CAP. 10 Flashcards

1
Q

Definition of digital transformation

A

Definition of digital transformation is contentious: some confusion that comes from opposing worldviews about what transforming means in the context of digital. Interpretation depends on how they view the significance of an intervention in an organisation. The key perspective is context.
Digital transformation: all of the changes when digital is applied to any human endeavour. Lankshear and Knobel (2008): 3° stage in a journey that society or a community must make.
MIT’s Center for Digital Business (2011): digital transformation is marked by a level of intensity of application and implementation of digitally driven projects, and by the way an organisation manages change to take advantage of digital. Clear sense that true digital transformation is about transforming whole organisations rather than working on isolated, individual digital projects.

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2
Q

Definitions of digital business transformation.

A

The definition of ‘digital business transformation’ has evolved and continues to as the notion of what ‘digital’ is changes.
Global Center for Digital Business Transformation: digital business transformation as a journey where businesses ‘adopt digital technologies and business models to improve performance’. Many businesses adopt technology without necessarily changing – businesses need to adapt to digital technologies rather than just adopt them – yet they as an organisation also go on to say ‘Digital business transformation is organisational change through use of digital technologies and business models to improve performance’.
Forrester (2015): digital business alone as exploiting ‘digital technologies to create new sources of value for customers and increase operational agility in service of customers’.

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3
Q

Why is digital business transformation not just about IT?

A

This question comes from the assumption that digital is simply about technology, and is linked to the difference between ‘adopting’ technology and ‘adapting to’ technology. An organisation’s IT resources are inevitably going to be linked to any digital business transformation effort.
L. The applications portfolio – a precursor to digital business transformation
Ward and Peppard (2002): understand the role of IT in the organisation, allowing to understand the significance of technology investment. They break these technology investments into 4 specific types that allow an understanding of the role they’re supposed to play. They don’t refer to these items as software, programs or IT but as ‘business applications’.
Ward and Peppard’s view of applications: they could be extremely large and complex business processes that contain many IT hardware and software elements, along with designed elements of data, info and knowledge flows. Business applications in this context are whole business process and each application is defined by the role it plays in the organisation.
1. High-potential applications. Developed from within. Configuration of process will almost always be unique to that business. Many of skills and competences associated with digital opportunity may not exist within the organisation and so these skills develop at the same time as the project.
Business needs to know when to shut down high-potential applications. If an application in this quadrant can’t demonstrate its value or potential within a given period, it needs to be closed.
If a high-potential produce evidence of revenue or value generation or cost benefits, business give consideration as to whether invest in the application and make it a strategic application.
High-potential applications: currently don’t provide value to the organisation, but may provide a value at some point. The purpose of high-potential applications is to validate the need and value of a specific aspect of the application as well as the application as a whole.
A small area of the business may have been chosen to develop a high-potential application and use it for a short period.
2. What makes something a strategic application? One of the most important features is the need for constant and permanent improvement. Strategic applications need to remain innovative to avoid a competitor copying the process. Constant innovation and testing of new improvement maintains the strategic advantage and strategic dimension of the application. The danger of a competitor imitating the application would immediately remove its strategic nature. This danger can come when the skills and competencies embodied by the staff associated with a key operational application leave the business and those staff go on to work within a competitor organisation. When strategic advantage on an application disappears 2 routes for the application to follow – the application becomes key operational or it becomes a support application.
Strategic applications are those where the organisation finds that it provides some kind of strategic advantage. For a commercial organisation, this advantage may come in the form of a cost saving, the provision of a service or the development of value for customers that competitors can’t apply or provide. Any digital opportunity within the application is likely to be developed within the business. The skills and competencies associated with the digital opportunity are unique to the organisation, and the business has to give significant thought to retaining those skills. Other digital aspects of the strategic application may be imported from external sources but only where these are available elsewhere and where there’s no specific advantage in developing these from within.
3. Becoming a key operational application. Key operational applications are result of significant testing around known business and industry needs. All the operators within the sector need to rely on a service without which they’ll be at disadvantage. There’s a large pool of talent well acquainted with provision of skills and competence within a specific sector. Problems: when demand for staff outstrips supply, or when potential staff move to more interesting or profitable skills and competences in other areas and industry sectors.
Key operational applications become known as legacy systems, so it can be important to monitor a marketplace for changes in business needs or the opportunity to spot a strategic application that could render an existing key operational application redundant. An organisation employs a key operational application to avoid disadvantage relative to competitors, suppliers or customers. Key operational applications are essential to the operation of the business within the sector it operates.
4. Support applications. Support applications: exists for mundane or legal purposes; to ensure the lowest-cost, long-term solution to a well-established business need. A support application may be easily outsourced to a specialist provider or bureau. A digital opportunity is often used to lower the cost of the support application.
If an application is mandated in a business by law, the business look for cheapest, long-term solution to that legal requirement. Application will be provided by an external specialised business.
Mini case study 10.1: The Google algorithm as a strategic application
Box 10.1: The data centre and key operational applications
Mini case study 10.2: If I am in a digitally transformed business, why am I still using Microsoft Office?

