This document discusses opportunities for targeting the BRICS+MINT markets, which have a combined economic size of $26 trillion and average growth rate of 7%, making them the largest and fastest growing markets globally. It notes that BRICS+MINT individuals make up a large portion of tourists, students, immigrants, and business owners internationally. Data shows that BRICS+MINT markets represent around 15% of the US retail market size, or $450 billion. The document recommends changes to assortments, data collection, supply chains, pricing, and digital strategies to better capture this growing market segment.
Opportunities And Threats Of Entering New Markets New Geos Powerpoint Present...SlideTeam
Introducing our Opportunities And Threats Of Entering New Markets New Geos PowerPoint Presentation Slides to help you create a successful business expansion plan step-by-step. Identify the available geographic strategic options best-suited to widen your market base by taking the help of these entry strategy PPT slides. Use this swot analysis PPT template to elaborate on the plan of action for business growth, like expansion in successful existing geos, entering new geos, and dropping unsuccessful geos. Employ these content-specific market entry PPT layouts to carry out effective market research for your business. Highlight the process as well as the importance of value proposition analysis by taking the aid of these commercialization strategy PPT designs. Take advantage of our matrix template for this geographic expansion strategy PPT presentation to score each potential geo on the criteria of market opportunities like growth potential, competition level, investment, risk, and legal aspects. Download this global marketing effort PPT deck and create a roadmap for successful business expansion in the global market. https://bit.ly/3cJ7cx9
Opportunities And Threats Of Entering New Markets New Geos Powerpoint Present...SlideTeam
Introducing our Opportunities And Threats Of Entering New Markets New Geos PowerPoint Presentation Slides to help you create a successful business expansion plan step-by-step. Identify the available geographic strategic options best-suited to widen your market base by taking the help of these entry strategy PPT slides. Use this swot analysis PPT template to elaborate on the plan of action for business growth, like expansion in successful existing geos, entering new geos, and dropping unsuccessful geos. Employ these content-specific market entry PPT layouts to carry out effective market research for your business. Highlight the process as well as the importance of value proposition analysis by taking the aid of these commercialization strategy PPT designs. Take advantage of our matrix template for this geographic expansion strategy PPT presentation to score each potential geo on the criteria of market opportunities like growth potential, competition level, investment, risk, and legal aspects. Download this global marketing effort PPT deck and create a roadmap for successful business expansion in the global market. https://bit.ly/3cJ7cx9
[Big] Data For Marketers: Targeting the Right MarketPanji Winata
big data analytics for marketers: customer 360 degree profile, customer segmentation using RFM, Smartphone Adoption Prediction for Telecommunication Service, Event Trigger for Preventing Customer Churn in Telecommunication Service
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Read More Our Analysis: https://bit.ly/3sVWnyk
Who Is Your Business' MVP A DIY Guide to the Most Valuable PersonaseBoost Consulting
A DIY Guide to The Most Valuable Persona.
How much money are you leaving on the table by targeting the wrong customer? How well are you managing your customer acquisition? Is your customer strategy steering the business well? Are you maximizing your profit pool?
Starting, growing, surviving, and thriving customer strategies is a matter of navigating through your customer portfolio and steering in the right direction of your most valuable customers.
eBoost Consulting’s persona development process is an intensive 4-6 week engagement. In August Brown Bag webinar, we teach SMBs how to run through a DIY customer audit. You’ll learn:
•How to separate assumptions from facts.
•How to determine what customers matter to your business (and which ones don’t)
•How large your competitive advantage is.
•How to transfer these insights to your 2011 marketing plan.
[123 Pages Report] MarketsandMarkets expects the global Real-time Bidding Market to grow from USD 6.6 billion in 2019 to USD 27.2 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 32.9%
Revolutionizing Search Intelligence with AI - SMX West 2018 - Ashley FletcherAdthena
We often think we know who our competitors are. But do you really?
Have you ever been surprised by a particular advertiser bidding on your same terms?
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This tutorial aims to provide not only a comprehensive and systemic introduction to RTB and computational advertising in general, but also the emerging research challenges and research tools and datasets in order to facilitate the research. Compared to previous Computational Advertising tutorials in relevant top-tier conferences, this tutorial takes a fresh, neutral, and the latest look of the field and focuses on the fundamental changes brought by RTB.
