Take action on your data across online and offline channels
Most customer journeys still end in store, and 61% of shoppers would rather shop with brands that have a physical location than ones that are online only.1 Businesses need to measure the offline impact of digital advertising in order to take action on omnichannel behavior: store visits measurement is one way to do that. As a reminder, store visits are estimates based on data from users that have turned on Location History. Only aggregated and anonymized data is reported to advertisers, and they aren’t able to see any store visits from individual website visits, ad clicks, viewable impressions, or people.
To help you take action on store visits, we’re bringing these insights to data-driven attribution and Smart Bidding which use machine learning to help you improve performance. Data-driven attribution helps you understand which keywords, ads, ad groups, and campaigns have the greatest effect on your business goals. You can use this information to drive more conversions using Smart Bidding.
We’re also adding more ways to measure the full value of your marketing. In the coming weeks, Store Visits in Google Analytics will start rolling out to eligible advertisers to connect store visits to other marketing efforts that bring customers to your website and then to your store.
One example of a business measuring the online to offline impact of its marketing is department store JCPenney. JCPenney had long recognized that digital campaigns led to store visits but wasn’t able to attribute those visits to specific channels. With Store Visits in Google Analytics, JCPenney was able to look at store visits and visit rate by channel to understand which online marketing channels were most effective in driving in-store visits, and efficiently scale investment in those channels.
We hope these new products can simplify your day-to-day and improve performance across your Google Ads campaigns during the holiday season and beyond.