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Investor Presentation August 2018

Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

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Page 1: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Investor Presentation

August 2018

Page 2: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

This presentation may contain statements which reflect the management’s current

views and estimates and could be construed as forward looking statements.

The future involves certain risks and uncertainties that could cause actual results to

differ materially from the current views being expressed.

Potential risks and uncertainties include such factors as general economic conditions,

foreign exchange fluctuations, competitive product and pricing pressures and

regulatory developments.

Disclaimer

Page 3: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Q1FY19 Results

Company Overview

Financials

Growth Strategy

Management Team

3

Contents

2

4

1

5

Page 4: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Q1 FY19 Financials

4

Matchmaking Services Marriage Services & Related Sale of Products

In ₹ millionMatchmaking + Marriage Services

49 4639

3036

(36) (38)(51) (43)

(31)

(60)

(40)

(20)

0

20

40

Q1 FY2018 Q2 FY2018 Q3 FY2018 Q4 FY2018 Q1 FY2019

Segment Revenue Segment EBITDA

Page 5: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Q1 FY19 Sales

5

In ₹ millionSales – Quarterly Performance

4% Y-o-Y Growth of Sales in Q17% Y-oY Growth of Revenue in Q1

856

814

856

892 893

839 836 837 844

896

600

700

800

900

Q1 FY2018 Q2 FY2018 Q3 FY2018 Q4 FY2018 Q1 FY2019

Sales Revenue

Page 6: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Q1 FY19 Key Metrics

6

Ever Registrations (in mn) Active Profiles (in mn) Free Registrations (in mn)

Paid Subscription (000's) ATV (in Rs) Matchmaking Sales (in Rs mn)

27.6528.51

29.4730.47

31.49

20

22

24

26

28

30

32

34

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

3.083.19

3.293.40

3.53

2.0

2.4

2.8

3.2

3.6

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

0.90 0.870.95

0.99 1.02

0.4

0.6

0.8

1.0

1.2

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

190

177

187192 191

100

125

150

175

200

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

4,242

4,339 4,371

4,489 4,477

3800

4000

4200

4400

4600

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

808

770

822

867 860

650

700

750

800

850

900

Q1FY18 Q2FY18 Q3 FY18 Q4 FY18 Q1 FY19

Page 7: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Company Overview

Page 8: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Matrimony.com at a glance

8

We deliver matchmaking

services to our users in

India and the Indian

diaspora through our

websites, mobile sites and

mobile apps complemented

by our on-the-ground

network in India

#1 Leader for Matchmaking Services 1

2 As on Mar 31 2018

300+Community Matrimony sites

15Regional Matrimony sites

3.40 mnActive Profiles 2

30.47 mnTotal registrations since January 2006

745,000Paid subscriptions in FY2018

INR 3,418 mn

FY18 Revenues (15.2% YoY growth)

1 In terms of average number of website pages viewed by unique visitors in June 2017 as per the Traffic Share Distribution data from April 2014 to June 2017 compiled by Comscore, Inc.

Page 9: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

9

A Unique Proposition

Large Online Matrimony Market Opportunity

Leading Provider of Online Matchmaking Services in India

Micro-Market Strategy with Targeted and Personalized Services

Strong Consumer Brand

Robust Technology and Analytics

Continued Expansion into Marriage Services Segment

Key Business Metrics Drive Revenue Growth & Operating Leverage

Page 10: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

An Early Mover to Online Matchmaking services…..

…. Coupled with a Network effect resulting in a large database of profiles…

A Differentiated Growth Story

10

1 Based on “Market study of Online Matrimony & Marriage Services in India” report by KPMG dated May 4, 2017 ;2 As on June 30 2018

Unmarried Population in 2016 - 107 Mn 1

Active Seekers in 2016

63 Mn 1

Active users of online matrimony in 2016

6 Mn 1

Active Profiles on Matrimony.com

3.5 Mn 2

… Resulting in Market Leadership

Large Database

More

Matches

Attracts

More

UsersMore

Responses

Large Market Opportunity

Page 11: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

11

With a Highly Customised “Micro-Market” Strategy….

