Product analytics

The answer is already in your data. Getting it out is the problem.

Funnels, cohorts and segments over the events you already send — asked in plain English, answered in seconds, with the recordings behind the number a click away. No warehouse to model. No ticket to the data team.

  • Live in an afternoon
  • No credit card
  • Replaces Mixpanel and Amplitude
Sound familiar?

Every team has the numbers. Almost none can act on them.

“Can someone pull this?”

The question becomes a ticket, the ticket joins a queue, and the answer arrives the week after the decision had to be made.

“That is not what my dashboard says.”

Two tools, two definitions of activation, and the first twenty minutes of the review spent reconciling them instead of deciding anything.

“We do not track that yet.”

The one event that would have answered it was never instrumented, so the answer is weeks away — if it gets prioritised at all.

Funnel · signup → activationLast 30 daysn = 12,480
01Visited pricing

12,480

Entered

02Started signup

7,940

−36.4%

03Created workspace

5,210

−34.4%

04Connected data

1,920

−63.1%

05Saved a view

1,410

−26.6%

Readout · stage-to-stage

01→02−36.4%4,540 lost
02→03−34.4%2,730 lost
03→04−63.1%3,290 lost
04→05−26.6%510 lost

Largest fall-off · stage 03 → 04

Connecting data
loses 63.1%.

3,290 people got a workspace named and never verified the tag. That is the step to fix — not the one before it, and not the one after.

What you get

Four things you were promised and never quite got.

Funnels

The step losing the money, named.

Build a funnel from events you already send. Flowgrid calls out the stage with the biggest fall-off instead of drawing four bars and leaving the subtraction to you.

  • Any event you already send — no new instrumentation
  • The losing step flagged, with that window’s friction sessions one click away
  • Segment the same funnel by device, plan or campaign
Activation funnelLast 28 days
Visited100%
Signed up74%

Biggest drop — 26% lost here · watch the friction sessions

Activated56%
Retained38%
Cohorts

Which month of signups actually paid off.

The people who arrived in March are not the people who arrived in July, and they are not worth the same. Group them by the month they landed and read what each intake has been worth since.

  • Acquisition cohorts with the people and the revenue side by side
  • Returning and win-back visitors recognised across sessions
  • Recomputed daily, so the board is never last week’s number
Revenue by acquisition cohortRecomputed daily
CohortPeopleRevenue since
March1,030
$16.9k
April1,053
$9.7k
May636
$6.3k
June988
$7.4k
July1,106
$6.5k
Ask in plain language

Type the question. Read the answer.

No query language, no ticket, no waiting until Thursday. The agent picks the right data, runs it, and shows its working — so you can check the answer rather than take it on faith.

  • Answers in seconds, with the numbers behind them shown underneath
  • Follow-up questions keep the context
  • Anyone on the team can ask, not only the analyst
Ask FlowgridLive

Which step of onboarding loses the most people?

Answer
  • Visited96%
  • Signed up78%
  • Activated44%
  • Retained24%
Working shownFollow-ups keep contextNo SQL
Evidence

The drop-off opens the recordings.

“Activation dropped 12%” is an argument. A recording of four people failing the same step is a decision.

  • The biggest fall-off links straight to that window’s friction sessions
  • Friction already labelled — rage clicks, error bursts, abandons
  • Hand a teammate the exact fifteen seconds with a comment
Sessions behind this number412 with friction
  • AK

    Checkout · 2m 53s

    Desktop · Chrome · London

    Rage click
  • BJ

    Signup · 3m 33s

    Desktop · Chrome · Berlin

    Form abandon
  • CI

    Pricing · 4m 14s

    Desktop · Chrome · Austin

    Error burst
  • DH

    Settings · 5m 17s

    Desktop · Chrome · Toronto

    Form abandon
The maths

One system, not four subscriptions.

Flowgrid
A point-tool stack
Funnels, cohorts and segments
Included
Your product analytics tool
Session replay on the same events
Attached to the metric that moved
A second tool, a second bill
Heatmaps and scroll maps
Included, per page and per device
A third tool
Feature flags and experiments
Included, measured against your goals
A fourth vendor
Asking in plain English
Built in, with the working shown
Learn the query builder, or ask someone who has
Answering a question you did not plan for
Device, page and campaign already on every event
A tracking plan and weeks of work
One definition of activation
One goal, read by every board and alert
Four tools, four definitions

Most teams arrive paying for a product analytics tool, a replay tool and a flags vendor, with a warehouse job holding them together. This is the list they cancel.

What changes
One afternoon
From dropping in the tag to your first funnel. No warehouse to model, no tracking plan to agree, no migration.
Zero SQL Knowledge
Questions get typed in English. The agent picks the data, runs it, and shows the working so you can check it.
One event stream
Product analytics, web analytics, replay and revenue all read the same events. There is nothing to reconcile.

The charts that move open the sessions from the window they moved in — so “activation dropped” turns into a recording of somebody dropping.

In your words

Ask it like you’d ask a colleague.

No query language, no ticket to the data team. Type the question and the answer comes back with the working shown.

  • Which step of onboarding loses the most people?
  • Do users from paid search retain better than organic?
  • What changed after last Tuesday’s release?
  • Which segment converts twice as well as the rest?
  • Which feature do the accounts that renew actually use?
Before you ask

The reasons people talk themselves out of it.