SEMrush Launches Product Listing Ads (PLA) data!
October 29, 2014
Since Google introduced Product Listing Ads in 2010, retail advertisers have been increasing their spending on PLAs. More and more e-commerce websites are beginning to prefer PLAs to text ads because of their more engaging ad format.
With Click-Through Rates almost 50 percent higher than those of AdWords text ads, these image-based ads that include pricing and promotional information have already proven their efficiency in attracting the attention of shoppers.
At SEMrush, we couldn’t overlook millions of products promoted every day by thousands of brands via PLAs. Today we are happy to open SEMrush PLA data for the US regional database to all our customers!
To check out our brand new feature, go to SEMrush → PLA Research → Positions. Type into the SEMrush search bar a domain for which you’d like to analyze PLAs, and click the Search button.
The information in the PLA Positions report’s summary (1) will provide you with the number of keywords a domain is bidding on to get its PLAs and text ads to appear in paid search results, the number of product listing ads, its text ads’ traffic, and its AdWords traffic cost.
The PLA chart (2) will show you how many positions in paid search results a domain is earning with its PLAs and the total number of product listing ads SEMrush has noticed.
In the main PLA Positions report, you will see a list of keywords (3) that trigger a domain’ PLAs to appear in paid search results. You will also see ads (4) that popped up for a particular keyword with their current and previous rankings (5), and the promoted URL (6). Moreover, you can view a product title (7) and price, (8) as well as a snapshot of the SERP (9) where the ad appeared.
Each PLA keyword is followed by such metrics as its volume, its trend and the date of its last update.
By using filters (10), you can filter out results by keyword, by an ad’s position, by a keyword’s volume, by a product title or price, and more.
SEMrush PLA data are exportable into XSL and CSV.
By analyzing PLA performance metrics for your and your competitors’ websites, as well as for the biggest online retailers—such as Ebay, Walmart, Apple, Samsung, HP and others—, you can review Google Shopping campaigns, optimize them with the best PLA keywords, and drive more sales online while using less of your paid search budget.
At the moment, we only provide PLA data that have been collected for the US regional database. However, we are considering unlocking this feature for other regions where Google Shopping is available.
This is just the beginning! More PLA functions for getting deep insights into your competitors’ strategies for selling products and reaching more shoppers are coming. Stay tuned!
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