Marketelligent provides analytic services to help Consumer Packaged Goods (CPG), Manufacturing, and Retail companies make better business decisions. Their services include optimizing marketing investments, managing product pricing and promotions, rationalizing stock keeping units, understanding markets and shopper behavior, and designing supply chains and distribution networks. They offer global analytic capabilities leveraging domain expertise to maximize sales and profits.
Insights Throughout the CPG Brand LifecycleNM Incite
NM Incite’s social media research and analytics offer brands insight into real-time, authentic consumer expression that can transform how marketers build strong brands, create passionate and engaged communities and ultimately achieve superior sales outcomes. Learn how NM Incite’s solutions can be layered with other Nielsen assets to produce powerful insights, providing a valuable competitive advantage.
Accenture: Commercial analytics insights CPG Companies 27-7-12 Brian Crotty
A fully integrated analytics operating model can help consumer packaged goods (CPG) companies focus commercial analytics resources on high-value processes to grow market share and sustain profit margins.
Market and economic uncertainty is making it difficult for CPG companies to achieve sustainable growth. Value-driven consumers are more demanding than ever before, and retailers are increasingly pushing private labels and looking for ways to control the consumer relationship. Additionally, “big data” has left many marketing and sales organizations with an information overload, yielding little insight into how to win consumer loyalty. This uncertain environment requires CPG companies to make faster, better-informed commercial decisions and take concrete action to improve market performance.
In this point of view, Accenture outlines an approach that can help CPG companies improve their commercial analytics capability to generate significant value.
June 27, 2012
Driving Marketing Efficiency In The Consumer Goods Business With Advanced Ana...Gina Shaw
"Information is the oil of the 21st century, and analytics is the combustion engine" – Gartner
A large percentage of marketing efforts in a consumer goods business has little to no impact on sales. One primary reason for low-yield marketing campaigns is the inability to leverage data. Success in the consumer goods industry largely depends on the speed and accuracy of decision-making.
This eBook will help you discover:
1. Challenges marketers face in in the consumer goods business
2. The current state of marketing analytics
3. The overview and importance of advanced analytics
4. Traditional analytics vs advanced analytics
5. Advanced analytics solutions use cases in the areas of
- Measuring marketing effectiveness
- Optimizing marketing and advertising spend
- Sales forecasting
- Product portfolio management
- Marketing mix modelling
6. Driving analytics adoption within your organization with AI
7. Case study: How a global CPG company reduced marketing spend by 5% with advanced analytics
8. How you can get started right away?
Predictive Analytics in Retail - Visual Infographic Reportc24ltd
A visual infographic report about Predictive Analytics in Retail, based on our whitepaper "Predictive Analytics in Retail" (link: https://blog.c24.co.uk/2016/08/17/c24-publishes-new-predictive-analytics-whitepaper/).
We explore the ways in which Predictive Analytics is set to change how retailers make use of big data, analytics and insights across their customers, supply chain and stores.
Insights Throughout the CPG Brand LifecycleNM Incite
NM Incite’s social media research and analytics offer brands insight into real-time, authentic consumer expression that can transform how marketers build strong brands, create passionate and engaged communities and ultimately achieve superior sales outcomes. Learn how NM Incite’s solutions can be layered with other Nielsen assets to produce powerful insights, providing a valuable competitive advantage.
Accenture: Commercial analytics insights CPG Companies 27-7-12 Brian Crotty
A fully integrated analytics operating model can help consumer packaged goods (CPG) companies focus commercial analytics resources on high-value processes to grow market share and sustain profit margins.
Market and economic uncertainty is making it difficult for CPG companies to achieve sustainable growth. Value-driven consumers are more demanding than ever before, and retailers are increasingly pushing private labels and looking for ways to control the consumer relationship. Additionally, “big data” has left many marketing and sales organizations with an information overload, yielding little insight into how to win consumer loyalty. This uncertain environment requires CPG companies to make faster, better-informed commercial decisions and take concrete action to improve market performance.
In this point of view, Accenture outlines an approach that can help CPG companies improve their commercial analytics capability to generate significant value.
June 27, 2012
Driving Marketing Efficiency In The Consumer Goods Business With Advanced Ana...Gina Shaw
"Information is the oil of the 21st century, and analytics is the combustion engine" – Gartner
A large percentage of marketing efforts in a consumer goods business has little to no impact on sales. One primary reason for low-yield marketing campaigns is the inability to leverage data. Success in the consumer goods industry largely depends on the speed and accuracy of decision-making.
