This document summarizes a research paper that analyzes supermarket pricing strategies. The paper uses a unique store-level dataset to estimate a discrete choice model of pricing strategy selection as a static game. The model addresses three questions: 1) How do local demographics influence strategy choice? 2) Do some chains have advantages for certain strategies? 3) How do firms react to rival strategies? The key finding is that firms tend to choose strategies that match their rivals rather than differentiate, contradicting theories viewing pricing strategy as differentiation.
Gurumurthy Kalyanaram on Advertising Response Function in Marketing ScienceGurumurthy Kalyanaram
Dr. Gurumurthy Kalyanaram is a well-known professor and academic leader, and an experienced business consultant and advisorDr. Gurumurthy Kalyanaramh as lectured in various universities including The London School of Economics, The University of Texas at Dallas (UTD), Jiang Xi University of Finance and Frankfurt School of Finance and Management.
A Model of Manufacturer-Driven Governing Mechanisms and Distributor PerformanceRuss Merz, Ph.D.
Drawing from relational exchange, dependence, and agency theories the authors explain that it is not only the type of governing mechanisms but also the proper sequencing of them that improves a manufacturer-distributor relationship and performance. Dependence affected relationship continuity positively. Monitoring affected the second order relational norm construct, comprising information sharing and flexibility, positively. Relational norm positively affected relationship continuity. Dependence, relationship continuity, monitoring, and relational norm affected distributor performance positively.
Gurumurthy Kalyanaram on Advertising Response Function in Marketing ScienceGurumurthy Kalyanaram
Dr. Gurumurthy Kalyanaram is a well-known professor and academic leader, and an experienced business consultant and advisorDr. Gurumurthy Kalyanaramh as lectured in various universities including The London School of Economics, The University of Texas at Dallas (UTD), Jiang Xi University of Finance and Frankfurt School of Finance and Management.
A Model of Manufacturer-Driven Governing Mechanisms and Distributor PerformanceRuss Merz, Ph.D.
Drawing from relational exchange, dependence, and agency theories the authors explain that it is not only the type of governing mechanisms but also the proper sequencing of them that improves a manufacturer-distributor relationship and performance. Dependence affected relationship continuity positively. Monitoring affected the second order relational norm construct, comprising information sharing and flexibility, positively. Relational norm positively affected relationship continuity. Dependence, relationship continuity, monitoring, and relational norm affected distributor performance positively.
CSFirstBoston: RETAIL BANKIING (*some hottie interviewed me for Chicago B School. i didn't get it. did she really ask me if i knew how to run a discounted cashflow statement?*)
A study on the chain restaurants dynamic negotiation games of the optimizatio...ijcsit
In the era of meager profit, production costs often become an important factor affecting SMEs’ operating
conditions, and how to effectively reduce production costs has become an issue of in-depth consideration
for the business owners. Especially, the food and beverage (F&B) industry cannot accurately predict the
demand. It many cause demand forecast fall and excess or insufficient inventory pressure. Companies of
the F&B industry may be even unable to meet immediate customer needs. They are faced great challenges
in quick response and inventory pressure. This study carried out the product inventory model analysis of
the most recent year’s sales data of the fresh food materials for chain restaurants in a supply chain region
with raw material suppliers and demanders. Moreover, this study adopted the multi-agent dynamic strategy
game to establish the joint procurement decision model negotiation algorithm for analysis and verification
by simulation cases to achieve the design of dynamic negotiation optimization mechanism for the joint
procurement of food materials. Coupled with supply chain management 3C theory for food material
inventory management, we developed the optimization method for determining the order quantities of the
chain restaurants. For product demand forecast, we applied the commonality model, production and
delivery capacity model, and the model of consumption and replenishment based on market demand
changes in categorization and development. Moreover, with the existence of dependencies between product
demands as the demand forecast basis, we determined the appropriate inventory model accordingly.
Competition policy, cartel enforcement and leniency programDr Danilo Samà
Competition policy, cartel enforcement and leniency program
Author:
Dr Danilo Samà (LUISS “Guido Carli” University)
Abstract:
The present assessment focuses on the antitrust action in detecting and fighting oligopolistic collusion, analyzing the development of the innovative and modern leniency policy. Following the examination of the main conditions and reasons for cartel stability and sustainability, our attempt is to comprehend under which circumstances leniency program represents a functional and successful tool for preventing the formation of anti-competitive agreements.
