Calculating conversion A/B test of travel application with proportion z-score
- Evaluate the correctness of the test
- Analyze test results
Build a funnel from viewing a ticket search form to buying an airline ticket. The main funnel a user goes through consists of 8 steps:
| № | event_number | event_name |
|---|---|---|
| 1 | step_1 | travel_search_form |
| 2 | step_2 | travel_search_in_progress |
| 3 | step_3 | travel_search_results |
| 4 | step_4 | travel_flight_details |
| 5 | step_5 | travel_tariff_confirmation |
| 6 | step_6 | travel_select_passenger |
| 7 | step_7 | travel_payment_method |
| 8 | step_8 | 1) travel_card_payment_approved, 2) travel_credit_approved |
Test name: last_seats_test
- Groups: A (control), B (last-seats);
- Start date: 2022-07-03;
- Stop date: 2022-07-14;
- Expected number of test participants: 6000.
- Problem: There are users who look at tickets in advance, e.g. 2 weeks before a trip, but postpone the purchase for a couple of days. After a couple of days, the tickets may run out.
- Hypothesis: We hypothesize that adding information about the number of remaining tickets at the current price will increase conversion to purchase by 5% because users will understand the benefit of buying in the current moment.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent