Analytics & Research

Mohammad Anas Wahaj | 24 jul 2024

Online privacy, online advertising, user data analytics and online regulatory policies are issues that continue to be debated regarding internet and online users. Big technology companies, consumer organizations, government regulators and various industry lobbies continue to push their conflicting agendas to influence the internet and its future. Convergence of interests that keep the internet free from manipulation by any particular group or groups is a challenging task. The paramount concern of all parties should ba a focus on keeping the internet safe, free, open and friendly, while at the same time bringing economic benefits to all. The socio-economic balance on the internet with consideration of the needs of all concerned groups should remain paramount while deciding the future. Recent backing out by Google from deprecating cookies from Chrome again brought the influence of big tech, user data privacy and online advertising issues on the forefront. Patrick Roman Gut, senior vice president and head of new business at Adstra, explains these issues and suggests options for the post-cookie internet. He says, '...there will eventually come a day when the Chrome browser no longer supports third-party cookies. Other major browsers like Safari and Firefox already default to cookies off, so no matter when Google finally makes the change, it's clear that the world has entered a post-cookie era. Another way to think about this is as a multi-identifier era, where brands must use multiple tools and tactics to find and understand their customers across online environments.' As advertising landscape continues to be more omnichannel and entrenched in multi-ID world, brands must be prepared to effectively handle the paradigm shift. Mr. Gut says - Advertising still largely relies on cookies, but the open market is a multi-ID space; Effective targeting requires a combination of methodologies (deterministic, probabilistic or contextual); Crosswalk solutions provide effective data management in a multi-ID landscape (Crosswalk solution involves mapping anonymous digital identifiers to personally identifiable information to unify online and offline data for a comprehensive view of customer behaviors); AI enables additional insights and predictions for extended reach and future success. Read on...

DIGIDAY: How advertisers are moving from cookies to a multi-ID landscape
Author: Patrick Roman Gut

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Mohammad Anas Wahaj | 21 jun 2024

Prof. Fadel M. Megahed of Farmer School Information Systems and Analytics (ISA) at Miami University (USA), is the lead author of two papers on artificial intelligence (AI), 'Introducing ChatSQC: Enhancing Statistical Quality Control with Augmented AI' (aug 2023, arxiv.org) (Authors: Fadel M. Megahed of Miami University; Ying-Ju Chen of University of Dayton; Inez Zwetsloot of University of Amsterdam; Sven Knoth of Helmut Schmidt University; Douglas C. Montgomery of Arizona State University; L. Allison Jones-Farmer of Miami University) and 'How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study' (jun 2023, tandfonline.com) (Authors: Fadel M. Megahed of Miami University; Ying-Ju Chen of University of Dayton; Joshua A. Ferris of Miami University; Sven Knoth of Helmut Schmidt University; L. Allison Jones-Farmer of Miami University). He has brought AI into his classroom teaching for business analytics students. He says, 'There was a lot of research that talked about how AI could be used in education, that AI can play many roles in the classroom...As an ISA student, learning to use AI is an emerging skill that would benefit your career. That being said, you should be aware of the limits of such tools: (a) the use of AI tools may not be useful in all applications, so use them with caution; (b) prompt engineering matters, so you will need to craft a good prompt to get higher quality answers; (c) the answers you get may be wrong, e.g., ChatGPT is often confident but wrong; and (d) if you use such a tool in an assignment/exam, you will need to provide your prompt and the AI's answer (which may require tweaking to work correctly).' Regarding the ChatISA tool, Prof. Megahed says, 'I wanted to provide a free tool for students to be more inclusive, a tool where the students' prompts and responses are not used for model training. And I wanted to incorporate state-of-the-art recommendations about context setting and prompt engineering to enhance the outputs our students would get from the same request...Students in my class have mentioned that depending on the instructor, when they have the option to use these AI tools, they use it also for other classes.' Read on...

Miami University FSB News: FSB professor creates AI chatbot to assist business analytics students
Author: NA

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Mohammad Anas Wahaj | 11 jan 2024

According to the research 'Reidentification Risk in Panel Data: Protecting for k-Anonymity' (Authors: Sachin Gupta of Cornell University; Shaobo Li of University of Kansas; Matthew J. Schneider of Drexel University; Yan Yu of University of Cincinnati), published on 07 oct 2022 in Information Systems Research, nearly all market research panel participants are at risk of becoming de-anonymized. The commitment of a market research company towards privacy of panelists cannot be totally practiced as there are ways around it. Prof. Sachin Gupta says, 'When organizations release or share data, they are complying with privacy regulations, which means that they’re suppressing or anonymizing personally identifiable information. And they think that they have now protected the privacy of the individuals that they’re sharing the data about. But that, in fact, may not be true, because data can always be linked with other data.' Earlier research (2006) 'How To Break Anonymity of the Netflix Prize Dataset' (Authors: Arvind Narayanan of Princeton University; Vitaly Shmatikov of Cornell University) showcases the similar risk. Researchers developed a de-anonymization algorithm, Scoreboard-RH, that was able to identify up to 99% of Netflix subscribers by using anonymized information from a 2006 competition, aimed at improving its recommendation service, coupled with publicly available info on Internet Movie Database. Both of these researchs rely on 'quasi-identifiers' or QIDs, which are attributes that are common in both an anonymized dataset and a publicly available dataset, which can be used to link them. The conventional measure of disclosure risk, termed unicity, is the proportion of individuals with unique QIDs in a given dataset; k-anonymity is a popular data privacy model aimed to protect against disclosure risk by reducing the degree of uniqueness of QIDs. Prof. Gupta suggests that even though privacy laws are getting tougher but market researchers will continue to collect and store data, and the challenge of privacy remains. He says, 'The nature of the problem will probably reduce and change, but I don't think it's going away. Read on...

Cornell Chronicle: Protecting identities of panelists in market research
Author: Tom Fleischman

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Mohammad Anas Wahaj | 30 jun 2023

India's ecommerce market is projected to grow to US$ 150-170 billion by 2027. The growth is driven by increasing internet and mobile usage, booming millennial consumer base, and rise in digital payments. Bain & Company’s 'How India Shops Report' indicates that India's online seller base has grown by 35% annually, with approximately 40% of new sellers emerging from tier-2 or smaller cities. Moreover, Indian government's Open Network for Digital Commerce (ONDC) initiative is poised to democratize the ecommerce industry, providing a level playing field for all sellers in terms of product, pricing, reach, and sales. Narinder Mahajan, CEO & cofounder of ODN, says that to gain a competitive advantage in this new environment, sellers from across India will need to think differently and one of the ways to do this is to better understand their customers by leveraging consumer insights and data analytics. Small businesses can utilize analytics and big data to gain valuable insights about consumers that can equip them to tailor strategies effectivcely to reach customers and expand their businesses. This will also help them to compete in better ways with large businesses. As small businesses work with smaller budgets they can't do extensive market research but utlizing many low-cost data analytics solutions they can identify trends and opportunities in the market, allowing them to create new products or services that meet the needs and demands of their customers. Mr. Mahajan suggests other benefits of data analytics for improving ecommerce business - (1) Enhanced inventory planning (2) Personalized customer experiences (3) Targeted promotions (4) Optimal product pricing (5) New market/platform entry (6) Churn reduction. Read on...

