Monitoring Competitors on Black Friday: Seasonal Mode

Anyone who has spent a November Friday glued to a competitor’s website knows it: monitoring competitors on Black Friday is a problem of hours, not days. The same store opens the day with a flash sale, adjusts the depth of the discount at lunchtime and closes the night burning off the stock that never moved. A daily check routine (a spreadsheet, a manual glance in the morning) sees only the first of those three moves, and even then with a delay.

This article is about Batedor’s answer to that mismatch, seasonal mode, which intensifies scanning in a window you define yourself. And about the less-discussed part of the problem: how to run the flood of detections at the peak without drowning in it.

Why the normal rhythm arrives late when the date is critical

For the rest of the year, the standard rhythm is more than enough. A Valentine’s Day campaign stays up for weeks; a price repositioning lasts months; the unit of change is the day, sometimes the week. On Black Friday, the unit of change shrinks to the hour: the market’s typical playbook, the same one Batedor shows in the market calendar inside the forecast, is to shift from percentage discounts to stock clearance and flash sales across the very week of the date. A flash sale, by definition, is born with an hour to die.

The problem is not the data, it is the timestamp. Detecting at 9am the offer that went up at 7am still leaves the whole day to decide; finding out the next day turns intelligence into archaeology. And on Black Friday the cost of that delay is concrete: the offer you saw too late has already captured the search, the coupon you were going to match has already expired.

What to do with the information (discount depth, mechanics, margin protection) is the subject of the Black Friday 2026 playbook. Here the theme is its prerequisite: seeing the competitor’s move while it is still happening.

What seasonal mode changes in seasonal-date monitoring

1. Collection three times more frequent

The scheduler that triggers the scan of your sources goes from a 15-minute cycle to a 5-minute one, and this applies only to your environment: the rest of the base keeps the normal rhythm. In practice, a new Instagram post, a swapped banner on the site or a freshly classified campaign land in the timeline and in the alerts minutes after going live. The alerts themselves (email and bell) were already real time; what changes is how often Batedor goes to the sources to look.

2. Strategic-movement read every hour

Outside seasonal mode, the strategic-movement read (the bell notification that compares the current week with the previous one and flags a change in tone, in cadence, a new channel or a change of format) runs once a day, in the early morning. With the mode on, that check runs every hour. An honest caveat: it is still one consolidated read per day, not 24; the difference is that it comes out as soon as there is fresh data to compare, instead of waiting for the fixed early-morning slot the next day.

3. Window with automatic shutoff

You turn it on for 24h, 3 days, 7 days or 14 days, or until a specific date (the window runs until 23:59 of the chosen day). The panel shows Seasonal mode ACTIVE with the exact date and time of the shutoff, and you can end it earlier with the off button. Once the date passes, monitoring returns to the standard rhythm on its own, with no risk of forgetting the mode left on until February.

When to switch it on: Black Friday, Christmas, Mother’s Day

The general rule: switch it on when the market enters the phase in which the relevant change happens within the day. Before that, in the preparation phase, the normal rhythm covers it well, and the work is different: inventory, mechanics, communication schedule, as described in how to prepare your online store for seasonal dates. The market calendar, inside the panel’s forecast, helps pin down the moment: each date appears with a phase badge (“Plan”, “Time to prepare”, “Final stretch”), the prep window in concrete dates and the market’s typical behavior; once you have history, it also shows how many of your competitors usually launch a campaign on that date and when the first one is likely to start.

• Black Friday: the 7-day preset turned on the Monday of the week covers through Sunday; to include Cyber Monday, use the specific date (30/11 in 2026). It is the window in which the market swaps percentage discounts for flash sales and stock clearance, exactly the kind of mechanic you only catch hour by hour.
• Christmas: campaigns ramp up from the 1st to the 23rd, with growing urgency around delivery deadlines. Intraday matters less than on Black Friday, but the final stretch changes fast because of shipping-cutoff dates: the 14-day preset starting around 10/12 covers the stretch that matters.
• Mother’s Day: the second-biggest date in Brazilian retail; conversion spikes in the week before and on the weekend of the date. The 7-day preset on the preceding Monday does the job.
• Dates in your sector: back-to-school for anyone selling stationery, Consumer Day, or even an announced competitor launch. The mode is agnostic: any window you define.

How to read the explosion of detections without drowning

Collection three times more frequent in a week when every competitor publishes more means volume growing on both ends: the timeline that used to yield half a dozen detections a day can yield dozens. The difference between using this and drowning in it is deciding three things before turning the mode on:

1. Which types matter on the day. The AI classifies each detection into 16 types. During Black Friday week, the short-term actionables are flash sale, stock clearance and coupon; institutional content and branding are left for the Monday read. The type filter on the timeline is your first triage tool.
2. Who can make you change your plan. Not every monitored competitor justifies a reaction. Set aside 2 or 3 direct ones (same category, same audience) with tags or groups and treat the rest as context. A detection from an indirect competitor informs; a detection from a direct competitor prompts action.
3. What the response trigger is. Agree with the team on a sentence like: “if competitor X goes past Y% in the anchor category, we activate the backup offer”. Without an agreed trigger, every detection becomes a meeting, and on the peak Friday no schedule can hold up.

The bell handles the top layer: the strategic-movement read summarizes the day against the previous week and only notifies when the significance is medium or high (high means “you need to react this week”; on Black Friday, read it as “today”). And if the team is on call away from the panel, the Slack, Telegram and WhatsApp channels take the alerts to where the operation already is.

A caveat from someone who has watched plenty of critical dates with the panel open: most of what the competitor does at the peak calls for no response at all. A discount in a category you do not compete in, a flash sale on a stuck SKU, a coupon for its own base: log it and move on. Seasonal mode exists so you can see everything in time and choose the handful of moves that deserve a reaction, not so you can react to everything.

When the date passes, the mode shuts off (and the history stays)

The automatic shutoff returns monitoring to the standard rhythm with no intervention, but what the window gathered stays in the panel: the timeline, the classifications and the metrics history become the raw material for the retrospective. It is worth comparing the peak week with the previous week in the comparison view and documenting what each competitor did, with date and time, while the team’s memory is still fresh: that record is what shortens the prep for the next date.

And you do not need to wait for November to test the flow: any window works, an announced competitor launch, an aggressive turn of the month in your sector. The 14-day trial, no card required, covers an entire seasonal window end to end, from switch-on to automatic shutoff.