Keywords:
cartels enforcement, competition policy, game theory, leniency program, oligopolistic markets
JEL classification:
C70; K21; L13
Year:
2008
Pages:
1-12
Citation:
Samà, Danilo (2008), Competition policy, cartel enforcement and leniency program, LUISS “Guido Carli” University, Rome, Italy, pp. 1-12.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The Journal will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to
Over- or underestimating sales is detrimental to marketing and sales efforts as well as
inventories and cash flow management. Thus the purpose of this investigation is to evaluate the forecasting
accuracy of three competing multivariate time-series models that take into account existing
A widely used approach for gaining insight into the heterogeneity of consumer’s buying behavior is market segmentation. Conventional market segmentation models often ignore the fact that consumers’ behavior may evolve over time. Therefore retailers consume limited resources attempting to service unprofitable consumers. This study looks into the integration between enhanced Recency, Frequency, Monetary (RFM) scores and Consumer Lifetime Value (CLV) matrix for a medium size retailer in the State of Kuwait. A modified regression algorithm investigates the consumer purchase trend gaining knowledge from a pointof-sales data warehouse. In addition, this study applies enhanced normal distribution formula to remove outliers, followed by soft clustering Fuzzy C-Means and hard clustering Expectation Maximization (EM) algorithms to the analysis of consumer buying behavior. Using cluster quality assessment shows EM algorithm scales much better than Fuzzy C-Means algorithm with its ability to assign good initial points in the smaller dataset.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
1 DERIVING CONSENSUS RANKINGS VIA MULTICRITERIA DECISIO.docxtarifarmarie
1
DERIVING CONSENSUS RANKINGS VIA MULTICRITERIA DECISION MAKING
METHODOLOGY
1AmyPoh. AL, 2M. N. Saludin, 1M. Mukaidono
1Faculty of Science and Technology, Meiji University
2Faculty of Management & Defense Study, National Defense University of Malaysia
ABSTRACT
Purpose – This paper takes a cautionary stance to the impact of marketing mix on customer satisfaction, via a case study deriving
consensus rankings for benchmarking on selected retail stores in Malaysia.
Design/methodology/approach – ELECTRE I model is used in deriving consensus rankings via multicriteria decision making
method for benchmarking base on the marketing mix model 4Ps. Descriptive analysis is used to analyze the best practice among the
four marketing tactics.
Findings – Outranking methods in consequence constitute a strong base on which to found the entire structure of the behavioral
theory of benchmarking applied to development of marketing strategy.
Research limitations/implications – This study has looked only at a limited part of the puzzle of how consumer satisfaction
translates into behavioral outcomes.
Practical implications – The study provides managers with guidance on how to generate rough outline of potential marketing
activities that can be used to take advantage of capabilities and convert weaknesses and threats.
Originality/value – This paper interestingly portrays the effective usage of multicriteria decision making and ranking method to help
marketing manager predict their marketing trend.
Keywords: Marketing mix, Customer satisfaction, Retailing, Benchmarking, Multicriteria decision-making, ELECTRE I method
Type of paper: Research Paper
http://www.upnm.my/
http://www.upnm.my/
2
1. INTRODUCTION
With increasing globalization, local retailers find themselves having to compete with large foreign players
by targeting niche markets. To excel and flaunt as a market leader in an ultramodern era and a globalize
world, the organizations must strive to harvest from its marketing strategies, benchmarking and company
quality policy.
Ranking and selecting projects is a relatively common, yet often difficult task. It is complicated because
there is usually more than one dimension for measuring the impact of each criteria and more than one
decision maker. This paper considers a real application of project selection for the marketing mix element,
using an approach called ELECTRE.
The ELECTRE method has several unique features not found in other solution methods; these are the
concepts of outranking and indifference and preference thresholds. The ELECTRE method applied to the
project selection problem using SPSS (Statistical Package for the Social Sciences) application.
Our contribution is to show the potential of Marketing mix model in deriving a consensus ranking for
benchmarking. According to the feedback from the respondents, we dynamically rank out the best element
to be be.