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4
Q

History of change and change management

A

Digital transformation and digital business transformation are descendants of the original ideas around the discipline of change management.
The first half of the 20th century brought great change, but this was to a great extent overshadowed by the two great wars of the period. Only in 1960s: evolution of the ideas of change management evolves. Early thinking came from the belief that ‘all change is bad’ and that the process of managing change allows people to accept change. This model of managing change is about how people are different to how they were 50 years ago, and how business is also very different.
Managing change has evolved through the experiences of organisations who made it their business to manage change in other organisations. Subsequent research and experience of these models and approaches to change management were heavily criticised as the change centred around changing the business while still not changing people.
The contemporary view of change management is that it’s about managing the change of people, perhaps more so than managing the change of business.
The two big current drivers of change in organisations are globalisation and technology innovation. Both are external motivators of change. It’s the position of the authors that what makes transformation in a digital business occur is the ability of new digital innovations to transform culture, structure and process. And so, digital takes a new position of strategic importance within the organisation.

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5
Q

The change in strategic position of digital versus technology

A

The evolution of ‘digital’ shows a distinctive journey from something that’s an expensive ‘add-on’ through the emergence of ‘IT management’ to the position of the contemporary digital enterprise where digital is at the heart of the organisation.
WWW in 1991: organisations really start to take digital to heart. Technology was a barrier to entry due to the costs of the technology. Technological innovation could occur with very little associated technology cost. Websites were cheap to design, build and host. Technology is no longer strategic.
‘Digital’ also encompasses cultures, the practices of being online and processes that have been and can be created online, the strategic nature is adapting to digital technology, culture, process and practice and not just adopting technology. Adapting to the technology might well be the easy part of the process. Adapting an organisation and its people to the cultures, practices and processes that those technologies have enabled is a more difficult job.
It’s the view of authors that digital business transformation and digital transformation can be viewed as one and the same thing, and that the process of digital transformation is about adapting to digital technology, culture, process and practice and not just adopting technology.

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6
Q

The need for digital transformation

A

Digital transformation is a more complex activity than the simple acquisition and implementation of technology. It combines all of the issues of contemporary change management with the complex issues of digital. In many cases it’s not a cheap thing to do, but it doesn’t necessarily become a ‘big bang’ expenditure issue either. Placing digital transformation at the heart of strategic thinking allow the organisation to set goals at the highest level and ensures that anything done to transform business is done with the purpose of achieving these goals.
Growth of roles in existing organisations at the highest level of leadership, where digital is the key factor in those roles. There’s some debate as to whether such roles should exist. Digital is important yet remains enigmatic to many stakeholders. The role has evolved into roles such as IT director and chief technology officer. Roles such as chief information officer, chief knowledge officer and even chief intelligence officer emerged. These roles don’t evoke or represent the holistic view of what digital is; they focus on the application and use of technology in pursuit of business. It’s the view of the authors that all of these roles risk losing focus on the full impact of digital technology, culture, practice and process.
Digital transformation allows to question the way the business operates, hence it has its strong routes in change management. It also explores the opportunities provided by digital technology. Those opportunities can be in the technology opportunities that arise through the adaptation of the business, opportunities provided by the way culture is affected or changed in the digital age, opportunities provided by new practices that emerge in the digital age or opportunities provided using new processes that have emerged.

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7
Q

The opportunities provided by digital

A

3 significant themes that highlight where the main impacts and opportunities for success exist:
M. Customer service and service design;
N. Business and organisational process;
O. Business models.
Each of these areas provides its unique set of opportunities and circumstances that use the elements of what digital is.

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8
Q

Where does digital transformation occur?

