Calculate the economics of a promo on your flagship
The platform is inviting you into a promo and the answer is due Friday. The agent works out how much you must sell at the discount to keep profit level.
Medium · 20 min · on an event
What you get
a breakdown in the reply · on an event
−20% for 14 days, price 4,990 → 3,990 ₽ Margin per unit 1,240 ₽ → 610 ₽ You'd need to sell +103% over normal volume The edge an extra 8% in fees puts it in the red Not included: returns and the penalty for leaving early. The figure that moves the answer most is 1C cost price.
A sample on made-up data; your numbers will be your own.
Who it fits
- The platform is inviting you in and you need to know if the item survives the discount.
- The last promo brought turnover but no extra profit, and this time you want the math first.
When it won't work
Cost price in 1C is out of date: the whole calculation stands on it, so a wrong purchase price breaks it.
How the agent does it
Gather the costs
Say what goes into cost price and how much ad spend belongs to this item. A missing line doesn't shrink the result, it flips it.
Run the numbers
Margin before and after the discount is calculated on the same cost base. Unaccounted items stay in a separate block instead of becoming averages.
Test the assumptions
A promo decision is made once, for the whole period. The agent names the figure the conclusion depends on most.
What you set
Connect Ozon, Wildberries and 1C. Manually: the discount and promo dates, what counts as cost price, and the share of ad spend you put on this item.
What you'll need
Starter prompt
Copy the prompt or open it straight in a chat with the agent.
Calculate the economics of a [discount size] promo on [article number / product] on [Ozon / Wildberries] for [period]. Take the current price and the platform commission, cost from 1C, logistics, storage, acquiring and [ad cost share] for this product. Calculate margin per unit now and with the discount, the break-even sales uplift in units and percent, and profit in three scenarios: sales [+X%], [+Y%], [+Z%]. If I didn't specify some cost item, don't take a market average; put it as a "not accounted for" line and show how it moves the result. Separately calculate the cannibalisation effect: how many sales will shift from [adjacent article numbers] and what that means for profit across the group. Output a scenario table, the loss point and one line: at what uplift the promo makes sense.
Open in chatCheck the promo calculation. List: - cost items missing from the calculation, and how each one moves the break-even point; - which cost you took: the last purchase, the average or the one from the 1C card; - commission and logistics: as of what date they were taken and whether they changed over the period; - uplift scenarios: what the percentages are based on, a past promo or you picked them yourself; - what isn't accounted for: returns, change in search position, penalties for leaving the promo. Say outright which single figure influences the conclusion the most and how confident I should be in it.
A second prompt: the agent uses it to review its own work and show what's left for you.