Marketing today relies on personalization.

Some consider it platform optimization, while others consider it a sales booster. A company personalizes its platform by making it dynamic and adapting to visitors.

For instance, if you want to buy a smartphone, Amazon will adjust its homepage to show smartphones and related products instead of unrelated products.

Consider Facebook, Instagram, and Netflix. These platforms show relevant content. Companies measure your viewing history and habits to create personalized feeds in real time.

According to a McKinsey report, personalization cuts customer retention costs by over 50%. For instance, personalizing email subject lines can increase open rates by 26%.

Businesses can increase customer engagement and loyalty with eCommerce personalization.

Personalizing eCommerce With AWS

Data is the most valuable asset today, but many businesses lack the infrastructure or technology to use it. Businesses can use AWS’s data storage and complex simulation services.

S3 protects your data, and Redshift and Kinesis provide advanced analysis and insights. With these tools, you can accurately analyze data to personalize a platform.

Your platform can retain customers and increase sales by providing relevant information and recommendations. AWS consulting services help businesses innovate and solve key challenges using cloud technology.  Different aspects can be taken.

1. Limited basic personalization

Much has changed in personalization. Using demographics, past purchases, and browsing habits to group customers is limited. A small part of the picture is shown. However, AWS services enable greater personalization. These services help you gain insights to provide more personalized experiences. 

2. Advanced AWS customer profiling

Here, advanced personalization means creating a platform that analyzes customer activity in real time and makes changes instantly. After a customer adds something to their cart, you can show related products at checkout. You can make personalized recommendations by tracking their real-time actions.

Customer profiling is easy with Amazon Personalize, SageMaker, and Redshift. Even more can be done by analyzing social media, websites, and IoT data. This extra data will enable more advanced personalization. AWS Lambda and Kinesis can analyze this data live. You can track customer behavior and quickly create product recommendations and marketing campaigns with these tools.

Use Amazon SageMaker to create predictive models for customer preferences, churn risks, and purchase intent. You can create a cloud-based e-commerce platform by combining these services.

3. AI-ML hyper-personalization and recommendation engine

AI can also speed up and reduce costs. Amazon Comprehend utilizes AI to analyze product reviews, social media comments, and customer support interactions. Artificial intelligence for recommendation building is smart, too. You can boost your recommendation engine with AI.

Personalization goes beyond product recommendations to create a journey where customers see only relevant products and services without having to search through sections manually. Dynamic pricing is also effective. You can offer different prices by analyzing customer purchase behavior. AWS Lambda can be used again.

Deeper Look At AWS In eCommerce

Major eCommerce companies struggle with large product catalogs, millions of customers, and high-traffic websites. How they handle these issues has changed with cloud computing, especially AWS. They can build an infinite-scalable platform with it. This is why big companies handle peak traffic well. Cloud infrastructure lets platforms quickly scale up and down as traffic changes.

Flexibility is also very important. New products, marketing strategies, and customer preferences change eCommerce. Cloud systems let companies experiment, launch new products, and adapt quickly.

Is cloud cheaper or costlier? Depending on the company. But it saves business owners from large hardware and maintenance investments. Businesses only pay for what they use with AWS’s pay-as-you-go model. So, a season sale can save you money.

eCommerce giants need global reach. They must serve multiple countries and regions. Companies can deliver fast, low-latency experiences worldwide with AWS’s global data center network.

Improving eCommerce requires data management and analytics. Data on customer behavior and inventory levels is generated by eCommerce. Businesses can analyze data and improve operations with cloud services.