This Mock test is a Advance Search test Before Writing Google Adwords Advance Search exam you can Practice this test as Mock exam and score more on Adwords. The official help forums for Google products. Post questions and get advice from other people using the same Google products as you. Search engine marketing’s meteoric rise over the last decade is due, in large part, to the superiority of query-level targeting as compared to other online advertising channels. The targeting edge that SEM once held, however. Ready to start your own Google AdWords account for PPC advertising? Learn how to set up a new AdWords account in three easy steps. The world's Top Ranked AdWords Trainer & Internet Marketing Consultant - Claire Jarrett. Want more control over your AdWords bids? Follow these best practices when switching from automatic bidding to manual bidding in Google AdWords. Google Display Network vs. Programmatic Display Targeting. Search engine marketing’s meteoric rise over the last decade is due, in large part, to the superiority of query- level targeting as compared to other online advertising channels. The targeting edge that SEM once held, however, may be slipping. Newest Google Keyword Tool with Webmaster Help and Google Tool Chart. Helpful free Webmaster resource and tool box. Businesses must maximise their results from their Pay Per Click marketing channels to succeed. Use our Google AdWords Management services to ensure results! Understand how extensions work See where extensions can be shown Choose extensions suited to your business goals Set up and manage your extensions. Indeed, for many advertisers and many verticals, SEM may no longer be the best channel for laser- focused advertising. In this article, I look at five types of online targeting and compare the functionality of SEM versus two other popular marketing channels – self- serve display advertising (Google Display Network) and programmatic display advertising. Types Of Online Targeting. Before I delve into the specific targeting features of online marketing channels, let me suggest a framework for evaluation. Broadly speaking, there are five types of online targeting currently available to online marketers: Query – what is the user searching for? Location – where is the user located? Time – what time of day, day of week, and time of year is it? Device – are they on a mobile phone, tablet, or computer (and what is their operating system and carrier)? Behavioral – who is the user, demographically, or psychographically? Note: this is the broadest of my five factors, since I’m including data like offline purchase behavior and social sentiment in this category – over time, I could see this factor broken into several separate groups as targeting matures. Round 1: Query- Level Data. Query- level targeting has always been the selling point of SEM, and Ad. Words (and Bing/Yahoo, of course!) are still the clear champions when it comes to targeting users based on queries. That said, GDN does interpret the semantic relevance of a website to allow advertisers to try to use query- level data in display; and, third- party search retargeting companies like Chango, Simpli. Magnetic offer query- like targeting throughout the display ecosystem. But let’s face it, query- ish display targeting still pales in comparison to the real deal – SEM! If you are marketing an established product (i. SEM should be your most important channel. Winner: SEM! Round 2: Location Data. Location targeting is vital for local businesses with limited geographic reach, but also very important for any business that might see differences in purchase behavior by geography. In general, geography can be inferred by one of five ways: Geo- modifiers in a query (e. Chicago mortgage rates”)The IP address of a user’s device. The semantic content of a page the user has recently visited. A user’s self- defined location when s/he registers online (such as signing up for a Gmail account). First- party or third- party data. Ad. Words uses all of these geographical inferences except for first – or third- party data – when targeting users on desktop search. This is both good and bad news. On the plus side, Google has a lot of different ways to infer a user’s location, which can be helpful when someone a block from your pizza restaurant searches for “great pizza restaurants for lunch” and you want to market to them. On the other hand, if Google uses the wrong inference to target the user (e. Gmail in your home town but happens to be 5. Google has rectified this dilemma – at least to a degree. Ad. Words now allows advertisers to choose whether they want to target only users who use a geo- modifier, or who are in a specific location, or both. While GDN and Display cannot use geo- modifiers in a query as accurately as Ad. Words, they do allow for better usage of first- and third- party behavioral data. To clarify what these two forms of data are, first- party data is information collected directly by an advertiser (i. GDN allows advertisers to access a limited set of third- party geographic data via their “interests” and “topics” functionality. In the example below, you can select people who are “interested” in a particular geographic region of California (which I assume is more or less synonymous to that person living in that region): You can also “sort of” use