This eBook will help you discover:
1. Challenges marketers face in in the consumer goods business
2. The current state of marketing analytics
3. The overview and importance of advanced analytics
4. Traditional analytics vs advanced analytics
5. Advanced analytics solutions use cases in the areas of
- Measuring marketing effectiveness
- Optimizing marketing and advertising spend
- Sales forecasting
- Product portfolio management
- Marketing mix modelling
6. Driving analytics adoption within your organization with AI
7. Case study: How a global CPG company reduced marketing spend by 5% with advanced analytics
8. How you can get started right away?
Predictive Analytics in Retail - Visual Infographic Reportc24ltd
A visual infographic report about Predictive Analytics in Retail, based on our whitepaper "Predictive Analytics in Retail" (link: https://blog.c24.co.uk/2016/08/17/c24-publishes-new-predictive-analytics-whitepaper/).
We explore the ways in which Predictive Analytics is set to change how retailers make use of big data, analytics and insights across their customers, supply chain and stores.
Cross-selling in the New Era: A Win-win for Banks and Customersaccenture
In this new Accenture document we discuss how banks can reinvent cross-selling. The presentation introduces a sales paradigm that serves the financial well-being of customers better and demonstrates a bank's value as a trusted advisor. For more information, read our blog post on bank cross-selling: bit.ly/2hLpxO1
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...Gina Shaw
Artificial Intelligence (AI) will happen in both TPx and Retail Execution sooner than you probably think – Promotion Optimization Institute
According to Nielsen Holdings, 40% of Consumer Goods trade promotion spending doesn’t drive the desired results. Even though the trade promotions spend take up a lion’s share of the organizational revenue, traditionally manufacturers have always struggled in optimizing their promotion mix for the maximum bang for the buck.
With the advancements in AI technologies, it is now possible to powerfully harness data and run high-yield trade promotions.
What You Can Expect From The eBook?
1. Key Trade Promotion Optimization (TPO) challenges faced today
2. What is AI in the context of TPO?
3. How AI helps run profitable trade promotions?
4. What an AI-Powered analysis looks like?
5. Case-studies
6. How you can get started right away!
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Top 20 Reasons Why Agent-based Modeling is Disrupting Marketing MixThinkVine
Misallocated ad dollars may be costing brands more than 25 percent in lost sales. Based on an analysis of ThinkVine customers with average annual sales of more than $1 billion, we found that companies were spending too much or too little on specific media 85 percent of the time. By optimizing their marketing budgets, the companies added anywhere from 7 to 81 percent in additional revenue attributed to marketing activities – an average of 28 percent.
Don’t lose out on the additional sales your marketing could be driving. Brands have been relying too heavily on outdated, backward-looking marketing mix methods that leave money on the table.
Companies are now turning to agent-based modeling to make better strategic decisions that will deliver the results they need, and here is why.
Learn How a New Kind of Marketing Mix Modeling is Better for Media PlanningThinkVine
This presentation discusses the use of agent-based modeling and its proven advantages to media planners, including the abilities to create effective media plans based on consumer differences, accurately attribute results to media tactics, quantify long-term effects, and forecast sales and ROI results.
"Marketing Analytics and Applications": Course IntroductionMasao Kakihara
Initial course introduction slides for "Marketing Analytics and Applications" course at SMU MITB program (AY2016 Term 1).
http://sis.smu.edu.sg/master-it-business
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
VIAPROM provides Analytics Solutions which involved deep problem solving and usage of a range of statistical techniques from regression to ML based models for Clients in Retail industries across the world.
From Digital Attribution to Marketing Mix ModellingPetri Mertanen
MeasureCamp Amsterdam 2018. We are good when it comes to measuring advertising but should you also thing what kind of effect other marketing P's have on sales?
SAP HANA & HADOOP Implementation - Predictive Analytics – CPG and Retail on U...Cloneskills
• Objective of this demonstration is to provide enough functional and technical details about our pre-configured SAP HANA enabled predictive analytics on SAP COPA and social media data - “Big Data”
• In this demonstration we will be presenting the out of the box analytics capabilities of SAP HANA. Viewers will learn on how our pre-packaged solutions will cut-down the implementation time, and risk with low predictable cost
• An ideal Advanced Analytics solution should have the capability to extract business values from unstructured information and convert that into actionable insight. We will show how to analyze and integrate an un-structured social media data to provide valuable insight on customer behavior and sales trends. All these on our hosted solutions over an Amazon cloud infrastructure
• Our readily deployable solutions uses the new features of SAP HANA 1.0 SPS5 including the new Text Analysis engine for entity extraction (for example persons, locations, products), and "Voice of Customer" fact extraction (for example sentiments, requests, topics)
Cross-selling in the New Era: A Win-win for Banks and Customersaccenture
In this new Accenture document we discuss how banks can reinvent cross-selling. The presentation introduces a sales paradigm that serves the financial well-being of customers better and demonstrates a bank's value as a trusted advisor. For more information, read our blog post on bank cross-selling: bit.ly/2hLpxO1
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...Gina Shaw
Artificial Intelligence (AI) will happen in both TPx and Retail Execution sooner than you probably think – Promotion Optimization Institute
According to Nielsen Holdings, 40% of Consumer Goods trade promotion spending doesn’t drive the desired results. Even though the trade promotions spend take up a lion’s share of the organizational revenue, traditionally manufacturers have always struggled in optimizing their promotion mix for the maximum bang for the buck.