A
  • Customer experience and service design
  • Customer insight
    What do we mean by customer insight and digital transformation? We need to ask: ‘How can we adapt to digital technology, process, practice and culture to use customer insight?’. To use customer insight effectively, the organisation needs to change in one or all of those areas. The organisation may need to adapt to new technology/processes/practices or alter its culture to take advantage of insight. Biggest problem: they don’t have insight, but they’re not set up to take advantage of the insight they have. The risk for businesses is that they don’t know what customers want or what they’re like.
    Mini case study 10.3: Hertz marketing
  • Adding value
    What do we mean by adding value and digital transformation? ‘How can we adapt to digital technology, process, practice and culture to provide value?’. So that stage of transformation may be a priority. To add value, the organisation needs to consider how to adapt to new technology/processes/practices or alter its culture to provide customer value. Biggest problem: they may not use customer insight to inform about what value customers seek to derive from their products and services. Customers may remain with unmet or under-served needs.
    Box 10.2: Customer value in digitally transformed organisations
  • Interfaces with customers
    Interface should represent the place where two parties interact, any situation where the individual meets the organisation. ‘Touchpoint’ has been suggested as an alternative to interface to shift the focus from existing technology and the idea of a screen. And humans experience many different touchpoints with an organisation even during a single interaction. The word interface could refer to a cohesive and planned arrangement of touchpoints that a person experiences.
    What do we mean by interfaces with customers and digital transformation? ‘How can we adapt to digital technology, process, practice and culture to change and improve the interface with customers’?. These four elements provide an opportunity to change new interfaces between the organisation and the customer.
    Box 10.3: Interfaces in digitally transformed organisations
  • Business process.
    Automation of business process. The transformation is about changing the process and allowing the organisation to take advantage of a digital opportunity to adapt to technology. Automating an existing process is likely to avoid any advantage associated with automation. The process needs to be rethought so that steps can be changed, added to or removed.
    Key drivers to automate processes are often about the time taken by existing information-intensive processes.
    Box 10.4: Digital transformation and change to the insurance sector
  • The business model
    What business models have emerged that are products of ‘digital’? Technological developments means that certain business models have emerged that weren’t possible previously. Changes to culture/practices/processes also mean that new business models can be explored and exploited. What business models are changing?
  • 24/7 anywhere: customers can access an organisation at any time and from any location.
  • From ‘What can I sell you?’ to ‘What do you need?’: focus on customer.
  • Away from assets and towards access to services: it’s not about owning physical assets, but it’s possible to connect people who own those assets with people who want access.
  • New business where digital is at the heart of the opportunity
    There can be situations where the arrival and emerge of a new digital technology creates a chance for the creation and transformation of a new business opportunity.
    Mini case study 10.4: Digital technology at the heart of the business opportunity
  • Adapting the existing business to a digital opportunity
    Digital transformation refers to the adaptation of an existing business around a digital opportunity.
    Adoption is the acquisition of a technology into a business. Organisations adopt technology because it’s fashionable, new, shiny or because they’re worried about being left behind, but this doesn’t necessarily make a digital business. Adoption can be indicator of a lack of strategic thinking and these might be at odds with what the business wants to achieve. The goal of digital transformation is to adapt the business so that it can take advantage of digital culture, processes and practice and maximise return on digital technologies.
    Mini case study 10.5: Domino’s Pizza as a constantly transforming business
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9
Q

The framework of digital transformation

A

A framework for digital transformation can appear linear, compartmentalised and seem to be designed to run one. On the contrary, the themes discussed below are iterative, with activities feeding back and forward through process. And it’s an ongoing process, which some liken to a never-ending journey.

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10
Q

The process of review

A

Successful digital transformation projects don’t dive straight in and start innovating or implementing. The process of review phase is used to establish the current situation of the organisation.
Digital transformation can be initiated because there’s opportunity to place a digital innovation at the heart of the organisation. At this review stage, the organisation probably needs to look at 4 issues:
* What the digital opportunity is.
* How sure the organisation is of the opportunity.
Opportunity analysis will look at questions that are quite traditional in thinking, such as:
o Is there an opportunity to grow the business with existing customers or new customers?
o What are the kinds of revenue we can forecast or expect?
o What value can this create for customers?
Success assurance looks at more internal issues and these are quite traditional in their thinking, such as:
o How stable, permanent, and reliable is the new technology, culture, process or practice?
o Can the opportunity be scaled up?
o How safe is it for the business to adapt to this digital opportunity?
* What level of digital the leadership of the organisation possesses.
* How mature as a digital business the organisation sees itself.

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11
Q

The process of strategy

A

The development of a digital transformation strategy can borrow some relevant features of strategic development. Key themes that occur regularly in successful digital strategies.
- A focus on the objective for the future rather than solving an existing problem
A digital transformation strategy’s focus should be about opportunities, about focusing on creating achievable goals built around important key themes.
The other significant difference between traditional strategic objectives and digital transformation objectives is speed and time. Traditionally, strategic thinking was about the long term. Digital transformation objectives are set around much shorter intervals.
It’s critical that digital transformation objectives are aligned with business objectives.

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12
Q

The process of resourcing and planning

A

Once the roadmap for digital transformation is complete, there are two things that the digital transformation project has to give thought to:
* The design of the transformation.
There needs to be a master plan for implementation of a transformation project.
There’re traditional ways of planning that are very familiar, but newer more contemporary methods could be more useful.
* A programme for change.
More important is the plan for change that will occur in the organisation. To take advantage of a digital opportunity, aspects of the organisation need to adapt to it.
Change needs to occur in digital literacy and digital competence of stakeholders.
A fundamental programme for change might be around organisation culture. Change is often very difficult and, if badly managed, can have the opposite effect.