first- party targeting in GDN via remarketing. For example, if you have pages on your site that are geo- targeted (for example, “Mountain View pizza directions”), you could, in theory, limit your GDN advertising exclusively to people who visited that page via remarketing, effectively creating a Mountain View- only campaign. Ultimately, however, this quasi- behavioral targeting on GDN pales in comparison to what is available to advertisers via programmatic display buying on ad exchanges. Sophisticated display advertisers leverage “data management platforms” to leverage reams of first- party data and multiple third- party data sources to create hyper- local campaigns directly targeted to specific user groups (or even individuals). In other words, in a well- executed display campaign, it is possible for the advertiser to actually know the user’s home location (via first- party data), broad interests (via third- party data), where they are currently located (via IP address), and – to a lesser extent – the geographic nature of the content the ad is appearing adjacent to. Given the high relevancy of geo- modifiers in search and the equally high accuracy of first- party data in a programmatic display campaign, I’m calling this one a tie between Ad. Words and Programmatic Display (sorry GDN)! Round 3: Time- Of- Day, Day- Of- Week, Time- Of- Year. Ad. Words and GDN have decent day- parting functionality, though it is a bit buried in the settings (perhaps on purpose, so as to avoid melting the brains of newbie SEMs). That said, programmatic display buying does provide more time- based granularity via “real time bidding ” (RTB for short). As the name implies, RTB allows advertisers to make ad buy decisions every time an impression is available for purchase. In theory, this means that advertisers can make millions or billions of decisions within a 2. In reality, I’m not convinced that demand side platforms (DSPs) – the technology that programmatic buyers use to buy advertising in real time – are truly analyzing whether an impression at 6: 0. Ad. Words and GDN. That said, it’s important to note that Google’s conversion optimization tools – the “conversion optimizer” on Ad. Words and the Display Conversion Optimizer (DCO) on GDN – do make changes to bids in real time, and have the potential to adjust bidding more than the 4. It seems like it was so long ago . Unless you have been living under a rock without Internet access, you should know by now that Google’s new “Enhanced Campaigns” settings will effectively remove almost all the device granularity previously available to advertisers. Just to show the difference graphically, here’s the before and after functionality: Before: After: It turns out that the level of targeting Google used to offer was superior to the current targeting available in programmatic display buying; but, as a result of enhanced campaigns, programmatic buying is now the superior targeting option. With programmatic buying, you can still target users by device and carrier, something that is now not available in Ad. Words. So, with a heavy heart, the winner in this category is: Programmatic Display. Round 5: Behavioral Targeting. Going into the final round, we have a two- way tie for first place – Google 3, Programmatic Display 3, and GDN 2. It’s still a wide- open race! Behavioral data in Ad. Words is limited to non- existent. To my knowledge, Google currently does not allow advertisers to leverage third- party behavioral data in their search ad buying (though I have heard rumors of betas that do this). On the first- party side, the only way to leverage actual knowledge of user behavior is to use remarketing lists for Ad. Words, but – as with Google’s other remarketing products – this is only first- party in the sense that you know a user visited a page of your site. GDN goes a step further than Ad. Words by providing the aforementioned “interest” and “topic” third- party targeting options, though you are limited to Google’s data only (not the case with programmatic buying). And, on the first- party side of things, you are limited to remarketing only. Programmatic display buying has an advantage over Ad. Words and GDN on both the first- party and third- party behavioral side. First- party data in programmatic buying has the potential to be much richer than just retargeting – for example, a retailer could target sets of users based on a “recency, frequency, and monetary” methodology, with the data derived from actual customer purchase behavior. On the third- party data side, there are dozens of behavioral data companies more than willing to sell advertisers slices and dices of data. The winner of this round, with a technical knock- out, is Programmatic Display buying. Tallying Up The Scores! The final result: Programmatic Display 4, Ad. Words 3, GDN 2 – congrats to programmatic display buying! Now, before you go and scrap your SEM campaigns and dedicate 1. RTB and DSPs, let me state for the record that there are still many – many! For a graphical description of the targeting benefits of each of these channels, check out the image below or download the chart here. Some opinions expressed in this article may be those of a guest author and not necessarily Search Engine Land. Staff authors are listed here.
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