CSFirstBoston: RETAIL BANKIING (*some hottie interviewed me for Chicago B School. i didn't get it. did she really ask me if i knew how to run a discounted cashflow statement?*)
A study on the chain restaurants dynamic negotiation games of the optimizatio...ijcsit
In the era of meager profit, production costs often become an important factor affecting SMEs’ operating
conditions, and how to effectively reduce production costs has become an issue of in-depth consideration
for the business owners. Especially, the food and beverage (F&B) industry cannot accurately predict the
demand. It many cause demand forecast fall and excess or insufficient inventory pressure. Companies of
the F&B industry may be even unable to meet immediate customer needs. They are faced great challenges
in quick response and inventory pressure. This study carried out the product inventory model analysis of
the most recent year’s sales data of the fresh food materials for chain restaurants in a supply chain region
with raw material suppliers and demanders. Moreover, this study adopted the multi-agent dynamic strategy
game to establish the joint procurement decision model negotiation algorithm for analysis and verification
by simulation cases to achieve the design of dynamic negotiation optimization mechanism for the joint
procurement of food materials. Coupled with supply chain management 3C theory for food material
inventory management, we developed the optimization method for determining the order quantities of the
chain restaurants. For product demand forecast, we applied the commonality model, production and
delivery capacity model, and the model of consumption and replenishment based on market demand
changes in categorization and development. Moreover, with the existence of dependencies between product
demands as the demand forecast basis, we determined the appropriate inventory model accordingly.
Competition policy, cartel enforcement and leniency programDr Danilo Samà
Competition policy, cartel enforcement and leniency program
Author:
Dr Danilo Samà (LUISS “Guido Carli” University)
Abstract:
The present assessment focuses on the antitrust action in detecting and fighting oligopolistic collusion, analyzing the development of the innovative and modern leniency policy. Following the examination of the main conditions and reasons for cartel stability and sustainability, our attempt is to comprehend under which circumstances leniency program represents a functional and successful tool for preventing the formation of anti-competitive agreements.
Keywords:
cartels enforcement, competition policy, game theory, leniency program, oligopolistic markets
JEL classification:
C70; K21; L13
Year:
2008
Pages:
1-12
Citation:
Samà, Danilo (2008), Competition policy, cartel enforcement and leniency program, LUISS “Guido Carli” University, Rome, Italy, pp. 1-12.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The Journal will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to
Over- or underestimating sales is detrimental to marketing and sales efforts as well as
inventories and cash flow management. Thus the purpose of this investigation is to evaluate the forecasting
accuracy of three competing multivariate time-series models that take into account existing
A widely used approach for gaining insight into the heterogeneity of consumer’s buying behavior is market segmentation. Conventional market segmentation models often ignore the fact that consumers’ behavior may evolve over time. Therefore retailers consume limited resources attempting to service unprofitable consumers. This study looks into the integration between enhanced Recency, Frequency, Monetary (RFM) scores and Consumer Lifetime Value (CLV) matrix for a medium size retailer in the State of Kuwait. A modified regression algorithm investigates the consumer purchase trend gaining knowledge from a pointof-sales data warehouse. In addition, this study applies enhanced normal distribution formula to remove outliers, followed by soft clustering Fuzzy C-Means and hard clustering Expectation Maximization (EM) algorithms to the analysis of consumer buying behavior. Using cluster quality assessment shows EM algorithm scales much better than Fuzzy C-Means algorithm with its ability to assign good initial points in the smaller dataset.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
1 DERIVING CONSENSUS RANKINGS VIA MULTICRITERIA DECISIO.docxtarifarmarie
1
DERIVING CONSENSUS RANKINGS VIA MULTICRITERIA DECISION MAKING
METHODOLOGY
1AmyPoh. AL, 2M. N. Saludin, 1M. Mukaidono
1Faculty of Science and Technology, Meiji University
2Faculty of Management & Defense Study, National Defense University of Malaysia
ABSTRACT
Purpose – This paper takes a cautionary stance to the impact of marketing mix on customer satisfaction, via a case study deriving
consensus rankings for benchmarking on selected retail stores in Malaysia.
Design/methodology/approach – ELECTRE I model is used in deriving consensus rankings via multicriteria decision making
method for benchmarking base on the marketing mix model 4Ps. Descriptive analysis is used to analyze the best practice among the
four marketing tactics.
