Product analytics
Analytics that triggers the next message.
Auto capture pageviews, clicks, and forms, track the custom events that matter, and stitch anonymous activity onto unified profiles. Build segments without SQL, measure funnels and retention, and every insight is one click from a lifecycle email.
Real workloads, not demos.
Five capabilities
Everything you need to understand product behavior.
Capture, profile, segment, funnel, retain. The five primitives that turn raw events into the insights your lifecycle email already knows how to use.
Auto capture and custom events, one SDK
Pageviews, clicks, and forms fire automatically. Custom events cover the moments that matter most: signed up, project created, plan upgraded, churn risk crossed.
One unified record per person
Anonymous sessions merge into the identified profile automatically, so every trait and every event lives on a single timeline you can actually read.
Group people by behavior, no SQL
Events, traits, and time windows in a visual editor, readable as plain English: plan is free, viewed pricing 3 or more times in 7 days, did not start a subscription.
Drop off, step by step
Pick any sequence of events and watch conversion live, broken down by trait, source, or any property attached to the event.
Cohort retention, week over week
See which weeks of signups actually stick, and what the activation pattern of sticky cohorts looks like. Click any cell to pivot to that cohort's profiles.
The loop
Every report is a trigger.
Other tools end at the chart. Here, any segment or event you build in analytics is one click from a lifecycle email. Open a segment, click Automate, and the flow editor pre-fills the entry rule. Send through Resend, Mailgun, AWS SES, or any SMTP relay, and delivery, opens, and clicks flow back to the same profile.
See the email editorUse cases
Built for the teams shipping the lifecycle.
Growth: find drop off, fix it the same week
Watch activation step by step. When a step softens, you see it within a day, and the segment you would target with a save email is already built.
Product: decide with retention, not gut feel
Cohort retention by feature, by acquisition source, by plan. Click a cell to land on those profiles, then talk to ten of them by tomorrow.
Lifecycle: behavior triggers, not list blasts
Build a segment in analytics, hit Automate, choose a template. Onboarding, trial nudges, retention saves, and win backs, all keyed on what users actually do.
Where it fits
Analytics and lifecycle, one platform.
Most teams stitch a product analytics tool to an email tool to a customer data layer. GetFluxly is the all in one alternative, so these capabilities live behind one profile instead of three synced copies.
FAQ
Common questions.
How GetFluxly Analytics fits into the modern SaaS stack.
Is GetFluxly a product analytics tool or an email tool?
Both. It's a single platform. Events flow into one customer profile, segments are built without SQL, and any segment or event can trigger lifecycle email through your existing ESP. You don't sync between two products; the analytics IS the trigger layer.
What does auto capture record?
Pageviews, click events on tagged elements, form submissions, and page leave signals. You can disable any category per project. Cookieless tracking is on by default and stores nothing in the browser while a visitor is anonymous, so there is no opt-in gate to configure. Custom events handle the moments unique to your product (signed_up, plan_upgraded, feature_used).
Do I need to write SQL to query my data?
No. Segments, funnels, and retention reports are built with a visual rule editor. The same rules read naturally in plain English: users who viewed pricing 3 or more times in 7 days and did not start a subscription. If you do want raw access, warehouse sync to S3, BigQuery, or Snowflake is one toggle away.
How does identity stitching work?
When you call identify() with a stable user ID, any anonymous activity captured on that device is merged onto the identified profile. The merge is deterministic, reversible, and auditable in the console. Cross device stitching kicks in once a known user signs in from a second device.
Can I export my data to a warehouse?
Yes. Raw events stream to S3, BigQuery, or Snowflake via the Sync API. Profiles export on a schedule or on demand. The schema is documented and stable across versions, so you can build dashboards on top of the warehouse if your analytics team prefers it.
How does this compare to a typical CDP plus analytics plus email stack?
The traditional stack is three tools wired together. With GetFluxly, the customer record, the analytics layer, and the lifecycle engine share the same primitives, so there's no sync drift, no yesterday's profile problem, and no second segment builder to keep in sync with the first.
What's the SDK footprint?
The browser SDK is about 7KB gzipped with no peer dependencies. The Node SDK is similar. Both batch events on a configurable interval and queue size, and survive tab close via the Beacon and keepalive APIs.