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TixFin

Analytics

Decisions from data, not from memory

Overview metrics, live and time-series views, funnels, goals, errors and retention — per project, next to the ticket KPIs and ops analytics that come with the rest of the platform.

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In short

What does TixFin analytics show?

Each project has its own analytics configuration and a broad set of evaluations: overview metrics, a live and time-series perspective, events, sessions and users, funnel and goal analysis, and error and retention reporting. That enables data-driven optimisation of the shop, campaigns and event performance. Alongside it, operators get sales figures, status distributions and dashboard KPIs for tickets, and CrewOps carries its own analytics view for the operational side.

  • Overview, live and time-series perspectives

  • Funnel, goal, error and retention analysis

  • Ticket KPIs and separate ops analytics

Analytics

One dashboard, sales and operations

Because analytics, ticketing and CrewOps sit in the same platform, the fill rate, the no-show rate, the conversion funnel and the revenue curve all describe the same event. That is what makes a post-event review actionable instead of anecdotal.

The TixFin project dashboard showing analytics for events and sales
The TixFin project dashboard showing analytics for events and sales

Capabilities

The numbers that change a decision

  • 01

    Overview metrics

    A per-project summary of how the shop and the events are performing, without assembling it from exports.

  • 02

    Live and time series

    Watch what is happening right now and compare it against the trend over time in the same place.

  • 03

    Events, sessions and users

    The behavioural layer beneath the sales numbers, so a drop in revenue can be traced to where people actually stopped.

  • 04

    Funnels and goals

    Define what a successful path looks like and measure how many complete it, step by step.

  • 05

    Errors and retention

    Error analysis surfaces what is breaking, retention analysis shows who comes back — the two questions a revenue chart cannot answer.

  • 06

    Ticket KPIs

    Sales figures, status distributions and dashboard metrics give operators the fast read they need day to day.

Specifications

Key facts

Scope
Analytics configuration and evaluation per project
Perspectives
Overview metrics, live view and time series
Behavioural data
Events, sessions and users
Analyses
Funnel, goal, error and retention
Adjacent reporting
Ticket KPIs and a dedicated CrewOps analytics view with CSV export

How it works

Getting to a decision

  1. 01

    Configure analytics

    Set up the per-project analytics configuration and the goals that matter for this shop.

  2. 02

    Watch the live view

    Follow the on-sale as it happens with the live and time-series perspectives.

  3. 03

    Analyse the funnel

    Find the step where buyers stop, and check errors and sessions to understand why.

  4. 04

    Act and re-measure

    Change the campaign, price phase or checkout, then compare the funnel against the previous run.

Use cases

Built for

FAQ

Analytics questions

Ask the team

  • Yes. Each project has its own analytics configuration and evaluations, so several organizers on one platform never see each other's numbers.

  • Yes. Analytics provides both a live perspective and a time-series view, so the current run can be compared against the trend as it happens.

  • Yes. Funnel and goal analysis show how far buyers get and where they stop, and events, sessions and users provide the behavioural detail behind that.

  • Yes. CrewOps has its own analytics view with role and location filters and CSV export, covering fill rate, no-show rate, punctuality, planned versus actual hours and more.

See what your events are really doing

Turn on project analytics and read your next on-sale as it happens.