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Your Ticket Search Ends Here

1Part of

Confirmtkt is building a door to door multimodal travel search engine focused on providing seamless discovery and booking experience

Best Route : Best route which can save time & money

Personalized options : Personalized options across modes of transport considering price, duration & comfort

Predicts Train Ticket confirmations: Prediction confirmation chances incase of waitlisted train tickets

Seamless Payment : Book complete itinerary in one shot with a single payment

Confirmtkt is disrupting the way people plan & book their train.

“Seamless Door to Door Travel”

2

Bangalore Vizag Kolkata Starts 8 am Reaches 8 pm

Taxi 60 mins

Train1 hrs

Train12 hrs

Taxi 45 mins

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

Bringing together search and booking experiences

.. Differentiator in highly competitive travel industry

Confirmtkt creates unique value to the travelers by bringing together the power of meta search and booking engine

Meta Search Online Ticket BookingSeamless (Search + Booking)

Confirmtkt`s differentiated winning strategy

Proven global comparables

3

Business Overview Business Model Market overviewFuture Expansion &

GrowthInvestmen HighlightsCorporate Team

.. Product with built-in defensibility

Confirmtkt product has built in defensibility which would automatically act a barrier for any new entrant.

New Entrants

& Existing players

Predictions powered by 4 years of historicalticketing trends which are not freely available

Patent Pending algorithmwhich powers multimodal travel search

Trusted brand for train travelers(70% share in Indian travel market)

4

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

.. Solving massively complex problems

-In India, getting a train ticket is almost close to impossible.Travelers would end up in last minute hassle /cancel their trips

5Source : Wikipedia & company data

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

Travel by multiple modes Multiple Payments

“Waitlisted train tickets ”

Only 4% of the routes are directly connected –people take up multiple modes to reach their destination And book across multiple travel portals.

“Tedious ticket search & booking process”

300 Mn +on waitlist / yr

750 Mn + Tickets booked

on trains / yr

130 MnCancel trips due to

unconfirmed tickets / yr

..Need of the hour product features with intuitive interface Searches Discovers Books

Best route to travel

Personalized Options

Predicts the availability

1 Tap

Single Payment

Predicts

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

6

..Resulting in high user acceptance and strong metrics

87%

2.2Mn+ Monthly active users Travel searches/month

Sessions by repeat users

Total mobile app downloads

1.5Mn 10Mn+

Installs via referrals & organic channels

97% 27%3 Month retention(18% industry wide retention)

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

7Source : Company Data

.. Tremendous growth in user base

2XGrowth in Mobile MAU(Last 4 quarters)

60% Traffic is from mobile.(Avg.)

4XGrowth in total MAU(Last 4 quarters)

Organic Search44%

Direct41%

Social8%

Affiliates4%

Referral3%

Paid Search0%

85% ORGANIC & DIRECT TRAFFIC

30.5 32.447.9

36.0

69.5 67.652.1

64.0

Q4 FY 2015-2016

Q1 FY 2016-2017

Q2 FY 2016-2017

Q3 FY 2016-2017

WEB VS MOBILE

Web % Mobile %

85% Organic & Direct Traffic

236701 237659 256213280067

305138 309800 293705326028

356946

509798 544533

450150430769

383573404546438445

516354 509352 500130548418

Jan-16 Feb-16 Mar-16 Apr-16 May-16

Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17

Jun-17 Jul-17 Au 2017

MONTHLY ACTIVE USERS - MOBILE

8Source : Company Data

Android app was featured on play store

Peak travel season

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

.. and high engagement

97%

3%

REPEAT USAGE

0 5000000 10000000 15000000

12345678

9-1415-2526-50

51-100101-…201+

LOYALTYSession Instances

High Loyalty High usage from userswho did 200+ sessions

instances

High Repeat 97% sessions by

repeat users

49

34.6527.2

MONTH 1 MONTH 2 MONTH 3

USER COHORTS

18

24

36

0 10 20 30 40

MONTH 3

MONTH 2

MONTH 1

AVERAGE INDUSTRY RETENTIONS

High RetentionsUser base retentions better than

industry standards

Repeat Users

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

9

Source : Localytics Report

Source : Company Data

.. Turns into a huge USD 21.7 Bn market opportunity

83.6 %

16.4%

23 %

8%

36 %

64 %

10

$7.1Bn

$4.0Bn

$9.9Bn

$0.7Bn+

$7.8Bn

+

+

Bus

Flight

Car

= $21.7Bn

Need of hour product with strong defensibility

Rapidly growing &engaging user base

Lowestcustomer acquisition costs

Lean Tech driven model withZero operational load

Profitable business with Focus on unit economics

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

Source : Make my trip Investor Presentation & Wikipedia

Rail

+

(Future expansion opportunity)

Hotels

Product & business adoption

Train PNR Prediction Platform

Expanding the scope of services

D2D search with seamless payment

Established foot print with problem solving features

Train W/L predictions

Alternative travel options across trains, buses and flights.

