AWS Partner Network (APN) Blog
Accelerate Product Growth with Amplitude AI Agents and HAQM Bedrock
By: Luis Romero, Product Marketing Director, Amplitude
By: Elvis Pappachen, Sr. Solutions Architect, AWS
By: Martin Ristov, Sr. Partner AI Technologist
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Product teams rely heavily on timely user feedback and analytics data from end users. This information helps understand user behavior, identify potential issues, and plan future roadmap enhancements to retain and grow user adoption. Organizations face a critical business problem – the growing gap between detecting user behavior issues and acting. Product teams can spend hours manually analyzing dashboards to identify problems and marketing campaigns continue running without optimization. Increased demand for data analytics teams leads to delays between insight and action which directly impacts customer retention, revenue, and team productivity.
By collaborating with HAQM Web Services (AWS), Amplitude addressed this challenge by bringing Amplitude AI Agents to product analytics. Using HAQM Bedrock‘s foundation models, Amplitude AI Agents automatically detect user friction points, recommend solutions, and implement changes in real time, transforming analytics from a reactive to proactive process. This solution helps organizations identify and respond to user behavior changes, scale experimentation without increasing headcount. Personalized experiences based on real-time data, while freeing data teams to focus on strategic initiatives.
This blog explores how Amplitude AI Agents, in collaboration with HAQM Bedrock, are transforming how enterprise teams move from insight to action, enabling organizations to respond to customer needs at the speed of their business.
Introducing the AI-powered Amplitude Digital Analytics Platform
Imagine product teams that don’t just spot friction but have Amplitude AI Agents that proactively surface issues, suggest fixes, and recommend experiments. Marketing teams that optimize campaigns in real time, dynamically adjust targeting, and personalize content without waiting for an analyst. Data teams that stay in control while automating the repetitive work that slows them down.
At its core, Amplitude helps organizations answer essential questions like: What features keep users engaged? Where are customers dropping off? What behaviors lead to conversion or churn? By capturing and analyzing real-time behavioral data, Amplitude empowers teams to move beyond vanity metrics and uncover the true drivers of retention, engagement, and revenue.
Amplitude AI Agents transform reactive analytics into proactive insights. These agents automatically monitor behavior, detect friction points, and recommend data-driven actions—eliminating manual dashboard analysis and analyst bottlenecks. Teams across product, marketing, and data can now make faster, smarter decisions with real-time AI-powered insights.
By combining Amplitude’s best-in-class behavioral analytics with the intelligence of Amplitude AI Agents, organizations can scale insight generation, accelerate experimentation, and deliver personalized experiences that drive long-term growth. Figure 1 shows example conversation starters to get you going.
Figure 1 – Amplitude AI Agents templates
Unlocking AI with HAQM Bedrock
HAQM Bedrock is a fully managed service that offers easy access to a wide range of foundation models (FMs) from leading AI companies through a single application programming interface (API). HAQM Bedrock developers can build and scale generative AI applications quickly and securely, without the need to manage complex infrastructure. With access to Anthropic, AI21 Labs, Stability AI, and HAQM’s Nova and Titan models through HAQM Bedrock, users can pick the perfect foundation model for their specific task.
HAQM Bedrock offers private FM customization using organizational data, smooth AWS service integration, and robust enterprise-level security and compliance. This service provides text and image generation capabilities, with flexible deployment choices like serverless for simple scaling. With HAQM Bedrock, businesses can leverage the power of generative AI while maintaining control over their data and applications, accelerating innovation across a wide range of industries and use cases.
Product Innovation with Amplitude and HAQM Bedrock
Amplitude collaborated with AWS to incorporate AI agents to its platform with HAQM Bedrock. This enabled Amplitude to build intelligent, scalable AI experiences directly into its analytics platform.
HAQM Bedrock assists with orchestrating chat-based workflows and driving automated web experimentation. Using HAQM Bedrock’s advanced foundation models, Amplitude AI Agents intelligently generate code to create and test dynamic web variants, empowering teams to run continuous experiments at scale.
