New Report: "Trends" for Like-for-Like Analysis
The new "Trends" report in Fudov Smart helps you compare revenue, order count, and average check across comparable periods — from the last three weeks to scenarios like "two years ago, last year, now."
This kind of like-for-like (LFL) analysis shows which changes in your numbers come from network growth, and which come from seasonality, promotions, or shifts in order structure.
The idea for the "Trends" report came from our partner Dmitry Danilov, from the Moscow-based restaurant group "Vkus i Losos". We realized this kind of period-comparison format would be useful for many Fudov Smart users, so we built the report at our own expense.
The Goal of the Report
The "Trends" report gives management teams a convenient tool for regularly comparing key metrics across comparable periods. It helps assess organic growth, compare dynamics across different time slices, and see how operational changes affect revenue, order count, and average check.
How the Idea Came About
The initiative started from a practical need. The management team at "Vkus i Losos" formulated the request: they needed a dashboard for comparing key metrics across locations, period over period.
In that request, the team laid out the core metrics, levels of detail, and period options they needed for regular analysis. Based on that prototype, we put together a technical spec and built the report using our existing library of calculation modules for Syrve data. That let us ship the solution quickly and then roll it out to other Fudov Smart clients.
Configuration and Comparable Periods
At the top of the report, you set the analysis parameters:
- A start date, from which the comparable periods are calculated
- Locations
- Order types — delivery, pickup, dine-in, pre-orders, and others
- Order sources — website, app, aggregators, etc.
- A filter to exclude negligible orders
You separately choose the period comparison format. The report supports:
- Friday–Sunday, last three weeks
- Monday–Thursday, last three weeks
- Monday–Sunday, last three weeks
- First, second, or third ten-day period of the last three months
- First, second, and third ten-day periods of a selected month
- Last three full months
- LFL: same month two years ago, last year, and now
- LFL: month-to-date two years ago, last year, and now
This lets you pick the intervals that actually match how a specific chain runs its business — comparing weekdays and weekends separately, analyzing ten-day periods, or looking at months on a like-for-like basis.
Metrics in the Report
Once the filters are set, the report shows three core metrics:
- Revenue for the period, broken down by selected locations and periods
- Order count for the period, reflecting changes in traffic
- Average check for the period, showing what's actually driving revenue up or down
Each period is color-coded, making it easy to visually compare dynamics across several time slices and locations at once. This format helps you quickly see where changes come from order volume, where they come from average check, and where it's a mix of both.
The Practical Value of Like-for-Like Analysis
Using the "Trends" report helps you:
- Assess organic growth without distortion from newly opened locations
- Compare the results of marketing campaigns across structurally identical periods
- Spot locations that consistently outperform or lag behind the network as a whole
- Separate the contribution of traffic and average check to overall revenue dynamics
Thanks to the pre-configured period options, the report is easy to fold into regular management reporting and use as the main dashboard for reviewing results.
Custom Dashboards Built on Syrve
The story behind the "Trends" report is a good example of how a specific partner request turns into a tool that ends up useful for the whole platform. We've built similar reports before — for sales dynamics, cook/delivery time control, and labor cost share of revenue — each one starting from one client's practical need.
The report is already available in our demo account and included for all Fudov Smart subscribers.
If you have an idea for a report or dashboard built on Syrve data that would make running a restaurant or delivery service easier, tell our support team about it. We'll help you scope the requirements, assess feasibility, and, if needed, build a custom solution on Fudov Smart.
Since 2022, we've been building integrations with Syrve and developing reports like this one. Besides analytics, we offer our own courier app and WhatsApp/Telegram bots that help eliminate manual routine and take restaurant and delivery automation to the next level. If you're interested, message our support team — we'll set you up with a free trial so you can see the value on your own data.