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Compare this month with last by revenue and orders

The owner asks one question: better or worse, and by how much. Both months are counted by a single rule, with the caveats spelled out.

Easy · 15 min · once a month

What you get

May → June, revenue by shipment
Metric              May        June       Δ
Revenue, ₽    8,420,000   9,110,000     +8%
Orders            3,180       3,210      +1%
Avg order, ₽      2,648       2,838      +7%
Growth came from order value, not order count.
But June had 21 working days against 19, and one
640,000 ₽ order accounts for a third of the gain.

A sample on made-up data — your numbers will be your own.

Who it fits

  • Once a month the board needs the same table, counted the same way as last time.
  • You want to know fast whether growth came from order count or order value — different stories.

When it won't work

The month isn't closed yet: some shipments and returns land later and the comparison drifts.

How the agent does it

1

Name months and rule

Say whether we count by shipment or by payment. Mixing the two bases shifts the answer by tens of percent on identical data.

2

Run the comparison

Both months go through one rule. Everything that makes them different — holidays, promos, working days — is listed separately, not averaged away.

3

Check before sending

Ask the agent to review its own work: where one large order created the growth, and where a percentage sits on a base too small to mean anything.

What you set

Connect Ozon, Wildberries and 1C. From you: which two months to compare and what counts as revenue — shipment or payment.

What you'll need

Ozon
Wildberries

Starter prompt

Copy the prompt or open it straight in a chat with the agent.

Prompt for the agent

Compare [month] with [the previous month] across Ozon, Wildberries and 1C sales. Show revenue, order count, average order value and returns — in total, by channel and by category. For each row give the change in rubles and in percent and state what produced it: more orders or a higher average order value. List separately everything that makes the months non-comparable: a different number of working days, marketplace promos, a large one-off order, unsettled returns. Show large one-off deals both in the total figure and as a separate "excluding one-offs" line. Count revenue by [shipment / payment] — the same way for both months. Output a comparison table and the five categories that drove most of the change.

Open in chat
Check the result

Review the comparison. List: — differences between the months unrelated to demand: working days, promos, holidays; — rows where the growth came from a single large order — show the figure without it; — categories where the comparison base is under [50] orders and the percentages mean nothing; — returns that belong to the previous month but landed in the current one; — which percentages were calculated off a small base and look bigger than they are.

A second prompt — the agent uses it to review its own work and show what's left for you.

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