Categories
Strategy

Is Marketing Today All Digital?

It’s not entirely fair or accurate to say that all marketing today is digital marketing, although it has undoubtedly become a dominant force.

In the ever-evolving landscape of marketing, the rise of digital strategies has transformed the way businesses connect with their audience. Yet, despite the undeniable surge in digital marketing’s popularity, traditional marketing methods continue to hold significant value in a comprehensive marketing plan.

The Enduring Value of Traditional Marketing

Traditional marketing, encompassing print ads, television and radio commercials, billboards, and direct mail, has a longstanding history of effectiveness. One of the most iconic examples is McDonald’s using traditional marketing channels via TV, billboards, and in-store promotions, including tray mats and Happy Meals, to generate footfalls in its massive network of restaurants. This traditional marketing strategy not only boosted sales but also created a personal connection with consumers. This does not mean the world’s No.1 fast-food franchise is not digitalising its marketing, we will talk about that separately.

Another example is the memorable ZooZoo characters created by Vodafone for their TV commercials in India. These ads were not only successful in capturing attention but also became a cultural phenomenon, demonstrating the power of creativity in traditional marketing channels.

Digital Marketing’s Exponential Growth

Digital marketing has seen explosive growth with the advent of the Internet, social media, and mobile devices. It offers precise targeting, real-time analytics, and often lower costs. A notable case study is the American Kennel Club’s content strategy, which increased online traffic by 30%, attracting both new and seasoned dog lovers and resulting in significant content value.

Another success story is Orange France’s campaign utilized AI deepfake technology to superimpose men’s faces onto the bodies of the French women’s soccer team, challenging unconscious bias and sexism in sports. This campaign not only went viral but also highlighted the potential of digital marketing to address social issues and engage with audiences on a deeper level.

Combining Strengths for Maximum Impact

The key to a successful marketing strategy is balancing digital and traditional methods. For instance, Google, a tech giant, still utilizes traditional marketing through billboards and print media to reinforce its brand presence. This blend of approaches allows businesses to leverage the broad reach of traditional media and the targeted precision of digital channels.

Synergising traditional and digital marketing

The debate between digital and traditional marketing is not about choosing one over the other but understanding how each can complement the other to create a robust marketing strategy. By integrating the strengths of both, businesses can craft campaigns that are not only innovative and engaging but also reach a diverse audience across multiple touchpoints.

While digital marketing continues to grow and innovate, traditional marketing remains a vital component of the marketing mix. The future of marketing will likely see an even greater integration of these strategies, working in tandem to achieve the ultimate goal of connecting with consumers in meaningful ways. The evolution of marketing is not a story of replacement but one of adaptation and synergy.


For more insights into effective marketing strategies and real-world examples, explore our resources on traditional and digital marketing approaches.

Categories
Strategy

Top 10 Essential Digital Marketing Skills in 2024 & Where to Learn Them

The year 2024 has ushered in new challenges and opportunities, making it imperative for marketing professionals to stay ahead of the curve. Here, we delve into the top 10 marketing skills crucial for success in this dynamic industry.

1. Data Analytics: The ability to interpret and leverage data is paramount. Marketers must possess the skill to analyze customer data and market trends to make informed decisions. Learning with Google Analytics is an excellent first step to data insights. Also try Clicademy, an innovative platform that opens its internal data analytics dashboard for registered users.

2. Artificial Intelligence (AI) and Machine Learning (ML): These technologies revolutionise marketing automation, enabling personalised customer experiences and more efficient campaign management. Resources for learning include AI and machine learning modules on platforms like Coursera and edX.

3. Video Marketing: TikTok, a dominator as well as a disruptor in this field, is unstoppable. With the increasing consumption of video content, marketers must be adept at creating and optimising videos for various platforms. Resources include video production courses on websites like Udemy and Skillshare.

4. Influencer Marketing: Building relationships with influencers is a powerful way to reach target audiences and drive engagement. You can learn more through case studies and influencer marketing courses online.

5. Content Marketing: Crafting compelling content that resonates with audiences is more important than ever. It’s about telling a brand’s story in a way that adds value to the consumer experience. Resources for learning include content marketing courses on HubSpot Academy.

6. Social Media and Search Engine PPC Advertising: Understanding the nuances of advertising on platforms like Google, Facebook, and Instagram is essential for targeted campaigns and maximizing ROI.

7. Email Marketing: Despite being one of the oldest digital marketing channels, email marketing remains highly effective, especially when personalized and well-segmented. YourPrimer offers a beginner-friendly email marketing course.

8. E-commerce & Social commerce: With online shopping booming, understanding e-commerce is essential. Resources include e-commerce courses on platforms like Shopify Academy and BigCommerce University.

9. Graphic Design: Visual content is more important than ever. Resources include graphic design courses on Adobe Creative Cloud tutorials and Canva’s Design School.

10. SEO and SEM: Search Engine Optimisation and Search Engine Marketing are key for increasing online visibility and driving organic and paid traffic to websites. You can learn these skills through SEO specialization courses on Coursera.

However, the landscape of digital marketing is constantly shifting, and what’s relevant today may evolve tomorrow. Stay informed, stay agile, and keep your skills sharp to thrive in the exciting world of marketing in 2024 and beyond.

Categories
Analytics Web & SEM

Mastering PPC Analytics Without Running a Campaign: A Comprehensive Guide

Pay-per-click (PPC) is an essential building block of Search Engine Marketing on the Internet.

Pay-per-click (PPC) advertising is a crucial aspect of digital marketing that allows businesses to target potential customers through paid ads. However, for those new to the field with a tight budget yet looking to enhance their skills, the question arises: How can one learn PPC analytics without firstly investing in a campaign to work on? This comprehensive guide provides insights and resources to help you gain proficiency in PPC analytics, even without direct campaign management experience.

Understanding the Basics of PPC

Before diving into analytics, it’s essential to grasp the fundamentals of PPC. PPC is a model of Internet marketing in which advertisers pay a fee each time one of their ads is clicked. Essentially, it’s a way of buying visits to your site rather than attempting to earn those visits organically. Understanding the terminology, the structure of campaigns, ad groups, and the importance of keywords is foundational knowledge for PPC analytics.

