Unifying your marketing data to find your best customers with Google Cloud
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Unifying your marketing data to find your best customers with Google CloudSeptember 2023
Many marketers are challenged by crafting personalised customer experiences with fragmented data sources. Buki Froelke, Google’s senior product lead for data and AI cloud for marketing, shares three Google Cloud solutions designed to combat this common issue. These offerings let your team do more with less — by helping to build advanced audience segments, fuel personalised marketing experiences, and drive higher ROI.
Get more expert insights on the Think with Google YouTube channel.
Buki Froelke: Eighty percent of customers are more likely to purchase from a company that offers personalised experiences. This could mean specialised email or social campaigns, product recommendations, or customised landing pages.
Of course, this poses a difficult challenge for marketers like you. How do you craft personalised customer experiences with fragmented data sources?
Well, I come to you with great news.
Hey everyone, I’m Buki Froelke. And welcome to How to Think About.
Let’s chat about using Google Cloud to build advanced audience segments, fuel personalised marketing experiences, and drive higher ROI.
With Google Cloud’s data warehouse, BigQuery, you can centralise audience data to gain a holistic view of your business and unlock valuable insights and opportunities for personalisation.
Let’s talk through three key solutions and offerings from Google Cloud that will help you do more with less.
First off, audience segmentation.
By exporting your Google Analytics data to BigQuery, you can get a scalable first-party data foundation to help you identify audience segments.
You can segment your audience in many ways, including by purchase intent, content preferences, or lifetime value. When you break down data silos, you can identify high-value audiences that make the most significant impact on your business.
And, to help you segment even further, you can bring the power of AI to your data with machine learning predictive models.
Machine learning and AI will help you predict the next best customer by uncovering hidden patterns and behaviours.
Segmenting audiences by propensity to purchase or propensity to churn allows you to more effectively invest in and connect with audiences most critical to your business.
Now that you can easily identify your most valuable audience segments, let’s discuss our final point.
Establish customer lifetime value to maximise ROI.
By identifying the lifetime value of your customer segments, you invest your budget to yield the highest returns.
This could mean building custom Google Ads campaigns, or personalised email journeys. Or it could mean creating dynamic website content that speaks directly to the unique needs and interests of each audience segment.
Allocating resources more intentionally will improve the effectiveness of your marketing efforts and will increase ROI across the board.
Well, I hope this episode gave you more insight into Google Cloud and BigQuery can help you supercharge your marketing.
So let’s walk through a quick recap before parting ways.
People want personalised experiences but that can seem tough when data is fragmented.
Now you know that you can unify your data and leverage AI to identify high-value audiences and, subsequently, tailor your marketing efforts to meet the needs of those priority customers to optimise ROI.
To learn more about using Google Cloud to empower your marketing strategies, subscribe to the Think with Google YouTube channel.
I’m so glad you could join me, and I’ll see you next time.
Epsilon, New Epsilon Research Indicates 80% of Consumers Are More Likely to Make a Purchase When Brands Offer Personalised Experiences, Jan. 9, 2018.
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