Express Computer: Small Retailers in India: How Consumer Insights and Data Analytics are levelling the Playing Field for Ecommerce Success
Author: Narinder Mahajan

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Mohammad Anas Wahaj | 10 dec 2022

Online is a medium that is advantageous to all - sellers and buyers. Digital marketing not only brings benefits to the businesses that implement the strategies but also to the consumers who shop and buy from them. Traditional marketing practices in the technologically advance world fall short on many counts when dealing with customers that are becoming more and more tech savvy and are looking for ease, comfort and satisfaction during their purchase experience. Digital marketing adds and enhances the marketing practices. It expands marketing's reach to the global level at an affordable cost. Digital marketing provides businesses capabilities to effectively measure marketing investments and efforts. With digital marketing companies can precisely reach their target audience and also dynamically shift strategies in response to the changes in markets. Digital marketing not only provide instant connections with target audience and customers but also assists in having continuous interactions and build long term relaionships. Digital marketing involves a combined set of processes that need to be strategically designed to achieve desired results. Digital marketing strategy includes - Online Advertising; Search Engine Optimization (SEO); Search Engine Marketing (SEM); Content Development and Management; Influencer Marketing and more. Even though digital marketing strategies are different for different businesses and need to be customized as per requirement, but there are some common processes and frameworks that can be applied and implemented to ensure the effectiveness of the campaign - Identify Marketing Goals; Solidify Sales Process; Identify and Separately Group Target Customers; Select Marketing Channels; Set Clear Benchmarks and Measure Progress; Provide Relevant Content At Each Stage of Buyer Journey; Adjust and Adapt The Strategy When Needed. As digital marketing is driven by technology and consumer preferences, it continues to evolve. Marketers who want to stay at the top adapt effectively to changes in technologies and consumer behavior. Events like Covid-19 pandemic also bring shifts in business processes and customer needs, and marketers that can handle the change do much better then those who don't. Some of the main marketing themes that will be significant in the realm of digital marketing going forward will include - Multichannel Marketing Hubs; Conversational Marketing; Personalization Engine; Artificial Intelligence and Machine Learning; Consumer Privacy and Consent. Read on...

ilmeps/read: Digital Marketing To Connect, Engage And Serve Customers - Part II
Author: Mohammad Anas Wahaj

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Mohammad Anas Wahaj | 28 aug 2022

Market research analysis is the methodology to understand the target market, customers and competitors. It provides businesses the insights that they can apply to build products and continuously improve them depending on what customers and market needs. This also assist companies to devise effective marketing and selling strategies. Market research analyst is the key human resource in the field of business and their demand is high. According to US Bureau of Labor Statistics the job outlook for the industry is 22%, and the median annual wage is around US$ 64000. There are certain set of qualifications and skills that make a good market research analyst - (1) Getting a business or marketing degree builds the foundation for a successful career. (2) As data is one of the most essential component of market research, it is important to be skilled in sorting, storing and analyzing data. Knowledge of software tools like Excel, Sheets, Tableau etc is needed. (3) Other necessary skills include both technical and soft skills. Analytical skills like critical thinking, problem-solving, data analysis, and logical reasoning are required. Verbal and written communication skills are a must when explaining data in the form of presentations and writing reports. (4) Getting relevant experience while pursuing education in the form of internships help in getting initial placement. Moreover, obtaining specialized market research related degree can pave the way for better placement. (5) Building relevant industry contacts and networking will assist in getting guidance and mentoring and to stay on course for successful career. (6) There are many specialized online courses that can help in honing existing skills and getting new ones. As the field continues to grow and progress taking online courses will assure skill development while staying in the job. Read on...

MakeUseOf: How to Become a Market Research Analyst: The Ultimate Guide
Author: Raji Oluwaniyi

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Mohammad Anas Wahaj | 22 mar 2022

Just like in most businesses, digital in business-to-business (B2B) is transforming customer relationships. Digital transformation is the way forward to succeed in B2B space. According to Michiel Schipperus, CEO of Sana Commerce, mentioned in ITProPortal article 'Why should e-commerce sit at the heart of a business’ digital transformation?' (25 may 2018), 'In a recent survey that we conducted with 300 global B2B organisations, 75% of respondents said that their customers had demanded to buy online, and three quarters of those gave 'ease of online purchasing' as the reason...Our survey found that over half of companies believe that web stores are the most important route to market...our survey found that 63% of organisations have a digital transformation strategy in place...According to our research nearly 70% of companies will use the Internet of Things (IoT) or machine to machine technology to enable automated and/or predictive ordering for customers. While 67% believe that virtual reality will help personalise the B2B buying experience.' Chris Shalchi, President and CEO of Mavecca Group, explains the benefits of digital transformation for B2B businesses and what is required to provide value and meet customer expectations in the highly competitive B2B ecosystem. He provides 4 benefits of transforming to digital-native ecosystem - (1) Managing buyer expectations is easier through digital as more and more customers prefer purchasing online and find it comfortable for subsequent buying. (2) Through right B2B e-commerce software businesses can provide enhanced buyer experience with improved processes and automation. With data and analytics, the knowledge about consumers can help organizations customize buyer experience for better relationships. (3) With digital B2B businesses can develop an automatic cross-sell and up-sell suggestion program to reach existing customers and expand customer base, thus increasing sales. (4) Using data and analytics to enhance decision making is one of the key benefits of digital. With the use of artificial intelligence (AI) and machine learning (ML) that would provide predictive analytics, organizations have better control and enhanced decision-making, resulting in improved processes. As substantial decision-making in B2B purchases happens before a sales person is contacted, B2B businesses can create and deliver engaging content and have an elaborate communications strategy through digital channels for initiating purchase. B2B organizations have to fully understand what their customers want. Aligning of marketing and sales functions, and efficiently using data is important for overall customer-focused digital strategy. Read on...