We will begin by giving a brief overview of the history of online advertising and present the current eco-system in which RTB plays an increasingly important part. Based on our field study and the DSP optimisation contest organised by iPinyou, we analyse optimization problems both from the demand side (advertisers) and the supply side (publishers), as well as the auction mechanism design challenges for Ad exchanges. We discuss how IR, DM and ML techniques have been applied to these problems. In addition, we discuss why game theory is important in this area and how it could be extended beyond the auction mechanism design.
CIKM is an ideal venue for this tutorial because RTB is an area of multiple disciplines, including information retrieval, data mining, knowledge discovery and management, and game theory, most of which are traditionally the key themes of the conference. As an illustration of practical application in the real world, we shall cover algorithms in the iPinyou global DSP optimisation contest on a production platform; for the supply side, we also report experiments of inventory management, reserve price optimisation, etc. in production systems.
We expect the audience, after attending the tutorial, to understand the real-time online advertising mechanisms and the state of the art techniques, as well as to grasp the research challenges in this field. Our motivation is to help the audience acquire domain knowledge and obtain relevant datasets, and to promote research activities in RTB and computational advertising in general.
Canback and D'Agnese - Where in the World Is the Market?Tellusant, Inc.
This article by our executive chairman, Staffan Canback, describes how to analyze global markets.
Finding, measuring and capturing market opportunities in emerging countries are critical tasks for multinational consumer goods companies. Central to these tasks is the need to collect and analyze income distribution data within a globally coherent framework and to move beyond income metrics based on national averages.
The article describes a new framework and dataset that achieves this goal and demonstrates how income distribution data, combined with consumer and marketing data, can be incorporated into simple demand models such as the Bass diffusion model or the Golder-Tellis affordability model to understand market dynamics. Our analytical effort is the first example of income distribution data being used to assess market opportunities in emerging countries.
We find that demand models based on the number of people within various income brackets at national or local levels are superior to models based on average income. We further find that combining income distribution data with pricing,
marketing spending, consumer behavior and distribution coverage data makes it possible to measure which factors drive demand at the brand level — even in hard-to-analyze countries.
[Big] Data For Marketers: Targeting the Right MarketPanji Winata
big data analytics for marketers: customer 360 degree profile, customer segmentation using RFM, Smartphone Adoption Prediction for Telecommunication Service, Event Trigger for Preventing Customer Churn in Telecommunication Service
Digital Twin Market by Type, Application, Technology and Region: Global Indus...ReportCruxMarketRese
Digital Twin Market is estimated to grow from USD 3.67 Billion in 2019 to reach USD 75.42 Billion by 2027, at a CAGR of 45.9% from 2020-2027.
Read More Our Analysis: https://bit.ly/3sVWnyk
Who Is Your Business' MVP A DIY Guide to the Most Valuable PersonaseBoost Consulting
A DIY Guide to The Most Valuable Persona.
How much money are you leaving on the table by targeting the wrong customer? How well are you managing your customer acquisition? Is your customer strategy steering the business well? Are you maximizing your profit pool?
Starting, growing, surviving, and thriving customer strategies is a matter of navigating through your customer portfolio and steering in the right direction of your most valuable customers.
eBoost Consulting’s persona development process is an intensive 4-6 week engagement. In August Brown Bag webinar, we teach SMBs how to run through a DIY customer audit. You’ll learn:
•How to separate assumptions from facts.
•How to determine what customers matter to your business (and which ones don’t)
•How large your competitive advantage is.
•How to transfer these insights to your 2011 marketing plan.
[123 Pages Report] MarketsandMarkets expects the global Real-time Bidding Market to grow from USD 6.6 billion in 2019 to USD 27.2 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 32.9%
Revolutionizing Search Intelligence with AI - SMX West 2018 - Ashley FletcherAdthena
We often think we know who our competitors are. But do you really?
Have you ever been surprised by a particular advertiser bidding on your same terms?
Without the inclusion of machine learning, it’s impossible for a human alone to comprehend, analyze and quantify competition in a blind billion-dollar auction.
CIKM 2013 Tutorial: Real-time Bidding: A New Frontier of Computational Advert...Shuai Yuan
Computational Advertising has been an important topical area in information retrieval and knowledge management. This tutorial will be focused on real-time advertising, aka Real-Time Bidding (RTB), the fundamental shift in the field of computational advertising. It is strongly related to CIKM areas such as user log analysis and modelling, information retrieval, text mining, knowledge extraction and management, behaviour targeting, recommender systems, personalization, and data management platform.
This tutorial aims to provide not only a comprehensive and systemic introduction to RTB and computational advertising in general, but also the emerging research challenges and research tools and datasets in order to facilitate the research. Compared to previous Computational Advertising tutorials in relevant top-tier conferences, this tutorial takes a fresh, neutral, and the latest look of the field and focuses on the fundamental changes brought by RTB.
