2. There is more relevant data available “out there” than we realize and this is only
going to increase. Bring special focus on digital space
Use internal and existing research data more, more often it is not required to
collect fresh data
Spend more time analyzing and insighting and not stick to 65:25:10 process
allocation (65% time spent on “information collection & collation”, 25% time spent
on “managing the information” and only about 10% time is spent on “analyzing &
discovering insight to take decisions”)
Know the questions – only the right questions can lead to any meaningful analysis
and insighting. Spend more time with the client team – not all insights come from
data
Statistics / analytics can really help making sense of the available data – apply
wisely
Time is of essence – Not everything requires weeks to turn around
2
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Guiding Principles
5. Formally started in August 2005. A pioneer in conducting highly robust
large scale syndicated ‘online’ as well as ‘face-to-face’ studies in India
Plan to conduct surveys also through mobile phones by end of this
year
A frontrunner in syndicated research products in India:
Well accepted syndicated studies in the Indian online space
‘India Online’, ‘NRI Online’, Online Brand Tracks’, ‘Website User
Friendliness’
Building a portfolio of syndicated studies in Indian consumer space
‘India Mobile’, ‘Indian Urbanites’, ‘Indian Families’, ‘Indian Women’,
‘Indian Generations’, ‘Indian Affluents’
5
Confidential
Leading digital research in India!
6. Syndicated data products for faster insight
India Online, NRI Online
Customized primary quantitative market research insight solutions
Proprietary research methodologies to add value to marketing
decisions
Brand Momentux™ Brand Tracks, AdConnect™ Advertising
Effectiveness Model
Website audit, web development & web effectiveness studies
Website Audit, WebConnect™ Website User Friendliness Study,
Usability Studies
Confidential
Primary Survey Based Solutions
6
7. Use the ‘new age’ mediums (internet and mobile phones) to
conduct all kinds of primary consumer market research
Experience of conducting large scale robust fieldwork for Mobile,
Internet and Mobile Internet users estimate (110 city 216+ village 2
stage random sampling based face-to-face enumeration will be
over in AMJ quarter)
The largest consumer panel in the country – to support own
syndicated studies, also market the panel for ‘custom’ studies
7 million+ supplementary ‘access panel’ with associate partners (India
Research Panel)
Working on securing access to 20million plus consumers online
Building capabilities to conduct multilingual online surveys
Will be launching a “mobile survey platform” along with a stealth
technology start up during JAS quarter
Right from survey programming, targeting, back check and
reporting abilityConfidential
Primary Survey Based Solutions
7
8. Products & time series data
On Internet users & behaviour (India Online, 2005-12) (example )
On Internet using NRIs/PIOs (NRI Online, 2006-12)
On Indian mobile users estimation & profile (2009-12)
Lifestyle of Indian Consumers (2009-10)
Indian consumers profile (India Consumer Landscape, 2005-2012)
Proprietary copyrighted/trademarked methodologies like:
Brand Track Model
Ad Track Model
Customer Satisfaction Model
Website user-friendliness Measurement Model
Learning & data about internet activities/categories from series of
customized assignments
One of the most robust dataset on non-travel ecommerce category
(2006-12)
Confidential
Juxt’s Research Products & Methods
8
9. Helps identify business/investment
opportunities through syndicated and
subscription-based products
Brings down time & cost of exploratory
research drastically by combining expertise,
business research & secondary research
Helps in identifying the right focus before
designing consumer research
Helps in thought leadership marketing by
creating customized white papers/articles as
well as forums on new/emerging areas
In the pipeline: data products on digital
economy indicators
Confidential
Secondary and Business Research Services
9
10. Mrutyunjay
Mrutyunjay brings in more than 15 years of experience in the market research and
technology space. As a co-founder at Juxt he largely takes care of the new product
development, operations & business development. He and his team continuously strive to
develop & implement ‘imaginative’, ‘original’, ‘credible’ and ‘transparent’ research work
to sustain & grow the 'new age market research company'. He is also involved in other
interesting initiatives around Analytics, Digital Marketing, Skill Development and currently
serves as founding member of Center for Marketing in Emerging Economies at IIM,
Lucknow.
Prior to Juxt, he worked with leading companies like IMRB International, IDC India,
Convergys India Services, and Annik Systems (Quatro) and started his career with a Rural
Development NGO (ASHA).
At various points of his career he has led consumer research, strategic business
researches, quality studies (CI/ Six Sigma), usability studies and change management
projects. He has considerable exposure to market research projects from varied industries
- TMT, BFSI, FMCG, Pharma, Consultancy Services, Government and Public Administration.