Amplitude leverages HAQM Bedrock’s vision capabilities to analyze website screenshots, detecting design flaws and improving user experience, going beyond typical text and code analysis. Amplitude and AWS are redefining how teams translate insights into action, enabling faster, intelligent, and self-sufficient experimentation.
How Amplitude AI Agents are Helping Teams
Amplitude AI agents become a hands-on teammate that speeds up decision-making, experimentation, and execution across the entire organization. Amplitude’s AI Agents free teams from manual tasks, provide real-time insights, and boost confidence and accuracy by utilizing the AI integration with HAQM Bedrock.
Product Teams: Build smarter, faster
To avoid dashboard-based or anecdotal issue identification, Amplitude AI Agents actively monitor user behavior, revealing friction points and performance bottlenecks to suggest data-driven solutions. Whether it’s improving onboarding, refining a feature, or testing a new flow, product teams can now move from insight to iteration faster, driving higher retention and sustained revenue growth.
Marketing Teams: Optimize in real-time
Gone are the days of launching a campaign and waiting weeks for a performance review. Amplitude AI Agents analyze real-time audience engagement, fine-tuning targeting and personalizing messaging. This ensures marketers can maximize every dollar, deliver relevant experiences, and adapt quickly to customer behavior and market shifts.
Data Teams: Scale without Bottlenecks
For data teams, the rise of Amplitude AI Agents means less time is spent on repetitive queries, report generation, and fire drills. Agents handle the undifferentiated work, automating analysis, surfacing insights, and flagging anomalies, while keeping data teams in control of governance and strategy. Whether they’re enabling self-serve analytics for business teams or scaling their impact across departments, AI gives data leaders the leverage to focus on high-value work and system-wide optimization.
How Amplitude AI Agents Support Conversion Rate Optimization
One of the most common and costly questions digital teams face is: “Why aren’t users converting?” Traditionally, answering this means hours of digging through analytics, watching session replays, forming hypotheses, coordinating with design and engineering, and setting up tests.
With Amplitude AI Agents, that entire workflow is now automated, turning what used to be a reactive investigation into a continuous optimization loop. Detecting drop-offs, analyzing session replays to pinpoint friction, hypothesizing, recommending actions, launching experiments, and monitoring are all part of the optimization loop.
- Detect the Drop-Off: You don’t need to hunt for the problem—just ask your agent. It automatically analyzes behavioral patterns and pinpoints where users are falling off, combining funnel analytics with session replays to surface the friction in seconds.
- Generate a Hypothesis: The agent pulls from behavioral insights across the platform, including cohort trends, event anomalies, and prior experiments, to form a data-backed hypothesis. For example: “Users are exiting at the pricing page due to low engagement with the call-to-action.”
- Recommend Action: Based on what it sees, the agent suggests high-impact changes like a clearer call to action (CTA), layout adjustment, or a personalized message for a specific segment. It also prioritizes suggestions based on predicted impact and ease of implementation.
- Launch a Test: The agent can automatically set up and run an experiment test to validate the solution, no handoffs or dashboards required. It monitors performance in real time and flags which variant drives higher conversion.
- Refine with Feedback: Once the test is complete, the agent can collect survey responses, analyze sentiment, and activate the right audiences, continuously learning and refining the final experience to maximize conversions across segments.
Conclusion
The collaboration between Amplitude and AWS represents a step forward in AI-driven product analytics and growth. Combining HAQM Bedrock’s foundation models and Amplitude’s analytics platform lets teams use Amplitude AI Agents to find problems, create data-driven hypotheses, automate experiments, and speed up insights.
As we look to the future, this combination of Amplitude’s deep product analytics expertise and AWS’s cutting-edge AI capabilities promises to reshape how digital teams operate. By automating routine tasks and enabling continuous optimization, teams can focus on strategic initiatives that drive long-term growth.
Sign up for the beta and experience how Amplitude AI Agents can transform your team’s approach to digital analytics.
Amplitude – AWS Partner Spotlight
Amplitude, an AWS partner, is the digital analytics platform that helps companies unlock the power of their products. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth.