AWS for Industries

Boost Engagement with AWS and Amazon Ads

In the rapidly changing consumer goods landscape, brands must precisely capture and keep customer attention. With AWS and Amazon Ads, brands can tailor experiences, target audiences with pinpoint accuracy, and securely collaborate with third-party partners. This blog will explore how these tools drive tangible results.

Deliver tailored customer experiences that pay off

Customers today seek trustworthy brands that deliver relevant, tailored experiences. They also demand personalization. AWS and Amazon Ads empower companies to integrate real-time, data-driven insights for personalization at scale.

Using first- and third-party data, AWS-powered analytical tools allow brands to segment their audiences based on behavior, preferences, and purchase history. With these insights, brands can provide personalized product recommendations and experiences, boosting customer engagement and driving conversions.

Personalization isn’t only a buzzword; it translates to higher conversion rates and longer customer relationships. When brands invest in tailored experiences, they build stronger connections with customers—connections that create brand loyalty and lifetime value.

Address target audiences directly

Hyper-targeting is critical to maximizing ad performance. Advertisers can easily use Amazon Ads to hyper-segment audiences and deliver precise messaging. This segmentation helps brands target specific consumer behaviors, regions, or demographic profiles.

For example, a skincare brand can show ads to customers who have recently browsed beauty products or purchased within similar categories. This approach ensures that every ad is relevant to the target audience, improving click-through rates and overall campaign success. Personalized messaging drives results because customers respond positively when they feel understood.

Stay ahead with advanced customer profiling

Customer profiles have evolved beyond basic demographics. By using Amazon Ads data with services such as Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker, brands can use machine learning to build comprehensive customer profiles based on transactional, behavioral, and psychographic data.

By predicting specific customer behaviors, such as purchase propensity, brands can deliver more relevant ads and content, increasing engagement and conversions. Advanced profiling helps advertisers allocate budgets more efficiently, ensuring the right message reaches the right person at the right time. Brands can stay competitive by creating highly relevant campaigns that resonate with each audience’s unique needs.

Collaborate securely with Amazon Marketing Cloud and AWS Clean Rooms

Collaborating with third parties is essential to enriching customer data, but it comes with privacy challenges. Amazon Marketing Cloud (AMC) and AWS Clean Rooms provide secure data-sharing environments that don’t compromise on privacy.

AWS Clean Rooms enable privacy-compliant collaboration, ensuring data is securely processed and anonymized. This is particularly important in consumer goods advertising, where brands frequently partner with data providers to enhance customer profiles. AMC allows for advanced analytics while maintaining strict data-privacy standards, which helps advertisers maximize the value of partnerships while maintaining customer trust.

Coordinate advertising campaigns across platforms with ease

Running coordinated campaigns across multiple channels is challenging. AWS helps brands maximize efforts by streamlining operations and ensuring consistent messaging. Amazon Ads offers cross-platform campaign-management tools, while AWS integrates marketing tools to facilitate seamless data sharing.

Coordinating campaigns is especially important for global brands. AWS and Amazon Ads ensure messaging remains consistent across regions, delivering a unified brand experience worldwide.

Unleash the potential of generative AI with Amazon Bedrock

Generative AI is transforming ad creation, and Amazon Bedrock is at the forefront. Advertisers can use generative AI to create dynamic, personalized ads that resonate with individual consumers. AI-driven ads can be tailored to different segments, saving time while ensuring relevance at scale. And with a variety of large language models in Amazon Bedrock, brands can produce high-quality, engaging ads that adapt to real-time customer interactions, improving conversion rates.

Ready to reach new advertising heights?

As the advertising landscape evolves, consumer goods brands must embrace advanced technologies to remain competitive. AWS and Amazon Ads offer powerful tools to deliver personalized, hyper-targeted campaigns that drive real results.

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Wilson Thankachan

Wilson Thankachan

Wilson Thankachan is the global CPG partner solutions architect at AWS, with a background in supply chain. He works with AWS partners in validating their technical offerings, providing them guidance to help serve the needs of AWS CPG customers.

Prashant Yadav

Prashant Yadav

Prashant Yadav is a Senior PSA specializing in AdTech, MarTech, and Generative AI at Amazon Web Services (AWS). As a Certified Solutions Architect, Generative AI Practitioner and MBA graduate, Prashant brings a unique blend of technical expertise and business acumen to his role. He excels in architecting scalable, resilient, and cost-effective solutions consistently devivering high-impact results that drive business success.