Findings – Outranking methods in consequence constitute a strong base on which to found the entire structure of the behavioral
theory of benchmarking applied to development of marketing strategy.
Research limitations/implications – This study has looked only at a limited part of the puzzle of how consumer satisfaction
translates into behavioral outcomes.
Practical implications – The study provides managers with guidance on how to generate rough outline of potential marketing
activities that can be used to take advantage of capabilities and convert weaknesses and threats.
Originality/value – This paper interestingly portrays the effective usage of multicriteria decision making and ranking method to help
marketing manager predict their marketing trend.
Keywords: Marketing mix, Customer satisfaction, Retailing, Benchmarking, Multicriteria decision-making, ELECTRE I method
Type of paper: Research Paper
http://www.upnm.my/
http://www.upnm.my/
2
1. INTRODUCTION
With increasing globalization, local retailers find themselves having to compete with large foreign players
by targeting niche markets. To excel and flaunt as a market leader in an ultramodern era and a globalize
world, the organizations must strive to harvest from its marketing strategies, benchmarking and company
quality policy.
Ranking and selecting projects is a relatively common, yet often difficult task. It is complicated because
there is usually more than one dimension for measuring the impact of each criteria and more than one
decision maker. This paper considers a real application of project selection for the marketing mix element,
using an approach called ELECTRE.
The ELECTRE method has several unique features not found in other solution methods; these are the
concepts of outranking and indifference and preference thresholds. The ELECTRE method applied to the
project selection problem using SPSS (Statistical Package for the Social Sciences) application.
Our contribution is to show the potential of Marketing mix model in deriving a consensus ranking for
benchmarking. According to the feedback from the respondents, we dynamically rank out the best element
to be be.
More on https://highlyscalable.wordpress.com/
Data Mining Problems in Retail is an analytical report that studies how retailers can make sense of their
data by adopting advanced data analysis and optimization techniques that enable automated decision
making in the area of marketing and pricing. The report analyzes dozens of practical case studies and
research reports and presents a systematic view on the problem.
We hope that this article will be useful for data scientists, marketing specialists, and business analysts
who are looking beyond the basic statistical and data mining techniques to build comprehensive
data-driven business optimization processes and solutions.
Machine Learning Trading Strategies_ The New Frontier in Quantitative Finance...Lucas Lagone
ML algorithms (Machine Learning) trading methods are revolutionizing the terrain of quantitative finance, marking a substantial modification in the domain
The reason why should undergo into the arbitrage trading is very simple and its because its risk free investment option. Though it contains certain risk if one fails to follow the protocol define for Arbitrage Trading. Usually Arbitrage is risk free until and unless there is no financial crises.
1. Arndt, 1979, Towards a concept of domesticated markets
2. Jaworski et al, 2000, Market-driven vs. driving markets
3. Day, 1981, Strategic market analysis and definition
4. Caldwell et al, 2005, Promoting competitive markets
This document reviews best practice in pricing processes to provide a reference against which current practices and proposals can be tested. Our objectives have been: to research the attributes of world-class pricing through publications and academic sources; to investigate how these attributes are applied in practice to products and services; to assess pricing processes in successful businesses.
In recent years a new attitude toward pricing has emerged. Deregulation and international free trade agreements have increased competition. Price promotion has eroded the power of brand loyalty. Pricing has assumed greater importance to most businesses.
As markets increasingly assume a global dimension, customers can more easily compare prices between one region or country and another, using the internet or a fax machine. They can often locate the same product, or an
acceptable substitute, from another source. Customers are more demanding and fickle, and their expectations increasingly difficult to fulfil.
Price inflation in western economies is now at its lowest for decades. Price increases are no longer accepted without protest from customers, if at all.
The Chairman of General Electric has predicted the onset of the ‘Value Decade’. Global price competition will strengthen because of: reduced product differentiation; global over-capacity for production; significantly diminished trade barriers; efficient information and distribution systems; providing customers with easy access to the prices of suppliers; a growing lack of customers’ loyalty to individual suppliers. Choice will be increasingly driven by price.
This is a challenging scenario that reinforces the need for an integrated strategy and concerted managerial action on pricing.
