Mondiad Case Study: Optimisation Rules + Audiences

Continuing the series of Mondiad case studies, where we showcase our users experience with our internal tools, let’s take a look at how Mondiad optimization rules can become a game-changer when it comes to faster results, better campaign performance, and easier workflow.

To clear the air, if you don’t already know what we are talking about, the Mondiad optimisation rules refer to our in-house tool that allows advertisers to combine specific parameters to create automated rules around their creatives, subids, zoneids and campaigns. The logic behind them is very simple, working on the principle of if x then y condition.

Similarly, an audience refers to a list of ZoneIDs/SubIDs/Domains an advertiser creates and collects from running a Mondiad ad campaign. Audience lists can then later be used in future campaigns as Whitelist or Blacklist sources, to either be targeted or excluded from targeting.


The campaign setup
Offer type, Niche Webcams
Ad formats(s) Banner
Targeting USA, mobile
Budget 500$
Bidding CPM
Creatives multiple
Delivery 3 impressions per 24 hours per campaign
Running period 1 month


Our campaign goal is to  improve conversions by automatically identifying the best targeting segments.


Rules created

Since we’ve now got the basics out the way, let’s move on to the real deal. For this campaign, we are going to create a set of optimization rules, all set around the SubID parameter, in order to discover which ones convert best and which ones are underperforming. This fine-tuning is crucial for us in making better targeting decisions and saving costs.

Mondiad audiences refer to a list of ZoneIds/SubIds collected by an advertiser and available to be used for other campaigns as Whitelist/Blacklist default sources. In this case, we are using 2 audience lists which have gathered data from other campaigns in the past, and which we will continue using in future campaigns.


Reports & optimizations done

Checking the reports after a while, we can see right from the start, how SubIDs that were not following the conditions were automatically deactivated. For example, look at the impressions and the CTR metrics highlighted below, demonstrating rule #3 is doing its job perfectly.

Magic, isn’t it?! Let’s take a look at another example, this time for rule #2.

Additional proof of our SubID categorization process can also be shown in the below blacklist which has collected all the unproductive segments caught by our optimization rules, and additionally, the audience lists created for later optimizations.


Final remarks

In conclusion, leveraging optimization rules is great asset in modern advertising, providing significantly faster and more granular insights into your campaign performance. And you know what they say… time is money!

Whether you are looking to fine-tune your targeting, refine ad creatives, or allocate budgets more efficiently, our optimization rules are one click away.

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