With the advancements in AI technologies, it is now possible to powerfully harness data and run high-yield trade promotions.
What You Can Expect From The eBook?
1. Key Trade Promotion Optimization (TPO) challenges faced today
2. What is AI in the context of TPO?
3. How AI helps run profitable trade promotions?
4. What an AI-Powered analysis looks like?
5. Case-studies
6. How you can get started right away!
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Top 20 Reasons Why Agent-based Modeling is Disrupting Marketing MixThinkVine
Misallocated ad dollars may be costing brands more than 25 percent in lost sales. Based on an analysis of ThinkVine customers with average annual sales of more than $1 billion, we found that companies were spending too much or too little on specific media 85 percent of the time. By optimizing their marketing budgets, the companies added anywhere from 7 to 81 percent in additional revenue attributed to marketing activities – an average of 28 percent.
Don’t lose out on the additional sales your marketing could be driving. Brands have been relying too heavily on outdated, backward-looking marketing mix methods that leave money on the table.
Companies are now turning to agent-based modeling to make better strategic decisions that will deliver the results they need, and here is why.
Learn How a New Kind of Marketing Mix Modeling is Better for Media PlanningThinkVine
This presentation discusses the use of agent-based modeling and its proven advantages to media planners, including the abilities to create effective media plans based on consumer differences, accurately attribute results to media tactics, quantify long-term effects, and forecast sales and ROI results.
"Marketing Analytics and Applications": Course IntroductionMasao Kakihara
Initial course introduction slides for "Marketing Analytics and Applications" course at SMU MITB program (AY2016 Term 1).
http://sis.smu.edu.sg/master-it-business
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
VIAPROM provides Analytics Solutions which involved deep problem solving and usage of a range of statistical techniques from regression to ML based models for Clients in Retail industries across the world.
From Digital Attribution to Marketing Mix ModellingPetri Mertanen
MeasureCamp Amsterdam 2018. We are good when it comes to measuring advertising but should you also thing what kind of effect other marketing P's have on sales?
SAP HANA & HADOOP Implementation - Predictive Analytics – CPG and Retail on U...Cloneskills
• Objective of this demonstration is to provide enough functional and technical details about our pre-configured SAP HANA enabled predictive analytics on SAP COPA and social media data - “Big Data”
• In this demonstration we will be presenting the out of the box analytics capabilities of SAP HANA. Viewers will learn on how our pre-packaged solutions will cut-down the implementation time, and risk with low predictable cost
• An ideal Advanced Analytics solution should have the capability to extract business values from unstructured information and convert that into actionable insight. We will show how to analyze and integrate an un-structured social media data to provide valuable insight on customer behavior and sales trends. All these on our hosted solutions over an Amazon cloud infrastructure
• Our readily deployable solutions uses the new features of SAP HANA 1.0 SPS5 including the new Text Analysis engine for entity extraction (for example persons, locations, products), and "Voice of Customer" fact extraction (for example sentiments, requests, topics)
In this case study learn how BRIDGEi2i helped a Fortune 500 Technology company to develop a mobile-enabled dashboard to identify root cause to Throughput, Utilization and Yield metrics and delivered Real-time reporting using the Line Operations system
In this case study learn how BRIDGEi2i helped a Fortune 500 Consumer, Technology company to understand patterns in New Product Introduction and how data can be leveraged for the same
In this case study learn how BRIDGEi2i helped the world's largest Contract Manufacturer to quantify the impact of demand signal variation on capacity utilization and to build a predictive algorithm to counter demand & supply uncertainties and provision linear Capacity Utilization.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that identifies patterns in Direct Customer bookings
and to develop a unique forecasting model for just Direct customers.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that simulates demand signals by associating a buffer inventory need for every SKU and to build a tracking mechanism that ensures optimality.
Digital has evolved into a major channel for organizations. From online selling to educational resources or engaging with customers, a online presence has become indispensable for organizations to compete in today's world.
BRIDGEi2i, with its Web Analytics Solution helps you manage your entire online presence across the entire analytics lifecycle.
From descriptive reporting of incoming traffic and your website quality to insights into visitor profiling and predicting visitor intent, BRIDGEi2i will partner with you to engage your visitors better.
Website path analyses, recommendation systems will help you sell and engage your customers and prospects in a personalized manner.
