The performance summary section displays key performance metrics for the selected budget optimisation scenario. Each scenario is presented in its own card, containing the metrics associated with it.
1. The “Actual data” card displays a summary of the actual campaign performance metrics for the selected date period. The values in this card update based on the date selected in the date picker and the configured lookback window. You can adjust the lookback window directly in the “Actual data” card.
2. The other cards display the scenarios created for your Budget Optimiser configuration. Each card provides a summary of the budget optimisation simulation based on the input configuration values, including optimisation targets, lookback windows, and allocation constraints.
By default, each new configuration includes two preset scenarios: “More Conversions” and “Maintain Ad Spend”. You can edit or delete these by clicking More → Edit scenarios and then selecting the scenario you want to modify or remove. Alternatively, you can add new scenarios by clicking "Add scenario".
More information on how to setup scenarios can be found in the article working with optimisation scenarios.
3. If a scenario is optimised for 'Revenue', the scenario card will display the total proposed Revenue and ROAS (Return on Ad Spend) on top of Ad spend.
4. If a scenario is optimised for 'Conversions', the scenario card will display the total proposed Conversions and CPA (Cost Per Action), on top of Ad spend.
How to interpret the data in scenario cards
Let's imagine we are analysing a budget optimisation scenario designed to increase 'Conversions'. In this example, the scenario was set with a target of 18,000 conversions and uses a 30 day lookback window, with no allocation constraints applied.
If we select 17 June 2026 in the date picker, the scenario results are calculated using data from the preceding 30 days, covering the period from 18 May to 17 June.
Therefore, the metrics shown in the scenario card can be interpreted as follows:
Ad spend: the Budget Optimiser model recommends an Ad spend of €295.1K, which is 1% lower than the actual spend during the same period (shown in the Actual data card). According to the model, investing this amount and distributing it across channels as recommended would have been the most efficient way to achieve the conversion target.
More details about the budget distribution across channels and campaigns can be found in the Budget Optimiser recommendations.Conversions: the scenario is built around a target of 18,000 conversions. To reach this goal, the Budget Optimiser models both the required investment and the optimal allocation. In this example, the projected result is 18,000 conversions, as defined in our input target, representing a 9% increase compared with the actual conversions achieved during the same period.
CPA: Based on the recommended spend and projected conversions, the model estimates a CPA of €16.40, which is 2% lower than the actual CPA recorded during the same period.
Together, these metrics show the expected outcome if the recommended budget and allocation had been applied throughout the selected lookback period.
As mentioned previously, it is important to remember that the Budget Optimiser analyses historical performance data and does not predict future results. The recommendations and outcomes presented should therefore be viewed as a retrospective assessment of what could have happened under different budget allocations, providing insights that can help inform future budgeting decisions.