UX funnels and conversions

1) Why UX funnels

A UX funnel is a sequence of steps that leads the user to value: registration, game launch, deposit, participation in a tournament, profile setting, etc. The funnel makes visible attention "leaks" and obstacles. The goal is to reduce friction and accelerate the path to value (TTV) while maintaining a clear visual hierarchy and a single P1 accent on the screen.

2) Funnel types (by level)

Global (end-to-end): First visit → Activation → Retention → Monetization.
Page: Landing → Catalog → Game Page → Box Office.
Process (flow funnels): Registration/CCL, Deposit/Withdrawal, Joining a tournament, Setting limits.
Micro conversions: Add to favorites, View rules, Apply filter, Compare payment methods.

3) Event map (data layer minimum)

session_id, user_bucket (A/B), device, page funnel_step(name, step, status: start/success/fail, meta)
ui_click(zone, component_id, outcome)
ui_error(type, code, field, step)
route_change(from, to)
visibility(zone, time_in_view)
experiment_variant

Stable selectors: 'data-ux-zone', 'data-component-id' (not CSS classes).
Hygiene: no PII, masking of fields, explicit consent to tracking.

4) Basic formulas and step metrics

Step Conversion_i = moved to step i + 1/started step i.
Funnel Conversion = reached the final/started step 1.
Drop-off_i = 1 − Step Conversion_i.
Time on Step_i = median time in step.
TTV (Time to Value) = t (value) − t (input).
Backtrack Rate = returns to the previous step/all transitions within the flow.
Error Rate_i = the error events in/that started the step.
FMC (First Meaningful Click) = target click ≤ N seconds/all on screen.

Rule: each step has one main goal and one P1-CTA.

5) Segmentation (to see the real picture)

Device: mobile vs desktop (different patterns, hit-area, keyboard).
User Stage: New, Returning, VIP.
Traffic source: organic, paid, referral; expect different expectations/motivations.
Geo/localization: Language affects length of strings/method lists.
Experiment: A/B branch and "before/after" release window.

6) Funnel design: algorithm

1. Formulate a goal (one sentence).
2. Describe the steps (minimum sufficient).
3. Assign P1 at each step (the rest is P2/P3).
4. Write down the events (start/success/fail) and errors.
5. Set the threshold KPIs (Step Conversion, TTV, Error).
6. Connect dashboards and heat cards/records for diagnostics.
7. Plan iterations and A/B.

7) Loss diagnostics (patterns and solutions)

High Drop-off on the first screen: P1 is not visible/weak → enhance contrast/scale, remove competing banners.
A lot of Backtrack at the step of forms: microcopy/validation is incomprehensible → examples, masks, inline hints, visible errors.
Long Time on Step: field congestion → grouping, progress bar, autosave, sub-process partitioning.
Error Rate surge "after release": regression or API failures → error map + fast rollback/fix.
The gap between clicks and the ending: "false clicks," non-interactive zones → expand the hit-area, correct affordance.
Shifting attention to banners: heat card is "hotter" than banner than P1 → weaken animations/saturation, move P1.

8) iGaming funnels: ready-made templates

8. 1 Registration/Onboarding

1. Landing → 2. Registration form → 3. Confirmation (email/SMS) → 4. Profile/ASC start.
KPI: Funnel Conversion ≥ 65-75%, TTV until completion ≤ 2-4 min, Error Rate form <5-8%.
Tricks: one-tap login providers, progress bar, explicit password requirements, example format.

8. 2 Search and launch the game

1. Directory/Search → 2. Filters/Tags → 3. Game card → 4. "Play Now."

KPI: FMC "Play" ≥ 35-50% in 5-8 seconds, TTV before the first launch ≤ 30-60 seconds.
Tricks: quick presets ("New," "Hit," "Megaways"), default in popularity, the whole card is clickable.

8. 3 Cash desk: deposit

1. Open cash desk → 2. Method selection → 3. Sum/details → 4. Confirmation of → 5. Success.
KPI: Step Conversion by method selection ≥ 85-90%, overall Success ≥ 75-85%, Error Rate of form <5%.
Tricks: presets of amounts, clear limits/commissions next to the field, sticky confirmation, saved methods.

8. 4 Bonus/Tournament

1. View promotion → 2. Rules (briefly) → 3. Join → 4. Verification of participation.
KPI: CTR "Join" ≥ 18-25%, Drop-off on rules <20%.
Stunts: Short TL; DR rules + "unfold parts," visible deadline/timer.

9) Visualization and dashboards

• Funnel Overview: Step Conversion/Drop-off/Time by step (7/28 days).
• Anomaly Watch: Error Rate/Backtrack bursts with alerts.
• Segment Split: Device/Source/Geo/Branch A/B.
• TTV Tracker: median/quantiles on key targets.
• Outcome-aware Heatmaps: clicks + outcome (success/fail/none).
• Release Compare: "before/after" by conversions and time in step.

10) Causality and experiments

• "If you take out P1 "Play" above the crease line and increase the hit-area by 20%, then FMC will increase by 8-12 pp, TTV will decrease by 15-25%."
• Power analysis: evaluate the required traffic and MDE (minimum detectable effect).
• Single period and guard metrics (errors/time/pull into support).
• Holdout: if A/B is not possible - "before/after" window with test screens.

11) A combination of UX funnels with business goals

Journey to First Deposit: TTV to deposit + Step Conversion box office → NDU and revenue.
Game Discovery Efficiency: FMC "Play" + Success search/filters → session and hold.
Bonus Clarity: CTR "Join" + Drop-off on rules → impact on ARPPU and churn from frustration.
KYC Friction: Error/Backtrack on confirmation steps → output speed and NPS.

12) Frequent errors (anti-patterns)

Consider "time on the site" as success without being tied to the goal of the step.
Mix mobile/desktop in one report.
There are no fail events → it is impossible to understand where and why they fall.
Many P1 elements on the screen → scatter attention.
Solutions for "beautiful heat maps" without outcome metrics (Success/Fail).
Lack of masking/consent → compliance risks.

13) Prioritization of funnel tasks (template)

Problem: Drop-off 38% on "Method Choice" at the checkout.
Hypothesis: The method is hidden under the tab; fees/limits are not visible.
Solution: Make top methods visible list, next to - limits/commissions, auto-selection of the last method.
Expected effect: Step Conversion + 10-15 pp, TTV step − 20%.
Acceptance criteria are metric thresholds, A/B and before/after checks.

14) Acceptance Criteria for UX funnel launch

One main funnel KPI and step thresholds have been identified.
At each step - the only P1 visible without unnecessary action.
Start/success/fail events are raised and checked for staging.
Dashboard collects Step Conversion, Drop-off, Time, Error/Backtrack.
Segments configured (device/source/branch A/B).
There is an A/B plan or before/after control and guard metrics.
Heat maps and records are connected to diagnose the causes.

15) Mini cheat sheet for the team (TL; DR)

Describe the path to value in the form of a short funnel, assign one P1 per step, log start/success/fail and time, break down reports by segment and confirm changes by experiments. Any "leak" must turn into a task with a measurable effect. Iterations → a steady increase in conversion every week.