Forbes: Make Your B2B Business A Digital Business
Author: Chris Shalchi

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Mohammad Anas Wahaj | 28 jan 2022

Internet and technology has been consistently driving the shift in the retail sector processes. COVID-19 pandemic accelerated it and also significantly changed the consumer shopping behavior. According to McKinsey article titled 'The great consumer shift: Ten charts that show how US shopping behavior is changing' (Authors: Tamara Charm, Becca Coggins, Kelsey Robinson, Jamie Wilkie), 75% of US consumers are trying a new shopping behavior during pandemic in response to economic pressures, store closings, and changing priorities. This general change in behavior has also been reflected in a shattering of brand loyalties, with 36% of consumers trying a new product brand and 25% incorporating a new private-label brand. Moreover, most consumers intend to continue this behavior beyond the pandemic-induced crisis. The McKinsey research find 10 key consumer behavior shifts: FLIGHT TO ONLINE (1) Digital shopping is here to stay. (2) Millennials and high-income earners are in the lead when it comes to shopping online; SHOCK TO LOYALTY (3) Consumers are switching brands at unprecedented rates. (4) Brands need to ensure strong availability and also convey value; NEED FOR HYGIENCE TRANSPARENCY (5) US consumers are changing how they shop in response to health and safety concerns; BACK TO BASICS AND VALUE (6) Consumer shopping intent is focused on essentials. (7) Consumers want value for their money - especially in essential categories; RISE OF THE HOMEBODY ECONOMY (8) Americans are changing how they spend their time at home. (9) Americans are concerned about going back to regular activities outside the home; BEHAVIORS VARY BY CONSUMER SEGMENT (10) 'Great consumer shift' trends vary by consumer segment. With high levels of uncertainty and competitiveness in the market, retailers have to apply innovative strategies to retain and gain consumers. Ravi Pratap Maddimsetty, Chief Technology Officer of MobStac (a physical-to-digital experience management solution), suggests use of 'phygital' marketing, a hybrid marketing channel that captures customer data to deliver a personalized experience, and provides three aspects of phygital marketing that retailers must know before integrating it into their marketing strategy - (1) Retailers Can Enhance In-Store Convenience Through Phygital Marketing: 46% of consumers still prefer to shop in person, although 63% of shopping journeys start online; Retailers needs digital infrastructure to integrate online and in-store experience; 87% of shoppers say they would prefer to shop in stores with touchless or robust self-checkout options like QR code technology. (2) Not All Phygital Solutions Maintain the Same Security Standards: Prioritize data security while choosing a phygital solution; Consumers trust retail experience that secures their data; Evaluate the security of your phygital solution through the integration of safe QR code use. (3) Phygital Marketing Drives Customer Engagement With Proximity-Based Tactics: Utilize geofencing to create digital campaigns within a defined physical radius; Geofencing strategy should capture the frequency of customer foot traffic and push out relevant notifications for past customers and potential customers. Phygital delivers enhanced retail experiences and the opportunity to better customer engagement and retention by correctly implementing phygital marketing is growing. Read on...

Total Retail: Phygital Marketing: 3 Things Retailers Should Know About the Newest Marketing Channel
Author: Ravi Pratap Maddimsetty

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Mohammad Anas Wahaj | 20 dec 2021

Marketing focuses on fulfilling customer needs and the process initiates leads and attracts customers. Marketing involves making a connect with prospective customers wherever they are available. According to Chartered Institute of Marketing, 'Marketing is the management process responsible for identifying, anticipating and satisfying customer requirements profitably.' Traditional marketing with outbound methodology involves various channels like newspapers, magazines, television, radio, billboards etc to reach out to prospective customers. It is static and is mainly a one-sided push communication, where these media show to the public what the brands want them to see, without any direct engagement with them. The rise of internet and consumer technologies, with large section of the public connected through computing devices, led marketing processes to evolve. Digital marketing is an evolution of traditional marketing and many foundational concepts are same. Digital marketing with inbound methodology creates brand awareness and promotes business through utilizing digital channels and internet that would include blogs, podcasts, videos, enewsletters, ebooks etc. Digital marketing process is dynamic with two-way communication and reaches out to customers where ever they are available in the digital media and serve them at different stages of their interaction and purchasing journey. Connecting and engaging with customers is not difficult in digital. What is important is how to achieve and maximize value through this engagement to better serve the customer requirements. Success of digital in marketing depends on how well marketers can understand the consumer behavior through technology-enabled interactions and analytics tools and how well they manage those interactions to fulfil consumer needs. Digital marketing channels, powered by internet, create, accelerate, and transmit product and services information and value to consumers, through digital networks. These channels include Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing (SMM), E-mail Marketing, Content Marketing, Affiliate Marketing, Online Public Relations, Display Advertising, In-game Advertisng, Native Advertising, Video Advertising, SMS Marketing etc. Marketers of today and future have to keep pace with technological advancements, stay informed and skilled, and be innovative and creative, to connect, understand, engage, and serve the digitalized modern customer. Digital marketing will continue to evolve, but a balanced and mix approach to traditional and digital marketing would provide better results. Mobile Marketing, Internet of Things (IoT), Analytics, Big Data, 3D Printing, Cloud Computing, Artificial Intelligence, Consumer Neuroscience/Neuro Marketing are some of the most interesting and challenging domains where the future marketers are expected to deliver. Read on...

ilmeps/read: Digital Marketing To Connect, Engage And Serve Customers - Part I
Author: Mohammad Anas Wahaj

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Mohammad Anas Wahaj | 26 sep 2021

Consumer packaged goods (CPG) marketers are looking to boost above-average growth in the COVID-19 pandemic era. The challenges are real and according to McKinsey's latest research 78% of CEOs are now banking on marketing leaders to drive growth. The research study looked at how 860 global executives are prioritizing investments and capabilities that help accelerate growth. The study finds that three elements - creativity, analytics, and purpose - that constitute a 'growth triple play' that provides at least two times the growth of peers who don't invest in all three in tandem. Another McKinsey research based on interviews of CPG marketing and growth executives seeking answers about the new reality found that - to attain extraordinary growth requires more sophisticated, predictive, and customized marketing strategies. New approaches and tools are the need of the times. Even though some basics like broad reach, powerful, resonant storytelling, and creativity are critical, but marketers have to utilize data and analytics at scale to crack the code that enables more targeted and engaging interactions to shape consumer behavior. 2/3rd of CPG companies say they have put data-driven marketing at the top of their agenda [Consumer Analyst Group of New York (CAGNY) 2021 Virtual Conference]. Large number of CPG companies are still not able to fulfil the promise for delivering impact at scale from data-driven marketing. Accoring to another McKinsey research, truly sustainable, marketing-led growth has to be granular, focused, and scaled across the entire marketing organization, delivering the right message to the right consumer, at the right moment, at the right place - all the time. To thrive in this new ara of CPG marketing, companies have to - build a continuously updating, AI-powered consumer-intelligence engine that ingests enough signals and data points to not only identify demand but to predict it; use advanced analytics and marketing technology to recommend high-value actions; learnings from hundreds of tests per week need to feed back into this engine, helping drive rapid decision making and informing adjustments to brand plans, spend allocation, tent-pole campaigns, and always-on activation. This new marketing model will require new kind of talent, new organizational capabilities and midsets and adoption of new technologies. CPGs that would succeed and utilize next-level AI (Artifical Intelligence) consumer-intelligence need to have five essential ingredients to unlock data-driven marketing impact at scale - (1) Opportunity/Demand Identification: A 360-degree view of consumers and pockets of growth, supported by predictive and prescriptive insights. (2) Rapid Activation: Delivering the right message at the right time in moments that matter - and measuring the impact. (3) Martech/Data Enablement: Activating a fit-for-purpose data and tech-enabling customer-centric strategy. (4) Agile Operating Model: The new ways of working needed for an agile, modern, marketing organization. (5) Capacity-building: The talent, culture, and infrastructure required to scale impact. Read on...

