The nexoya platform allows you to get campaign optimization proposals on your running ads (by ad we mean the marketing asset which has a certain budget assigned and generate certain performance – can be campaign ad, ad-set, or simply an ad). These proposals contain advice on how the budget can be allocated most efficiently for the upcoming period. This article will give you insights into how campaign optimization works and which steps nexoya takes to deliver you the best possible budget allocation.

When you initially connect to nexoya, the platform reads all historical data corresponding to your marketing data sources including cost and performance metrics and then starts analyzing them.

Once you see the data in the nexoya platform you can define your cross-channel campaign. This means that you select your ads you would like to optimize, provide the budget you would like to spend on them, and define additional optimization options you would like to be considered like risk-level  Once the cross-channel campaign is set up, an artificial intelligence model is run which predicts the future performance of all your ads. For instance, how many impressions or conversions you will get next week. Nexoya uses a sophisticated selection of different artificial intelligence models, which ensures that for each metric we use the best prediction model available.

As a next step, these predictions are used by the next AI algorithm to calculate the best possible allocation of your budget for all your ads being part of a cross-channel campaign. The results are presented to you within the optimize tab of nexoya, showing you the budget proposals for the upcoming period or directly being applied for you. (available in early adopter programs).

Last but not least, after the analyzed period comes to an end, nexoya platform provides you the assessment of the ads optimization. You can see how much performance you achieved in comparison to the scenario when no optimization would have been performed. This gives you a clear view of the added-value the optimization brings you.

The process can be summarized by following steps:

  1. Reading data from all connected ad-platforms
  2. Normalize & standardize all data (for instance timezones, currencies, etc.)
  3. Predict the performance of the ads for an optimized period
  4. Calculate the optimal allocation of your budget
  5. Display the budget optimal allocation across your ads and apply the budget automatically / on-demand (only available in early adopter program)
  6. Assess the effectiveness of campaign optimisation after period ends

We will continuously extend these articles to help you understand more about how campaign optimization works and how to leverage it best.

If you are interested in joining the early adopter program to get all the latest features of the campaign optimization, please drop us a note: Join the early adopter program

Other relevant articles

Was this post helpful?