Trends
Plot any metric over time, broken down by any dimension, compared to the prior period.
Retention
A cohort grid showing what share of users come back, day by day or week by week.
Web Vitals
LCP, INP, and CLS at the 75th percentile, per page, rated good / needs work / poor.
Breakdowns
Rank any dimension — browser, country, device, path — by sessions or users.
Events
Every tracked event with its volume, trend, and the properties it carries.
Analytics reads the same real data as the Overview, but before any panel fetches it checks whether your workspace has recordings at all — so an empty workspace goes straight to an install prompt instead of a flash of empty charts.
Trends
Trends is a query builder for time series. You pick one or more series — a metric to measure — and Replayfy plots them over your selected window. Each series has two parts:
Add more than one series to overlay several metrics on the same axes, then shape the query with the controls in the rail:
- Breakdown — split the first series by a dimension (Platform, Browser, OS, Country, Device, Plan, and any dimension your events actually carry). Each value becomes a legend-toggled line.
- Granularity — 5-minute, hourly, day, week, or month, whichever fits the range.
- Compare — overlay the previous period as a faint second line to see whether the number is really up or down.
- Filters — add any number of
dimension:valuerules to scope the whole query to matching sessions.
Retention
Retention answers the question at the heart of growth: do people come back? It renders a cohort grid — one row per starting cohort, one column per period since — where each cell is the share of that cohort still active.- Day / Week — toggle whether a cohort is a day or a week of first-seen users. The toggle sits at the far right of the section.
- Return action — by default a user “returns” by starting any session. Switch the action to a specific
track()event to measure retention against a real milestone (e.g. came back and firedcheckout_completed), not just any visit.
Web Vitals
Web Vitals surfaces the three Core Web Vitals Google ranks on, computed from your real web sessions:
The headline is the share of page views that pass all three, weighted by page views, with the weakest metric called out. Below it, each page is listed with its p75 (75th-percentile) value per metric, ranked worst-first, so you jump straight to the page hurting your scores.
Core Web Vitals come from web (browser) sessions only — native app sessions don’t report LCP / INP / CLS. Filter by device with the segmented control; a mobile-app-only workspace reads an honest empty state here rather than a blank chart.
Breakdowns
Breakdowns takes a single dimension and ranks its values by a measure — the “which browsers / countries / pages drive my sessions?” question, as a first-class object rather than a footnote on another chart.1
Pick a dimension
Browser, Country, Device type, OS, URL path, Referrer, or Plan. Country values show the full name with a flag; browser values show the real browser logo.
2
Pick a measure
Rank by Sessions or Users. The headline reads the dimension, the period total, and which value leads with what share.
3
Read it as bars or a donut
Toggle between a ranked bar list and a donut lens; click any value to focus it.
Events
Events is the catalogue of everything youtrack(). Each row is one event name with its volume, a trend sparkline, and the count of distinct properties it carries — so you can see at a glance which events fire, how often, and whether their volume is moving.
Selecting an event reveals the properties it sends and their values, which is exactly the vocabulary you’ll reach for when building a Trends series, a funnel step, or a behavioral cohort.
Ask AI
Every Analytics view sits next to Replayfy AI. Instead of building a query by hand you can ask in plain language — “how did signups trend last week by plan?” — and get an answer grounded in the same real data, with a link to the sessions behind it. See Replayfy AI.Related
Product Analytics
The events model and the Overview’s Segments + Activity.
Funnels
Turn events into step-by-step conversion analysis.
Cohorts
Group users by traits and behavior, then reuse them as filters.