Comparing your outlets week by week on Swiggy and Zomato
· 6 min read
A brand-level total can hide a lot. One branch can be growing nicely while another quietly slows, and the total looks steady. The table multi-outlet operators build by hand — one row per outlet, one column per week — is the quickest way to see which branch needs attention this week.
Three figures, one at a time
- Completed orders — with growth on the period before and the change in orders, because “down 10%” means something different at 30 orders and at 400.
- Discount % — the discount the restaurant funded as a share of item total plus packing.
- Advertising % — ad spend as a share of the same base.
A sample fortnight
| Outlet | Wk 37 | Wk 38 | Change |
|---|---|---|---|
| Adyar | 412 | 368 | −10.7% · −44 orders |
| Velachery | 290 | 301 | +3.8% · +11 orders |
| Anna Nagar | 188 | 205 | +9.0% · +17 orders |
| T Nagar | 355 | 352 | −0.8% · −3 orders |
The brand is down 19 orders in total — barely a movement. Outlet by outlet, Adyar stands out at 44 fewer orders, while Anna Nagar is growing. That is the conversation to have this week, and the brand total would not have started it.
Read a percentage's change in points
When discount goes from 4% to 5% of sales, it is tempting to call that 25% growth. It is more useful to say it rose by one percentage point: one more rupee of every hundred went to offers. Points can be compared across outlets of any size; growth on a percentage cannot.
Total the sums, not the percentages
For the brand's total row, add up the rupees first and then work out the share. An outlet with ₹10,000 of sales and a 50% discount, beside one with ₹90,000 and none, is a brand discounting 5% of its sales — not 25%, which is what averaging the two percentages would say.
Narrow it down
- One weekday at a time — Mondays across every week — to compare like with like.
- One part of the day, such as dinner, to see which branch's evenings are moving.
- Mark a period the range only partly covers, so a half week is not read as a slow one.
Advertising is billed for a period rather than for a weekday or an hour, so it cannot be split that way — when you narrow to a weekday or a part of the day, leave the ad share out rather than estimate it.
MenuMetrics' Outlet trends builds this table from the files you already upload: every outlet against every day, week or month, orders, discount % and ad % with the change between periods, a total worked from the sums, and a workbook to download.
Reconcile every payout, not a sample
MenuMetricsreads the Swiggy and Zomato reports you already download and checks every order against what settled. Start with last month’s file.