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Best Foot Forward: Using mobile marketing to drive your SMEs post-covid growth on a shoestring budget | SME10, 06 feb 2021
Streamline Your Data Analysis With Automated Business Analysis | Analytics Insight, 06 feb 2021
Using Integrations to Improve Marketing Processes | Business 2 Community, 05 feb 2021
Does Influencer Marketing Work For E-Commerce? | Forbes, 05 feb 2021
Social media to drive digital advertising growth in 2021: Dentsu | Livemint, 05 feb 2021
Digital shift makes personal branding more valuable than ever: Humberto Herrera | VENTS Magazine, 05 feb 2021
Digital PR: It's About More Than SEO | Business 2 Community, 05 feb 2021
Mukesh Mirchandani: Leadership Strategies That Make Customer Service Delightful | CMSWire, 05 feb 2021
10 practical ways to grow your local business with digital marketing in 2021 | MarketingTech, 04 feb 2021
What To Look For In Social Competitive Intelligence And Brand Analytics Solutions | Forbes, 03 feb 2021
Analytics & Research
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...
What B2B Marketing Leaders Are Measuring: Five Key Takeaways
Author: Ross Graber
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...
Why a Data-driven Approach Can Enhance the Art of Logo Design
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...
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...
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
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...
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...
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...
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...
Wireless, smart PoS devices revamping India's retail landscape
Author: Salman S. H.
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...
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...
How Will Branding Survive In A 'World Without Ads'?
Author: Gary Ellis
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...
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...
Analytics mine consumer brains in new 'experience economy'
Author: R. Danes
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...
5 essential strategies B2B marketers must master in 2019
Author: Scott Vaughan
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...
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...
Northwestern Professor Philip Kotler On Today's CMO
Author: Paul Talbot
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...
Data is key for B2B marketers, but APAC lags behind
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...
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...
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...
The three trends driving marketing analytics in 2018
Author: Jeff Rajeck
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