McKinsey: The new marketing model for growth: How CPGs can crack the code
Authors: Tiffany Chen, Michele Choi, Jeff Jacobs, Brian Henstorf, Ed See

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Mohammad Anas Wahaj | 20 jan 2021

Forrester's SiriusDecisions 2020 Metrics Study looked at metrics that B2B marketing leaders use on their company's CMO dashboard to manage performance and found valuable insights regarding the state of B2B marketing today and provides a perspective on how successful companies focus on performance measurement. HIGHLIGHTS OF THE STUDY - (1) Leadership Attention Is Precious: On average, 8 metrics on the dashboards need consistent review, emphasizing to focus on metrics that summarize marketing's value. Prioritize metrics that highlight marketing's performance against key growth strategies. (2) Sourcing Metrics Continue To Dominate: Marketing-sourced revenue and marketing-sourced pipeline are two most commonly focused metrics, emphasizing that marketing organizations are utilizing more energy to manage their ability to sources net-new opportunities. But sourcing isn't well aligned with many of the go-to-market strategies B2B organizations are embracing. With declining sourcing rates across the industry there is a need for marketing leaders to quickly diversify the metrics they use to more comprehensively capture the contribution of their function. (3) CMOs Aren't Emphasizing Lead Metrics: Less than a quarter of organizations focus on lead volumes and conversion rates. The concern is that these metrics exist within top 10 metrics used at B2B organizations, but these metrics drop out of top 10 for organizations with high rates of revenue growth (greater than 10%/year). (4) High-Growth Companies Focus More On The Customer Lifecycle: Low-growth companies (less than 5%/year) emphasize more on measuring demand metrics but high-growth ones focus on metrics that describe value created during the customer lifecycle (e.g., retention rates, customer lifetime value, customer satisfaction, customer advocacy). (5) Top Performers Are Minding Cost Efficiency: At high-performance companies customer acquisition costs and cost of efficiency of demand generation were used on 27% and 23% respectively, while only 5% and 9% for low-growth ones. This points out at the need for marketing organizations to utilize the resources entrusted to them most efficiently to be accountable contributors to growth. Read on...

Forrester: What B2B Marketing Leaders Are Measuring: Five Key Takeaways
Author: Ross Graber

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Mohammad Anas Wahaj | 28 dec 2020

Logos are a brief visual representaion of the organizational identity and help differentiate them from each other. They assist to instantly recognize brands and over a period of time can become one of the most important component of their identity. Traditionally, organizations utilize the services of graphic designers to get their logos and the process has artistic and creative orientation. But now powered with technologies like artificial intelligence (AI), there are online logo design software tools that can design logos instantly once some specifications are submitted. These tools also provide editing and customization features. Technology is transforming the creative field of logo design into a more scientific one. Research paper, 'Letting Logos Speak: Leveraging Multiview Representation Learning for Data-Driven Logo Design' (SSRN, 25 nov 2019) (Authors: Ryan Dew of Wharton School at the University of Pennsylvania, Asim M. Ansari of Columbia Business School at the Columbia University, Olivier Toubia of Columbia Business School at the Columbia University), proposes a more data-driven approach to logo design in which the authors developed a 'logo feature extraction algorithm' that uses modern image processing tools to break a company's logo into many visual constituent parts like font, color scheme, and many other meaningful features, and a multiview representation learning framework that links the visual components to text that describes the company like industry, value propositions etc. Researchers then applied this framework to a large amount of data available on companies to predict their logo features. Prof. Ryan Dew explains, 'There are things that data and models can say about the design process that can help firms develop brand identities - visual brand identities that are doing the right things for them...we looked at hundreds of different logos, and we also looked at a bunch of textual data describing these firms - taken mostly from the firms' websites. And we also got consumers to react to these logos and the textual descriptions by rating these firms according to what's called a 'brand personality scale'...we developed an algorithm that lets us work with logos as a source of data. We call this our 'logo feature extraction algorithm'...and then we also have all this text, which can be anything...It conveys what the firm does and what their brand is...The idea is, we want to link these two domains to try to get the words to describe what the logo is trying to say. Let the logo speak. Conversely, this is actually how the design process works. You start with a textual blurb describing - 'This is what my brand is. This is what my firm does'. And then you go from that to a logo — to a logo template. This is where the concept of data-driven design comes in. We both, in the first sense, are able to use text to understand logos, but in the second sense, we're able to go from text to new logo templates that will let firms develop logos that are consistent with their brand identities...a more fundamental thing that the current paper can address is this idea of coming up with the 'right template' to convey what you want to convey visually. That is, in some sense, firms should be a little cautious when they're designing logos...understanding these templates and having this model of data-driven design can help with the creative process, to come up with new redesigns or new logos that will excel.' Read on...

Knowledge@Wharton: Why a Data-driven Approach Can Enhance the Art of Logo Design
Author: NA

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Mohammad Anas Wahaj | 20 dec 2020

Organizations now have large amount of data available to them, but the challenge is to obtain actionable insights by using right data analytics tools and processes that help in making right organizational decisions. Data-driven decision-making has become a common practice with organizations trying to find purpose for the data. But it is not necessary that all analytics processes answer the right questions and it's also not a safeguard against the influence of preexisting beliefs and incentives. Prof. Bart de Langhe of Esade - Ramon Llull University (Spain) and Prof. Stefano Puntoni of Rotterdam School of Management at Erasmus University (Netherlands) propose a new approach termed as 'decision-driven data analytics' - 'Find data for a purpose, instead of finding a purpose for data.' They explain, 'Data-driven decision-making anchors on available data. This often leads decision makers to focus on the wrong question. Decision-driven data analytics starts from a proper definition of the decision that needs to be made and the data that is needed to make that decision...Data-driven decision-making empowers data providers and data scientists. The risk is that decision makers take data that is consistent with their preexisting beliefs at face value.' Elaborating their approach, they say, 'To move to a decision-driven data analytics approach, a company must start by identifying the business’s key decisions and the people who make them, and finding data for a purpose rather than finding a purpose for the data at hand.' Data-driven Data Analytics (Anchor on data that is available; Find a purpose for data; Start from what is known; Empower data scientists). Decision-driven Data Analytics (Anchor on a decision to be made; Find data for a purpose; Start from what is unknown; Empower decision makers). To allay fears of executives who might confuse decision-driven approach with preference-driven data analytics (where decision makers use data to support a decision that has already been made and fall prey to confirmation bias), authors suggest leaders to take three important steps - Step I: Responsibility of decision makers to form a narrow consideration set of alternative courses of action. Step II: Joint responsibility of decision makers and data scientists to identify the data needed to figure out which course of action is best. Step III: Choose the best course of action. Read on...

