Espressly Intelligence demo

Most business owners are not looking for more analytics. They are looking for answers.

Espressly Intelligence helps you understand performance across your Square operation - not just app orders. It can support Square sales visibility, app order trends, location performance, customer/order behavior, and operational insights as available.

Public demo for Cafe Canopic. Fictional shop, believable operating signals, deterministic insight model.

Seller health
84
Strong, with evening pressure rising
Revenue momentum
+14%
Acceleration versus prior 30 days
At-risk regulars
12
Customers showing early decay signals
Customer holding a phone while speaking with a barista at a warm coffee shop counter
Live operating read Thu 8:42 AM

Cafe Canopic

Momentum is healthy. Evening pressure is the constraint.

Morning loyalty patternStrong
Late refund pressureRising
Menu concentrationWatch
Square orders Espressly Intelligence Layer Owner-ready guidance

Live operational insights

The system leads with what matters, not with charts.

Each insight is scoped to a business question, a time window, and a traceable signal. The owner sees the pattern, the meaning, and the next operating move.

Retention signal

Honey Cinnamon Latte buyers before 9 AM return 2.1x more often.

Cafe Canopic regulars appear to form around a specific morning ritual, not just broad coffee demand.

312 matching orders, 30-day repeat window Protect this item during rush and test a morning regulars bundle.
Operational pressure

Refunds rise sharply after 6 PM.

The pattern points to evening shift strain rather than a menu-wide quality issue.

Refund rate 2.8x baseline, 6 PM to close Review staffing handoff and late-day prep coverage.
Customer truth

31% of first-time customers return within 30 days.

The first return is happening, but too many guests are not receiving a reason to come back quickly.

1,084 first-time customers observed Trigger a second-visit path within 10 days of first purchase.
Early warning

12 regular customers may be at risk of churn.

Their visit rhythm slowed before spend disappeared, which gives the shop time to act.

Regular cadence down 38% over 21 days Review customer list before sending broad discounts.
Channel mix

Delivery sales are growing, but repeat quality is lower.

Delivery is adding volume, while in-store and branded-app guests are creating stronger long-term value.

Delivery repeat rate trails in-store by 19 pts Use delivery for discovery, then move guests into owned channels.
Menu dependence

Three items account for 42% of revenue.

The menu is productive, but too dependent on a small set of rush-sensitive items.

Top 3 SKU concentration, trailing 30 days Strengthen attachment items without disrupting the heroes.

Operational health system

A calm read on the business before the owner opens a spreadsheet.

Scores are not vanity badges. They summarize pressure, consistency, customer quality, and risk into an operating snapshot.

Seller Health 84

Healthy with watchpoints

Strong order base, rising evening strain

Business Momentum 78

Accelerating

Order count and repeat behavior both improving

Customer Loyalty Temperature 72

Warm

Regulars are strong, first-return path needs focus

Operational Pressure 67

Elevated

Refund and rush compression signals after 6 PM

Revenue Stability 81

Reliable

Weekday consistency is high outside Tuesday PM

Menu Dependence Risk 58

Needs attention

Top items carry too much of the revenue mix

Customer intelligence

Retention becomes visible before the owner feels it in revenue.

Espressly looks at customer rhythm: who returned, who faded, how quickly they came back, and which acquisition paths create durable regulars.

First-time customer cohorts 30-day retention
Jan 286 new 94 retained 33%
Feb 301 new 101 retained 34%
Mar 332 new 118 retained 36%
Apr 356 new 127 retained 36%
May 391 new 121 retained 31%

May acquisition increased, but repeat quality softened. The system flags the opportunity before June revenue tells the story.

12 days time-to-second-visit threshold

Guests who return within 12 days are 4.3x more likely to become long-term regulars.

61% first-time customers never returned

The opportunity is not more traffic first. It is better second-visit conversion.

18% stronger morning retention

Morning customers demonstrate the most durable repeat behavior.

$46 higher 90-day spend path

Customers who attach overnight oats spend more over the next 90 days.

Menu intelligence

The engine separates volume from loyalty, attachment from noise, and hero items from risky dependence.

Concentration risk

42%

of revenue depends on only three items.

That is not bad by itself. It means the owner should protect those items operationally and build safer attachment paths around them.

Loyalty driver

Cardamom Cold Brew

+28%

Unusually high repeat behavior after first purchase.

False hero

Blueberry Muffin

High volume

Strong transactions, weak retention after purchase.

Attachment engine

Tahini Cookie

38%

Highest cross-sell attachment rate on the menu.

Fast return item

Citrus Matcha

14 days

Buyers are most likely to return within two weeks.

Operational flow

A living business heartbeat monitor.

Rush compression, staffing efficiency, traffic volatility, payouts, refunds, and hourly performance live together as one operational read.

Today by hour Pressure rises after 6 PM
6a
8a
10a
12p
2p
4p
6p
8p

Saturday mornings concentrate the highest-retention customers.

Tuesday afternoons show the lowest revenue-per-labor-hour efficiency.

Payout cadence is stable, but delivery mix creates more daily volatility.

Late-hour ticket collapse appears before refund spikes.

Ask Cafe Canopic

Ask grounded operating questions. Get evidence-backed answers.

This is how the intelligence layer becomes a 24/7 operational consultant: calm, specific, traceable, and focused on what the owner can do next.

Espressly Intelligence

Cafe Canopic answer

What should the owner focus on today?

Focus today on evening stability. The business is growing, but Cafe Canopic is giving back too much quality after 6 PM. Review the handoff between afternoon prep and closing shift, then protect the Honey Cinnamon Latte morning pattern because it is creating durable regulars.

Trace

Sources: refund window, item retention, hourly order volatility, 30-day repeat behavior.

What would your business reveal?

See what is actually happening inside your business.

Connect Square and let Espressly turn your orders, customers, menu, refunds, payouts, and operating rhythm into a clear intelligence report.