Getting Started with Amazon Quick for Marketing Teams
Aarush Agarwal, Worldwide AI Specialist, AWS AI Go-To-Market Team
Generative AI is revolutionizing how Marketers help brands build relationships with customers, create content for engagement, and optimize internal workflows that maximize productivity and results. With AI solutions like Amazon Quick available for use, marketing teams are empowered to take the development of solutions in their own hands. After all, who knows marketing better than marketers? Additionally, with the solutions that are available on the market today, Marketers don’t need to be reliant on IT for developing technology solutions and can begin realizing the value of AI in minutes, not weeks or months.
In this post, we will share step-by-step instructions on how Marketing organizations can start building with Amazon Quick, addressing use cases like Industry Research, Digital Ad Idea Generation, and Messaging Personalization. By following the step-by-step instructions, you will be able to deploy use cases within your environment in minutes, while also developing an understanding of how easy it is to build productivity solutions with Amazon Quick.
Use Cases
Gartner identifies content creation, personalization, advertising optimization, localization, and customer chatbots as top marketing use cases for generative AI. Other key applications include sales enablement, such as generating personalized pitches and automating prospecting, and customer service via intelligent virtual assistants. Amazon Quick provides you with the foundation to innovate with AI and help your marketing teams build brand awareness and deliver high quality leads to sales teams, which this post will explore.
Prerequisites
For this walk through, you should have the following prerequisites:
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An AWS account
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Amazon Quick Environment Configured – link for setting up and getting started instructions
Use Case 1: Research & Market Analysis
Lines of business, especially go-to-market functions, are using AI for in-depth analysis, market intelligence, and strategic planning by automating complex tasks like competitor analysis, trend spotting, and due diligence. This frees up employees to focus on high-level strategy, while AI synthesizes information from vast sources to provide faster, more comprehensive insights than traditional search. Let’s jump into how you can use Quick Research to dive deep into topics such as industry analysis and buyer persona considerations.
Using Quick Research
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Log in to the Amazon Quick console
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Using the left hand side navigation panel, select ‘Research’
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To trigger a new comprehensive research report, select ‘New Research’
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In the Research objective text box, enter the research goal desired. For example:
Please provide an in-depth analysis of the key considerations IT Professionals make when purchasing security solutions. What are their main concerns, objectives, priorities, etc. when undergoing the buying process? What are things that marketers selling security services should consider when approaching IT professionals with this context?
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Ensure Web search within Research materials is enabled
- If you have company documentation that you want included within the analysis, please provide context via the ‘File uploads’ and ‘Quick assets’ sections
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Select ‘Create plan’
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Review the ‘Topics to explore’
- If needed, revise plan using the text box in the top right
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Once aligned on the ‘Topics to explore’, select ‘Start researching’
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Allow Quick Research to work through research tasks to provide you with an in-depth analysis
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Utilize research insights to optimize marketing practices!
Use Case 2: Ad Copy Generation
A key use case for AI in marketing is utilizing it to help create content. According to Gartner, by 2025, 60% of marketing departments are expected to use some form of generative AI, with applications ranging from creating new images, videos, and text to personalizing messages at scale. Let’s jump into how you can use Quick Flows to accelerate the ideation and content creation process, helping eliminate challenges like the infamous writer’s block.