Built a multimodal search engine, expanding the scope of services across buses, intercity cabs,flights & Intra city travel Train bookings with

Ezeego1

Seamless Bus booking with Redbus

Intercity Cab Booking

Launch seamless bookings across platforms

Completing the booking on the platform by aggregation and consuming the inventory of other OTA`s

Organic Search

44%Direct41%

Social8%

Affiliates4%

Referral3%

Paid Search0%

Strong Brand Recognition

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

11

Business model

Travel Tickets

Food

Target Ads :• Contextual native ads based on search

and user profile• Payout based on CPM & CPC models

Prediction API Monetization :• Currently we power Train waitist

predictions for Goibibo,Makemytrip, Paytm & Haptik

Primary Line of Business : Travel Ticketing:

Completing the door to door travel bookings on platform with trains, buses, cabs & flights

Commissions ranging from 2% to 6 % of transaction value

A typical travelers spend

Taxi/cabs

Holiday Packages

Flights

Food on Train

Bus Ticket`sTrain ticket`s

Intercity Taxi`s

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

12

Hotels

Intra city cab`s

Food on Train :• Food bookings live with Travelkhana .• Flat commission of 10% on transaction

value

Secondary Line of Business :

.. Number speak about our user acceptance

18% Repeat Bookings

4.5XGrowth in bookings(Last 1 quarters)

Repeat Bookings18%

82%

18 % - REPEAT BOOKINGS

697

13371501

16021725

2300

Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17

BUS BOOKINGS- MONTHLY

13Source : Company Data

Introduced seamless Payments

Business Overview Business Model Market overviewFuture Expansion &

GrowthInvestment HighlightsCorporate Team

1050Avg Transaction Value

Competition

High relevance

(Multimodal Search)

Low relevance

(Multimodal Search)

High India Focus

Low India Focus

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

14

Competitive advantages

Tailor Made for India

First to Market

High Mobile Presence

Strong Brand Reco

Pioneers in introducing Train W/L predictions & alternate travel options in trains

Highly engaging and active mobile user base across android, windows , IOS & Tizen (Beta)

Multimodal search tailor made for Indian users with valuable trains insights and info - keeps global players away

Strong Brand recognition .Trusted & accepted by Indian users with 41% direct users

Powered by the 4 years past data and growing. The future products would be driven by the data

Powered by Data

Patented Algorithm

Powered by patent pending algorithm which discovers the best ticketing options available

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

15

Creating complete travel experience

Confirmtkt would be a single app which would give a complete travel experience from the step.

Trip Planning : Door to Door multimodal travel Search

Trip Research : Price comparisons, accommodations & places info

Trip Booking : Seamless booking experience with a single payment

On trip Experience : Pushing right info at the right time (places to visit, things to do etc.)

Trip Management : Tracking reservations , trip status, cancellations , refunds etc .

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

16

Travel data Analytics & Personalized travel

Big data based system to help Airlines and travel operators Predict the demand Personalize the itineraries Optimize the pricing Optimize the revenue Route planning Plan marketing initiatives based

on demand User Purchase trends And many more

Confirmtkt travel insights would help Airlines and Travel operators to make meaningful and crucial decisions powered by big data and machine learning .

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

17

Team

Strong team of 10 members comprises of developers ,data scientists and growth hackers

Founding Team:

Sripad Vaidya,COOEx-IBMer@Analytics & operations

Dinesh Kumar Kotha, CEONitian & Ex-IBMer

@Product dev & strategy.

Board Members:

Pravin AgarwalaEx-SVP of SAP India &CEO – Better place safety solutions

Anirudh DamaniLeading angel investor & Partner at Artha Venture partners

Strategic Investor:

Urrshila KerkarExecutive Director Cox & Kings

Mentors & Other investors :

Mitesh ShahCFO,Bookmyshow& Ex-CFO Ola Cabs

Sanjay MehtaLeading Angel investor Director Core Media

Business Overview Business Model Market overviewFuture Expansion &

GrowthCorporate Team

18

Incubators & accelerators:

Journey so far

June`12 July`14 Oct`14 Dec`14 Apr`15 Feb’16 June`16 Oct`16 Dec`16 June`17 Sep`17

Website-Beta

Launch

Website-Beta

Launch

50K Android

App downloads

50K Android

App downloads

Android App Beta

Launch

Android App Beta

Launch

Mobile Website Launch

Mobile Website Launch

Windows App

Launch

Windows App

Launch

100 k Android

App Downloads

100 k Android

App Downloads

25K Monthly mobile active users

25K Monthly mobile active users

500 k Android

App Downloads

500 k Android

App Downloads

Multimodal Search Launch

Multimodal Search Launch

Tizen AppLaunch

Tizen AppLaunch

1 MnAndroid

App Downloads

1 MnAndroid

App Downloads

Started gathering historical

info of trains

Started gathering historical

info of trains

Business Overview Business Model Market overviewFuture Expansion &

GrowthInvestment HighlightsCorporate Team

19

1.5 MnApp

Downloads

1.5 MnApp

Downloads

Android App

featured on App store

Android App

featured on App store

Bus & Train

Bookings launch

Bus & Train

Bookings launch

IOS AppLaunchIOS AppLaunch

2 MnApp

Downloads

2 MnApp

Downloads

Intercity Cab

Bookings

Intercity Cab

Bookings

Food Cab BookingsFood Cab Bookings

Sripad Vaidya,COOE: [email protected]: +91 810-681-4513

Dinesh Kumar Kotha, CEOE: [email protected]: +91 984-417-7862

Contact us

Thank you!

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