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More Efficient Campaigns with PPC Tuner

PPC Bee helps you to easily create and manage campaigns with millions of products. However, the sheer amount of generated data can make automation a bit complicated.
A generator that’s been set up incorrectly or a dirty data feed can lead to the creation of wrong keywords or other product campaign elements which can be easily missed due to the large data size.

Unfortunately, not even a campaign that’s been set up correctly can guarantee you a long-term success all by itself. Annually, 15% of search queries are completely new [1] which demonstrates the huge variability and changeability of the world your product campaigns are exposed to. We all know that editing ads every time the stock changes is impractical, and the same goes for users’ search patterns as it’s impossible for campaigns to constantly reflect on-going changes.

PPC Tuner is here to solve all of these problems

PPC Tuner is based on a mechanism that proposes campaign edits. The proposals come in four categories, depending on their mechanically estimated quality. Each proposal can be either accepted or declined by clicking the “ignore” button. The accepted proposal will be applied the next time your campaign is synchronized. All user actions can be looked up in History and reversed if necessary.

To be specific for a moment…

Currently, PPC Tuner analyzes Google Ads reports, finds keywords that are frequently displayed in your campaign despite their low conversion rate or quality, and proposes for them to be stopped. This usually concerns keywords that are too general or outright lack relevance. Removing such keywords from the campaign saves you budget resources both directly and indirectly by increasing QS, thus lowering cost per click and increasing overall ROAS.

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Each type of proposal is the responsibility of an entity known as a model. A model is connected with the specific data it evaluates (Google Ads reports), the campaign element being optimized (keywords), and recommended action (remove from the campaign). Other models will be similarly created where these three crucial properties might differ. For example, you can look forward to receiving a model that proposes negative keywords to be added based on the Google Ads Search Query Report.

PPC Tuner private beta version is already available as a part of PPC Bee, so if you cannot wait to try it out, you can request the access in the application. We welcome any feedback, regardless of whether it concerns the user interface or proposal quality. Also, don’t hesitate to contact us if you have an idea for a new unique model.

PPC Tuner private beta version is already available as a part of PPC Bee, so if you cannot wait to try it out, you can request the access in the application. Our team will then evaluate, whether there is enough data (meaning campaigns that already have a history) so PPC Tuner is able to produce high-quality results.

We look forward to receiving any comments, feedback or improvement suggestions from you. You can share these with us via support@ppcbee.com.

[1] SCHWARTZ, Barry. Google reaffirms 15% of searches are new, never been searched before [online]. 25.4.2017 [quoted 2018–12–21]. Available at: https://searchengineland.com/google-reaffirms-15-searches-new-never-searched-273786

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