Building a Quick Flow for Ad Copy Generation
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Log in to the Amazon Quick console
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Using the left-hand side navigation panel, select ‘Flows’
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In the prompt text box, enter the goal of the desired Flow. For this example:
Scenario: You are an assistant to a marketer looking to create ad copy for digital ads
Inputs: The marketer you are assisting will provide you with the following details: 1) The product or service being promoted, 2) a description of the product or service with key selling points for promotion, and 3) the target persona and/or type of company being targeted in the campaign
Output: After doing some research to think through considerations for how to appeal to the target persona and/or buyer using web search to understand persona/industry considerations, create 5 text ideas for the following categories to support digital ad creation with varying amounts of text: 1) short and catchy, 2) professional and authoritative, and 3) funny and light hearted
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Click ‘Generate’
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To test the flow, switch from ‘Editor’ to ‘Run mode’
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Provide the Flow with necessary inputs. For example:
Product or Service: Amazon Quick Research
Product Description and Key Selling Points: Amazon Quick Research is an AI-powered agent that combines your organization's internal knowledge with data from the public internet to deliver expert-level insights in hours instead of weeks. To get started, enter your research objective and watch as the agent develops a plan and conducts in-depth research. Collaborate with the agent to iterate on the research and create customized reports, all with key insights linked to original sources. Users can also enhance their research with trusted third-party content sources. From discovery to synthesis, Quick Research streamlines the entire process, empowering you to make faster, more informed decisions.
Target Persona and Company Type: Marketers in Retail
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Click ‘Start’
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To optimize outputs, switch back to ‘Editor’
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Click on an input or output step to begin editing
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Adjust ‘Prompt’ as needed. For example, specifying the number of words for the short and catchy ad copy
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Click ‘Save’ when done editing a ‘Prompt’
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Switch back to ‘Run mode’ for testing
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Once satisfied with outputs, click on ‘Share and Publish’ to enable teammates to utilize your newly created Flow for optimizing digital ad copy generation
Use Case 3: Personalizing Messaging
To optimize conversion and resonate with customers, Marketers know it’s important to speak in your customer’s language. AI can modify your well-crafted value propositions to do just that, helping optimize conversion rates. Let’s jump into how you can use Quick Flows to help your sales team take the messaging developed by Marketers and apply it to individual customers, utilizing Flows’ ability to search for customer goals and leverage generative AI to personalize messaging.
Building a Quick Flow for Messaging Personalization
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Log in to the Amazon Quick console
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Using the left-hand side navigation panel, select ‘Flows’
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In the prompt text box, enter the goal of the desired Flow. For this example:
Scenario: You are an assistant to a sales representative modifying messaging provided by the marketing team to better resonate with individual customers
Inputs: The sales representative you are assisting with will provide you with the following details: 1) The product or service being promoted, 2) a description of the product or service with key selling points for promotion, 3) the target persona or title, 4) The customer’s name, and 5) The customer’s industry
Output: After doing research on the customer’s main business objectives, goals, current initiatives, persona’s priorities, and industry trends, leverage the provided messaging to create a 3-email outbound sequence with the goal of setting up an introductory call and introducing to the customer the product/service’s value in the customer’s context. Optimize the messaging by ensuring all information is factual (ex. avoid customer reference hallucination) and that you stay within the brand guidelines of the product description provided. Introduce a step to review the three emails after they are created, improve them, and share all 3 improved emails in a combined output.
Here are some guidelines for the email:
1) Ensure emails are no longer than 125 words long
2) Maintain a professional and helpful tone
3) Refrain from sharing any product references and impact measurements to ensure accuracy
4) Ensure all metrics provided are accurate and are being sourced from a reputable source
- Click ‘Generate’
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To test the flow, switch from ‘Editor’ to ‘Run mode’
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Provide the Flow with necessary inputs for testing. For example:
Product or Service: Amazon Quick Research
Product Description and Key Selling Points: Amazon Quick Research is an AI-powered agent that combines your organization's internal knowledge with data from the public internet to deliver expert-level insights in hours instead of weeks. To get started, enter your research objective and watch as the agent develops a plan and conducts in-depth research. Collaborate with the agent to iterate on the research and create customized reports, all with key insights linked to original sources. Users can also enhance their research with trusted third-party content sources. From discovery to synthesis, Quick Research streamlines the entire process, empowering you to make faster, more informed decisions.
