Individual thesis, which is then compared with each other after a certain period of time. Here too, the Business Manager offers various optimization options: A/B tests : Various elements are tested. Facebook creates two identical target groups and delivers the test ad to them. The result is a “winning” ad that will likely produce better results next time. Holdout tests : A proportion of 10% of the target group is held back (does not receive any advertising) and the key figures of the campaign, e.g. leads or sales, are compared with this group. This can be particularly helpful if you want to test the general campaign effectiveness. Brand study .
The advertising is shown to
a target group who then receives a survey. These results are DB to Data then used to evaluate how strong the campaign’s brand impact was. The comparison target group is a holdout group. In the case of automatic tests, the process runs on collected user data, which is supplied by Facebook, for example. This can be advertising data, user behavior or even user characteristics.
With the help of artificial intelligence, or AI for short, this collected data is analyzed and the campaign is delivered automatically and optimized. To do this, the following must be taken into account. Define as few ad groups as possibleSet various variants at the start, do not adjust them during a campaign
As much information as possible
In the adDefine the broadest possible target group Use Asia Email List dynamic ads. The evaluation of the testsAs a rule, it can be said that a test should run for around four weeks so that enough data can be collected. However, the performance should be checked weekly in order to end the test earlier if necessary. Some typical KPIs for evaluating the tests are. ImpressionsRange CTRNumber of clicks Number of visits Bounce rate Conversion rateIn addition to the possibility of test evaluation using KPIs, the evaluation could also be carried out using an attribution model .