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Judul : New ways to rev up your Shopping campaigns
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New ways to rev up your Shopping campaigns

Want to get more impressions and clicks for your Shopping campaigns? Or want to know how to spot missed opportunities in your bidding strategy and find your mobile share of voice? We introduced competitive landscape data last year so you can start answering those burning questions, and today, we’re excited to announce a handful of additions that’ll help you find new ways to optimize your Shopping campaigns and engage shoppers on all devices.

• Auction insights report lets you compare your Product Listing Ad (PLA) performance to other advertisers participating in the same auctions as you are. With impression share, overlap rate and outranking share, you’re able to see trends amongst your peers and strategic opportunities to improve your bidding strategies.

• Search impression share has been revamped to be more useful and aligned with text ads. You can now analyze your share of voice at the granularity you want with Search impression share in the Dimensions tab. You’ll know which campaigns are limited by a low budget with Lost IS (budget) and which ones need further optimization with Lost IS (rank). Note that we now calculate Search impression share at account level so you may notice a change in impression share between October and November.

• Device and time segmentation are available to help you refine your bid modifier strategy. You can see if your peers received more mobile impressions than you over the weekend with the Auction insights report segmented by device and day.

• Bid simulator columns show you what your advertising results could’ve been had you set different bids. You can add these columns in your Product groups tab and, for example, find product groups that’ll drive the most incremental clicks.

• Flattened view of your product groups presents another way to analyze your performance. It allows you to sort your product groups within an ad group based on performance data and easily identify which to optimize. For example, you can sort by impression share, find a few product groups with the lowest impression share, and fine-tune those bids within a matter of clicks.

We hope these additions will help you identify easy-wins for the holidays and unlock new, more actionable ways to optimize your Shopping campaigns. We’ll continue to explore other reporting needs so you have relevant and useful data at your fingertips. Visit our help center articles for more information on Auction insights, Search impression share, bid simulator columns, and the flattened product groups view.

Posted by Dimitris Meretakis, Product Manager, Google Shopping

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