We will begin by giving a brief overview of the history of online advertising and present the current eco-system in which RTB plays an increasingly important part. Based on our field study and the DSP optimisation contest organised by iPinyou, we analyse optimization problems both from the demand side (advertisers) and the supply side (publishers), as well as the auction mechanism design challenges for Ad exchanges. We discuss how IR, DM and ML techniques have been applied to these problems. In addition, we discuss why game theory is important in this area and how it could be extended beyond the auction mechanism design.
CIKM is an ideal venue for this tutorial because RTB is an area of multiple disciplines, including information retrieval, data mining, knowledge discovery and management, and game theory, most of which are traditionally the key themes of the conference. As an illustration of practical application in the real world, we shall cover algorithms in the iPinyou global DSP optimisation contest on a production platform; for the supply side, we also report experiments of inventory management, reserve price optimisation, etc. in production systems.
We expect the audience, after attending the tutorial, to understand the real-time online advertising mechanisms and the state of the art techniques, as well as to grasp the research challenges in this field. Our motivation is to help the audience acquire domain knowledge and obtain relevant datasets, and to promote research activities in RTB and computational advertising in general.
Canback and D'Agnese - Where in the World Is the Market?Tellusant, Inc.
This article by our executive chairman, Staffan Canback, describes how to analyze global markets.
Finding, measuring and capturing market opportunities in emerging countries are critical tasks for multinational consumer goods companies. Central to these tasks is the need to collect and analyze income distribution data within a globally coherent framework and to move beyond income metrics based on national averages.
The article describes a new framework and dataset that achieves this goal and demonstrates how income distribution data, combined with consumer and marketing data, can be incorporated into simple demand models such as the Bass diffusion model or the Golder-Tellis affordability model to understand market dynamics. Our analytical effort is the first example of income distribution data being used to assess market opportunities in emerging countries.
We find that demand models based on the number of people within various income brackets at national or local levels are superior to models based on average income. We further find that combining income distribution data with pricing,
marketing spending, consumer behavior and distribution coverage data makes it possible to measure which factors drive demand at the brand level — even in hard-to-analyze countries.
2. Assortment Planning in
BRICS+MINTECONOMIC SIZE OF BRICS+MINT MARKET = 21 + 5 = 26 TRILLION
DOLLAR.
AVERAGE GROWTH RATE : 7%.
MAKING IT LARGEST AND FASTEST GROWING MARKET FOR PRODUCTS.
SURPLUS MONEY MAKE THEM TOURISTS, GLOBETROTTER,
INTERNATIONAL UNIVERSITY STUDENTS, WORKING PROFESSIONAL AT
GLOBAL WORKPLACES, IMMIGRATION PROPERTY OWNERS AT GLOBAL
REAL ESTATE PROPERTIES.
WHAT DOES IT MEAN?
WE ARE TALKING ABOUT IMMIGRATION FROM BRICS+MINT.
DEMOGRAPHY IS CHANGING EVERYWHERE. OUT OF THE CHANGE
WHAT IS CHANGING FASTEST AT ALL PLACES OF BUYING AND SELLING
ITS BRICS+MINT (PRESENCE IN EVERY COUNTRY/CITY/STATE).
3. What is Driving Change?CALCULATIONS US MARKET:
WORLD STUDENT FROM BRICS+MINT: 30% (1.1/4 MILLION)
PROFESSIONAL FROM BRICS+MINT: 0.5 MILLION OVER 10 YRS = 20 MILLION.
6%-10% IMMIGRANT + 6%-10% SAME TOURISTS +STUDENT 1-2% =
13-22% CUSTOMERS FROM BM.
BUSINESS OWNER FROM BRICS+MINT: PARTNER IN SUPPLY CHAIN
TOURIST BRICS+MINT: 40%
IMMIGRATION : BRICS+MINT: 65%
AMAZING FACTS US TOURIST SPENDING:
47% COMES FROM BRICS+MINT = 66/140 BILLION DOLLARS
55% REMITTANCE GOES TO BM. 246/440 BILLION.
33% OF WORLD GDP 26/77 TRILLION.
HOW MUCH CAPTURED BY RETAIL MARKET.
5. Opportunity Calculation: US
BM Market Size 0.5 Trillion
CALCULATIONS:
12-20% ~ 15% OF 3000 BILLION= 450 BILLION DOLLARS.