He also has functional consulting experience in implementing dashboards and reporting
solutions in ERP environment.
10
Confidential
Key People
11. Shyamanuja
A BE in computer science & engineering with post graduation in journalism, Shyamanuja
has been analyzing the technology business and the impact of technology on business for
close to 19 years. Known for his ability to accurately forecast new opportunities and
trends, he was the first to identify and unequivocally predict opportunities such as the
rise of offshore BPO, outsourced engineering services, and Indian e-commerce market, and
many others. He is also credited with estimating and analyzing a number of ICT market
segments for the first time.
Befor joining Juxt, he was the editor of Dataquest, India's most well-known IT magazine.
Prior to that, he served in different editorial positions. He has served as advisor and jury
members in many government committes and industry bodies. He frequently speaks at
industry forums and media as an independent commentator on issues and opportunities in
Internet/digital business, ICT in public services, enterprise IT, corporate sustainability
effforts, and the Indian IT and offshore outsourcing industries.
He writes two blogs—ShyamanujaOne (shyamanuja.in) on areas of professional interest
and Nothing To Declare (nothingtodeclare.in) on art, music and literature. He can be
reached on Twitter at @shyamanuja.
Confidential
Key People
11
13. Take the time to deeply understand
client issues and build on prior
learning
Deliverables are appropriately
focused on critical information gaps
while our recommendations help
guide the decision making process
forward
Team understands that deep market
and customer insights alone are not
enough to drive decision making. Our
experience allows us to shape
presentations and communication in
a way that will facilitate discussion,
alignment, decision making.
Confidential
Higher order statistics based data analytics
What’s the best that can happen?
What will happen next?
What if these trends continue?
Why is this happening?
How many, how often, where?
What are the segments?
What do they like and will buy?
What works for me?
CompetitiveAdvantage
Reporting
Decision Optimization
Predictive Analytics
Forecasting
Statistical models
Market research
Risk
modeling /
Survival
analysis
Hierarchical
growth
models
Conjoint
based
models
Structural
equation
modeling
CHAID
analysis
Latent
Class
Modeling
13
14. Kartik
Kartik manages overall business, client accounts and deliverables at Smart
Mandate. Kartik has spent over 15 years in the MR industry. He started off as a
quantitative researcher with MARG (currently AC Nielsen) and before his entry
into entrepreneurship was responsible for setting up a full service branch for
the Hansa Research Group (New Delhi), servicing both Indian and international
clients. Kartik is an engineer and an MBA from Pune University.
Vivek
Vivek manages analytics learning and deployment within Smart Mandate.
Exploring new methodologies, techniques and application of existing
techniques is his forte. Vivek has over 14 years in MR, analytics and
advertising, of which a substantial part has been spent in R&D to improve the
deliverables from longitudinal consumer data by evolving new methods of
analysis and mining the data for actionable marketing guidelines. He has
served as a consultant to the different TNS (erstwhile NFO) branches within
India and the SEA region in this capacity. His stint with the business intelligence
division of TNS convinced him of his current vocation. Vivek is a post graduate
in Management and an Economics major.
Confidential
Key People
14
15. Consumers are expressing themselves actively online.
These ‘conversations’ reflect emotions about brands,
trends, social, cultural and political affairs. With
insightful consumer analytics, we help you understand
your consumers better, which in turn helps you engage
better with them, create new products for them and
empower them to further your cause. Such research can
also be used to engage and empower your employees.
Our source of information is always user generated
online content. We do not solicit responses through
questionnaires.
Our Work: Lenovo (Globally) for Product Feedback and
Video Consumption, GE Capital (Engagement
Measurement), Avaya and KFC (Perception Audit).
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Social Listening Based Solutions
15
16. Deepak
Deepak sees the web bringing transparency to companies, reorganizing their
business and making them talk in a different tone. In 2008, he started Drizzlin,
a communications firm to enable just all of this. Drizzlin works in three areas
of employees, customers and society and brings solutions across online brand
insights and customer engagement. Drizzlin today operates from India and The
UK and has worked with clients like Lenovo, Max Life Insurance, ICICI Bank, GE
Money and HP India amongst others. Deepak has previously worked in the
Digital Marketing and PR domain. He is a Masters in International Management
from Strathclyde University, UK.
