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How to understand Adspert’s Daily Cost Limit recommendation

Karin Hollstein avatar
Written by Karin Hollstein
Updated this week

This article is intended for users who are unsure which Daily Cost Limit value to start with and want to understand how Adspert’s recommendation should be interpreted.

The recommendation is not a performance promise and not a calculation of the “best” or “most profitable” spend level.

It is a historical reference point designed to help you start optimization from your current spending reality.

What the Daily Cost Limit represents

The Daily Cost Limit defines the daily spend target for a Performance Group.

  • It is a target value, not a hard cap.

  • Adspert aims to optimize towards this value over time.

  • Actual daily spend can be higher or lower on individual days.

  • Short-term deviations are expected due to performance fluctuations.

The Daily Cost Limit provides Adspert with direction, not a strict spending ceiling.

What the Recommendation is — and what it is not

What it is

  • The average daily spend of the campaigns in the Performance Group

  • Calculated over the last 30 days

  • A starting value for optimization

What it is not

  • It is not the “best” value on the market

  • It is not calculated based on the best cost–revenue ratio

  • It is not a prediction of future performance

  • It does not mean “this is the value at which you will sell the most”

Adspert does not decide how much you should spend — it reflects how much you have been spending.

How the recommendation is calculated

Once campaigns are added to a Performance Group, Adspert:

  1. Looks at the total spend of those campaigns

  2. Considers the last 30 days

  3. Calculates the average daily spend

This average is shown as the recommended Daily Cost Limit.

Example

  • Total spend in the last 30 days: €3,000

  • Days considered: 30

Average daily spend: €3,000 ÷ 30 = €100

Recommended Daily Cost Limit: €100

This allows Adspert to start optimizing without immediately shifting spend behavior.

Why Adspert Uses the Historical Average

At the beginning of optimization, Adspert intentionally avoids recommending values that are far from the current spend level.

Starting from the historical average helps to:

  • Keep learning stable

  • Avoid abrupt changes in spend direction

  • Build reliable performance data

Once sufficient data is available, data-informed decisions become possible — for example by adjusting the Daily Cost Limit or reviewing performance scenarios.

Special Case: Newly started or recently active campaigns

If campaigns have only been spending for a short time, the recommendation may appear low.

Example

  • Campaigns active for 7 days

  • Average spend during those days: €50/day

  • Total spend: €350

Adspert calculation:

  • €350 ÷ 30 = ~€12/day

Recommended Daily Cost Limit: ~€12

This happens because Adspert always averages over 30 days, even if campaigns were inactive during part of that time.

How to set up the goal value of campaigns with few or no historical data

When campaigns have little history

If campaigns have not been running for around 30 days, historical averages are often not meaningful yet.

In this situation:

  • Adspert cannot determine what you want to spend

  • The system does not know your internal advertising budget

  • There is no universally “correct” starting value

Adspert (and the Adspert team) cannot decide your budget for you.

How to choose a starting value without history

When no meaningful historical data exists:

  • Choose a Daily Cost Limit that reflects what you are comfortable testing

  • Treat this phase as exploration

  • Expect to adjust the value gradually once data becomes available

There is no general minimum or recommended daily spend that applies to all accounts.

Examples:

  • €10/day may be too low if you run many campaigns with many criteria

  • €10/day may be sufficient for niche products with few campaigns

  • Broader setups usually require higher targets

  • Narrow setups can work with lower targets

After the initial Learning Status

Once sufficient data has been collected:

  • Adspert can provide data-driven recommendations

  • Adjustments should usually not be made before ~7 days

  • You can then:

    • Increase or decrease the Daily Cost Limit

    • Change the goal type

    • Review potential outcomes using the Scenario Tool

At this stage, decisions are based on observed performance, not historical averages alone.

Key Takeaways

  • The Daily Cost Limit is a daily spend target

  • The recommendation is based on average historical spend of the sum of the campaigns in this Performance Group

  • It is not an necessarily optimal or “best” value

  • With little or no data, manual judgement is required

  • Meaningful optimization happens after data is collected

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