Online Courses and Certifications

Numerous online courses and certifications are available that can provide structured learning paths for PPC analytics. For instance, the Google Ads Certification is a free program that offers comprehensive training on Google’s advertising platform. Similarly, platforms like Semrush offer PPC Fundamentals Courses, which cover the basics and gradually move to more advanced topics. These courses often include hands-on exercises that simulate campaign management, allowing learners to apply analytical concepts without running a live campaign.

Simulation Tools and Software

Some platforms offer simulation tools that mimic the experience of running a PPC campaign. These simulators allow you to practice setting up campaigns, choosing keywords, writing ad copy, and analyzing hypothetical campaign data. This hands-on approach can be invaluable for understanding the impact of different strategies on campaign performance.

Case Studies and Industry Reports

Analyzing case studies and industry reports can provide real-world examples of successful PPC campaigns. By studying these, you can learn from the successes and failures of others. Look for case studies that include detailed analytics and performance metrics to understand the decision-making process behind the campaigns better.

Blogs and Forums

Blogs and forums are excellent resources for learning from experienced PPC professionals. Many industry experts share their insights, tips, and tricks on blogs, while forums provide a platform for asking questions and engaging in discussions with peers. Reading blogs like the HubSpot Marketing Blog can inform you about the latest trends and best practices in PPC analytics.

Google Analytics for PPC

Google Analytics is a powerful tool for analyzing PPC campaigns. Even if you don’t have your own campaign, you can learn a lot by exploring the features and reports available in Google Analytics. Understanding how to interpret data such as conversion rates, click-through rates, and bounce rates will be beneficial when you eventually manage a campaign.

Clicademy: See the Data Real Time

Clicademy is a unique platform that provides aspiring marketing and data professionals with the opportunity to learn digital analytics using real online data. Users can leverage Clicademy to enhance their PPC analytics skills. Registered members can organise micro-marketing projects and see how the promotional efforts are reflected in the site data.

To Sum Up

Learning PPC analytics without a live campaign is challenging but entirely possible. This guide has provided an overview of the various ways to learn PPC analytics without having a campaign. For those eager to dive deeper into PPC, consider exploring the resources mentioned and actively participating in the digital marketing community. The journey to PPC expertise is ongoing, and every step taken is a valuable addition to your skill set. Join Clicademy. Happy learning!

Categories
Strategy

Top 10 Digital Marketing Trends: What’s New and What Endures in 2024

In the 2024 digital marketing landscape, AI is everything and everywhere. Yet that is just a partial view. Technology and consumer behavioural shifts have elevated digital marketing’s dynamism to a new height. Your Clicademist brings you the top ten digital marketing trends to look out for in 2024. They are mostly the trends that have endured, however, with new directions emerging. 

1 Short-Form Video Content Reigns Supreme

Short-form video content continues to dominate the digital space, with platforms like TikTok, Instagram Reels, and YouTube Shorts leading the charge. The bite-sized format caters to consumers’ dwindling attention spans and provides a creative outlet for brands to express their values and connect with audiences on a more personal level. For instance, a 2022 survey report by Statista revealed that 56% of U.S. consumers bought something based on an ad seen on TikTok.

2 AI and Automation: The New Norm

Artificial Intelligence (AI) and automation have become integral to digital marketing strategies. From chatbots providing customer service to AI-driven content creation, these technologies enhance efficiency and personalisation. Marketers leverage AI to analyse data, predict trends, and make informed decisions.

3 The Rise of Personalization

Personalisation is not just a trend; it’s an expectation. Consumers demand experiences tailored to their preferences; marketers use data analytics to deliver just that. AI algorithms can analyse consumer behaviour to deliver more targeted content. Therefore, personalised email campaigns, product recommendations, and content effectively engage customers. A prime example is Spotify’s Discover Weekly, which uses AI to curate personalised playlists for its users.

4 Privacy-First Marketing and Cookieless Future

With growing concerns over data privacy, marketers are adopting privacy-first strategies. Apple’s App Tracking Transparency feature is a significant move that has impacted how marketers collect data.

What is to look out for next? The digital marketing world is moving towards a cookieless future. Marketers are exploring alternative tracking methods that respect user privacy while providing valuable insights. This shift is prompting a re-evaluation of strategies around data collection and ad targeting.

5 Digital Marketing in the Metaverse

The Metaverse is opening up new avenues for digital marketing. Brands such as Nike and Samsung are creating immersive experiences that allow consumers to interact with products and services in virtual environments. This trend is still in its infancy but holds immense potential for the future of customer engagement.

Believing in future virtual worlds where people interact, work, and play, companies like Facebook (now Meta) are investing heavily in metaverse development. Thankfully, the metaverse is growing.

6 SEO Shifts to UX

Search Engine Optimization (SEO) remains a cornerstone of digital marketing. With the advent of voice search and AI, SEO strategies are evolving. Marketers are focusing on creating high-quality, relevant content that aligns with user intent and leveraging AI to optimize for the ever-changing search algorithms.

Google’s focus on user experience in its ranking algorithm means SEO is now more about providing value to users than just optimising for keywords. The introduction of Core Web Vitals is a testament to this shift. These trends highlight the dynamic nature of digital marketing and the importance of staying up-to-date with the latest developments.

One trend to note is the rise of voice search. With the rise of smart speakers and voice assistants, voice search optimisation has become crucial. Brands like Domino’s Pizza have leveraged this by enabling customers to order pizza through voice commands via Alexa.

7 Social Commerce Expansion

The integration of commerce and social media platforms has transformed how consumers shop. Social commerce simplifies the buying process by allowing users to purchase products directly through social media.

Social media platforms are becoming shopping destinations. Instagram’s Checkout feature allows users to purchase products without leaving the app, streamlining the shopping experience. TikTok Shop disrupts this area and adds to its dynamism. This trend is streamlining the customer journey and opening up new opportunities for brands to drive sales.