Robin
A keen observer, Robin has been instrumental in setting up a robust practice for
our Research division. His analytical understanding of business needs on social
web lends a value-driven approach to Drizzlin's service offerings. His work in
the research space includes setting up the Product Feedback practice for
Lenovo (globally), Industry specific researches for the Airline and Telecom
industries, Perception audits for various brands including Avaya and Fastrack
and understanding consumption patterns on videos for Lenovo. Robin is an MBA
from IMT and works in the capacity of Head- research at Drizzlin along with
being one of the company's partners.
Confidential
Key People
16
18. Secondary research
Syndicated Research Products
Predictive modeling
Online Research
Mobile Surveys
Insighting – getting more
From existing research data Marketing sciences
Listening /
Observation research
Custom research
Engagement indices
Complete Solution
18
Confidential Note: Drizzlin & SmartMandate are strategic partners of Juxt
25. ONE OF THE SUCCESSFUL FLAGSHIP
PRODUCT
India Online Landscape
26. Confidential
Juxt India Online Landscape
Overall Internet User
Level Dataset
All Internet Users – Demographics,
Psychographics, Internet Usage, Media Usage
India Online Universe
Online Verticals
Datasets
Generic Portals
Online Shopping
Job Search Matrimony
Social Networking
Emailing
Online News
Online Sports Content
Financial Info Search
Non-travel products
Online Share Trading
Net Telephony
Online Games
Online Music
Online Real Estate
Mobile Content Download
Professional Networking
Cricket,
Other Sports
Picture Sharing
Download Videos
Download Movies
Search Engine - English
Search Location/Maps
Book Movie Tickets
Astrology
Online Travel
Car & 2-wheeler owning net users
Auto Owners Online
Social media users on the net
Online Lingua
Investors Online
Consumer Segment
Datasets
Youth Online 13-24 year old internet users
Women Online Women internet users
Urbanites Online Net users by their SEC profile
Online Socialites
Students on the net
Rendezvous Online Net users by place of access
Speed Online Net users by type of connection
Online City Line Net users by town classes
CC Online Credit card owners as net users
Techie Online IT Professionals on the net
Students Online
Net users as financial investors
Vernacular language net users
Corporate employees on the net
Corporate Online
Mobile & Online
Net users using internet on mobile phones
26
27. Size Estimates of Internet Users in India
(All India, Urban/Rural, By States, By City Class/Village Class, Top 25 urban districts)
Total internet using households, No. of internet users per household, Total Internet using
individuals
Regular internet users (at least once a month) versus occasional internet users
Users accessing internet from only mobile, only computers, both mobile and computers
Geographics of Internet Users
Region, State, Urban/Rural area, City Type/Village Type, Top individual urban district
Personal Demographics of Internet Users
Gender, Age, Weight, Height, Marital Status, Generational classification by age, Status in
the household (CWE or other earning member or dependent member of the household)
Occupation, Individual Income classification (if earning), Education, Medium of
education, Preferred language of reading
Personal Psychographics of Internet Users
Current Priorities & Aspirations: Most important priorities in life currently, Parameter
that defines ‘status in the society’ for them
Current & Pastimes: Current hobbies and interests, Favorite indoor and outdoor
activities/pastimes,
Confidential
India Online Landscape Dataset
(Information Coverage)
27
28. Personal likes & preferences: kind of music listen to, kind of movies like to watch, favorite sports, food and
clothing
Other entertainment/outing activities undertaken regularly, Current living celebrity look up to
Personal Consumption Lifestyle Orientation
Enthusiasm towards shopping
Factors give preference to when deciding place of buying
Attributes give importance to most when buying products and services
Personal Consumption Preferences
Whether use/avail of the following products and services, along with brand used:
Banking & financial services - saving bank account, life insurance, medical insurance, owns a credit card with
card type owned, whether owns a Demat account and invests in financial instruments
Processed foods & beverages - Milk additives, Namkeens, Potato chips, Jam, Noodles, Pasta, Corn Flakes/Oats,
Frozen Vegetables, Frozen Meat Products, Ketchup/Sauce, Packaged Cakes, Biscuits, Chocolates ,
Toffees/Candies, Mouth Fresheners, Chewing gums, Coffee, Tea, Soft Drinks, Fruit drinks, Fruit Juice, Bottled
water, Squashes/Concentrates
Personal care products – Soap bars, Shower gel/Body wash, Shampoo, Hair conditioner, Hair oil, Hair gel, Hair
color, Face cream, Fairness cream, Moisturizer/Body lotion, Talcum powder, Deodorant, Perfume, Face wash,
