Participant statistics and segments

Overview

The participant statistics section is located in Analytics -> Participants. Here you will find the registration funnel, drop-off analysis, audience segmentation, and loyalty metrics.

Registration funnel

The funnel shows the participant's journey from first contact with the form to completed registration:

Funnel stages

1. Views -- how many unique visitors opened the registration form (on any channel: native page, widget, Telegram Mini App).
2. Started filling -- how many of them entered at least one value in a form field.
3. Completed filling -- how many reached the submit button.
4. Registered -- successfully registered (including payment, if the ticket is paid).

Between stages, the conversion rate and drop-off rate are displayed.

Drop-off by form step

If the form is multi-step, the funnel breaks down to individual steps. For each step:

• How many participants reached it
• How many left the form at this step
• Average time to complete the step

This helps find "bottlenecks" -- steps where the most participants are lost -- and optimize them: simplify questions, remove optional fields, change the order.

Segments

Segmentation allows you to split the audience by various attributes and compare group behavior.

By ticket type

How many registrations are attributed to each ticket type (TicketDefinition). Shows the popularity of different participation options.

By promo code

Usage statistics for each promo code:

• Number of uses
• Conversion (how many who applied the promo code completed registration)
• Total discounts

Helps evaluate the effectiveness of promotional campaigns.

By source

Breakdown by form delivery channel:

With UTM tags configured in form links, additional breakdown by utm_source, utm_medium, utm_campaign is available.

By registration date

Registration distribution by days, weeks, or months. Helps visualize the effect of marketing activities.

Cohort retention (Business+)

Cohort retention answers the question: do participants return for your subsequent events?

How it works

1. Participants are grouped by the month of their first event (cohort).
2. For each cohort, it tracks how many participants registered for events in subsequent months.
3. The result is displayed as a retention table (heatmap), where rows are cohorts and columns are months after the first event.

Reading example

The "January" cohort: out of 120 initial participants, 35% attended an event in February, 28% in March.

Why this is useful

• Measure audience loyalty
• Compare retention between event types
• Evaluate the effect of loyalty programs or follow-up broadcasts

NPS surveys (Pro+)

Net Promoter Score -- a standard loyalty metric.

How it works in tikento

1. After the event ends (transition to completed status), participants are sent an email asking: "On a scale of 0 to 10, how likely are you to recommend this event?"
2. Responses are automatically classified:
   • 9-10 -- promoters
   • 7-8 -- passives
   • 0-6 -- detractors
3. NPS = % promoters - % detractors (from -100 to +100).

Where to view

Section Analytics -> Participants -> NPS. For each event:

• Overall NPS score
• Response distribution (promoters / passives / detractors)
• NPS trend across events (if you run a series)
• Text comments from participants (if the additional field is enabled)

Configuration

The NPS survey is enabled in event settings: Event -> Notifications -> NPS survey after event. You can:

• Enable/disable automatic sending
• Set the sending delay (e.g., 2 hours after the event ends)
• Add a field for text comments

Availability by plan

What's next

• Dashboard: metrics and KPIs -- overview of key metrics.
• Revenue charts -- detailed revenue analysis.
• Data export -- export all data to CSV, XLSX, JSON.