Target Persona: Chief Marketing Officer
Customer Name: Whole Foods Market
Customer Industry: Grocery Retailer
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Click ‘Start’
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Test with a service or product offering from your company with a realistic prospect customer
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To optimize outputs, switch back to ‘Editor’
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Click on an input or output step to begin editing by editing the ‘Prompt’. For example:
- Here, we ask Quick to: “Edit: Please consider product we are trying to promote in context of the research being executed - @EnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnterEnter Product or Service: @Enter Product Description”
- Note: You’re able to reference the value of user input by typing ‘@’ and selecting the value desired to provide additional context to the model
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Continue to adjust ‘Prompts’ as needed. For example, specifying the intro to emails or changing the call-to-action
- Click ‘Save’ when done editing a ‘Prompt’
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Switch back to ‘Run mode’ for testing
Once satisfied with outputs, click on ‘Share and Publish’ to enable sales counterparts to utilize your newly created Flow for optimizing digital ad copy generation.
Use Case 4: Blog Idea Generation
The dreaded writer’s block is something all Marketers know too well. Sometimes, we just need a kick start to get the content creation process going. Let’s jump into how you can use Quick Flows to help generate ideas for blogs, ultimately helping you accelerate the pace at which you produce content that positions your brand as a thought leader.
Building a Quick Flow for Blog Idea Generation
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Log in to the Amazon Quick console
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Using the left-hand side navigation panel, select ‘Flows’
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In the prompt text box, enter the goal of the desired Flow. For this example:
Scenario: You are the assistant to a marketing professional thinking through blog ideas to promote brand awareness, resonate with prospective customers, and continue to position the brand as a thought leader in the space
Inputs: The marketing professional who you are assisting will provide you with the following pieces of context for you to better assist the Marketer: 1) Product, 2) Product Description, 3) Industry, 4) Target Personas, 5) Key Topics of Relevance
Outputs: Given the provided information, you need to provide the following resources back to the marketing professional:
1) 5 timely blog ideas
2) Outlines for each of the blogs with sample text to help with writer's block
3) Recommendations for topics related to the blog ideas for the Marketer to explore
4) Tiebacks to the Marketer's product for promotional purposes
5) Explanations for how the blog can help move advance the Marketing team's goals of brand awareness and customer acquisition
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Click ‘Generate’
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To test the flow, switch from ‘Editor’ to ‘Run mode’ near the top of the screen
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Provide the Flow with necessary inputs for testing. For example:
Product Name: Amazon Quick Flows
Product Description: Quick Flows lets anyone build automations to handle repetitive or routine tasks in seconds, using simple, everyday language prompts, and then easily share these workflows with individuals and teams across the organization. You can easily customize the output to meet your exact needs.
Industry: Small to Medium Sized Businesses
Target Persona: Head of Operations
Key Topics of Relevance: Productivity gains via AI, easy to use AI for business professionals
- Click ‘Generate’
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Test with a service or product offering from your company
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To optimize outputs, switch back to ‘Editor’
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Click on an input or output step to begin editing by adjusting the ‘Prompt’
- Click ‘Save’ when done editing a ‘Prompt’
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Switch back to ‘Run mode’ for testing
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Once satisfied with outputs, click on ‘Share and Publish’ to enable your colleagues to utilize your newly created Flow for blog idea generation!
Conclusion
In this post, we’ve explored how marketing teams can leverage Amazon Quick to transform their creative and strategic operations through AI-powered automation. By implementing the key use cases we’ve covered - industry research, ad copy generation, and messaging personalization - marketers can accelerate their content creation process while maintaining brand consistency and improving campaign effectiveness.
Getting started is simple: begin by setting up your Amazon Quick environment, then explore the Research capability to enhance your market understanding. As you become familiar with the platform, create your first Flow to generate creative content, and share your successful workflows with your team to scale your marketing efforts. Through embracing these AI-powered solutions, marketing teams can spend less time on repetitive content creation and more time focusing on strategic initiatives that drive brand growth and customer engagement.
For more insights on maximizing your marketing effectiveness with AI, explore our additional resources on measuring campaign performance with AI-powered tools and advanced Quick features for enterprise marketing teams.