MIT Sloan Management Review: Leading With Decision-Driven Data Analytics
Authors: Bart de Langhe, Stefano Puntoni

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Mohammad Anas Wahaj | 26 jul 2020

For B2B marketing effectiveness segmentation is a reliable strategic tool. But with evolving B2B e-commerce marketplace traditional broad macrosegmentation may not suffice. According to the report, 'Microsegmentation Yields Contextual Customer Experiences That Convert' by Lori Wizdo (VP and principal analyst for B2B marketing at Forrester Research) with Caroline Robertson, Aldila Yunus and Kara Hartig, to fulfil the growing customer demand for more contextually relevant shopping experiences, B2B marketers should leverage new data and analytics tools and strategies to fine-tune macrosegmented audiences into microsegments. The report says that new data and analytics capabilities now allow B2B marketers to break macrosegmentation, that places audiences into large demographic groups such as company size, industry, geography and the end market served, down further into microsegments - covering, in addition to demographics, such criteria as customer buying behavior, record of sales growth, price sensitivity and aspirations - which allows sellers to reach even more targeted audiences. The report further says, '68% of buyers say it is important that vendors provide relevant content at each stage of their buying journey without having to rely on sales reps to deliver it. By targeting the drivers of customers’ actions, you can build trust through more empathetic, relevant content and accelerate the buyer's journey.' Some of the other valuable points of the report are - Microsegmentation will boost a B2B company's return on its content marketing and inbound strategies by using customer information to customize experiences that persuade and influence specific clusters of customers; Microsegmentation will help B2B companies build a high-yield marketing portfolio; Microsegmentation benefits both the B2B customer and the B2B seller because it results in more relevant shopping experiences for the buyer and increased conversions for the seller. Read on...

DigitalCommer360: How microsegmenting boosts B2B conversion rates
Author: Cate Flahardy

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Mohammad Anas Wahaj | 20 apr 2020

Fake news at the time of crisis like the current COVID-19 pandemic is a double whammy that further adds to confusion and creates panic. Propagation of false and misleading information through social media and other tech platforms has multiplied. It not only exploits the emotional vulnerability of common public but also impedes and hinders the efforts to collectively and scientifically fight the pandemic and minimize its socio-ecomic effects. But an evergrowing group of Indian scientists have come together to create 'Indian Scientists' Response to COVID-19 (ISRC)' that is working to fight false information. It is a pan-India voluntary effort with more than 400 scientists across more than twenty scientific and research institutes in the country. It counts among its volunteers astrophysicists, animal behaviourists, computer scientists, mathematicians, engineers, chemists, biologist, doctors, social scientists and others. The purpose of the group includes analysing all available data and support national, state and local governments for evidence-based action, in addition to verifying and communicating information. There are sub-groups working on - mathematical modelling of disease spread and transmission, outreach and communication in simple terms for the public and media, translating basic resources in local languages, developing hardware solutions and apps. Aniket Sule, a science communicator with the Homi Bhabha Centre for Science Education in Mumbai, says, 'Since science communication is my area of interest, I volunteered to be a part of this effort. In this crisis, everyone has a role and each person can contribute by doing what they know best.' R. Ramanujam, a theoretical computer science professor at the Institute of Mathematical Sciences (IMSc) in Chennai, says, 'While people in the medical and healthcare community are doing their work, we thought, what about others like us, what can we do?' Rahul Siddharthan, a computational biologist at the IMSc, says, 'How an individual gets infected is definitely a biology problem, but what we are looking at is how an infection spreads in society, and we are dealing with large numbers of people. Physicists have a lot of experience in dealing with dynamical systems modelling, differential equations, and computer/data scientists can analyse the data that is available. It has to be an interdisciplinary approach and we need people to be talking and on the same platform.' T. V. Venkateshwaran, senior scientist at Vigyan Prasar, says, 'In a situation like this it's important to do two things, one is communicating to people that they need to be alert, not alarmed...The other thing is falling for wrongly circulated remedies and rumours. We need to counter all the misinformation going around so people feel at ease.' The group is putting together links, videos and articles in Indian languages and also working on translating others. Anindita Bhadra, an animal behaviourist and associate professor at IISER Kolkata, says, 'I am not an expert in virology or epidemiology or modelling, but I am interested in science communication so I thought I should help with that as well as translation. You need people who can transmit all this to the public.' Read on...

World Economic Forum: How 300 Indian scientists are fighting fake news about COVID-19
Author: Bhavya Dore

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Mohammad Anas Wahaj | 27 jan 2020

According to recent ad industry reports large traditional advertising agencies are facing challenging times. Larry Light, CEO of Arcature (a brand consultancy), explains how the existing model of advertising that built the industry is undergoing transformation and how digital technology, changing human behavior, mobile phones etc is changing how brands communicate with customers. He says that if TV is watched in a mute then except for logos the ads of some big name restaurants are indistinguishable. 'This commonality in creativity is illustrated by the use of generic thinking,' he adds. He further explains the use of common phrases in various ad campaigns. He says, 'This kind of brand thinking is a reflection of the overuse of research testing over creativity. Asking consumers to be creative is a certain road to genericization of communication.' He quotes Ryan Reynolds, 'Ads are generally disposable pieces of content,' and comments, 'These advertising greats (David Ogilvy, Bill Bernbach, Mary Wells Lawrence and Phil Dusenberry) would be horrified to learn that advertising has been demoted to disposable, fleeting bits and bytes of single use creations. With the digital advances making short-term marketing spend easier to measure, the marketing focus has shifted away from long-term brand ideas...Advertising messages are now short-lived, disposable throw-aways, meant to capture someone's attention for a moment and then disappear in the ether.' He advocates, 'The primary role of marketing in general, and advertising in particular, is to create, reinforce and increase brand loyalty...Regardless of the small screen digitization of our world, a great advertising campaign can be a key driver for establishing and maintaining brand loyalty. Response to advertising is selective: experience with a brand strongly affects one's response to an ad and advertising can affect one's response to a brand experience. The most important effect of meaningful brand advertising is to build and reinforce brand reputation. Advertising helps to reinforce a customer's personal perceptions of the total brand experience...Brand loyalty is something that grows, slowly and incrementally. A brand can generate clicks and views but not necessarily build brand use or brand loyalty. However, if you are predisposed to a brand, you are more likely to be influenced by the brand messages.' Read on...

