Read our latest customer story: [How Adlucent uses AI to uncover new marketing insights from big data to better support clients](https://cloud.google.com/customers/adlucent).

# Marketing analytics and AI solutions

Bring business and marketing data together for a holistic view of marketing's performance and business impact. Create advanced audiences and enhance your customer experiences with the power of your data and Google Cloud.

Start a free trial [Start a free trial](https://console.cloud.google.com/getting-started?pli=1)

\
\
VIDEO\
\
Marketing analytics with Google Cloud\
\
5:57](https://www.youtube.com/watch?v=Qlqakc9Pgkk)

Benefits

### How marketing analytics can help your business grow

### Increase ROI with data-driven marketing insights

Connect data from siloed systems into [BigQuery](https://cloud.google.com/bigquery) to gain holistic marketing insights. Enable robust channel performance reporting and predictive marketing analytics.

### Build predictive and advanced audience segments

Leverage Google Cloud’s machine learning capabilities to build differentiated audiences. Create audience segments like propensity to buy and high customer lifetime value to reach your most valuable customers.

### Enhance customer experiences and brand measurement

Deliver enhanced customer experiences by providing relevant recommendations at scale. Monitor and leverage customer sentiment to plan product improvements, prioritize customer issues, and optimize Ads spend.

Key features

## Google is your media and cloud partner on this journey

Google is uniquely positioned to bring your marketing and business data together in one platform with native Google Ads integrations and more.

### How marketing data and analytics come together with Google Cloud

Google Cloud offers seamless [connectors](https://cloud.google.com/bigquery-transfer/docs/how-to) to key data sources like Google Ads, Google Analytics 360, Campaign Manager, etc. Connect your first-party data like CRM, sales, product, customer service, social and more for a holistic view of marketing analytics in a connected platform. Easily build AI models from this consolidated data with built-in machine learning tools like [BigQuery ML](https://cloud.google.com/bigquery-ml/docs/) and [Vertex AI](https://cloud.google.com/vertex-ai).

### Gain a competitive advantage with marketing analytics and AI

An advanced marketing analytics and AI solution for all users and intents throughout the data and ML life cycle means more innovation in marketing for your organization. Flexible tools like [BigQuery](https://cloud.google.com/bigquery) and [Looker](https://cloud.google.com/looker) offer streamlined and scalable collaboration as your organization takes advantage of continuous enhancements with Google Cloud's technologies.

### Futureproof your marketing with leading AI and machine learning

The digital marketing landscape is changing: from more complex customer journeys to regulatory changes on how data is collected and used to industry changes impacting third-party cookie measurement. A solution created upon the foundation of Google’s pioneering AI research and best in class algorithms with [responsible AI](https://cloud.google.com/responsible-ai) capabilities can help your organization navigate these changes.

### Drive campaign performance with intelligent, real-time data

Whether you are a marketing leader at your organization or an agency providing best-in-class marketing services, partnering with Google Cloud can help you tackle marketing analytics challenges by leveraging native Ads data integrations with [BigQuery](https://cloud.google.com/bigquery) and developing custom, differentiated audience segments with Google Cloud's AI products.

### Understand how consumers are searching with Google Trends data

Marketers can now access [Google Trends datasets](https://cloud.google.com/blog/products/data-analytics/top-25-google-search-terms-now-in-bigquery) through direct interaction with BigQuery in a safe, secure, and private manner. This means you can explore what consumers are searching for to inform your analyses and make better data-driven decisions. If you’re new to [BigQuery,](https://cloud.google.com/bigquery) spin up a free project using the [BigQuery sandbox](https://cloud.google.com/bigquery/docs/sandbox) or check out the sample [Looker dashboard](https://datasignals.looker.com/embed/dashboards-next/11?theme=GoogleWhite) to explore this data.

Customers

### Read about our customers using Google Cloud marketing analytics and AI solutions

\
\
Video\
\
Succeeding in digital media and eCommerce with data—Motorola Mobility and Supermetrics\
\
9:04](https://youtu.be/_wrmM11Qp0E)

\
\
Video\
\
How Overstock.com increased marketing ROI with Instant BQML\
\
13:39](https://www.youtube.com/watch?v=8g96jZ60IfU)

\
\
Case study\
\
Blue Apron builds an analytics platform with Looker and BigQuery to enable faster business decisions\
\
5-min read](https://cloud.google.com/customers/blue-apron)

\
\
Video\
\
See how L'Oreal Taiwan uses data-driven marketing with Google Cloud and Google Marketing Platform\
\
Video (2:04)](https://www.youtube.com/watch?v=kS9u9OtS6CA)

\
\
Case study\
\
Using Google Cloud for data analytics helps zulily improve customer experiences\
\
5-min read](https://cloud.google.com/customers/zulily)

\
\
Case study\
\
Hearst Newspapers: Engaging readers with cloud machine learning\
\
5-min read](https://cloud.google.com/customers/hearst-newspapers)

Documentation

## Additional marketing analytics and AI resources

Explore our documentation to learn more with tutorials, explore popular architectures, and see patterns for common marketing analytics use cases.

Architecture

### Building an ecommerce recommendation system

Learn how to build a recommendation system with BigQuery ML to generate product or service recommendations from customer data.

Learn more [Learn more](https://cloud.google.com/architecture/building-a-recommendation-system-with-bigqueryml)

Tutorial

### Build new audiences based on current customer lifetime value

Learn how to identify your most valuable current customers and then use them to develop similar audiences in Google Ads.

Learn more [Learn more](https://cloud.google.com/architecture/building-audiences-clv)

Whitepaper

### Creative analysis at scale with Google Cloud and ML

This article explores how to take advantage of cloud technology in order to see creative performance and insights at scale.

Learn more [Learn more](https://cloud.google.com/solutions/creative-analysis-at-scale-with-google-cloud-and-machine-learning)