Face cleansers, Toothpaste/powder, Tooth brush, Mouthwash, Hand-wash liquid soap, Hand sanitizer gel, Toilet
paper
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India Online Landscape Dataset
(Information Coverage)
28
29. Wearables - Jewelry, Watch, Readymade Shirts, T-shirts, Readymade Trousers, Jeans, Readymade suit,
Shoe, Innerwear
Travel services - whether availed of any in last 3 months – air travel, train travel, bus travel, hotel
stay, holiday package
Whether in next 6 months likely to finish education, change job, get married, or expect a birth in the
house
Whether order Pizza for home delivery
Personal Mobile Usage Behavior
Whether uses a mobile phone, No. of connections/SIMs used, Whether has landline phone at home
For most used connection – type of connection technology, plan type (pre-paid/post-paid), Service
provider name, Services subscribed to, Handset brand, Price of handset and features present on this
most used handset
Personal Media Usage
Whether use TV (including genre of channels watched), Whether use Radio, Newspaper and Magazines
Daily duration of usage during weekdays and weekend for each of the media used
Most watched TV channels by genre of channels, most read newspaper and magazines, most listened to
radio channel
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India Online Landscape Dataset
(Information Coverage)
29
30. Household’s Socio-Economic Profile
Family classification by lifecycle stage, Family size
Highest occupation and education level in the household, Neo-SEC Classification, CWE
Occupation, CWE Education, Conventional SEC classification
Monthly Household Income (MHI), No. of earning members in the family, Average per capita
household income,
Ownership status and size (carpet area) of house living in
Durables and Kitchen wear owned in the household - House, Car, Motorcycle, Scooter, Bicycle,
B/W TV, Color TV, Home theater, TV Connection, Fridge, Washing Machine, Air Conditioner,
Microwave, Music system, Portable music player, VCD/DVD player, Regular Camera, Digital
Camera, Video Camera, PC/Laptop, Video Game Player, Inverter/UPS, Electric iron, Geyser,
Water purifier, Food processor, Toaster, Sandwich maker, Electric chimney
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India Online Landscape Dataset
(Information Coverage)
30
31. Net usage status and dynamics
Years of experience in using the net, Place of access (home, place of work, cyber café, transit, choupal/gram
panchayat)
Net usage details by the most preferred place of access – frequency of usage, duration of usage, speed of
connection
Online (and offline) marketing stimulus responded to (banner ads, search ads, virals, contest, e-mailers,
newsletters)
Popular languages of internet usage, most used websites for each of these languages
Social Media & Blogging - proportion of internet users reading, commenting and owning blogs, review products,
use twitter, upload content online, etc.
Whether uses internet on mobile phone, type of access (WAP, Pre-installed applications, Browse directly, Push
mail), internet activities undertaken on the mobile phone, reasons for not using internet on mobile where
applicable
Online shopping behavior (Only in ‘Online Travel’ and ‘Online Shopping’ Dataset)
Penetration of online shoppers (only search) and buyers (search and buy), Reasons for not buying online where
applicable
Travel products bought and searched in last 1 year, search-to-buy ratios, frequency of buying, average monthly
spends
Non-travel products bought and searched in last 1 year, search-to-buy ratios, frequency of buying, average
monthly spends
Online payment modes used
Motivations of buying online and problems faced while buying online
Confidential
India Online Landscape Dataset
(Information Coverage)
31
32. India Online Landscape Dataset
(Information Coverage)
32
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Popular online activities undertaken and most used websites
• Most used generic website/portal
• Whether undertake, and the most used website for each of the following online activities:
Emailing Instant Messaging/Chatting
Use Emailing on Mobile Follow Tweets
Info Search (English) Location/Map Search
Job Search Travel Search/Booking
Real Estate Info Online Shopping (other than travel products)
Search/Buy Books General News
Business/Financial News Financial Info (rates, quotes, etc.)
Net Banking Online Share Trading
PC to PC & PC to Phone based Net Telephony PC to Mobile messaging (SMS)
Matrimonial Search Dating/Friendship
Social Networking Sharing Pictures
Sharing Videos Watch Videos
Professional Networking Pay Bills Online
Gaming Stream/Listen to Music
Download Music Download Movies
Cricket Content Cinema Content
Non-cricket Sports Content Book Movie Tickets
Download Mobile Content Educational Info Search
Health & Lifestyle Info Online Education/Tutorials
E-greetings Astrology
Online Communities