If you have a retail product that needs a sales boost or you're launching a new product - you should consider a custom designed and manufactured point of sale product display unit.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to understand patterns in New Product Introductions and use this understanding for better insights into planning demand for NPIs
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to leverage a Teradata environment to pull Bookings, Builds and Shipment information onto 1 platform and to correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME.
BRIDGEi2i helps a global risk advisory firm build a robust valuation of non-performing loan portfolio for a leading Asian bank. More about BRIDGEi2i at http://www.bridgei2i.com
Marketing management - Marketing mix - Role of Marketing Arunagiri N
Fundamentals of marketing - Role of Marketing - Relationship of Marketing with other functional areas - the concept of marketing mix-Marketing approaches - Various Environmental factors affecting the marketing functions
RTMNU 4th sem MBA
Subject - Retail Sales Management & Services Marketing [ Marketing ]
Module 3
RETAIL MERCHANDISING AND CRM
BY Jayanti R Pande
MBA free notes pdf download
JRP MBA notes
Free RTMNU Marketing notes by Jayanti Pande
Mckinsey survey analysis. Findings for the winning companies and their strategy. Success factors to win in Indonesian market with respect to sales, trade, price
Similar to Analytics for CPG Industry_Marketelligent (20)
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. CPG INDUSTRY ANALYTICS
Marketelligent is in the business of providing
analytic services that help you make smarter
business decisions. With deep expertise in
Consumer Packaged Goods (CPG),
Manufacturing and Retail, we offer an
affordable global delivery model leveraging
the best of domain expertise and analytic
capabilities.
• Optimize your Marketing Investments
Establish relationships between Sales and
Marketing inputs - price, promotions, distribution
and advertising
Quantify impact of each marketing driver on sales
Optimize allocation spends across various drivers
to maximize sales
• Manage Product Pricing and Promotions:
Identify Optimal pricing and promotional pricing
strategy for brands
Identify opportunity to increase promotion
effectiveness and promotion lifts across
brands/portfolio
• SKU Management & Rationalization:
Focus the organization on bigger and bolder
opportunities. Increase support to existing powerful
products / SKUs
Increase profitability by eliminating low
performing SKUs. Focus on cost reduction of
powerful SKUs – larger savings
Reduce inventory by focusing on efficient SKUs.
Reduce capital requirements by increasing asset
utilization
• Understand Market Structure:
Understand what attributes Customers Value; and
how they define categories
Develop consumer decision trees
• Design & Optimize Supply Chain and Distribution
Networks
Warehouse placement & Network Design
Optimal Replenishment systems
Secondary Distribution Optimization
• Optimize Pricing:
Analysis of pricing strategy
Analysis of threshold price and price gaps with
other retailers
Effect of Pricing strategy on Base sales and
Incremental sales
• Manage Promotions:
Analysis of promotional strategy
Analysis of effectiveness of promotions in
comparison to other retailers
Effect of Promotion strategy on Base sales and
Incremental sales
• Manage Retail Assortment & Shelf-Space :
Develop Shelving principles driven by consumer
behavior and retailer opportunity
Optimize shelf space allocated to a category
• Understand Shopper Behavior:
Identify association between various items
purchased by shoppers (Market Basket Analysis)
Bundle Products; price optimally; effective
Promotions
• Drive Customer Loyalty :
Segmentation of customers based on their
behavior and anticipated needs
Different promotional offers to different kinds of
customers
Predictive modeling for loyal customer & next
purchase
Cross-sell and up-sell strategies
Manage Customer Attrition
FOR RETAILERSFOR MANUFACTURERS
2. CONTACT www.marketelligent.com
MARKETELLIGENT, INC.
80 Broad Street, 5th Floor, New York, NY 10004
1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com
OPTIMIZE YOUR MARKETING SPENDS
Quantify impact of each marketing driver on sales.
Optimize spends across various drivers to maximize sales
Identify optimum price corridor for your brand to play in a
competitive market scenario
META ANALYSIS
Driving category decisions by integrating insights from various
researches & analysis
CONSUMER SEGMENTATION
ANALYTICS FOR THE
CPG & RETAIL INDUSTRY
0
100
200
300
400
500
600
700
800
900
0
2
4
6
8
10
12
14
16
18
20
JAN07
FEB07
MAR07
APR07
MAY07
JUN07
JUL07
AUG07
SEP07
OCT07
NOV07
DEC07
JAN08
FEB08
MAR08
APR08
MAY08
JUN08
JUL08
AUG08
SEP08
OCT08
NOV08
DEC08
Baseline Sales Magazine Incr. Sales TVIncr. Sales Daily Incr. Sales
test Magazine Spend TVSpend Dailies Spend
Volume,‘000units
MediaSpend,‘000SGD
Identify actionable target groups for your brand
PRICING OPTIMIZATION