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Using Google Cloud for Marketing Analytics

Introduction:

Google Cloud is becoming a popular choice for marketing analytics practitioners in the 21st century. The concepts of cloud and marketing together is a powerful and reinforcing domain in the market. The idea of using Google Cloud for marketing analysis delivers personalized customer encounters and enhances marketing return on investment (ROI). The golden combination of Google Cloud and marketing analytics may be unknown to many marketing operators being new on the platform. This article will portray a broader view of the importance of using Google Cloud in marketing analysis and its benefits.

An example to support the use of Google Cloud in marketing:

Let's take an example; a person recently buys an efficient mobile phone which has been in trend. The individual is happy with the performance provided by the product. Now, after some time, the individual decides to buy compatible accessories, but with the wide range of options, it gets complicated for the individual to choose. In the meantime, instead of marketing the compatible accessories to the individual, the company sends an email that advertises the same model but at discounted price that he repurchased a few days ago. 

This example clearly shows that the company lost an admirable selling opportunity. This kind of loss usually occurs when the seller fails to cater to the customers' immediate needs. This also creates a scenario where the customers get frustrated and question his purchase of being too early. This scenario can also harm the company's image and affect the potential customers as well.

  • Unable to collect essential data silos: The company or the retailer had the information of the purchase made by the individual. The company also had the knowledge of consumer satisfaction through valuable feedback. It was the perfect time to advertise the accessories in order to open a new domain of transactions. However, the company failed because all the data was scattered in different places and was unable to centralize them in one place.

Google Cloud acts as a saviour.

Let's consider the same scenario but with the addition of Google Cloud as a part of the marketing operations. This time the company has all the data centralized to a data silo. The data includes the individual's purchase history and their feedback on the product purchase and services. With all the available data, the company now sends the individual an email marketing about the compatible accessories that promises to be as efficient as the recently purchased product. The email also provides the individual with information that the discount can be availed only by the customers who are making new purchases from the company. The email with the perfect advertisement of the right products at the right time makes the individual satisfied and decides to purchase the accessories from the same company.

What Is Cloud Marketing?

What Is Cloud Marketing?

Now many marketing analytics practitioners may want to learn about the basic definition of Cloud Marketing. To put it simply, cloud marketing is a collection of technologies that enterprises use to create admirable customer experiences through more effortless, faster, and more intelligent solutions for the marketing team.

Google Cloud for marketing targets the real-time interfaces and marketing movements based on the customer experience, behaviour, feedbacks or moves of the competitors. However, the role of Google Cloud in marketing is not limited to that. The presence of integrated digital toolkits, Google Cloud, aids the marketing analysts in drawing up only the specific and relevant data of different products. The technology enables the marketing operators to utilize the sourced data at every business level efficiently:

  • Collection of the database becomes effortless.

  • The ability to transform the data with clean-up tools.

  • Analyzing the data sets becomes easier without setting up a server.

  • Make the visuals more delightful with the help of enticing dashboards.

Google Cloud helps to manage the data without any special efforts and gives inclusive insights about the data.

Benefits of Using Google Cloud in Marketing Analytics:

After getting an overall idea of how Google Cloud acts as a lucrative measure for marketing analytics. It is essential to know about the benefits offered by the Google Cloud and the reasons one should consider using cloud marketing. Following are the benefits of using Google Cloud in marketing analytics:


  1. Skilful Marketing Results: 

The example mentioned above showed how Cloud marketing provides efficient solutions for better marketing results compared to the non-personalized way of implementing marketing efforts.

For the marketing analysts to determine the contribution of the organization’s marketing efforts, they need to acknowledge the consumers’ decisions at every level during the transaction stage.

  1. Predicting Future Marketing Trends:

Google Cloud provides data that can act as a valuable source for future trends and marketing strategies. The organizations can use integrated data combined with social and public data in order to combat and flow with future marketing trends. Google Cloud offers marketing solutions for the competitors' predicted endeavours and ways to stay at the forefront of the competition.