BM REPRESENT 450 BILLION DOLLAR IN US ALONE
TOURISTS +STUDENT +IMMIGRANT +BUSINESS = FROM BM COUNTRIES.
ALMOST 0.5 TRILLION DOLLAR ASSORTMENT CAN FROM BM.
MORE GROSS MARGIN RETURN ON INVENTORY INVESTMENT
GMROI
FOOD: INDIAN SPICES, CHINESE NOODLES, MEXICAN FOOD,CLOTHES
CAN THESE GET GLOBAL AUDIENCE?
TRADE-OFF BETWEEN VARIETY
HOW TO PLAN CITY WISE BM MARKET INVENTORY?
BIG DATA(SOCIAL DATA FEEDS WITH GEOTAGGING CAN HELP PLAN
VARIETY)
6. Targeting BM Sales: What needs
change
Product Mix (earn loyalty), product range (alternatives).
Loyality Application needs to gather BM data from social Media.
Ways of gathering data (if BM data not captured sales missed)
Data representing BM markings (new data structure,fields in db).
BI, Datawarhouse, analytics Has to reflect that trends over Mapping
API. Scroll over market size, percentage size, growth yoy flag over
map
Inventory data has to match social data optimized assortment. With
data science measure checks like lift (to validate rules).
Web Recommedation systems: Content filtering + collaborative
filtering needs to optimized to BM data.
7.
8. Understand Change Implication
Factors of
Change
What implications on Systems/processes? Example
What is
Changing?
Inventory Identification/Type/sets from BM
How ? Process need to fulfill above (Process
Identification/Flow/Type)
Where ? Distribution/supply chain Identified (Type/network etc.)
Who ? Responsibility Assignment: Organization structure for BM
sales/merchandising/sourcing
When ? Operational Intervals of Supply chain/ Timing BM
market changes in locale
Why ? Already know 0.5 Trillion Opportunity
9. Merchandising: Supply chain
Changes
Retail in BRICS + MINT is not so advanced so supply chain
and logistics (shipment, order information, inventory
tracking).
Manufacturing to places of scale and cost arbitrage like
BM countries.
Implies for Cost effective sourcing from BM countries due
to economies of scale and cheap labor cost.
Economics dictate BM 0.5 trillion market assortment
needs of food/cloth/etc met only by sourcing from BM
countries.
10. Understand BM Through data
Science
Antecedent
(Input we control
Consequent
(prediction)
A 0
A 0
A 1
A 0
B 1
B 0
B 1
•Rule 1: A implies 0
•Rule 2: B implies 1
support for Rule 1 is 3/7
support for Rule 2 is 2/7
confidence for Rule 1 is 3/4 because
confidence for Rule 2 is 2/3 because
•The lift for Rule 1 is (3/4)/(4/7) ≈
•The lift for Rule 2 is (2/3)/(3/7) = 2/3 * 7/3 = 14/9 ≈
Validate BM Assortment rules by Lift measure for Each Store with data driven decisions
supp(A0) = P(A ^ 0) = P(A) P(0/A)= P(0) P(A/0)
conf(A0) = P(0|A) , conf(B1) = P(1|B)
Lift(A 0) = P(0|A)/P(0) = P(A ^ 0) / P(A) P(0)
Lift of 1 Antecedent and Cons independent, Rule 1 high confidence low lift preferred
11. Digital Strategy for BM for 5P, 5C
Marketing Mix 5P have to tackled to align with changing BM presence.
5P (Product ,Promotion ,Place ,Price , people)
Product (assortment from BM) targeted by market surveys/social feeds
of region.
Promotion: Targeted online advertisement to BM prospects.
Online Place Strategy: have .retail TLD (permanent place away from
others), localization based on segment of BM population near store.
Price: Sourcing from cheap manufacturing hub having economy of
scale keep merchandising cost down. Assortment Can easily compete
on prices to local store due to supply chain efficiencies.
People: Engage People on BM specific blog on Sears Website.
Personalize web site using Machine learning categorized reasons.
12. Recommendation Engine Changes
Content based Filtering tweaked for BM.
Bayesian Classifiers, cluster analysis, decision trees, and artificial neural
networks.
estimate the probability that the user is going to like the item.
collaborative filtering: Unknown-Unknown
Predicting users like based on similarity to other users k-nearest
neighbour (k-NN) approach and the Pearson Correlation.
Choose BM option box in Assortment Type Get relevant feedback
More intuitive: Choose machine learning to get you either BM or non
BM specific products.