938.89
- Fixed monthly costs
- $37,000
- Modeled operating contribution
- $10,938.89
Modeled scenario
- Active customers
- 1,860 (unchanged)
- Monthly purchase frequency
- 1.80
- Channel mix
- 63% dine-in · 25% pickup · 12% delivery
- Average tickets
- $24.90 · $26.80 · $31.10
- Channel food costs
- 30% · 30% · 32%
- Modeled monthly revenue
- $87,446.41
- Modeled gross contribution
- $53,898.40
- Modeled operating contribution
- $16,898.40
This scenario does not assume customers will automatically accept higher tickets, a different channel mix, or improved food cost. Those assumptions would still need validation.
Calculation Logic
Every figure below is produced by interacting drivers — volume, qualification, mix, conversion, frequency, channel economics, cost behavior, collections, churn, and expansion. A modeled scenario shows what those drivers would produce if the stated assumptions became true.
Current model
- 01Modeled orders
1,860 active customers × 1.72 monthly purchase frequency
= 3,199.2
- 02Modeled revenue
Orders split 64% / 21% / 15% across dine-in, pickup, and delivery at $23.80, $25.40, and $30.20 average tickets
= $80,287.12
- 03Modeled gross contribution
Revenue less channel food costs (31% / 31% / 33%), packaging ($0.55 / $0.85 / $1.45 per order), an 18% platform fee on delivery revenue, and 2.7% processing
= $47,938.89
- 04Modeled operating contribution
$47,938.89 less $37,000 fixed costs
= $10,938.89
Modeled scenario
- 01Modeled orders
1,860 active customers × 1.80 monthly purchase frequency
= 3,348
- 02Modeled revenue
Orders split 63% / 25% / 12% at $24.90, $26.80, and $31.10 average tickets
= $87,446.41
- 03Modeled gross contribution
Revenue less channel food costs (30% / 30% / 32%), the same packaging and 18% delivery-platform fee, and 2.7% processing
= $53,898.40
- 04Modeled operating contribution
$53,898.40 less $37,000 fixed costs
= $16,898.40
What SIGNAL Surfaces
Volume is already meaningful, which makes frequency, channel mix, and ticket size economically sensitive.
Channel mix carries its own cost structure — delivery adds packaging and an 18% platform fee, so shifting mix changes contribution even at similar revenue.
A small improvement applied across thousands of transactions can materially change the model without increasing traffic.
Better Question
Before acquiring more customers, how much economic leverage exists inside the orders, channels, and margins the business already has?
Decision Areas To Investigate
- Purchase frequency
- Channel mix
- Menu mix
- Bundles and add-ons
- Pricing
- Food costs
- Packaging
- Delivery-platform economics
The number is the signal.
SIGNAL models how business economics respond when assumptions change. A modeled scenario is not a forecast, guarantee, or automatic diagnosis. The purpose is to help you see where deeper investigation may be worthwhile.