8 Influencer Marketing Going Big Yet Micro

Influencer marketing is still a crucial element of digital marketing. Collaborating with influencers who align with a brand’s values can significantly amplify reach and credibility. As consumers seek authenticity, influencers provide a trusted voice that can sway purchasing decisions.

Influencer marketing is shifting towards a focus on micro-influencers and authenticity. Brands like Glossier have thrived by partnering with micro-influencers who genuinely love and use their products.

9. Sustainability in Marketing

   Consumers are increasingly drawn to brands that demonstrate a commitment to sustainability. Patagonia’s marketing strategy, which emphasizes the company’s environmental efforts, has resonated strongly with eco-conscious consumers.

10. Content is Still the King

Content that aligns with a brand’s core values is critical to customer retention. Ben & Jerry’s activism and advocacy are well-reflected in their content, strengthening their brand identity.

Interactive content such as quizzes, polls, and augmented reality (AR) experiences are engaging users in new ways. IKEA’s AR app, which lets users visualize furniture in their homes before purchasing, is a notable case study.

Conclusion

The digital marketing landscape of 2024 is characterized by the adoption of new technologies, a focus on personalization, and a shift towards privacy-conscious practices. To succeed, marketers must remain agile, continuously learning and adapting to these trends. By embracing innovation and prioritizing the customer experience, brands can navigate this complex landscape and emerge victorious.

Categories
Social marketing

10. Tips to improve your Social Media presence

  1. Create new content periodically: each social network has a certain times per week/day sharing needed, follow it. To be consistent in your work, plan a calendar that reminds you when and what to post.
  2. Generate different type of content, so diversify it: videos, texts, pictures; don’t be boring!
  3. Make your content smart: your content should be interactive and interesting, this is because you want to create a community, and to do that people need to be involved.
  4. Use tags that are trending at the moment you post (of course they need to be coherent with your stuff)
  5. Create a link which connect all your social media accounts. (Ex. always write your Instagram, Twitter and Linkedin account link in your Fb description)
  6. Always reply to comments and Direct Messages
  7. Have a look at your competitors: if they are doing good, take some inspiration from them
  8. Use hashtags: people are lazy, the less time it takes to reach something, the more probably people will click on it.
  9. Create a community little by little, so interact and involve people with your content
  10. Be patient! Growing takes time

Categories
Web3

NFT means to dawn consumer marketing on blockchain

Searched for “NFT meaning” in the past week? If not, you are missing a hype. But very likely you have and seen brand names jumping in for NFTs. They included NBA, Louis Vuitton, F1 Racing, Nike, and even Taco Bell.

NFT stands for the non-fungible token running on the blockchain. For a long time, your Clicademist has struggled to find an approachable link between blockchain and marketing. The sudden surge of NFT means it is time for marketers to take blockchain marketing seriously. Read on to know what, why and how.

NFT meaning

NFTs are non-fungible tokens. Fungible is an economic term for things of which any individual part is so alike others that they are mutually exchangeable. For example, on the blockchain, bitcoins are fungible, just like gold is fungible in the physical world. But the NFT can turn a piece of image.jpg on the Internet into a non-fungible asset, just like a golden palace is not easily exchangeable in the land of fairytales.

The magical touch is to stamp a digital property with the “smart contract” to mark its unchangeable ownership that everybody can trace.

With everything becoming more digital, so claims the Ethereum, NFTs provide a solution to add scarcity, uniqueness, and proofs of ownership to almost any assets.

NBA is selling “scarcity”. What is so rare?

Using NFT, NBA Top Shot becomes one of the first big brands to do content marketing on the blockchain. In October 2020, Dapper Labs launched the NBA Top Shot App with the tagline of “Own the best moments from NBA history”. A LeBron James moment of dunk NFT is priced at $213,000. The news says that by the end of February, trading of NBA Top Shot NFTs amounted up to $230 million, with the App still in the Beta version.

The arguments for NFTs are that they make digital properties rare, unique, and, therefore, valuable.

But wait a minute, how can NBA slam dunks be rare and scarce? There are tens of thousands of such moments. If those can be the cases of rarity, then how many rare and scarce moments can Walt Disney dig out of its Vault?

Rarity and scarcity may be true to luxury and exclusive brands. But for mass entertainment and sports brands, there must be something else that matters. That is the ownership mint by the smart contracts.

Smart contracts

Says Investopedia, “A smart contract is a self-executing contract with the terms of the agreement between buyer and seller being directly written into lines of code. The code and the agreements contained therein exist across a distributed, decentralized blockchain network. The code controls the execution, and transactions are trackable and irreversible”.

NFT trading and transactions are a chain of automatic executions of smart contract codes. The smart contracts confirm the transfers of ownership of assets from one to the next person.

Before NFTs, smart contracts were not easily accessible to consumers. One way to experience it was to buy and sell cryptocurrencies. Other forms of smart contracts were for B2B transactions in finance, energy, shipping and transportation industries.

The NFTs move smart contracts much closer to ordinary consumers. The Ethereum presents the cases of NFTs in the following areas. Most of these areas are related to consumer markets.

After the craze, marketing

NFTs at this moment are a craze. Spending $210,000+ to own some bytes of NBA_dunk.mp4 would never make sense. This bubble will burst to put one more creepy stigma on this crypto thing of blockchain.

But in the positive views, the true NFT meaning is to bring the technology of smart contract on the blockchain one step closer to ordinary consumers. This gives brands, especially those with items that need to be owned, unlimited rooms for marketing on the blockchain, which is to become the new Internet of Assets.

Categories
Strategy

How smart, connected products are transforming Elon Musk net worth?

Driven by Tesla, Elon Musk net worth have been a super hot search query. Since a year ago on March 18 2020, Tesla share price has gone up from $71 by 10 folds, making him once the world’s richest man.

Tesla cars exemplify the Internet of Things technology. But how this piece of smart, connected product can generate such an unrivalled fortune? The marketing theorists of competitions and competitive advantages have given the answers.

Thus spoke Porter and Heppelmann

Michael Porter and James Heppelmann wrote in 2014 in Harvard Business Review that the technologies such as IoT have revolutionised old types of products composed solely of mechanical and electrical parts to become complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity.

