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Members-only

Updates From the Server Room (v1.1)

đź‘‹ Bye bye paywall

With this update, all the posts are now free to read for the general public. You no longer need to sign up for an account in order to read our articles. To achieve this, we have removed access restriction on all Posts/Pages. It was previously restricted with the Ultimate Member plug-in.

Note that the Dashboard page still requires an account, and it remains free.

🏠 A new home page

We constantly tinker our design to explore new possibilities of UI/UX. With this update, we bring in easier access to content and spiced up our visual language with colors, and colors, and more colors!

Drag the middle to compare: Before and After home page redesign
  • Latest articles are featured above the fold. No sign-in needed to get taste of Clicademy.
  • We are going for the “electric” feel with vibrant gradients.
  • Returning members will get an “Open Dashboard” button frontend and center, allowing quick access to our analytics dashboard.
  • Simplified header
    • We are hiding tag line “Every click counts”. We might use it in other places.
    • We switched from the gradient logo to a singled colored one. It’s Easier to read while conveying a cleaner brand image.
  • New colors: actions, links, and primary buttons now carry a brighter purple/magenta accent to stand out from the default WordPress 2020 accent color, which was darker and more pedestrian looking.

Lastly, drum roll…

đź’Ś The newsletter is live !

  • We have integrated with The Newsletter Plugin.
  • Yes, everyone uses MailChimp. We have considered MailChimp. The user experience is great. The integration is simple. There are countless plugins in WordPress marketplace. But it’s just too expensive! TNP has an unlimited free-tier so why not give it a try?
  • User can subscribe/unsubscribe to our newsletter without creating an account. This means if you are currently a member, you won’t be automatically added to the newsletter audience group. If you would like to subscribe, please click the appropriate “Subscribe” button on the Home page.

<end of transmission>

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.