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For years, product, growth, and marketing teams have been sitting on mountains of behavioural data but not enough time, people, or context to do something meaningful with it.
Teams want to experiment faster. Launch smarter. Catch problems before they turn into churn. But most analytics tools still operate in the same way they did a decade ago: dashboards, reports, and waiting for someone to make sense of it all. That’s why Amplitude’s new AI Agents matter not just for product teams, but for the entire growth engine.
The problem: insight isn’t action
Most teams already know where their funnel is leaking, or that certain features aren’t being adopted. The issue isn’t seeing the problem it’s having the time and resources to fix it.
Traditional analytics loops look like this:
- Spot the issue
- Pull the data
- Form a hypothesis
- Run a test
- Wait
- Repeat
It’s methodical. But slow. And almost always bottlenecked by analyst bandwidth, context gaps, or tooling limitations.
What are AI Agents?
Amplitude AI Agents shift analytics from passive reporting to active optimisation. They turn your product data into action autonomously, intelligently, and constantly.
Instead of reacting to a drop in conversion or guessing why new users are churning, AI Agents work like alwayson teammates embedded into your product team. They:
- Detect patterns and anomalies
- Generate hypotheses
- Design experiments
- Run tests (with your approval)
- Track and surface impact
All while your actual team focuses on strategy.
How this helps product, marketing, and data teams
Product Managers: No more juggling a backlog of unknowns. AI Agents help you test more ideas, faster and prioritise what actually works.
Marketing Leads: Run continuous, cohort specific tests without needing dev support.
Data Analysts: Less time on reactive requests, more time shaping strategy.
Growth and Retention Teams: Spot friction points, run the right experiments, and drive outcomes.
What this looks like in action
Conversion optimisation: Suggests targeted A/B tests and recommends highper forming variants.
Onboarding: Launches tailored in product guides, captures feedback.
Feature adoption: Identifies engagement gaps and runs micro experiments.
Monetisation: Detects signals of purchase intent and recommends cohort specific nudges.
What makes this different?
A lot of analytics platforms stop at AI recommendations. Amplitude’s Agents go further:
- Investigate problems
- Learn from past data
- Propose and run tests
- Track results and iterate
This isn’t about reporting it’s about action. Agents don’t just flag issues. They fix them. Learn more about AI Agents.
What does this mean for South African businesses?
Bandwidth constraints. Small analyst teams. Blended roles. High expectations.
AI Agents can:
- Reduce manual work
- Improve iteration speed
- Close the insighttoimpact gap
- Help crossfunctional teams make better decisions, faster
Where YOUKNOW fits in
As Amplitude’s official partner in South Africa, we help teams:
- Audit their Martech stack
- Build experimentation frameworks
- Run AI readiness workshops
- Implement Amplitude AI Agents
Want to see what this looks like for your team?
We’re currently offering discovery sessions for businesses that want to:
- Run alwayson experiments
- Optimise their onboarding or conversion flows
- Understand how AI Agents can reduce their team’s manual load
Book a consultation with our team to learn more.
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