They used a farmer’s tractor 🚜 in the original version of the infographic adapted below to show the revolution process. The “complex systems” reside in Stage 4.

Smart, connected electric cars using IoT technology drive the auto industry into new boundaries of competitions.

Replacing the tractor with an electric car, we can see that a smart, connected car forms a product system involving at least, but not limited to, manufactured deliverables, energy and maintenance services, plus data and connectivity capabilities.

But neither the Porter & Heppelmann’s tractor nor an electric car would stop at Stage 4. These complex product systems will cruise into Stage 5 – the “system of systems”.

A Tesla car in the near future will be a product system in a larger transportation system. This Transport System must also have a sustaining network of, for example, the GeoData, Energy Supply, and Communications systems.

The automobile industry today is in Stage 4. But stock buyers invest in the future. The rising Elon Musk net worth indicates investor votes of confidence in Stage 5 when Tesla would take an upper hand in competitions.

Change of heart

The two authors also suggest that smart, connected products not only change the competitions within industries. They also redefine industry boundaries in which the competitive dynamics are completely different.

Take another look at the infographic. In stages 1 to 4, the basis of competition shifts from discrete products to product systems.

In Stage 5, the systems of systems link an array of product systems together. Tesla will find itself competing in the broader driverless transportation industry.

Why would it have a competitive upper hand? That’s because automobiles will have a change of hearts to work their brains.

In the stages when auto companies competed on the product level, the internal combustion engines were the heart of cars. Carmakers spent tens of millions to design viable engines to be planted in different models and product lines.

Electric car engines are not that expensive to design and less difficult to build. In electric cars, batteries are the heart. More importantly, for self-driving electric cars in the era of the automated transportation system of systems, data processing and connectivity capabilities will be the brains.

The big tech companies like Tesla are more competent in building the hearts and brains of the new auto industry. They leave the traditional auto brands chasing their taillights from far behind.

American cars great again?

The smart, connected electric cars may rebuild the former glory of the American automobile industry because of the country’s power in the interlinked technology industry systems.

The American cars basked in the glories of the Ford Model T till the 1970s Oil Crisis. After that, global consumer preferences shifted to fuel efficiency. Japanese and German cars were the biggest winners of the shift, beating American peers badly.

But Elon Musk’s Tesla is leading the changes in the competitive landscape. It may eventually disrupt the world order of the auto industry because the smart, connected cars in the future run on the new battery hearts and the data-processing brains.

A new formation of American Big Techs, with Google and Apple in it, is joining the competition by becoming carmakers. They are set to make great American cars, knowing better how to programme the chips in them.

Elon Musk’s net worth today is because of the prospects of Tesla in the new global competitive landscape of tomorrow. It all started with cars becoming smart, connected. The magic of IoT.

Categories
Analytics

Top secrets of digital marketing analytics

Marketing practitioners are in touch with digital analytics all the time. But there are a few secrets in digital marketing analytics that they need to know. Some of these may need the disclosure. Others may just be so common that they are left in blind spots.

Secret 1: Before marketers ask for it, analytics has already started

Analytics relies on data. Creation of data does not wait for marketers’ command to go ahead. Neither do processing and analysis of data. In the era of Big Data, data come from everywhere and all the time. They appear in both quantitative and qualitative forms, structured and unstructured, in big volume or in small batches. Analytics happens in real-time as data emerge, or more precisely when things happen.

For example, when one started to create a campaign plan the first question was always about what the situation was. The description of the situation was a result of some analytics that had taken place before the need to know arose. At this point, the marketer just opened the dashboard to look for some analytics to confirm the situation.

What markets need to do is to treat analytics as an on-going process and know where to hunt for the needed data. This requires them to be sensitive as well as informed. Remember, when Mike Bloomberg asks that everyone else bring data, he knows they should already have them.

Secret 2: The APIs are making all these to happen

When using digital analytics, not knowing about APIs is like opening a website without knowing the Internet. Whereas the analytics dashboards are like websites, the APIs are equivalent to the world-wide-web protocols to enable the exchanges of data and information.

API is the application programming interface, which is a group of computer codes to ask computers to exchange data with other computers. Clicademy has another reading to focus on this topic. Today all digital analytics tools use APIs. Scroll down their websites to read their documentation. Here is an example from Ahrefs about its API offerings.

Marketers do not need to deal with APIs directly, just like website users do not need to know what the www protocols are. However, marketers need to know how to discuss APIs and their capabilities with computer engineering teammates and those in partner companies. They need to have a say in what data are exchanged between the data owners and the fetchers.

Secret 3: What you see is mostly vanity

Pageviews, sessions durations, returning users, new users… how do these metrics matter? Sadly, among the several hundreds of measurements that marketing analytics tools show us, most of them are more for vanity than usefulness.

Not fearing to critically analyse our own data, your Clicademist acknowledges that we are in such a situation said above. We are yet to roll out our search engine marketing programmes, so the hits and views we get are the leaves without connections to the roots. What concerns our most is the sign-up rate, with very few site visitor’s journeys ending at the Goal Page.

Then what is not for vanity? The answer is to choose the correct KPI(s) which should correctly measure the current marketing performances of your organisation. Once set, the KPI metrics are the analytics that is useful. Others are just good to have but non-essential. For example, the current performance for Clicademy hinges on building site traffic and signing up members. The visitor-to-member conversion rate, measured by the visits to the Goal Page versus the total traffic is our focus.

Secret 4: Analytics are most useful when helping to create solutions to digital marketing problems

Good numbers and upgoing darts just tell a partial story. Digital analytics is more useful when it shows problems. Being able to see these problems and to make difficult choices to solve these problems make a good decision-maker.

Marketers constantly need to set objectives. After doing this many times enough, setting marketing objectives becomes the second nature. Digital analytics enables the so-called data-driven objectives. Marketing managers should build it into a habit to consider setting marketing objectives means to solve some problems. And they are able to see the problems because of analytics data.

It is a tough call when faced with the choice of to see problems or to see vanity from data analytics. So when next time your boss asked you to bring data, would you bring in problems or good news?