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13
Q

The process of deployment

A

Traditional approaches to project management make sense where something is big, but where projects are smaller/faster/responsivemore appropriate ways of managing deployment.
Digital provides interesting opportunities to explore deployment in different ways. Technology-focused teams have started to work in different ways to implement projects through a process of agile development. Agile can be a useful way of looking at implementing a transformation project.
The 12 principles of agile (Beck, 2001) fit well into defining characteristics of digital transformation. The focus on collaboration with end-users and customers, small self-organising teams and responding to change resonate highly with themes of digital transformation. Hackathons have been used to deploy small transformation projects and encompass the broader principles of a digital transformation framework. Both of these approaches emphasise the issue of speed and time that affects digital transformation objectives

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14
Q

The process of living with, and evaluating, digital transformation

A

complete failures. Studies abound of failure rates of transformation projects, with some giving an ultimatum to organisations.
Living with a phase of digital transformation equates to evaluating the process as it runs and may require several approaches to be considered. Organisations that adopted an agile approach will use the process of regular check-ins with transformation teams and employees.
There’s a period when a whole project needs to be evaluated in terms of success. Evaluation will review the issues raised in the initial stages of the project:
* Did the transformation grow the business with existing customers or new customers?
* Did it generate the forecasted or expected revenues and what revenue can we forecast or expect?
* Did it create the value that customers wanted?
* Has the organisation been able to scale up the opportunity from a small idea to a much larger proposition?
Furthermore, reviews will also explore:
* How stable is the new technology, culture, process or practice now that the organisation has adapted to it?
* How permanent is the new technology, culture, process or practice?
* How reliable is the new technology, culture, process or practice?
* Were all the risks and issues associated with the new technology, culture, process or practice adequately identified and were the counter-measures appropriate?
The organisation should also review digital maturity index to see whether an appropriate transformation has taken place, and a review of the leadership should show increasing digital awareness and enculturation of broad-based leaders and increasing awareness of organisation among the digital leadership.
The digital transformation of marketing is also happening – in the form of growth hacking.

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15
Q

What is growth hacking?

A

Growth hacking: to boost awareness and lead generation and conversion. It originated in the start-up scene on the West Coast of US several years ago and early adopters included SaaS subscription businesses and social networks.
Box 10.6: Growth hacking
Ellis: ‘Startups live and die by their ability to drive customer acquisition growth… they’re under extreme resource constraints and need to figure out how to break through the noise to let their target customers know they have a superior solution for a critical problem… the best growth hacks take advantage of the unique opportunities available in a connected world where digital experiences can spread rapidly’.
It’s a form of marketing digital disruption because technology is an enabler for marketers to understand and respond to user behaviour more rapidly.
Growth hackers set a goal to acquire users/visitors and achieves it without a marketing budget.
Damelin: ‘The rules of supply and demand dictate that the way established firms are currently marketing will already be expensive… As an entrepreneur, you must be non-traditional. Facing bigger players with bigger budgets, the odds are stacked against you. Identify the people you want to be customers and go get them. The instinct to do what other companies in the same space are doing is the wrong thing to do’.
What about the ‘digital’ element?
This is where agile methodologies from software design come in (Scrum) – marketers use ‘test, learn and commit’ loops. They use a series of micro-optimisations and tests to find out what works.
Mini case study 10.6: Hotmail