Forbes: Advertising As We Know It Is Dead
Author: Larry Light

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Mohammad Anas Wahaj | 10 dec 2019

Customers are at the core of any business. No one can think of products and services without thinking of their buyers. Profits are made with happy customers because they continue to buy products and services from those companies and organizations that keep them satisfied. They also recommend to others what they themselves like. For organizations to become truly customer-centric it is essential to create a customer oriented mindset and at the same time develop procedures and actionable tools to provide best possible customer service. This would also involve continuous training and learning on the part of customer service executives and workers. As the customer behavior changes over time with technologies so should the interactive behavior of customer service personnel to adapt to changing scenarios. But above all, the personnel who deal directly with customers should keep the care of customers in their mind and behavior at all times. Organizations should develop a proper framework for customer service excellence. Read on...

ilmeps/read: From Customer-Centric Mindset To Doing What Customers Want - Finding Ways To Do Customer Service Right And Avoiding What Not To Be Done
Author: Mohammad Anas Wahaj

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Mohammad Anas Wahaj | 29 nov 2019

Traditional market research involves quantitative methods like group surveys or self-reporting to obtain valuable data, but to get the whole story, Prof. Rebecca Rast of marketing department at Missouri State University, has embarked upon a new methodology of research that utilizes iMotion software technology and uses facial expression analysis to develop a deeper understanding into the complexity of human behavior in the marketing field. iMotion technology captures physiological reactions, such as how humans think, feel, act and respond, in real time and helps to quantify engagement and emotional responses. The software can measure seven core emotions: joy, anger, fear, disgust, contempt, sadness and surprise. Prof. Rast says, 'I'm continuing to think of other applications I can use the software for to continue to look at marketing behavior...If I can share it with my students so they understand the outcomes, then I can apply it right back into the classroom when it comes to topics such as consumer behavior.' Read on...

Missouri State News: Understanding consumers through emotion
Author: NA

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Mohammad Anas Wahaj | 18 aug 2019

Startups are enabling tech-based transformation of India's retail sector through Android-based smart PoS (Point of Sale) devices. The promise of these devices goes beyond payments and makes supply chain more efficient with data analytics and potential credit scoring. Vicky Bindra, CEO of Pine Labs, says, 'Retailers and merchants from diverse sectors such as electronics, food and beverage, fashion, pharmacy, telecom, and airlines are adopting the new smart PoS machines to improve their efficiencies and enhance consumer's shopping experience.' Praveen Hari of industry association iSPIRT says, 'Today a smart PoS device is not just accepting cards, but they can also provide UPI (unified payments interface) pull transactions, QR codes (displayed on screens), NFC (near-field communication) transactions, wallet transactions, or basically, any payment mode that is available in India.' Ashish Jhina, co-founder of Jumbotail, says, 'Today smart PoS machines can do four key business functions: payment, billing, inventory management, wholesale procurement.' Smart PoS data is also valuable for credit scoring. Mr. Hari explains, 'The GST data itself is good enough for a lender to make a lending decision and the shopkeeper or his FMCG distributor now has an incentive to report all the transactions. The transaction data itself can help a lender make a lending decision.' Manish Patel, CEO of Mswipe, says, 'We have engineered a credit model where when our merchants can borrow money (to make wholesale purchases) from any of our NBFC partners, based on data we provide...In terms of recollection, the merchant can opt to pay back in daily and monthly instalments.' Read on...

Livemint: Wireless, smart PoS devices revamping India's retail landscape
Author: Salman S. H.

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Mohammad Anas Wahaj | 29 jun 2019

Collecting the right customer data and then understanding it to create usable insights is the key to e-commerce analytics success. But, implementing an effective and efficient analytics strategy and selecting the best tools and solutions from among many that are available in the market is no easy task. Ateeq Ahmad, consultant and founder of Albany Analytics, provides a set of ideas and road map to build an e-commerce analytics solution that would finally be used for predictive analysis. Mr. Ahmad outlines the process flow as - (1) Setting up data collection within current data sources. (2) Merging all data sources into one platform and automate such a collection. (3) Analyzing patterns in these datasets to build reports and dashboards based on KPIs. (4) Based on past behavior of customers, create prescriptive and predictive analytics around key metrics and goals. Data that is collected should include transactional data, social interactions and offline customer data. At the stage of merging all data sources into one central repository there are two possible methodologies - build own data warehouse or buy it from market. Of course, there are trade-offs involved in this selection. The best option seems to be to go initially for an available data merging tool, as it is cost effective, and then once sufficient experience and ROI is obtained graduate to build it in-house. Analyzing data and translating it into valuable business speak that paves the way for data-driven decision making is an essential part of successful analytics implementation. To provide right and timely predictive analyses it is critical to have an analytics team with strong data science expertise. Read on...

Albany Analytics Blog: A Paradigm for Business Intelligence Evolution
Author: Ateeq Ahmad

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Mohammad Anas Wahaj | 09 may 2019

Ad-free environment is an expected reality with subscription-based models, ad blocking tools and alternatives to traditional media already available. Marc Pritchard, chief brand officer at Proctor & Gamble, predicts that we're evolving into a 'world without ads' as brand engagement with customers changes with technology and consumer requirements. Gary Ellis, Co-founder and COO of Remesh, explains how branding will shift and survive in this ad-free environment. He says, 'There are infinite possibilities for filling the void left by traditional advertising. Success will depend on translating traditional advertising insight into new engagement tactics. Advertisers will need to focus on how they can fit themselves organically into their customer's experience, rather than disrupting a customer's experience as is often associated with traditional advertising.' He adds, 'Consider what is central to the brand building experience, which ranges from embedding tech in products to targeted ads. Pritchard predicts an increased desire for personalization, an interest in learning about a brand's values and more brand experiences. This means a brand's ability to connect with people on a human level plays an even more critical role in this new engagement paradigm. An emotional function will serve as the main connector, and one that can come in many forms.' He further explains, 'Targeted advertising is about two things: relevant content and demonstrating comprehension of customer needs. It stems from the desire to be 'helpful' – providing an audience with the information they need so that they can quickly and easily find what they are looking for. In an ad-free world, what were once targeting challenges can be avoided. This means not just focusing on personalization, but context.' Read on...