Categories
Strategy

This tells differences between digital and traditional marketing

Let’s call the marketing before social media and Web 2.0 “traditional” marketing. Afterwards, there is this new digital marketing. The differences between the two are obvious, but hard to tell because of two reasons.

Hard to tell the differences

There may be no difference at all, primarily because of the strong inclusive and dependent relationships between the two. Digital marketing is a component of traditional marketing. It still uses the same systems, process, and strategies. Digital marketers use traditional marketing methods, such as segmentation, targeting, and positioning, to enable their practices. The new digital capabilities have not yet demonstrated their power to disrupt this profession.

Another factor complicates the differentiation. Marketing is becoming digital. The traditional practices are moving towards technology and digital platforms. Today a marketer inevitably thinks of digital marketing to kick off any campaign planning. Consumers feel the existence of brands more via digital channels than by physical connections. If digital marketing is taking over the whole marketing, what is the point to tell the differences?

The touchpoints

Trying to differentiate digital and traditional marketing by examining their mutual relationships leads to nowhere. But looking at their relationships with consumers instantly provides a solution. The solution lies in the consumer touchpoints that both digital and traditional marketing have to work on.

The consumer touchpoint is a cornerstone concept for understanding digital marketing. Scott Brinker, who produces the Chief Marketing Technologist Blog argues that touchpoints make this new marketing different.

In short, consumer touchpoints are where consumers and brands make contact with each other. Both sides could and would initiate the contacts, but businesses are generally more proactive.

There used to be mostly physical touchpoints. The traditional marketing mastered the skills to create and manage them. Stores and shops are prominent examples of such. McDonald’s restaurants counted customer footfalls as their most important performance indicators. But in the digital age, they have many more to number.

A picture is worth a thousand words

A search for “consumer touchpoints” online always lead to the featured image of above in various versions. This one is from Orderhive. It showcases the consumer touchpoints along the five-step buying process. Above the buying process bar in the centre of the picture are the touchpoints that digital marketing manages. Below the bar are the traditional yet still essential physical touchpoints.

This image shows the fundamental difference between digital and traditional marketing. That is the digital technology has created numerous new touchpoints for brands to engage with consumers.

Digital touchpoints are significant firstly they outnumber the physical ones. In this infographic by ratio of 13:8. The proportion in the reality can be even more skewed as marketers are upgrading traditional physical touchpoints such as direct mail and call centres into digital types.

The second significance of the increased number of touchpoints is the extended customer journey with brands. For example, Clicademy recently added an email newsletter service as an additional touchpoint with our users. Such extensions provide more opportunities for customer engagements and consumer experience enhancement, provided that marketers do the right things.

The third and most important significance of having more touchpoints is the possibilities for greater customer lifetime value (CLV), which is the revenues a customer may contribute during the period of relationships with brands. Digital touchpoints such as websites all aim at becoming the conversion points to transform prospect consumers into paying customers.

Busier marketers

This differentiation of marketing by consumer touchpoints relates to all marketers because there is simply more work to do. The new touchpoints are compelling reasons for marketers to make critical decisions on each of them. In addition, they need to constantly consider making more difficult choices of whether to keep or upgrade the traditional ones. Closures of high street shop fronts are not only due to dire financial ramifications but the responses to consumer’s choices of and preferences to digital touchpoints.

Last week in Analytics (v1.1)

Clicademy receives every week the website engagement summary from Analytify, which is our analytics aggregator. The summary provides nine metrics to measure our site traffic performance. Visit our real data Dashboard to access much more Analytics data.

We are still an infant website but had a week of growth from Feb 1 to 8, 2021. Six of the nine metrics went up, compared with only three rising in the previous week. The graph below provides a snapshot.

What did we do?

We are still in the stage of building the site. The publicity effort is minimum. Internally we let the site be in the “primitive organic” status. However, a few small things we did seemed to have increased the traffic.

Firstly we took down the sign-up “paywall” to the Insight blogs, which carries articles in digital marketing analytics and technology. We also gave the site a new home page. The first updates from the server room have the details.

Secondly, we launched a Clicademy page on LinkedIn to get close to our target audiences who are learning professionals and students in marketing. Some small-scale promotion took place on LinkedIn. The page acquired 7 followers out of 12 unique visitors, registering a 58% conversion rate. LinkedIn and other social media will provide our members with much more analytics data. We are developing technology solutions to automate the reporting of the data. Members, please stay tuned.

Thirdly we direct-marketed to about 30 digital marketing students in a UK university.

Worrying Analytics

Higher bounce rate, shorter average time on site, and fewer new sessions indicate that Clicademy lost some traction with users’ eyeballs. We think the reason was that our data Dashboard because inaccessible for a few days. We corrected the problem by fixing some bugs with our membership plug-in.

What is more worrying is that we have a very low conversion rate of visitors to registered members. We are yet to find out why. We hope to see better results in next week analytics.

Help needed

Clicademy opens up its traffic data and publishes blogs to help students and new practitioners to learn digital analytics for marketing and martech. Please sign up to access the free and real online data. You can also help us by leaving your comments and feedbacks in the comment area.

Categories
Strategy

To clear confusions about marketing technology, use this guide

Marketing technology can be confusing because there is too much. A marketer with a Swiss-based sports federation recently told your Clicademist that she had to learn to use Figma, Miro, and Notion in the past few weeks, thanks to her new agency’s preferences. She confessed being an Office 365 user, she had not heard of any of these productivity tools weeks before.

The famous Marketing Technology Landscape infographics at its 2020 edition, has been struggling to be more informative than intimidating. All people can see is an agglomeration of logos to represent 8,000 plus technologies.

The problems of marketing technology

The rapidly growing multitude is one of the problems. Categorising the technology items as in the diagram below helps. But deep diving in even the smallest group of 601 Management solutions would not be practical.

Martech Category Growth 2019-2020
Marketing technology solutions 2020 categorised by chiefmartec.com. Click here for source.

The bigger problem lies in the interconnections between the technologies that every marketer deals with daily. There are at least three levels of connections. On the macro level are the technologies that come into our world. Next are the technologies as products and services provided by various companies and the competitors. On the operational level are the marketing technologies.

