Analytics Strategy & KPIs for Streetcup Spain Pre-registration
β Introduction
Validating a physical sports event like Streetcup Spain requires more than just launching a landing page. It demands a structured approach to measure user interest reliably.
This document defines the core metrics (KPIs), the behavioral events, and the tracking strategy implemented for the Streetcup Spain pre-registration phase. Our goal is to ensure we collect actionable data that proves the market viability of this 1vs1 street football tournament before committing significant capital.
β Challenge
The core challenge was to define how precisely we measure the "success" of an unproven idea, transforming subjective excitement into objective validation data.
On one side:
- We needed to identify which specific user actions indicate true intent to participate.
- Tracking purely vanilla pageviews wouldn't tell us if our registration form is too complicated or if our call-to-actions (CTAs) are effective.
On the other side:
- PostHog needed to be correctly implemented so that internal traffic wouldn't contaminate our data.
- We needed established benchmarks to know if our conversion rates are actually viable or if we're failing to attract our target audience.
β Solution
We designed a tracking framework to capture every critical step of the pre-registration funnel, evaluating everything from initial acquisition to organic virality.
πΊοΈ Full-Funnel Event Tracking
We deployed custom events in PostHog to follow the user journey precisely:
$pageviewserves as the top-of-funnel baseline.cta_preinscription_clickedmeasures when a user shows initial interest.preinscription_submittedacts as our primary success metric (Key Event).contact_form_submittedcaptures other inquiries.
π Form Churn Analysis
Instead of just tracking who signs up, we specifically track the gap between intent and completion:
- Analyze user drop-off: By comparing
cta_preinscription_clickedvs.preinscription_submitted. - Monitor Form Completion Rate: Spotting immediately if the registration process is causing friction.
π Virality and K-Factor
We introduced a share_button_clicked event that triggers when a user shares the event after registering:
- Measure organic growth potential: Allows us to calculate the actual K-Factor.
- Quantify brand hype: Proves the tournament is successfully generating excitement organically among players.
β Business Results
The tracking strategy is fully implemented and mapped against industry-standard benchmarks, giving us a rigid framework to judge the project's success.
Targeted Key Performance Indicators
We established strict targets to evaluate viability:
| KPI | Target | Failure Threshold |
|---|---|---|
| Signup Conversion Rate | β₯ 12% | < 5% = critical failure |
| Form Completion Rate | β₯ 60% | > 40% churn β restructure |
| Virality Rate | β₯ 15% sharing | β |
| Pre-registrations (60 days) | β₯ 60 signups | β |
| Bounce Rate | < 70% | β₯ 70% = messaging issue |
Strategic Dashboards in PostHog
We created specific widgets to monitor real-time performance:
- Main Conversion Funnel:
$pageviewβpreinscription_submitted. - Form Interaction Funnel:
cta_preinscription_clickedβpreinscription_submitted. - Referral Breakdown: Parsing UTM parameters to identify the most effective channels (Instagram, TikTok, Direct).
- Retention Chart: Tracking returning users vs. new users to see if the hype sustains over time (Targeting β₯ 25% returning users).
β» Project Timeline
The creation of the KPI plan was deeply integrated with the event configuration and deployment.
Phase 1 - Metric Definition
Establishing the critical KPIs, mathematical formulas, and business benchmarks required to validate the project.
Phase 2 - Event Mapping
Defining exact trigger points for PostHog (`cta_preinscription_clicked`, `preinscription_submitted`, etc.
Phase 3 - Analytics Implementation
Connecting PostHog and ensuring GDPR compliance via proper Cookie Consent handling and internal IP exclusions.
Phase 4 - Dashboard Creation
Building real-time PostHog dashboards to visualize the funnels and quickly compare performance against targeted benchmarks.

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