AdExchanger: How Will Branding Survive In A 'World Without Ads'?
Author: Gary Ellis

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Mohammad Anas Wahaj | 09 apr 2019

According to the recent report 'India Digital Ad-fraud Market 2018' by techARC, the total size of digital ad-fraud in India stood at staggering US$ 1.63 Billion, which is 8.7% of the global size. The report projects 23% increase in digital ad-fraud in 2019. Digital Commerce contributed more than half 51% of the total ad-fraud in India. While, Leisure & Travel (26%), Entertainment & Gaming (13%), Banking & Finance (8%), Healthcare & Pharma (1%) and Others (1%). Although, App Fraud contributes to over 85% of the total digital ad-fraud, the organizations should not ignore the web platforms. Web platforms are more susceptible to frauds as in several organizations the digital teams are primarily focusing on the app, leaving the web space vulnerable. As video is increasingly becoming the preferred medium of content, it is also attracting fraudsters to exploit this advertising channel. The report finds that businesses who have an ad-fraud solution in place are better equipped to have higher levels of customer engagements. Faisal Kawoosa, Founder & Chief Analyst at techARC, says, 'Digital ad-fraud is getting increased attention from the C-level leadership of evolved organisations, where it is no longer an agenda of a CDO or CMO. The impact of digital ad-fraud now goes beyond diminishing the returns on marketing spends and can jeopardize the entire digital transformation journey hampering Brand Equity, Relevance and Positioning among other ramifications.' Read on...

techARC: At $1.63 Billion, India's share in global digital ad-fraud stood at 8.7% in 2018
Author: NA

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Mohammad Anas Wahaj | 03 mar 2019

Scot Henney (GVP of sales at SAP) and Marcus Venth (GVP of market development at SAP) discussed the importance of customer experience in the digital age with John Furrier and Dave Vellante, co-hosts of theCUBE at IBM Think event in San Francisco, US. Mr. Henney says, 'A new customer-experience domain is open up called the "experience economy". It brings the front office and back office together and adds in "experiential data" on end-users.' As more companies shift from products to subscription-based services, customer-experience becomes crucial. Digital provides more power to consumers and ease of switching brands. Customer feedback becomes valuable. According to Mr. Henney, '80% of customers have switched brands because of poor CX (customer experience) and companies that deliver better customer experience have more than 200% more shareholder value.' Mr. Venth adds, 'The 360 customer view that leads to stellar CX is not achieved with applications, data and professionals in silos. One of the biggest challenges we see [is]...where we have a highly customized environment with lots of disparate applications that really are poorly integrated.' Read on...

siliconANGLE: Analytics mine consumer brains in new 'experience economy'
Author: R. Danes

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Mohammad Anas Wahaj | 28 nov 2018

For the success of businesses a solid foundation or strong core is necessary and then only innovative strategies, tactics, programs and technology that are applied will be impactful and bear fruits. Scott Vaughan, CMO of Integrate, suggests the focus on achieving the revenue marketing goals and provides five essentials that high-performing B2B marketing teams consistently focus on to drive high performance - (1) PRECISION - Accurately defining ICP (Ideal Customer Profile) and identifying best account opportunities: Engage the right audiences; Avoid random marketing to general people; Identify smaller group of core audience; Use advanced tech such as predictive marketing and intent data modeling to identify more of the best accounts and buyers. (2) TRUST - Committing to permission-based marketing in an increasingly regulated world: Treat information with care; Ensure the understanding and fulfillment of data-privacy laws; Permission mindset builds trust. (3) HYGIENE - Generating quality, actionable data to drive performance and create experiences: Recent survey by DemandGen Report finds, on average, more than 35% of the data in existing databases is unmarketable. Use effecient data hygiene; Bad data wastes marketing and sales efforts; Audit data-capture processes and sources, and use data governance filters before data enters database. (4) SPEED - Increasing velocity makes everything perform better: Current processes and tech investments need to have a speed evaluation; Identify areas where data can be routed faster and action can be taken within an appropriate time; Watch closely 'pipleline velocity' (Time from when an opportunity identified and finally converted into a deal) (5) INSIGHTS - Measuring to understand the good, the bad and the ugly: High-performing marketing teams use insights with key ingredients like agreed-upon key performance indicators (KPIs), tools that can measure performance, easy-to-use shared dashboards for all stakeholders (marketing, sales, management etc). Read on...

MarTech Today: 5 essential strategies B2B marketers must master in 2019
Author: Scott Vaughan

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Mohammad Anas Wahaj | 26 nov 2018

In today's businesses, digital is one of the critical component that defines their growth and success. With digital and related analytics, organizations can easily track and create insights to better understand consumer behavior for their benefits. Gabriel Shaoolian, founder of DesignRush, provides valuable statistics in marketing, website design and branding for efficient online strategy and subsequent online success - (1) By 2021, mobile e-commerce will account for 54% of all online sales. (2) 38% of users will stop interacting with a website if the layout is unattractive. (3) Long landing pages generate up to 220% more leads than above-the-fold calls to action. (4) Color improves brand recognition by up to 80%. (5) Consistent brand presentation across all platforms increases revenue by up to 23%. (6) 64% of consumers say that shared values help them create a trusted relationship with a brand. (7) Content marketing efforts receive three times the leads per dollar spent than paid search receives. (8) 64% of consumers make a purchase after viewing a branded social video. (9) Facebook Ad revenue in the US will surpass total print ad spending by 2019. (10) Email has a median return on investment of 122%. Moreover, he suggests the following key points to be noted for digital strategy - Create an easy-to-use website that works on all platforms and devices; Design a memorable brand identity that communicates well with consumers; Maintain an honest and transparent relationship with customers; Invest in content marketing and social media advertisements; Test video marketing campaigns to engage users; Don't forget about the power of email marketing. Read on...

Forbes: 10 Marketing, Web Design & Branding Statistics To Help You Prioritize Business Growth Initiatives
Author: Gabriel Shaoolian

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Mohammad Anas Wahaj | 30 oct 2018

When one thinks of marketing, Northwestern University Professor Philip Kotler's name comes right at the top. He is author of the most used marketing texbook in business schools, 'Marketing Management: Analysis, Planning, Implementation and Control', alongwith another 57 books on the subject. Speaking with Paul Talbot, President of a marketing strategy firm Southport Harbour, Prof. Kotler shares his views on the role of CMOs (Chief Marketing Officer) in today's business organizations. Regarding their skills and talents, he says, 'In the 1960s, marketers were hired for their flair for advertising and creativity...Today, we need CMOs with a different skill set. CMOs must be expert at digital marketing...Information and mathematics are crucial. Companies need in-depth information about their customers’ individual beliefs, values, media consumption and channel choices. Marketers today use multiple regression analysis, cluster analysis, discriminant analysis, and predictive analytics to yield customer insight. Marketers increasingly make investments in...social media. CMO has to have good creative marketers on the staff to bring up bright new ideas. The tech approach to marketing is more about efficiency. Marketing creativity and imagination is about winning big.' Regarding collaboration between between marketing teams and others in the organization, he says, 'Back in the 1960s, companies didn’t have a CMO. They had a powerful vice-president of sales who was the driving force. They had added a vice-president of marketing whose job was primarily managing marketing research and preparing advertising and sales promotions...The chief marketing officer concept emerged as markets grew more complex and competitive...who would participate in finding and shaping what the company should produce, in identifying the target markets, and evaluating the overall company strategy...CMOs need to be effective in the following relationships: ...The CMO had to 'carefully' educate the CEO to understand marketing's potential and limitations; ...the CMO and CFO would work together to find and agree on the best way to measure the return on marketing spend; ...I view R&D people to be the masters of what is possible. I view marketers to be the masters of what is valuable; ...If those two executives (CMO and VP of sales) don't get along, the company’s financial performance is doomed.' Read on...