Your Clicademist uses the infographic below to demonstrate these relationships. The two moons stand for the marketing technologies in question.

There are three levels of interconnected relationships between technologies in marketing.

But imagine a star system with 8,000 and growing number of moons? No infographic can draw this massive scale of interconnections. We need a simpler solution to understand the relationships better.

Impacts of technology in marketing

Thankfully, we found the solution from the academians. George Day of the Wharton School of the University of Pennsylvania in a 2018 writing listed several technological forces that transform marketing. Three of those are particularly useful to guide people through the marketing technology maize.

We found a pattern of the marketing technology landscape by focusing on the impacts and leaving aside the issue of multitude. Let us examine these three impacts.

First, new ways of understanding and connecting with customers

Technology expanded marketers’ connections with consumers and clients. Social media alone have enabled such connectivity on a massive scale. The connectivity in turn has enabled data exchange. The data result in analytics to generate customer insights. The Clicademy data dashboard is such a prototype example.

Technology has also created more marketing touchpoints for businesses to engage with customers. These touchpoints provide connections for marketers to use some of those 8,000 technological solutions to engage customers with advertising and promotion, content and experience, and social relationships.

Second, advances in decision tools

Data and management categories of the marketing technology solutions embody this type of impacts. Marketing managers have always relied on data to make choices and solve problems. The differences today are the amount of data, the process of analysis, and the growing reliance on data.

Marketers also increasingly rely on technology to make and implement decisions. Human beings delegate this responsibility to computers. Automation is set to further disrupt the marketing industry in the days to come.

Third, new capabilities and competitors

This type of impacts is most exciting. A few years ago nobody would imagine the Apple Inc. to challenge BMW and Mercedes in the business of driverless cars. The creator of Amazon is compet IMG against the creator of some electric cars in an outer space race.

Technology brings new products and services to change companies’ business scopes as well as how people work. The cloud computing technology has brought about the three new tools which the Swiss sports federation manager has to work with. Those productivity tools are also commercial SaaS products.

Seeing these three impacts guides us to understand the myriad of technology in marketing. The first two have resulted in the marketing technology stacks used by the practitioners. These martech stacks are only to keep growing with the unstoppable third impact.

Categories
Strategy

Five things you must know about API in digital marketing

Over the past few years, the API has become a common digital marketing term. But marketers do not seem to take ownership of it, leaving it exclusively in the IT rooms. This is not right.

There are five things that every digital marketer today needs to know about APIs. So that they can take a proactive approach to command and use APIs in digital marketing.

First, what does API do?

We live in a world today with connected computers. These computers run applications, just like your phone runs the Apps. API stands for the “application programming interface”. It is a set of programming codes to tell the Apps to exchange data with each other in a controlled manner.

A common analogy is to compare APIs to restaurant service as this MuleSoft video does. Another example is that hotel marketplaces such as the Booking.com uses APIs to enable room providers (hotels and individual BandB owners) to share inventory and pricing in real-time.

Marketers can see the APIs as software that automatically collects data from other companies’ databases provided that the other companies also use APIs to allow such data accesses. With mutual consents, companies use APIs to let their computers talk to each other and exchange digital data.

Second, APIs share crucial data in business ecosystems

Why do companies want to and need to share data? It is because companies nowadays need to build business ecosystems in which partnerships are vital. Data owners need to give limited data access to clients, suppliers, and agents, to name a few. For social organisations and governments, automation in legitimate data sharing with the public is an obligation.

APIs are mainly business-to-business data exchange programmes. They are functionalities written into digital applications, therefore, has an indirect relationship with consumers. Consumers never download and install an API. Rather, they use applications with APIs running behind the scene.

Partly because APIs do not face consumers directly and partly because they are computer codes, marketers have not assumed responsibilities for them. This needs to change. Today advertising managers reselling Google, Facebook, Instagram, LinkedIn, MailChimp inventories must take a look at these platforms’ API development documentations to at least have an idea about the next point.

Third, what data are exchanged?

The short answer is all kinds of data. But two types are more relevant to marketing than others.

The first type is about the capabilities of the systems. For example, marketplace and advertising websites use APIs to manage transactions with advert agencies. Video hosting platforms allow developer APIs to detect the system and content specifications. YouTube provides API references and snippets for websites to embed videos and to track and control the playbacks.

YouTube embed and API reference
Video sharing sites like YouTube uses APIs for video embedding.

Another type is the performance data for analytics and consumer insights. Google and Bing analytics provides all developers with API accesses. Clicademy chooses to use Analytify to use the API access to create our site’s traffic dashboard with real-time Google Analytics data for registered members to view.

The scope of data access and exchange depends on the data owner’s need to build the business ecosystem. Data owners decide what and how much data to share. The data fetchers may have various level of bargaining power to request specific accesses.

Marketers must be aware that when it comes to accessing and sharing consumer data, ethics become a matter of concern.

Fourth, how should digital marketing staff take ownership of API?

Marketers do not have to be all capable. Coding APIs is an IT engineer’s job. Marketers should work with a team of software coders and involve themselves in deciding what data are needed and for what purposes.

It makes sense to advise marketers on how not to work with the IT developers. Please do not just ask them what are possible and available. This question is OK if you are asking them to help you choose between a Mac or Windows laptop. But when it comes to APIs, the answer will be a long list of technical possibilities, of which 90% are incomprehensible for laypersons. So your IT colleagues would respond to you with a more pointed question, “what do you need?” If you could not answer this question, a chicken-and-egg chase would start.

Marketers should command and use APIs as technological tools to assist decision making. They should ask for the API functionalities based on the need for insights and the decisions to make. If marketers are clear about their data needs, they are in the position to own the APIs created to serve those needs.

Fifth, how can you start to learn digital marketing API?

It would be difficult if you have never seen a digital marketing API in action. To use an API-enabled application would be the best way to learn the technology about its capabilities and results.

For this purpose, Clicademy recommends TAGS, which stands for a Twitter Archiving Google Sheet application created by Martin Hawksey, a learning technologist from Edinburg, Scotland.