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16
Q

Defining goals and KPIs

A

The starting point is setting a KPI, that is a number that quickly tell you if things are going well. In the context of an e-commerce company, growth targets can be simplified into 3 areas:
1. Volume. Unique visitors or visits, brand mentions and searches.
2. Quality. Conversion rates to ‘add-to-basket’ and ‘checkout to sale’.
3. Value. £, euro and $ overall and profit, repeat customer order value based on repeat customer conversion rate, second-order conversion over a specific time.
Stage 1: Reach. Initial phase in the customer engagement process where prospects are researching and exploiting options; primary goals: publish quality content and use effective direct marketing techniques to build awareness. The KPIs associated include:
* Analogue marketing:
- Advertising
o Impressions
o Response rate
o Cost per conversion
- Direct mail
o Delivery rate
o Response rate
o Cost per conversion
- Trade shows and other events
o Registration
o Attendees
o Satisfaction
- Public/media relations
o New releases
o Journalist enquiries
o Interviews
o Pickups/coverage
o Positive mentions
o Endorsements by journalists/influencers
o Share of voice
* Digital marketing
- Website and blog
o SEO effectiveness
o Pay-per-click adv efficiency: impressions, cost per click, cost per conversion
o User sessions
- Webinars
o Attendee rate
o Drop-off rate
o Engagement rate
o Conversion rate
- Social media
o Connections
Stage 2: Act. Persuading prospects to start interacting and begin making buying decisions. Primary goals: continue publishing content and using direct marketing techniques, but also to engage directly with prospects. Other KPIs to be added:
* Analogue marketing
- Inbound phone calls
* Digital marketing
- Website and blog
o Subscribers
o Backlinks
o Time on site
o Downloads
- Social media
o Engagement: likes, shares, retweets, comments, …
o Sentiment
o Conversion
- Leads
o Quality
o Conversion
Stage 3: Convert. Prospects become customers. Primary goals: generate purchases and integrate various nurturing, marketing automation and remarketing techniques to ensure relevance and drive repeat sales. KPIs to be added:
* Digital marketing
- Website and blog
o Return visitors
o E-commerce transactions
- Leads
o Cost per lead
- Orders
o Revenue from purchases
o Average order value
Stage 4: Engage. Focus on creating repeat customers and leveraging relationships with those customers over time. Key focus: building and expanding customer engagements and measuring CLV from the value of the customer advocates that have been created. KPIs to be added:
* Digital marketing
* Website and blog
- Email: open rate, clickthrough rate, bounce rate, unsubscribe rate
- Social media: customer advocacy
- Orders: revenue from repeat purchases
* ROI
- All marketing campaigns and initiatives
- CLV
Effective marketing dashboards incorporate as many of the above elements as possible. Make the dashboard available throughout the organisation and tie goals to compensation programme for marketing team. This will help drive marketing and sales alignment, and specific results important to success.
How to use a single metric to run a start-up
Start-ups have an added challenge: extreme resource constraints. Data collection is easy, but if there’s too much to analyse it can take too long to review and might bury the one key metric that matters. 4 main reasons why start-ups should focus on a single metric:
1. It answers the most important business question
2. It forces the tea to draw a line in the sand and have a clear goal
3. It forces the entire company
4. It inspires a culture of experimentation
There a 6 broadly defined business models. Examples:
1. Transactional: Someone buys something.
2. Collaborative: Someone votes, comments or creates content for you.
3. SaaS: Someone uses your system, and value they get means they don’t churn/cancel subscription.
4. Media: Someone clicks on a banner, PPC ad, or affiliate link.
5. Game (free mobile apps): Players pay for additional content, time savings, extra lives, currency, ….
6. App (fee or paying mobile apps): same of above.
‘One key thing’ by Keller and Papasan (2012): achievers always work from a clear sense of priority and that distraction undermines results.
Growth hacking is a combination of 2 things:
- Growth: about how you shift the kind of metrics that matter most to a business.
- Hacking: how to get growth; taking a different approach to ‘normal’ marketing.

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17
Q

growth targets can be simplified into 3 areas:

A
  1. Volume. Unique visitors or visits, brand mentions and searches.
  2. Quality. Conversion rates to ‘add-to-basket’ and ‘checkout to sale’.
  3. Value. £, euro and $ overall and profit, repeat customer order value based on repeat customer conversion rate, second-order conversion over a specific time.
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18
Q

How to use a single metric to run a start-up

A

Start-ups have an added challenge: extreme resource constraints. Data collection is easy, but if there’s too much to analyse it can take too long to review and might bury the one key metric that matters. 4 main reasons why start-ups should focus on a single metric:
1. It answers the most important business question
2. It forces the tea to draw a line in the sand and have a clear goal
3. It forces the entire company
4. It inspires a culture of experimentation
There a 6 broadly defined business models. Examples:
1. Transactional: Someone buys something.
2. Collaborative: Someone votes, comments or creates content for you.
3. SaaS: Someone uses your system, and value they get means they don’t churn/cancel subscription.
4. Media: Someone clicks on a banner, PPC ad, or affiliate link.
5. Game (free mobile apps): Players pay for additional content, time savings, extra lives, currency, ….
6. App (fee or paying mobile apps): same of above.
‘One key thing’ by Keller and Papasan (2012): achievers always work from a clear sense of priority and that distraction undermines results.
Growth hacking is a combination of 2 things:
- Growth: about how you shift the kind of metrics that matter most to a business.
- Hacking: how to get growth; taking a different approach to ‘normal’ marketing.

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19
Q

6 broadly defined business models

A
  1. Transactional: Someone buys something.
  2. Collaborative: Someone votes, comments or creates content for you.
  3. SaaS: Someone uses your system, and value they get means they don’t churn/cancel subscription.
  4. Media: Someone clicks on a banner, PPC ad, or affiliate link.
  5. Game (free mobile apps): Players pay for additional content, time savings, extra lives, currency, ….
  6. App (fee or paying mobile apps): same of above.
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20
Q

Creating a growth hacking mindset

A

Growth hacking is an approach, rather than a set of tools. To be a good growth hacker:
* Mindset is extremely important. Accelerated growth on a minimum budget. It’s all about users.
* Being curious and creative. Don’t fix on spending a budget, go back to basics and think about tapping into human behaviour.
* The internal culture is important. The business needs to be open to experimentation.
* A good team is required. Marketers with a broad base of knowledge in all areas, but capabilities in both ‘left-brain’ and ‘right-brain’ disciplines.