  1. Drive e-commerce revenue:  

By using Google Cloud for marketing analytics, organizations can maximize their e-commerce revenue. The software studies deep learning models for less than four weeks and provides efficient digital campaigns to the determined websites. An organization using Google cloud can receive the following benefits:

  • More than 97% accuracy in future predictions.

  • Approximate 200% increase in e-commerce sales.

  • An increase in the sections of lead generation.


  1. Easy Image Maintenance in the market:

From the example mentioned earlier, we can see that nowadays, customers look for personalizing and unified interests marketing efforts. This makes image maintenance harder than in previous times. The customers expect centralized personalization and a unified experience across several channels from a particular brand.

According to Google research about customer insights, the following are some points that every marketing analyst must keep in mind:

  • 63% of the customers look forward to companies analyzing historical data to form personalized marketing campaigns to cater to the needs of individuals.

  • 62% of the customers anticipate consistency in the performance of the company. However, 58% of the people feel like the companies failed in maintaining the fluidity. 

  • In order to establish a successful business, 84% of the people feel like they should be treated as a person instead of numbers, and their preferences should be taken into serious account. 

  • 70% of customers feel like the companies should understand customers' experience and how they use the services or products to provide valuable insights for the companies.

  • 59% of people say that the customers' historical data, previous purchase history, and engagement are precious for a specific business's growth.

  • Personalized offers are seen as twice as essential marketing tactics by the consumers.

In this data-driven era, businesses that want to grow and earn maximum revenue must consider their customers' approach as a valuable source of growth. The data metrics and the solutions to such problems of choosing the right kind of channel are possible using Google Cloud in marketing analytics.

Benefits of Using Google Cloud in Marketing Analytics:

After getting an overall idea of how Google Cloud acts as a lucrative measure for marketing analytics. It is essential to know about the benefits offered by the Google Cloud and the reasons one should consider using cloud marketing. Following are the benefits of using Google Cloud in marketing analytics:


  1. Skilful Marketing Results: 

The example mentioned above showed how Cloud marketing provides efficient solutions for better marketing results compared to the non-personalized way of implementing marketing efforts.

For the marketing analysts to determine the contribution of the organization’s marketing efforts, they need to acknowledge the consumers’ decisions at every level during the transaction stage.

  1. Predicting Future Marketing Trends:

Google Cloud provides data that can act as a valuable source for future trends and marketing strategies. The organizations can use integrated data combined with social and public data in order to combat and flow with future marketing trends. Google Cloud offers marketing solutions for the competitors' predicted endeavours and ways to stay at the forefront of the competition.


  1. Drive e-commerce revenue:  

By using Google Cloud for marketing analytics, organizations can maximize their e-commerce revenue. The software studies deep learning models for less than four weeks and provides efficient digital campaigns to the determined websites. An organization using Google cloud can receive the following benefits:

  • More than 97% accuracy in future predictions.

  • Approximate 200% increase in e-commerce sales.

  • An increase in the sections of lead generation.


  1. Easy Image Maintenance in the market:

Marketing analysts have various sources of gathering data, and Google Cloud is one of them. The marketing analytics practitioners collect web traffic data from Google analytics and campaign performance data from Google Marketing Platform (GMP). All of the sourced data act as relevant information for building an audience and targeting tactfully.

Conclusion

In short, we can say that Cloud Marketing or using Google Cloud for marketing analytics are the same thing. The process helps the marketers to dive deeper into the gold mine of their organization's data. The process offers real-time advertisements and aids in marketing products based on the customers' preferences, needs at the immediate time, behaviour, and the competitors' moves. By adding the superpowers of Google Cloud to existing data sets, marketing and analytics efforts are bound to enhance and improve the customers' experience. On top of that, chances of increasing market ROI and revenue on the operational measures drastically increases, which acts as lucrative to an already beneficial process.