Google Launches ‘Estimated Cross-Device Conversions’ In AdWords, First Stage Of New ‘Estimated Total Conversions’

Today, Google launched estimated cross-device conversions in AdWords. It’s the company’s first step in providing advertisers with conversion insights that reflect the real-world impact of their campaigns.

The new conversion type is the first to roll-out as part of the new Estimated Total Conversions, which will eventually include phone calls and in-store visits. Estimated cross-device conversions is rolling out globally over the next few weeks.

Cross Device Conversion Tracking Google AdWords

“Consumers just want information, they don’t care how they get it. Today’s announcement is about measurement and catching up to the consumer behavior in the real world,” said Google’s Sridhar Ramaswamy, SVP, ads and commerce, by phone.

With enhanced campaigns, Google recognized the company “needed to pivot to be omnipresent” in a way that would allow advertisers to reach users on all devices without having to create multiple campaigns to do so effectively, says Ramaswamy. Now the company is focusing on measurement tools to capture any conversion that starts with an AdWords click whenever a transaction is completed on a different device, via phone or in-store.

Google has made several measurement updates in AdWords recently: more flexible conversion windows, cross-account conversion tracking, adding conversion data to the bid simulator and, most significantly for many advertisers, the offline conversion import feature.

How Do Cross-Device Estimates Work?

Google is calculating cross-device conversions by using a sample of data from users who signed into their Google accounts on  multiple devices. The population of logged-in users is Google’s proxy for general user activity.

Cross-device conversion data is down to the ad group level. Advertisers will need to have conversion tracking implemented and a “sufficient volume” of conversions in order for the estimating to be statistically reliable. I inquired about what those volume thresholds are and will update here when I receive an answer. Update: Accounts need to record at least 50 conversions each day to have a high chance of seeing estimated cross-device conversions.

For now, cross-device conversions are calculated only for conversion paths that start from a Google.com search. The company says it is still working on how to capture cross-device conversions from ads on the search and display networks.

Is It Reliable?

Ramaswamy says they’ve been testing this measurement with many advertisers across a range of industry verticals and analyzed data across thousands of AdWords advertisers to learn more about cross-device conversion patterns.

The company released numbers showing the lift in total conversions attributed to AdWords campaigns when using estimated total conversions. Entertainment saw the biggest increase at 12 percent; travel and technology both saw an 8 percent lift; retail conversions increased by 7 percent; local saw the smallest increase at 2 percent.

Lift in Total Conversions With Cross-Device Conversion Tracking by Vertical

When asked whether he thought advertisers may view cross-device conversion estimates with the same level as skepticism as view-through conversions, Ramaswamy said he doesn’t think so. Unlike view-through conversions, he said, cross-device conversion estimates are based on real conversions and then scaled based on aggregated user data. Nothing is scaled unless there is enough data to meet statistical confidence — thus the minimum volume requirements.

Susan Waldes, Director of Client Services for 3Q Digital, who will be discussing this new feature at SMX East in New York today, says,

“This is the feature of enhanced campaigns that we have all been waiting for and I am very excited. That said, the challenge is going to be getting advertisers to buy in to these metrics. I strongly believe that the proxies are representative of real user behavior and adwords advertising influencing conversions, however my fear is that like many-per-click conversions or view-through-conversions, most advertisers will opt to ignore these new metrics and focus on last click attribution only. I think transparency from Google in terms of the technology underpinnings will be key to getting more universal buy-in.”

Google plans to add other conversion types like phone calls and in-store visits. Local certainly will be affected more broadly when Google rolls out these new conversion types. According to Google, people make more than 40 million calls to businesses each month directly from its ads.

For now, the data is not incorporated into the bidding tools in AdWords, though that’s expected to come. Ramaswamy says conversion optimizer will start incorporating these new conversion types.

Related Topics: Channel: SEM | Google: AdWords | Search Ads: General | Top News

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About The Author: writes about paid online marketing topics including paid search, paid social, display and retargeting. Beyond Search Engine Land, Ginny provides search marketing and demand generation advice for ecommerce companies. She can be found on Twitter as @ginnymarvin.

Connect with the author via: Email | Twitter



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  • treb072410

    Thanks for sharing! It was a very good read!

  • Steve Plimmer

    There’s also the issue that stats like “Tablet to Computer” are not actionable in AdWords. It’s fantastic to have all this stuff broken down and reasonably accurately estimated but if you can do precisely nothing about some of it, it becomes redundant. If we could have a few more levers to pull to match this sort of information, that would be brilliant.

  • Daniel Benny Simanjuntak

    Thank you for the informative post and explanation on the new parameter. It is great that Google recognizes the issue where people have the tendency to use numerous platforms nowadays to browse the net and purchase items.

  • Kimmie

    That would be nice if Google starts thinking to differentiate between tablet and computer bid price.

  • Andrew Goodman

    I’m surprised that Google would stoop to “estimates” that are simply based on models. Generally speaking, most of us know how to adjust directionally to take account of estimated but unseen activity. We’ll be impressed when we see the real data. And on that note… if Google can use data from “a sample” of logged-in users on multiple devices, then they are driving towards providing all that data.

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