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21
Q

Ideal skill set of a growth hacking team

A

4 key specialisms in terms of building a growth hacking team:
* Coder/developer.
* Psychologist.
* Marketer/branding.
* Data analyst.

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22
Q

Use of Scrum, an agile methodology, in digital marketing

A

Tensions in how marketers should work. The growth of marketing technology has meant that marketers can try out initial ideas and use the outcomes to refine a campaign through ‘test, learn and commit’ loops.
Agile marketing: respond quickly to evolving needs of customer and new technologies; small marketing ‘experiments’ to test assumptions and monitoring performance to maintain/adapt/change activity.
One of the most used agile methods is Scrum. Traditional approach to the product development process is like a relay race. To excel, speed and flexibility are needed. This is where a holistic approach is needed. Other benefits include:
* Understanding what customers really want and continuously reviewing those needs to make sure your marketing stays relevant;
* Continuously testing small elements of the overall marketing campaign to discover what has the most positive impact on customers;
* Iteratively testing campaigns on the fly and incorporating the learning as you go, rather than measuring success at the end and using the results to do something different ‘next time’;
* Continuous campaign delivery – with campaign elements modified on the fly;
* Strong collaboration between marketing, operations and finance.
This methodology is based on implementing smaller iterative projects quickly and cheaply.
Mini case study 10.7: Airbnb

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23
Q

Scrum meeting

A

Scrum can be used for operationally project managing teams. Organisations that have used it find that it’s a good way of keeping on top of running iterative campaigns.
Planning campaigns: best practice recommends running no more than 90-day planning cycles.
3 core roles within a Scrum process:
1. Product Owner (voice of the customer);
2. Development Team (responsible for delivering activity in increments);
3. Scrum Master (team leader, acts as a buffer between the teams and any distracting influencers).
The Scrum process is then divided into ‘events’:
- Sprint planning
To select what work needs to be done, prepare the sprint backlog with the team and work to a four-hour time limit for a two-week planning sprint. During the first half of it, the team agree what product backlog items need to be considered and during the second half the development team establish the tasks required to deliver the backlog items.
- Daily Scrum
Every day during a sprint, the team hold a stand-up meeting of no more than 15 minutes. The meeting should happen at the same time, in the same location, every day; team members come prepared and each person answers 3 questions:
* What did I do yesterday that helped the development team meet the sprint goal?
* What will I do today to help the development team meet the sprint goal?
* Do I see impediment that prevents me or development team from meeting the sprint goal?
Impediments are recorded by the Scrum Master and displayed on the team’s Scrum board, with someone designated for working toward a resolution. Detailed discussions shouldn’t happen during the Daily Scrum.
- Sprint review and retrospective
During the sprint review, the team reviews the work completed and the planned work that wasn’t completed. At the sprint retrospective, the team answers 2 questions:
1. What went well during the sprint?
2. What could be improved in the next sprint?
They then identify and agree continuous process improvement actions.
Box 10.7: Using Scrum in marketing teams

24
Q

Developing agile marketing campaigns

A

A good ‘rule of thumb’ is to use a marketing 70:20:10 rule:
* 70% of your marketing should be planned activity;
* 20% should be automated marketing that responds to actions of user (programmatic marketing);
* 10% of it should be entirely agile – reacting to news and events as and when they happen.
The right resources are needed, the correct tools to listen to social media feed/provide alerts to relevant topics and a culture that is open to ideas and experimentation.

25
Q

The growth hacking process

A
  1. product/market fit
  2. user data analysis
  3. conversion rate optimisation
  4. viral growth
  5. retention and scalable growth
26
Q
  1. Product/market fit
A

