Pakistani hospitality runs on relationships — but most restaurants can't say who their best guests actually are. Guest analytics turns a captain's memory into something the whole floor can use.
A good captain remembers faces. He knows the family that comes every second Friday, the regular who takes his chai a particular way, the couple who always want the corner banquette. The problem is that this knowledge lives inside one man's head. On his night off — or the month he leaves for a better offer down the road — it walks out with him. You've served thousands of guests. Tonight, you can name a dozen.
That recognition is the real edge a neighbourhood restaurant holds over any chain with a bigger marketing budget. But a relationship you can't see, you can't scale — and you can't hand it to a new server on his first Saturday shift.
What the numbers already know
Every booking through Seated RMS leaves a trail: who came, how often, party size, what they spent. On its own, that's rows in a database. Seated Analytics reads it back as a person — visit frequency, revenue per guest, regulars against one-timers, and the ones who've gone quiet. The memory stops being one captain's and becomes the whole floor's.
Three moves that pay off
Start with one number worth sitting with. A small core of your guests drives most of what you take in a month. Look after that core on purpose and the maths tips your way; ignore it and you spend your energy on tables that come once and vanish. The chart below is a model, not a measurement — but the shape holds in almost every dining room.
Where the revenue comes from
Illustrative| Category | share of revenue |
|---|---|
| Top 20% — your regulars | 55% |
| Next 30% | 30% |
| Bottom 50% — one-timers | 15% |
Illustrative model, not audited data: a small core of regular guests tends to drive a large share of a restaurant's revenue. Figures show the typical shape, not any single restaurant's numbers.
Know your regulars
Sort your guests by visits. The names with eight, ten, fifteen bookings behind them are your core — flag them. When one lands on tonight's book, the captain knows before the guest is through the door: greet him by name, have the corner banquette ready. Because Seated Analytics holds this per branch, a regular at your Lahore room is recognised by a server who has never worked that floor. That one beat of recognition is the difference between a nice meal and a place someone calls their own.
Spot the drifters
The regulars still coming are the easy list. The harder one is the regulars who've stopped. A guest who came every fortnight and hasn't been in for ten weeks rarely decided to leave — usually nobody clocked the gap. Guest analytics surfaces them: strong history, long silence. That's your win-back list. A short WhatsApp — we've missed you, there's a table with your name on it this weekend — lands differently when it reaches someone who used to love the place.
The most valuable list in your restaurant isn't your regulars. It's the regulars who've quietly stopped coming.
Reward the top table
Revenue per guest tells you who spends, not just who shows up. Put frequency and spend side by side and your real VIPs surface — the table worth holding on a packed Saturday, worth the dessert that never reaches the bill, worth the manager walking over to say hello. These are the guests who bring the party of eight for a birthday and recommend you without being asked. It costs almost nothing and buys a loyalty no discount can match.
Seat and pace to your strengths
The same data reads forward, not only back. Seated Analytics shows your busiest days and service slots and your typical party sizes, so you can pace the kitchen for the rush you actually get and hold the right tables for the bookings that actually come. Fewer guessed covers. Fewer empty two-tops at eight on a Friday.
None of this asks your staff to remember more. It asks the system to remember, so the floor is free to do the warm, human part. Every booking you take is already writing this history. Want to see who your best guests are? Book a walkthrough and we'll sort your own guest list in front of you.
About this data — The revenue-concentration chart is an illustrative model, not audited data from any restaurant — it shows the typical shape of guest revenue, where a small core of regulars drives a large share. Product status: Seated RMS and Seated Analytics are live; Seated GSS is in pilot; the Loyalty Wallet punch card and POS are rolling out and not yet available. The guest analytics described here — visit frequency, spend, revenue per guest, regulars vs one-timers, and lapsing regulars — live inside Seated Analytics, drawing on booking history captured in Seated RMS.