Allegro Ads scheduling — how to choose the right days and hours for your campaigns

Scheduling in Allegro Ads is one of the most underrated campaign optimisation tools. Plenty of sellers leave their ads running continuously without ever checking which days and hours actually produce sales.

The result can be budget spent at times of day that rarely convert.

In this article we cover:

what campaign scheduling in Allegro Ads is,
how to set an hourly schedule,
when limiting your ad hours may help,
how to read your performance data before you change anything.

What is scheduling in Allegro Ads?

Allegro Ads scheduling lets you decide:

which days of the week an ad should be active,
what hours it should appear,
when it should stop running altogether.

Which means you do not have to advertise your listings 24/7.

You can match when your ads run to:

your busiest selling hours,
your team's availability,
seasonality,
how your customers behave.

Hourly scheduling – when does it make sense?

Hourly scheduling in Allegro Ads matters most when:

your daily budget runs out quickly,
sales happen mainly at particular times of day,
the campaign generates clicks but few conversions overnight,
you care about keeping ROAS under control.

For example:
if 80% of your orders come in between 8:00 and 22:00, running ads overnight may cost more than it returns.

How do you set up a campaign schedule in Allegro Ads?

In the Allegro Ads panel you can:

go to the campaign settings,
open the ad scheduling section,
choose the days of the week and the active hours,
save the changes.

The most common patterns:

running on weekdays only,
running during business hours,
pushing harder at weekends,
switching off the overnight hours.

Is limiting the schedule always worth it?

Not always.

If:

your budget does not run out before the end of the day,
the campaign delivers a consistent ROAS,
sales are spread evenly across the day,

a schedule may not be necessary at all.

Scheduling is more likely to help when:

your daily budget is used up before midday,
ROAS drops sharply at certain hours,
spend continues at times that rarely convert.

The most common mistakes when scheduling Allegro Ads

setting a schedule without looking at the data,
copying settings across from other campaigns,
switching off selling hours without testing,
not monitoring anything after the change,
reacting too late, after weeks of losses.

A schedule should follow your performance data, not your intuition.

How to read the data before you change the schedule

Before you start restricting anything, it is worth checking:

sales by hour,
click costs by hour,
ROAS by day of the week,
the moment your budget runs out.

If your daily budget is used up by 11:00, your ads cannot generate sales for the rest of the day.

In that situation scheduling is one option to test — others include better budget allocation or bid optimisation.

Scheduling and campaign automation

More and more sellers use Allegro Ads automation. In that model the schedule can:

be set by hand,
adjust dynamically to your sales data,
be tied to margin or profitability.

In practice that means the system can:

reduce activity during low-conversion hours,
increase it when performance is strong,
react faster than manual optimisation.

In Senvio the campaign schedule is one part of a wider analysis — it tracks sales, budget and hour-by-hour performance, and can suggest changes when the data points to ads running at the wrong times.

Does Allegro Ads scheduling increase sales?

A schedule on its own does not increase sales.

But it may:

improve ROAS,
reduce spend at times that rarely convert,
keep your ads running for more of the day,
make campaign performance more consistent.

It is a cost-control tool, not a magic button.

In summary

Allegro Ads scheduling is a simple tool that can improve campaign efficiency, though it will not help every account. If your budget runs out too quickly, or your ads spend without converting at particular hours, it is worth reviewing the performance data and testing a narrower schedule.

The key is a decision based on data — not on guesswork.