Pricing processes have lagged behind developments in the market place. They are often characterised by internal conflict between accountants wishing to maximise profit per unit and marketing specialists who seek to maximise
throughput. They are also affected by the potential for strained relations with good customers.
Some companies have downsized their operations to a level where diminishing returns cause them to question the benefits of continuing to focus upon reducing costs. As they switch their attention from cost cutting to adding
value, pricing naturally assumes increased weight in the marketing mix.
We have found many companies reluctant to discuss their own processes.
Some may wish to avoid betraying a lack of sophistication.
Discussion Week 6 HealthIT Topic of the Week and Impact on PracDustiBuckner14
Discussion
Week 6: HealthIT Topic of the Week and Impact on Practice
What was the HealthIT Topic you selected related to your specialty? Why did you select it? How will this impact your practice?
Scholar 2017-2021
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
Appl. Stochastic Models Bus. Ind., 2005; 21:423–434
Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/asmb.584
Market response models and marketing practice
Dominique M. Hanssens
1,z
, Peter S. H. Leeflang
2,
*
,y
, Dick R. Wittink
2,3,{
1
UCLA Anderson School of Management, U.S.A.
2
Department of Economics, University of Groningen, The Netherlands
3
Yale School of Management, U.S.A.
SUMMARY
Market response models are intended to help scholars and managers understand how consumers
individually and collectively respond to marketing activities, and how competitors interact. Appropriately
estimated effects constitute a basis for improved decision making in marketing. We review the demand and
supply of market response models and we highlight areas of future growth. We discuss two characteristics
that favour model use in practice, viz. the supply of standardized models and the availability of empirical
generalizations.
Marketing as a discipline and market response models as a technology may often not receive top
management attention. In order to have enhanced relevance for senior management, we argue that
marketing models should be cross-functional, include short- and long-term effects, and be considerate of
capital markets. We also identify emerging opportunities for marketing model applications in areas such as
public policy and litigation. Copyright # 2005 John Wiley & Sons, Ltd.
KEY WORDS: market response models; generalizations; standardized models; practice; public policy
decisions; litigation
1. INTRODUCTION
In the past thirty years we have witnessed enormous productivity in model building in
marketing. Models have been developed to advance marketing knowledge and to aid
management decision making. Reviews and discussions of these models appear in Lilien et al.
[1], Leeflang et al. [2], Hanssens et al. [3] and Lilien and Rangaswamy [4].
The fact that there is a great deal of research that advances model building still leaves open
the question of business implementation and strategic impact. While management use of
marketing models is on the rise, we reexamine the question posed by Little [5]: ‘why are so many
models developed but not used?’ We consider this question for an important subset of marketing
Copyright # 2005 John Wiley & Sons, Ltd.
*Correspondence to: Peter S. H. Leeflang, Department of Economics, University of Groningen, P.O. Box 800, 9700 AV
Groningen, The Netherlands.
y
E-mail: [email protected]
z
E-mail: [email protected]
{
Professor Wittink passed away on June 4, 2005.
models, viz. market response models, using a supply and demand perspective. In particular, we
address:
* What is the current state of supp ...
Similar to Supermarket pricing-strategies4995 (1) (20)
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
In the Adani-Hindenburg case, what is SEBI investigating.pptxAdani case
Adani SEBI investigation revealed that the latter had sought information from five foreign jurisdictions concerning the holdings of the firm’s foreign portfolio investors (FPIs) in relation to the alleged violations of the MPS Regulations. Nevertheless, the economic interest of the twelve FPIs based in tax haven jurisdictions still needs to be determined. The Adani Group firms classed these FPIs as public shareholders. According to Hindenburg, FPIs were used to get around regulatory standards.
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
Farman Ayaz Khattak and Ehtesham Matloob are government officials in CTW Counter terrorism wing Islamabad, in Federal Investigation Agency FIA Headquarters. CTW and FIA kidnapped crypto currency owner from Islamabad and snatched 200 Bitcoins those worth of 4 billion rupees in Pakistan currency. There is not Cryptocurrency Regulations in Pakistan & CTW is official dacoit and stealing digital assets from the innocent crypto holders and making fake cases of terrorism to keep them silent.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
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Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Building Your Employer Brand with Social MediaLuanWise
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buy old yahoo accounts buy yahoo accountsSusan Laney
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