Matchmaking Services: 15 Regional Language Portals and Over 300 Community Matrimonial Sites

Model Developed to Cater to Unique Requirements of the Indian Market

• Classic, Classic Advantage and Classic Premium• Till-U-Marry• Assisted Service

• Gold, Blue, Platinum• Till-U-Marry

A range of targeted and customized products and services…..

.…Catering to Customer Needs through a Layered Product Offering

• Gold, Diamond and Platinum• Till-U-Marry• Assisted Service

Page 12: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Mobile

Offline

Website

10.0 million app installs 1

Mobile sites and mobile apps accounts for 2

91% of Profile views

82% of Personalized messages sent and received

83% of the total number of free profiles registered

86% of Express Interest messages

77% of Phone numbers viewed

Source: 1 According to www.androidrank.org as updated on 03 August 2018 ;2 For the month of June 2018

Multi-Channel Customer Outreach…

12

Increasing Mobile Usage

Strong Technology PlatformReliable and Scalable technology with focus on Information security

Big Data & AnalyticsIn-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization of user base

Campaign ManagementIBM Unica systems to improve customer experience and subscriptions

… Backed by Strong

Technology and Analytics Backbone…

Page 13: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Additional Avenues for Growth through Forward Integration..

13

Marriage Services : Complements online matchmaking services to provide organized services in the marriage services market

Provides professional wedding photography and videography services

Launched in Tamil Nadu, Kerala, Andhra Pradesh, Telangana and Karnataka

A wedding classified portal with 50,000+ listings to connect customers with right service provider

A wedding venue discovery platform with 500+ wedding venues

Currently available at Chennai, Coimbatore, Madurai and Trichy , Hyderabad Bangalore and Kochi

A relationship manager helps customer avail wedding-related services and recommends suitable vendors

Currently available in Chennai, Coimbatore, Madurai and Trichy

Page 14: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Strong Consumer Brand

14

Featured in Limca Book of Records for record number of documented marriages online

2015 NASSCOM “Certificate of Excellence for innovative application of analytics for business solution”

Bharatmatrimony.comawarded India’s mosttrusted onlinematrimony brand byBrand Trust ReportIndia Study 2014

Special jury mentionfor gender sensitivity(2013-2014) for TVC(Bharat Matrimony-Career) at NationalLaadli Media andAdvertising Awards,2015

Certified as mostused matrimonialsearch website in2013-14 for Indianonline customersby JUXT

BharatMatrimonymobile app - Best app in the social category. Global Mobile App Summit and Awards -July 2016 and July 2017

Profile authentication features such as “Identity Trust Badge” help in maintaining and continuously improving the quality of database further increasing consumer trust

Page 15: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Financials

Page 16: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

2,073

2,428 2,554

2,929

3,355

6.3% 7.3%

2.8%

20.2%23.2%

0%

5%

10%

15%

20%

25%

30%

0

500

1,000

1,500

2,000

2,500

3,000

3,500

FY14 FY15 FY16 FY17 FY18

Revenue (INR mn) EBITDA Margin (%)

Robust Revenue Growth

16

Matchmaking + Marriage Services

Matchmaking Services Marriage Services & Related Sale of Products

Note: 1. FY14, FY15 FY16, and FY17 Financials as per IGAAP2. CAGR (%): Calculated as [{(Revenue in FY18/Revenue in FY14)^0.25}-1]*100 | 3. Segment EBITDA=Segments Results + Depreciation

In ₹ million

1,9892,320 2,440

2,808

3,191

13.5%

17.1%

14.7%

29.0%

32.7%

0%

5%

10%

15%

20%

25%

30%

35%

0

1,000

2,000

3,000

FY14 FY15 FY16 FY17 FY18

Matchmaking Revenue (INR mn) EBITDA Margin (%)