Product/service offering that satisfies the need of a particular user segment.
The product build phase should be entered as quickly as possible with a minimum viable product (basic product). Marketers are enlisted during this initial phase to help put the MVP in front of potential customers to gain feedbackdone by surveys, testing and iterating to improve.
Sustainable growth is only possible if large group of people consider product/service a must have.
Technology start-up investors require ‘proof-of-concept’ before releasing funding, so that key marketing metrics can be provided to prove sustainability.
- Trigger
Triggers come in 2 types:
a. External: embedded within info and tell the user what to do next;
b. Internal: when a product becomes aligned with a thought, emotion or pre-existing routine. One internal triggers become part of peoples routine behaviour, the habit is formed.
- Action
After a trigger comes the intended action. there are 2 pulleys of human behaviour:
a. Motivation: contested topic in psychology, this model is based on the fact there are 3 core motivations driving our desire to act: seek pleasure and avoid pain; seek hope and avoid fear; seek social acceptance and avoid rejection. Negative emotions can be powerful motivators;
b. Usability: the ability of the user to take action easily. Fogg: 6 elements of simplicity: time, money, physical effort, brain cycles, social deviance and non-routine.
- Rewards
Variable reward phase: users are rewarded by solving a problem, reinforcing motivation for taking the action. Levels of dopamine surge when the brain is expecting a reward and introducing variability multiplies effect, activating the brain associated with wanting and desire. 3 ways a product can heighten a user’s search for variable rewards:
* Rewards of the tribe – gratification from others;
* Rewards of the hunt – material goods, money or info;
* Rewards of the self – mastery, completion, competency or consistency.
- Investment
Last phase of the Hook Canvas: before users create mental associations that activate automatic behaviours, they need to first invest in the product. This links to a psychological phenomenon called the escalation of commitment. Asking users to do a bit of work .

27
Q
  1. User data analysis
A

One of the key aspects of growth hacking is find user patterns and test/optimise activities linked to growth.
User data analysis should be a mix of quantitative and qualitative research and a business should develop a systematic method to feed into business insights.
- Main areas of user testing
The 5 main areas of user testing:
a. Technology analysis (conversion rate per browser),
b. Heuristic analysis (relevancy, distraction, online value proposition)
c. Web analytics (flow reports)
d. Qualitative surveys (exit surveys)
e. Usability testing (user session videos)
Info gained from this analysis can be used to test hypothesis relating to user growth and to validate idea.
Another important tool is cohort analysis: data are broken down into the performance of each group of customers that meets the product independently. This method helps companies understand customer flows, which provides more predictive power.
One of the main challenges facing a start-up during the launch stage is having enough customers to provide meaningful data. This is why product/market fit is so important – so that the product initially ‘sells itself’.

28
Q
  1. Conversion rate optimisation
A

User data analysis isn’t an isolated approach to growth hacking – it links to every stage in the cycle, from product/market fit to retention. The info collected from data can then be used for conversion rate optimisation (CRO), to help build an effective growth engine. User data analysis is needed throughout this CRO process, so that activity can be prioritised.
A company should use a minimum sample of 250 to test changes for CRO.
- Key CRO elements
3 main CRO elements:
a. Tools – insights, creating pages, personalisation, campaign and automation;
b. People – insight, management, creative execution, test set-up, implementation, outsource;
c. Process – planning and creating new ads and content, optimising old ads and content.
Eisenberg et al. (2011): 30 key optimisation factors to consider:
* Planning (WIIFM: what’s in for me?; Unique value proposition/campaign proposition; The buying decision; Categorisation)
* Structure (Usability; Look and feel; Searchability; Layout, visual clarity and eye tracking; Purchasing; Tools; Error prevention; Browser compatibility)
* Momentum (Product presentation; Load time; AIDAS (scent); Trust and credibility; Navigation/user of links; Product selection/categorisation; Up-sell/cross-sell; Calls to action/forms; Point of action; Security and privacy)
* Communication (Persuasive copywriting; Content; Headlines; Readability; Use of colour and images; Terminology/jargon; ‘We-We’ Test; Features like reviews)
7 main areas that can help improve website conversion and sales:
a. A/B testing and multivariate testing
b. Having a structured approach
c. Customer journey analysis
d. Copy optimisation
e. Online surveys/customer feedback
f. Cart abandonment analysis
g. Segmentation
Parizek (2013): CRO maturity model based on 7 key pillars:
* People – quality and quantity of a team is essential.
* Knowledge – aligned with people.
* Activities – quantitative and qualitative activities to understand customers better.
* Tests of strategy and frequency – one of the main CRO activities is A/B and multivariate testing.
* Processes – the overall CRO processes is important.
* Sponsor – usually a high-ranking employee who’s an advocate of CRO, trusts the team and fights for budget.
* Tools – tools need to be in place to conduct analysis/tests. The more mature a company’s CRO efforts are, the more sophisticated the tools.
- A/B and multivariate testing
A/B testing. A/B or AB testing: testing two versions of a page or a page element. Some visitors are served alternately, with the visitors randomly split between the two pages. It’ called ‘live split testing’. Goal: increase page/site effectiveness against KPIs including CTR, CR and revenue per visit.
When completing A/B testing it’s important to identify a realistic baseline or control page to compare against (existing landing page). Two new alternatives: ABC test.
Multivariate testing. More sophisticated form of A/B testing that enables simultaneous testing of pages for different combinations of page elements.
To achieve significantly higher increases in sales growth: 6-7 A/B tests or multivariant a month.
Box 10.8: Heuristic analysis
Mini case study 10.9: Multivariate testing at National Express Group increases conversion rate
Clickstream analysis and visitor segmentation
Clickstream analysis: detailed analysis of visitor behaviour to diagnose problems and opportunities.
Path analysis. Aggregate clickstreams are known within web analytics software as ‘forward’ or ‘reverse’ paths. The top paths are often:
Home page: Exit
Home page: Contact us: Exit
News page: Exit
Clickstream analysis becomes more actionable when the analyst review clickstreams in the context of a single page – this is forward path analysis or reverse path analysis.
Mini case study 10.10: How Obama raised $60 million by running an experiment
On-site search effectiveness. It’s another crucial part of clickstream analysis since it’s a key way of finding content, so a detailed search analysis will pay dividends; key search metrics to consider:
Number of searches;
Average number of searches per visitor or searcher;
% of searches returning zero results;
% of site exits from search results;
% of returned searches clicked;
% of returned searches resulting in conversion to sale or other outcome;
Most popular search terms – individual keyword and key phrases.
Visitor segmentation. Segmentation is often difficult within web analytics to relate customer segments to web behaviour because the web analytics data aren’t integrated with customer or purchase data.
All analytics systems have a capability for some segmentation and it’s possible to create specific filters or profiles to help understand one type of site visitor behaviour. Examples:
First-time visitors or returning visitors
Converters against non-converters
Geographic segmentation by country or region (based on IP addresses)
Type of content accessed
Visitors from different referrer types including:
Google organic
Google paid
Strategic search keyphrases, brand keyphrases, …
Display adv
Budgeting
To estimate profitability and ROI of e-channels, companies need to consider tangible and intangible costs and benefits. A similar approach can be used to calculate the ROI of enhancements to an e-commerce site. Hanson (2000): approach that requires identification of revenue from the site, costs from site and costs from supporting it via a call centre. They’re related to profit as follows:
Operating profit=Net income from sales-Ecommerce site costs-Call centre costs
Net income from sales=(Product price-Unit cost) x Sales-Fixed product costs
Ecommerce site costs=Site fixed costs+((% site support contacts) x Cost site support contact x Sales)
Callcentre (CC) costs=CC fixed costs+((% CC support contacts) x Cost CC support contact x Sales)
Approaches for estimating costs are recommended by Bayne (1997):
Last year’s Internet marketing budget.
Percentage of company sales.
Percentage of total marketing budget.
Reallocation of marketing dollars.
What other companies in your industry are spending?
Creating an effective online presence.
A graduated plan tied into measurable results.
A combination of approaches.
Case Study 10.2: Learning from Amazon’s culture of metrics

