Blog Automated campaign rules
15.05.2020

Automated campaign rules

Automated rules allow to automatically optimize an ad campaign as well as schedule specified actions with predefined frequency for a single ad campaign or multiple ad campaigns.

Why do we need automated rules?

To simplify the process of optimization while working with a big number of ad campaigns. For example, automated rules enable switching off domains with too high CPC or exclude advertising networks with low CTR.

A step-by-step rule configuration

Name

Specify the rule name.

Time period

The maximal possible period for the rule to be active in two months. Upon its expiry, you can reactivate the rule. To do so, you need to edit the rule and enter the new period.

Action

Specify the action that the rule is supposed to perform. Several options are available:

Condition

Specify conditions under which the action mentioned above will be performed. Conditions are separated by logical AND or logical OR to express the way the conditions interact with each other. All key metrics from the ad campaign stats are available as conditions. 

The maximal number of conditions is 10.

Examples of conditions:

The action "Switch off domains/applications" requires two conditions separated by logical AND. It ensures that domains with too small amount of statistical data under your ad campaign are not switched off. In the last case the main condition (CTR < 0.1) is supplemented by an additional one ("Impressions > 800"). It is so to make sure that the rule will not switch off domains that had too few impressions (for example, 1, 2, 3) so that it is hard to evaluate the ad space metrics (CTR, CPC, CPM, etc.) under the current ad campaign.

Apply to campaigns

Specify which ad campaigns the rule is supposed to work with. You can choose campaigns from various advertisers. The maximal number of ad campaigns is 100.

Frequency of implementation

Specify when to perform the rule. Choose also which stats period will be used while checking that the conditions are being fulfilled.

Case. We take data from the example above. Our rule is performed daily at 9 am and uses stats from the past seven days. Let’s suppose that we created the rule on December 16 at 1.30 pm. It means that the rule will launch for the first time on December 17 at 9 am and will use the stats from December 10 till December 16. The second launch will be on December 18 at 9 am with the use of the stats from December 11 till December 17. And so on.

Case. The example of the frequency type “The same day”. Let’s suppose we created the rule on December 16 at 1.30 pm with the frequency specified as “The same day” at 11 pm with the use of stats from the same day. In this case, the first launch will be on December 16 at 11 pm with the use of stats from December 16 from 12 am till 11 pm.

Detailed example:

Current date: December 16

We created three ad campaigns, each of which is connected to 2 SSPs (SSP1, SSP2).


Task: For each campaign automatically switch off inefficient SSPs having less than 2000 impressions and less than two clicks per day during the past three days.

Creating the rule:
  1. Impressions > 2000
  2. AND
  3. Clicks < 2
  1. Campaign 1
  2. Campaign 2
  3. Campaign 3
  1. Daily
  2. at 05 pm
  3. using stats from the “Last 3 days”

The campaigns are set to be launched on December 16 at 1.26 pm. The ad campaign has started.

December 16 has passed.

The first launch of the rule: December 17, 5 am

The rule checks SSPs from the three campaigns specified in the rule using stats from the past three days (from December 14 till December 16). Stats show that SSP1 in Campaign 2 collected 3000 impressions and one click. The data meet conditions for switching off the given SSP specified in the rule. The rule thus switches off SSP1 in Campaign 2.

December 17 has passed.

The second launch of the rule: December 18, 5 am

The rule checks the stats from the past three days (December 15-17), which reveal that SSP2 in Campaign 2 collected 2100 impressions and 0 clicks. The rule switches off SSP2 in Campaign 2. Campaign 2 stops as it has no more active SSPs. 

December 18 has passed.

\

The third launch of the rule: December 19, 5 am

The rule once again checks the stats (this time from December 16 till December 18). The data shows that not a single SSP meets the conditions. The rule thus leaves all SSPs intact.

December 19 has passed.

The rule makes another data scan (from the period between December 17 and December 19). The stats show that within the specified time period SSP1 in Campaign 1 has 2300 impressions and 1 click. The rule switches off SSP1 in Campaign 1.

The rule continues working till the end of the given time period (February 16) switching off SSPs according to conditions specified in the rule.

Notifications

If needed, you can set up email notifications upon each implementation of the rule or in case of error.

History of changes 

Track user changes in the ad campaign in the “History” subsection.