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Amplitude

Meet the Winners of the 2026 Amplitude AI Impact Awards Beyond Last-Touch Attribution: Find Out Which Interactions Really Matter Agent Connectors Are Better Together Agents That Act on What Actually Happened How Square Used Amplitude to Enhance the Seller Experience and Power Growth Migrating Analytics Platforms Without The Chaos Wanted Lab Grows Sign-Ups by 150% & Builds Experimentation Culture How to Balance Inference Cost and User Experience for Agents Introducing Zoning Insights: Web Intelligence at a Glance Five best practices for getting started with AI agents 24 Quarters at #1. Here’s What’s Next. How We Built a Product That Tells Us What To Build Next: Inside Amplitude Wave Looking Beyond Campaign Metrics: 7 Marketing Success Stories AI Evals for Product Managers: A Beginner’s Guide to Getting Started The Builder Skills Library Introducing Agent Connectors in Amplitude Understand How AI Thinks, Get Better Results How We Redesigned Amplitude Docs for Agents and Made Everyone an Author AI Broke Your Experimentation Program. Here’s How to Fix It. Every Stuck User Is a Support Ticket Waiting to Happen Tracing the Sale: Connect Behavior to Conversions with Persisted Properties Building CLI Agents: It’s What You Don’t Give Them That Counts Three Tips for Better Prompts in Amplitude Global Agent How AI Took the Data Analyst’s Job, and Created a Better One Default Prompts Are Tanking Your Agent’s Retention Optimizing Core Web Vitals with Amplitude’s Global Agent Don’t Ask Global Agent Anything, Ask These Three Things How We Built a Design Agent at Amplitude with Claude Managed Agents and Cloudflare The Problem with Chasing Churn How Hostinger Achieved a 20%+ Conversion Lift Through Experimentation How STAGE Streams Smarter by Putting Data at the Center Building the Validation Stack for AI Product Development Making AI Analytics Safe for Financial Services Teams Amplitude Heatmaps Update: More Reliable Screenshots and Accurate Placement Most Teams Ship Agent Personalities by Accident. We Didn’t. What I Learned Pointing a Ralph Loop at My Product for a Week How Mercado Libre Scales Decision Making with AI Claude Cowork for PMs: 5 Playbooks to Get Started How ACKO Drove 13% More Conversions & 50% Drop in Calls with GenAI Agents Just Made Your Feature Launch Channel Smarter Homegrown FinOps Tools: How AI “Build” Beat “Buy” for Us in <1 Year Introducing The Amplitude Quickstart Series Rebuilding Session Replay’s Delivery Layer to Be Lighter on Your Page The Eval Signal That Predicts 3x Agent Retention Agents Write Code. Fixing It Is Still On You. Amplitude and Statsig Partnership 5 Agent Skills to Automate Your Weekly Product Review Amplitude Plug and Play: New AI Plugin in Claude and Cursor Marketplaces Introducing Amplitude Wizard CLI: Set Up Amplitude from Your Codebase Making AI Search Count (and Convert) How VEED Evolved Its AI Search Strategy What’s New with Amplitude Agents Effortless Support at Scale: Making Human Support More Human AI Week 2026: Upleveling All Together Amplitude AI Builders: Paul Hultgren Chats about AI Assistant Dashboard Dread to AI-Driven Decisions: How Tira Rebuilt Its Analytics Workflow Your Product Deserves a Better Support Agent
How Cisco Systems Accelerated Adoption by 20% Through Data Innovation
Balaji Venkatraman · 2026-04-15 · via Amplitude

Insights/Action/Outcome: Cisco Systems set out to make data a catalyst for innovation. By developing an Autocapture feature and integrating it with Amplitude, the team created an automated analytics foundation that dramatically reduced instrumentation time. This new approach reduced customer adoption time by 20% and established a sustainable culture of experimentation.


Reimagining analytics for a faster world

At Cisco, we focus on building secure, seamless connectivity for enterprises. Like many SaaS platforms, parts of our control plane are built on infrastructure from Amazon Web Services, using cloud compute, storage, and network services to deliver functionality, enforce security and access policies, and route customer traffic to the right destinations.

But as our platform scaled, so did the complexity of our data. Instrumentation cycles were long, engineering resources were stretched, and by the time insights reached product teams, the moment to act had often passed.

As VP of product, I knew we needed a new approach. Product, data, and engineering came together around a simple idea: analytics should move at the speed of innovation. That idea was foundational to integrating Autocapture with Amplitude.

From hackathon concept to global capability

Autocapture started as a cross-functional hackathon project. The goal was ambitious but clear: remove the dependency on manual event tracking. Instead of engineers hard-coding every action, Autocapture automatically detects key user interactions and logs them in real time.

When we integrated it with Amplitude, our teams gained instant access to high-quality behavioral data. Engineers no longer had to prioritize analytics tickets. Product teams could explore user journeys and test hypotheses immediately.

Autocapture changed everything. We moved from tracking manually to learning automatically, turning analytics into an engine of speed.

That acceleration gave us freedom. We could focus on improving the product experience rather than instrumenting it.

Turning data into better experiences

With faster, richer telemetry in place, our focus shifted to customer adoption. Using Amplitude, we analyzed behavioral patterns to understand where users succeeded and where they struggled during onboarding.

It quickly became clear that not all customers followed the same journey. Enterprise administrators faced different friction points than small teams. By grouping users into adoption cohorts, we uncovered where to simplify workflows and where to provide more guidance.

These insights informed targeted onboarding flows and tailored in-product messaging. The changes shortened time-to-value and improved activation rates. Within months, average customer adoption time dropped by 20%.

Amplitude showed us not just what users were doing, but where they needed help and how to deliver it faster.

Redefining success through smarter metrics

The transformation wasn’t just technical; it was strategic. Our legacy metrics focused on activity: logins, sessions, and clicks. We needed to focus on value.

Working with Amplitude, we redesigned our KPI framework to reflect meaningful outcomes, including feature adoption, onboarding success, and long-term retention. This change aligned every team around a shared understanding of customer impact.

Data stopped being something only analysts discussed. It became the language of product, design, and leadership.

A foundation for lasting innovation

What began as a hackathon experiment has become part of Cisco’s operating model. Today, Amplitude powers a unified data ecosystem where insights flow easily between engineering, product, sales, and customer success teams.

Dashboards update in real time, adoption trends are visible at every level, and teams make decisions with confidence. Engineers are freed from repetitive tasks, while product managers iterate faster than ever.

Thanks to Amplitude’s flexibility, we innovate without compromise. It provides the structure we need to move quickly and the clarity to know where to go next.

Looking ahead

The systems we’ve built aren’t one-time projects—they’re the groundwork for continuous innovation. Our teams now think in experiments, measure results in real time, and use data to design experiences that matter.

Innovation, to me, isn’t about speed for its own sake. It’s about building systems that make speed sustainable and insights actionable. With Amplitude, we’ve created exactly that.

Innovation isn’t just about building faster. It’s about building smarter, with data leading the way.