TAGS uses Twitter API access to collect data from the social network and present the data in Google sheets. Digital marketing learners should try this application to get the first-hand experience of API-enabled social data collection and analysis.

Please register with Clicademy and subscribe our email newsletters to stay tuned for our future discussions on using TAGS as one of the first steps of learning digital analytics for marketing.

Categories
Analytics

Functions of digital analytics: sighting & solving problems

Digital marketing analytics solves problems. Even if all things go well, there is still a problem – how to do better? It is a constant battle for decision-makers to compete either against some rivals or themselves. Therefore Davenport and his co-authors argued 15 years ago that high-performing enterprises built their competitive strategies around data-driven insights and the resulting decisions.

Four functions

Digital analytics provide the functions for marketers to see problems and make decisions upon them. Specifically, the functions are of four types which are to report, explain, predict, and recommend.

These four functions follow a data analytics progression from describing the problems to the final step of recommending optimal solutions. In their 2019 book chapter, Prachi S. Deshpande, Subhash C. Sharma, and Sateesh K. Peddoju illustrated the information-to-optimisation progression. The figure below is an adaptation of their discussions.

Digital marketing analytics functions and types
Caption: Digital analytics and types (adapted from Predictive and Prescriptive Analytics in Big-data Era)

Digital analytics, according to the figure above, provides the sighting of the marketing problems in a sequence of hindsight, insight, and foresight. The ultimate purpose of the four functions is to optimise marketing value creation.

Corresponding to the four functions to report, explain, predict, and recommend are the well-known four types of digital analytics.

Descriptive analytics for reporting “what”

Descriptive analytics analyses data to tell what happened. It is generally the initial stage of data sighting. Since the data are about what already happened, the analysis creates hindsight.

The descriptive analytics mainly concentrated on “what” with the help of classification, clustering and segmentation of the data to discover patterns such as the central tendencies.

For such an example, Clicademy provides a data dashboard.

Diagnostic analytics for explaining “why”

The function of explanations using diagnostic analytics starts to create insights about why something happened. More complex analysis, often aided by computing power and algorithm, look for relationships between variables. This is the stage for the machine to learn about the patterns. However, the insights are still hindsight as of now.

Users of the diagnostic analytics need to be careful when taking the “why” as the causal explanation. It often requires controlled experiments to find out what caused what. More often, relationships between tested variables are correlations. Most A/B testings suggest correlations and associations between dependent and independent variables.

Predictive analytics for “so what”

Predictive analytics answers what is going to happen. Based on data patterns, analytics forecasts what will result from the predicted relationships between variables using regressions, simulations, and scenarios. This is the moment of “so what”.

Perhaps one of the most commonly predicted is how the current Covid-19 crisis will develop to affect every marketer in the world. Now the job is becoming more complex with the addition of a new deadly variable — the variants of the virus. It is the worst of the times for marketing, but one of the best times to see how predictive analytics works.

Prescriptive analytics for recommending “how”

Prescriptive analytics answers how to make the predictions to happen. This is the stage of decision-making. There should be a clear division of labour between algorithm and marketers. Computers are responsible for recommendations. Marketers make so-called data-driven decisions.

So this is the stage where marketers make the call. Analytics can point out the opportunities and even recommend how to take them. It is not that easy, though, to just follow the recommendations. It requires human judgement.

Conclusion

The digital analytics provides marketers with the functions to report, explain, and predict the problems and then recommend solutions. The time-reliant and increasingly automated sequences involve the four types of descriptive, diagnostic, predictive, and prescriptive analytics to inform marketers to make optimisation decisions.

Categories
Analytics

Why and how digital marketing analytics are useful?

From pie charts to today’s dashboards everywhere, marketers cannot work without analytics. Marketing analytics have been in stay for decades. Digital analytics, however, has been the mainstream in recent years as everything goes online and digitalised. It has almost become a stand-alone craft.

Digital analytics gains the prominence largely due to the multitudes of the data and formats. In the good old days, a spreadsheet was sufficient to carry a company’s analytics. But in the digital era, a company’s analytics profile is complex. Website analytics alone using Google would have more than 200 metrics. What makes the situation more interesting is the speed of data creation and collection. Everything happens in real-time and a blink of eyes.

Despite the Four Vs of Big Data, digital analytics for marketing still falls in the realm of marketing analytics. This blog discusses the roles of digital analytics play in marketing to be useful for organisations. The roles are pretty straightforward.

In their famous Key Marketing Metrics book, Farris, Bendle, Pfeifer & Reibstein (2017) wrote,

Today marketers must understand their addressable markets quantitatively. They must measure new opportunities and the investment needed to realise them. Marketers must quantify the value of products, customers and distribution channels— all under various pricing and promotional scenarios. Increasingly, marketers are held accountable for the financial ramifications of their decisions. (p.2)

They summarised marketing metrics’ roles in organisations are to assess opportunities, performances, and accountability. But do not forget about risks.

Opportunities and risks

Digital analytics measures data collected internally and externally of organisations. Externally, the focus is mainly on consumers and competitions.

Consumer data enables businesses to understand consumer attitude and behaviours. Marketing decisions follow to engage and convert consumers into customers. The analytics work does not stop at monetising the insights. It continues to advise the efforts of customer relationship management.

Marketing analytics also help businesses manage risks. Social media monitoring is a common practice for firms to detect consumer sentiment. All social monitoring dashboards nowadays attempt to measure consumer sentiments to brands. A negative sentiment score would alert marketers to find issues and prevent them from becoming problems.

The ultimate purpose of identifying and measuring opportunities and risks is to set consequent marketing objectives, which are decisions to either take the opportunities or to walk around the risks.

Performances

Analytics measure how much results marketers have delivered. It is perhaps the biggest role that marketing analytics plays. Therefore the term KPI (key performance indicator) appears everywhere.

Monitoring performances relies mostly on internal data, for example, sales, revenue, and profit margin. Organisations tend to guard such data tightly unless they have to disclose, for example, the regular investor reports. Competitors crave for rival’s performance data. Marketing researchers and analyst value such data with the same level of interest.

