Redbud | Case Study

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REDBUS CASE STUDY Name: Mithvin Kousthub C M | Email Address: mithvinkous@gmail.com Question 1 Identify at least 3 key metrics for RedBus that you, as a Growth PM, would monitor actively to improve its transactional funnel? Also, provide relevant reasons for considering these metrics. (Instructions: Review their app and website thoroughly to be able to come up with relevant metrics.)

Response

ABV – Average Booking Value: This metric will help to understand the average booking value to compare and make the necessary decision like destination wise pricing, inducing a minimum of 2 travellers based on the destination, discounts on the next tour etc.

Conversion Rate: Onboarding > Search Results > Filter > Seat Selection > Booking Confirmation. This metric will help to reduce drop-offs and make the necessary changes which will lead to an increase in the booking.

RCR – Repeat Customer Rate: This metric is paramount to increase the repeat bookings by sending the notifications, customized coupons and building repo with existing customers.

Question 2 Which of the 3 user segments could be the most valuable for achieving your business objective? Explain your reasons behind selecting these segments. (Instructions: Explore the behavioural, demographic and technical segmentation categories, which you learnt about earlier)

Response

Demographics: Age between 18 - 35 living in Tier 1, Tier 2 & 3 cities. Working migrants within an income range that may not permit frequent air travel.

Psychographic: Working migrants, Tech-savvy users who log in to multiple devices. Frequent travellers (Once or Twice a Month) Travellers who book only when an offer is available.

Behavioural: Travellers who prefer to buy tickets offline but not online or Firsttime bookers. Travellers with an average booking value above Rs.1000. Solo travellers and multi-seat booking customers.

Benefit: Travellers who book for last-minute deals. Travel agents or tour planners. Travellers who add insurance while transacting.

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