Link your deployment pipeline to product analytics so every Netlify release is measured against real user behavior in Amplitude.
Automatically annotate Amplitude charts with Netlify deploy events to give analytics teams instant release context
Trigger post-deploy behavioral comparison reports to measure user impact of each frontend release
Alert engineering teams when a deploy correlates with a significant drop in key Amplitude product metrics
Deployment velocity means nothing without visibility into impact. When Amplitude and Netlify work together, your team can immediately see how each frontend release affects user engagement, retention, and conversion. Instead of guessing whether a UI change helped or hurt, you get data-backed answers within hours of going live.
Neotask bridges Amplitude and Netlify so your workflows run without manual hand-offs:
Product and engineering teams use this integration to close the feedback loop between shipping and learning:
Feature flag releases: When a Netlify deploy activates a new feature for a subset of users, Neotask can automatically create an Amplitude cohort for that group and begin tracking conversion against a control group.
A/B test deployments: Ship variant B to a Netlify preview URL, send targeted traffic using Amplitude experiment data, and collect results without any manual CSV exports or copy-paste workflows.
Regression detection: Set threshold alerts on core metrics like session length or checkout completion. If a deploy causes a measurable regression, your on-call engineer gets notified before customer support tickets pile up.
Neotask connects to both Amplitude and Netlify using your existing API credentials. Once linked, you can describe the workflow you want in plain language and Neotask handles the rest. No custom scripts, no webhook plumbing, no infrastructure to maintain.
Start by connecting your Amplitude project and Netlify team in Neotask settings, then describe your first automation goal.
Faster iteration by closing the loop between deploying code and understanding its effect on user behavior
Shared deployment context across product and engineering without requiring CI/CD access for every stakeholder
Earlier regression detection by correlating metric changes directly to the Netlify deploy that caused them
Set up in under 2 minutes. No code required.
$0/mo
Download without a card and start for free.
$50/mo
The full personal agent platform for one person.
$100/mo
One company workspace with room to add your team.
$200/mo
Multiple workspaces and capacity for larger teams.
Explore: Integrations · Skills · Glossary · Solutions · Use cases · Examples · Comparisons · Templates · Blog · Docs