Therefore it is unique for Clicademy to disclose its website performance data to assist the member’s learning of marketing analytics.

Performance data are significant by themselves. But they are even more meaningful when examined against objectives. This leads to the next role that analytics played.

Accountability

Effective marketers deliver performances that meet or exceed objectives. Marketing objectives must be aligned with businesses’ ultimate objective which is to be profitable. In the old days when marketing was a side-kick of the sales function, marketing constantly needed to justify its expenses.

The contemporary definition puts marketing management in the central and ubiquitous position of a firms’ value creation and exchange with customers and other stakeholders. This does not alleviate marketers’ accountability to the financial ramifications of their decisions. What has been changed is the scope of the marketing objectives. They are no longer only to the quantifiable contributions to the sales numbers. Meeting the qualitative value creation and exchanges objectives, for example, managing a firm’s social citizenship, can also justify marketers’ accountabilities.  

Down to the objectives

There is a common phrase which is “marketing objectives” to link up the three roles of digital analytics for marketing. A firm uses digital analytics to assess opportunities and risks, performances, and accountability of the marketing teams. They only make sense when there are meaningful and realistic objectives set and delivered.  

Categories
Strategy

How do marketers stay relevant to marketing today

Marketing professionals need to adapt to the New Marketing driven by data and technology. Else, they would risk losing their relevance to this profession. These words are not dramatics.

Let us reflect on what happens when we hear or talk about marketing today. Before long the narratives would run into words such as the Big Data, artificial intelligence, the Internet of Things, marketing automation, etc. Marketing practitioners today not only have to talk and hear about these phrases constantly, but also deal and work with them on daily basis.

What’s your strength?

Obviously, these concepts do not traditionally belong to marketing. It is a challenge for marketers to take ownership of them. Marketing professionals’ strength has been in creativity, communications, and strategy. They are less comfortable working with computer codes and statistics. Likewise, marketing students tend to be more interested in Adobe Creative Cloud than SPSS, R, Python, and GitHub. Some of them still do not think they would ever need to touch them.

In a field with the ideal division of labour, statisticians and software engineers should take up the number crunching and coding jobs. But what if the labour now is about numbers and coding? Look again at those marketing buzzwords. They all require data and coding skills.

Contested field

For marketers, marketing has become a contested field. The increasing adoption of and reliance on data and software skills see jobs going to statisticians, data analysts, and software coders and engineers. It does not mean that creative and communication skillsets are not essential. However, marketing job seekers have seen recruitment ads noting analytics as essential skills and software literacy as preferred ones.

Marketing today has become technology-driven. To fuel its engine, data and computing have joined creativity, communications and strategy to be the core career assets. For the marketers who are strong in the latter set of expertise, their working relationships with the number and code persons are mutual supplementary in general. But peer-to-peer competition is looming.

In this wave of the New Marketing (We do not call it digital marketing and there will be a post to explain why), marketers should consider any or all of the three suggested approaches to handle the working relationships with colleagues who possess data and coding skills: to work with them, to work like them, and to lead them.

Relevant learning

To achieve any of these, one needs to learn how data analysts and software engineers work. Such learning will build up data analytics and software project development knowledge and skills. They can benefit multiple aspects of marketing. For example, data-driven agile marketing management, consumer understanding using data analytics, AI-assisted customer journey optimisation, new product development, automated customer relationship management, to name a few.

Building such knowledge requires a journey but is feasible within a manageable period of time. Clicademy in its next few series of posts will introduce concepts, tools and approaches that for our site visitors to learn data analytics and the New Marketing practices.

Clicademy links learning with reality. The site provides live traffic data to provide you with the first-hand analytic insights. You will need to register a membership to access the data analytics.

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On 10th of August 2020, Clicademy sets the first marketing objective as to build up organic traffic of the website.

Sign up a free membership to see how we will attempt the objective and what we will learn.

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Clicademy aims at solving a problem for many learners and future digital marketers: accessing the real and timely website data to practise web analytics skills.

To see more, sign up here.

Every Click Counts

This is about the beginning of it. And what members of Clicademy can expect to see how analytics work to count site clicks.

Clicademy starts with answering a few questions. Where to find real website data when learning digital analytics? How to do search engine optimisation (SEO) without having to own and maintain an operative website? How to practise AdWords without owning a live case…?

It is human instinct to count. So does analytics count every click on websites.
Photo by Miguel Á. Padriñán on Pexels.com

Questions as such have long troubled digital marketing learners preparing for a career journey in data intelligence and marketing analytics.

Clicademy.com answers to the needs of students, teachers, and professionals to learn digital analytics and related marketing technology. It serves them with real online data that they have created and shared on this very website.

Initially, the popular Google Analytics will count site clicks on this website. It is the go-to tool preferred by many to kick start their journey of digital insights. As soon as clicking into Clicademy, members will have their digital footprints recorded and made sense with by regular analytical reports written by our Clicademists, who will moderate the growth of the service by setting periodical site performance objectives and measuring the results.

Clicademy opens its heart and mind to enable your learning journey. The scarcity of real analytics data is due to the fact that no other websites in the world would open up their back-end traffic for visitors to see.

Hence, Clicademy is unique. But we are not reckless. Our transparency is up to the degree to maximise your learning and insights, but is down to earth to safeguard your trust and privacy.

As one of the earliest visitors, you may wonder what if Clicademy started with a zero traffic so that there would be not much to see.

Consider yourself stepping into a game field to see the first-hand history of how this site grows. Visit it on different devices. Log in from various locations. Click the links. Share the site. Invite people to join Clicademy. Feel free to bounce off, linger on, and wander about.

Consider it a privilege: the fewer the co-visitors, the clearer your digital footprints to be visible.

We are expecting the magics of the network effects will one day step in to make this website loaded with useful data and insights. So share this service and invite your like-minded colleagues, co-learners, and friends to join this gamification journey to grow the site.

Believe that every click counts. Especially yours.

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Clicademy greets the world of Internet using WordPress. Technological as well as marketing considerations have compelled us to make the choice... To see more, sign up here.