Many advertisers are unaware of Google Ads Data Hub – a powerful data analysis tool – and the potential it has for optimizing campaigns. For large enterprises in particular, Ads Data Hub can leverage multichannel marketing by combining data from Google Ads and other first-party data platforms.
As well as providing an in-depth measurement of campaign performance, Google Ads Data Hub is also a privacy-safe platform that’s GDPR compliant, therefore making it future-proof.
In this article, we explore how Ads Data Hub can be used to optimize your campaigns, better understand audience behaviour and most importantly improve ROAS.
Source: Google
Google Ads Data Hub is a secure data analysis tool designed for advertisers, agencies and measurement partners. It enables you to unearth valuable insights beyond what’s available in your ad platform.
What set’s Google ADH apart from other data analysis platforms is the ability to use first-party data in a privacy-safe environment. Campaign performance can be aggregated and measured from the following Google-owned channels:
Advertisers can then combine their first-party data – such as purchase data from a customer database – with aggregated data from the channels listed above, to get a clearer picture of performance alongside more in-depth insights. Try out a comprehensive ad analysis tool to gain a broad insight into your paid strategy.
Let’s get into the specifics of how Google Ads Data Hub actually works.
What powers Ads Data Hub is BigQuery – a Google-owned cloud database (built on Google Cloud Platform) that enables data processing and analysis.
As mentioned above, Google ADH takes data from DV360, CM360, YouTube, and Google Ads. This platform-side data is then stored on the cloud as a Google-owned BigQuery project.
First-party personal data is hashed (which makes it privacy-safe) and then combined with data from ad platforms to provide important insights into audience behaviour and campaign performance.
Scheme showing what Ads Data Hub can do | Croud
The output of this combined data is that it can then be downloaded, plugged into a dashboard – such as Google’s Looker Studio – or even sent back to ad platforms for data activation.
Here are the steps involved in creating and running a new query in Ads Data Hub:
For more information on how to run queries in Ads Data Hub, here is a resource from Google.
We’ve touched upon some of the benefits of using Google Ads Data Hub above, but here’s a recap of some of the main benefits.
A lot can be said for the online advertising landscape today concerning user privacy. It’s been a hot topic for many years and I expect it’ll continue to be for years to come. So one of the main benefits of using Ads Data Hub is that it’s GDPR-compliant and safe from a privacy perspective.
Google states marketers and measurement partners will benefit from rigorous privacy checks that protect the personal data of users online while still being able to perform comprehensive analytics.
In many ways navigating user privacy in digital marketing is becoming more challenging – from GDPR to the game-changing iOS14 update. The fact Google Ads Data Hub respects privacy is a big plus.
On its own, platform-side data can be insightful since its rigorous event tracking makes it possible to understand campaign performance and successfully optimize campaigns. However, combining platform data with owned first-party data has the benefit of essentially supercharging your learnings.
Even with seamless event tracking, Google ADH will provide an even better understanding of performance and user behaviour. It bridges a gap in data that many businesses and advertisers struggle to connect. Suddenly insights will become clearer and more valuable and in theory decision-making as a marketer will become easier.
After combining platform and first-party data, we are left with even more insight into audience behaviour. It’s possible to get clarity over how audiences interact with ads across various channels, as well as how audiences behave across different devices. It makes it easier to understand which audience segments convert best in general.
And this richer insight into audience behaviour – something that is often a grey area in advertising – is one of the key benefits of using Google ADH.
Last but not least (and in my opinion the main benefit of using Google ADH) are the gains that come after pulling reports and analyzing data. Joining up data, getting more in-depth insights and better understanding audience behaviour is all well and good. But it’s what you do with this knowledge that matters most.
Following data analysis, advertisers can use this data to make optimizations and improve performance. Whether it’s doubling down on what drives high-value customers, or pulling back on areas that underperform to improve ROAS.
Google Ads Data Hub isn’t designed to manage ad spend, nor is it designed to prevent your campaigns from overspending. However, by providing insight into current and past performance, as well as audience behaviour, it can provide direction in terms of where best to spend.
Advertising strategies can therefore be refined and advertisers can determine where best to spend to maximise ROAS.
Here are some practical ways that Ads Data Hub can be used for smarter spending and to reduce overspend:
You can go one step further when optimizing your Google Ads campaigns. Whether you’re running a Performance Max campaign or Google Shopping, you can use your product feed enriched with performance data from Ads Data Hub to segment your products or even your bid strategies.
By creating custom labels that incorporate performance data into your feed, you can better group your campaigns, which will improve overall performance.
Examples of custom labels | Google
Examples of segmenting campaigns that use custom labels include allocating more spend to best selling products, or products that are high in-stock, and tailoring your feed for your best-performing audience. Read more on the most helpful custom labels to apply to shopping campaigns.
There are numerous other use cases for Ads Data Hub that can enhance data insights and learnings, again benefiting you with ways to make spend more efficient and boost revenue:
Google Ads Data Hub can be used in a multitude of ways to supercharge your data and empower your decision-making. But don’t take my word for it.
Let’s look at some case studies of how three well-known brands used Ads Data Hub to their advantage, generating impressive results.
Surce: TechXpert
UK mobile network EE gained a granular picture of campaign performance using Ads Data Hub and combining platform data with first-party data. They worked out which customers were most likely to upgrade their phone plans and then used this insight to fine-tune their acquisition strategy. The result was a +57% increase in ROAS.
From a spend perspective, Ads Data Hub enabled EE to spend on the right acquisition channels and therefore not overspend on areas that were less likely to yield new phone contracts.
Source: Prisguiden
Bath and body retailer Rituals increased both online and offline sales using Ads Data Hub, achieving a massive 85% increase in conversions with a 15% decrease in CPA.
They achieved this by using first-party data from Google Marketing Platform, their CRM and point-of-sale transactions. Paired with Google Cloud’s machine learning technology, Rituals were able to make predictions around the likelihood of customers purchasing both in-store and online.
Following the creation of audience segments using these learnings, a campaign was created in DV360 targeting specific groups that matched their customer modelling, with tailored messaging.
Source: VegNews.com
Domino’s pizza – the Canadian division – combined data from several different sources to find out when customers were most likely to order again, so they could be best prepared for them in the future.
In the process of analysing data, Domino’s uncovered an interesting insight: customers who ordered at least twice online in the past 30 days made up 35% of their total revenue.
This was a significant discovery for Domino’s Canada because they’d previously underestimated the value of this audience segment, which they subsequently focused their attention on.
Google Ads Data Hub is a powerful tool for gaining a more comprehensive understanding of your advertising campaigns and audience behaviour, therefore enabling data-driven decisions using learnings and insights. Use these insights to optimize your campaigns, such as leveraging DataFeedWatch to update custom labels for further campaign segmentation.
Though Ads Data Hub is more advanced and extra effort is needed to implement it, the impact it can have on performance makes the extra effort worthwhile as highlighted in the case studies above. This is especially true for the big players with an abundance of data that want to streamline their multichannel marketing efforts.
Read also about Google Ads Attribution Models in 2023