66

94 108121

164

-122%

-138%-161%

-101%

-103%

-200%

-100%

0%

0

50

100

150

FY14 FY15 FY16 FY17 FY18

Marriage Services Revenue (INR mn) EBITDA Margin (%)

Page 17: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

… Resulting in Operating Leverage

17

Fixed Costs as % of Revenues have started to taper resulting in Margin Expansion

Note: FY13, FY14, FY15, FY16 and FY17 financials as per IGAAP

38.3% 39.3%40.6% 40.2%

39.0%

16.6%15.4%

17.5% 17.2% 17.9%

21.6% 20.6% 21.1%18.9% 19.5%

23.5%

24.6%

20.8%

23.6%23.6%

0%

5%

10%

15%

20%

25%

0%

10%

20%

30%

40%

50%

Q1 FY18 Q2 FY18 Q3 FY18 Q4 FY18 Q1FY19

Employee benefit expenses as % of revenues - LHS

Advertisement and promotion expenses as % of revenues - LHS

Other expenses as % of revenues - LHS

EBITDA Margin (%) - RHS

39.8%42.4%

43.6%

49.0%

39.8% 39.6%

24.5%23.2%

21.9% 21.1%

17.8%16.7%

27.1% 28.1% 27.1% 27.0%

22.2%20.5%

8.6%

6.3%7.3%

2.8%

20.2%23.2%

0%

5%

10%

15%

20%

25%

0%

10%

20%

30%

40%

50%

60%

FY13 FY14 FY15 FY16 FY17 FY18

Employee benefit expenses as % of revenues - LHS

Advertisement and promotion expenses as % of revenues - LHS

Other expenses as % of revenues - LHS

EBITDA Margin (%) - RHS

Page 18: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Operating Cash Flow

18

In ₹ million

201232

205

644

830

151

0

100

200

300

400

500

600

700

800

900

FY14 FY15 FY16 FY17 FY18 3M FY19

Cash from Operating activities after tax and before exceptional items (INR mn)

Page 19: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Profiles:• Fueled by Increasing internet

and smartphone penetration

• Social adoption & Trust

Conversion Rate:• Continuous product

improvements in online &

mobile

• Leverage campaign

management & Analytics

ATV:• Sustained price increase due

to leadership position

• Higher price packages

Increased

Sales

Matchmaking Growth Cycle Our Growth Strategy

Our Growth Strategy

19

Expand User Base

Continue Investmentsin Mobile Platforms

Continue to Expand into Marriage Services

Further Strengthen Brands

Drive Monetization

3

2

4

1

5

Page 20: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Highly Experienced Board of Directors and Management Team

20

Board of Directors

George ZachariasNon-Executive Independent Director

Milind S SarwateNon-Executive Independent Director

Murugavel JanakiramanPromoter, Chairman and Managing Director

Deepa MurugavelNon-Executive Director

Key Managerial and Senior Management Personnel

Sanjeev MisraChief Revenue Officer

Sales and Operations – Matchmaking Business

R ChandrasekarChief Technology Operation and Infrastructure Officer

S. SaichitraChief Portal and Mobile Officer

Murugavel JanakiramanPromoter, Chairman and Managing Director

K BalasubramanianChief Financial Officer

S. VijayanandGeneral Manager-Company Secretary and Compliance

Officer

C K RanganathanNon-Executive Independent Director

J. KarthikHead - Matrimony Bazaar

Akila KrishnakumarNon-Executive Independent Director

Page 21: Investor Presentation€¦ · Big Data & Analytics In-house Intelligent Matchmaking Algorithm (“MIMA”) Data Analytics algorithms to track trends to assist in driving monetization

Investor Contacts

Mr. Vijayanand S

Company Secretary

matrimony.com

No: 94, TVH Beliciaa Towers, Tower 2,

10th Floor, MRC Nagar, Mandaveli,

Chennai - 600 028, Tamil Nadu, India.

Phone: 044-24631500

Email: [email protected]

CIN: U63090TN2001PLC047432