Forbes: Northwestern Professor Philip Kotler On Today's CMO
Author: Paul Talbot

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Mohammad Anas Wahaj | 30 aug 2018

According to experts, effective use of data is key to B2B marketing success as it offers precision targeting, better customer experience and personalization at scale. Bernard Tan, APAC Regional Marketing Director at Red Hat, doesn't consider marketing as just B2B or B2C, but prefers it to be 'business-to-all'. He says, '(Data) is transforming the way that we talk to whole markets...it's transforming the way that we can actually have one-to-one conversations in volume markets, and be much more efficient about the way we go to that market...All of us are consumers...We are now at this position where we are now able to start to drive engagement at an individual level and really focus on the customer.' According to IBM's 2017 Customer Experience Index study, APAC (31) scored lower than other regions when it comes to data-driven customer experience in the B2B space [North America (35), Europe (33) and Latin America (33)]. Jodie Sangster, CMO liaison lead of IBM Watson, says, 'Unfortunately in APAC, we are lagging behind in terms of meeting consumer expectations of how we are using their data and delivering great customer experience.' Read on...

WARC: Data is key for B2B marketers, but APAC lags behind
Author: NA

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Mohammad Anas Wahaj | 29 jul 2018

According to the latest research by Stanford University business academics, Prof. Navdeep Sahni and Prof. Harikesh Nair, people are very good at distinguishing native advertisements from digital content, but the ads still exert significant influence on shopping behavior. Native advertisements blend with the digital content and closely match style and layout of the surrounding media. Regulators are often concerned regarding their deceptive sponsorship disclosure and the resulting misguided purchases by consumers. Prof. Sahni says, 'Native advertising is a relatively new form of advertising. Advertisers and publishers have embraced this because of the rise in mobile browsing behavior, and because banner ads are hard to implement on mobile screens, and are known to be not very effective.' Professors developed a field experiment in which they manipulated how native advertising for specific restaurants appeared on a restaurant search mobile app, creating two 'extreme' ad presentation conditions (no-disclure and prominent-disclosure) to compare to a more typical native ad. The study examined differences in how over 200000 users responded to the varied presentations and found that responses to typical native ads were similar to those in the full-disclosure condition. Prof. Sahni adds, 'We found that people who respond to the ad can spot this kind of advertising in its typical format...The effect of advertising seems to happen through direct exposure and can result in conversion even if people don't click on the ad itself.' The study suggests that because consumers who are more likely to be affected by ads can identify typical native ads easily, making the ads more prominent is unlikely to change people's behavior. For consumers, implications of the study are that even in a time of advanced analytics, ad exposure continues to have a deeply subtle, and thus harder-to-quantify, effect. Read on...

Insights by Stanford Business: Disguised 'Native' Ads Don't Fool Us Anymore
Author: Sachin Waikar

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Mohammad Anas Wahaj | 23 may 2018

Utilizing customer data to understand consumer behavior through analytics tools is key to improve products and services, and finally gain and retain customers. Restaurant and fast food industry is customer intensive with direct interactions with them. Restaurant sales were approximately US$ 800 billion last year and continue to grow. With hightened competition and increasing customer expectations it becomes challenging to serve what customer wants and keeps coming back for more. Advanced analytics can come to the rescue in this regard. Quick Service Restaurant (QSR) industry has low average ticket value, customer visit frequency is higher and cyclical, size of the meal matters and customer tastes don't vary that much. The restaurant industry's main goals remain - increase meal size, increase guest frequency and decrease customer lapsation. In today's environment, customers are digital-savvy and restaurants have their data. The value is in gaining actionable insights from this data that positively impact the Net Promoter Score (NPS). Here is what some restaurant chains are doing in this regard - (1) Identified taste affinity clusters: Created various segements of customers and looked at their past purchase behavior to identify taste preferences. (2) Buying behavior analysis: Looked at purchase behavior across different channels to identify which menu items can be added to the combo for someone that orders (mobile vs visit). Used advanced analytics to get a single view of the customer by integrating their POS, mobile, web and social data to identify the customer and hence provide consistent messaging. (3) NPS and Feedback Analysis: Integrated feedback received across all channels and layered it up with sentiment analysis. Customers were given lapsation score and offers were targeted accordingly. (4) Store location analysis: Used predictive models to identify the probability of a new store succeeding in a specific location vis-à-vis another store in the same area. They identified pockets of demand and the model prescribed a set of potential locations in a given geographic area. This data was used to score and rank comparable locations. Read on...

Analytics India Magazine: Advanced Analytics In The Restaurant Industry
Author: Santosh Kumar

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Mohammad Anas Wahaj | 28 feb 2018

Measurement and analysis of marketing data is becoming critical for understanding the effectiveness of marketing initiatives. The insights help in focusing efforts and money in the right direction. Marketing analytics tools and technologies continue to advance. David Sanderson, CEO of Nugit, explains what will be driving marketing analytics in 2018 and how marketers can keep pace with them - (1) Marketing analysts will need to use many new data sources: Combining data from internal data repositories with other sources like Google Analytics, SEO platform, CRM, Email, Social Media, Chat applications etc will provide better insights that will help to drive consumer interest, optimize pricing, and deliver an improved customer experience. Now analysts must also identify where important data resides, determine what needs to be extracted and devise a strategy for using new data sources to drive business decisions. (2) Artificial Intelligence (AI) will be essential for analytics: Speed of incoming data in large volumes make it difficult for human data analysts to process it effectively. In such a scenario, machine learning and AI tools come to the rescue and help analysts find patterns in customer data, elicit recommendations for optimizing performance, and allow non-professionals to access complicated analytics using simple language. (3) Analysts will become storytellers: Usual data analyst skill like SQL, Excel, business analysis etc, crunching data and making reports will not suffice now. Analysts have to do more - Obtain data from non-traditional sources; Clean data with programming languages such as Python; 'Polish' the data using data visualization tools and create attractive charts and graphs; Transform data into easy-to-understand stories which help non-analysts understand emerging trends and opportunities. Read on...

Econsultancy: The three trends driving marketing analytics in 2018
Author: Jeff Rajeck

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