29
Q
  • Key CRO elements
A

3 main CRO elements:
a. Tools – insights, creating pages, personalisation, campaign and automation;
b. People – insight, management, creative execution, test set-up, implementation, outsource;
c. Process – planning and creating new ads and content, optimising old ads and content.

30
Q

7 main areas that can help improve website conversion and sales:

A

a. A/B testing and multivariate testing
b. Having a structured approach
c. Customer journey analysis
d. Copy optimisation
e. Online surveys/customer feedback
f. Cart abandonment analysis
g. Segmentation

31
Q

Parizek (2013): CRO maturity model based on 7 key pillars:

A
  • People – quality and quantity of a team is essential.
  • Knowledge – aligned with people.
  • Activities – quantitative and qualitative activities to understand customers better.
  • Tests of strategy and frequency – one of the main CRO activities is A/B and multivariate testing.
  • Processes – the overall CRO processes is important.
  • Sponsor – usually a high-ranking employee who’s an advocate of CRO, trusts the team and fights for budget.
  • Tools – tools need to be in place to conduct analysis/tests. The more mature a company’s CRO efforts are, the more sophisticated the tools.
32
Q

A/B and multivariate testing

A

A/B testing. A/B or AB testing: testing two versions of a page or a page element. Some visitors are served alternately, with the visitors randomly split between the two pages. It’ called ‘live split testing’. Goal: increase page/site effectiveness against KPIs including CTR, CR and revenue per visit.
When completing A/B testing it’s important to identify a realistic baseline or control page to compare against (existing landing page). Two new alternatives: ABC test.
Multivariate testing. More sophisticated form of A/B testing that enables simultaneous testing of pages for different combinations of page elements.
To achieve significantly higher increases in sales growth: 6-7 A/B tests or multivariant a month.
Box 10.8: Heuristic analysis
Mini case study 10.9: Multivariate testing at National Express Group increases conversion rate

33
Q
  • Clickstream analysis and visitor segmentation
A

Clickstream analysis: detailed analysis of visitor behaviour to diagnose problems and opportunities.
Path analysis. Aggregate clickstreams are known within web analytics software as ‘forward’ or ‘reverse’ paths. The top paths are often:
* Home page: Exit
* Home page: Contact us: Exit
* News page: Exit
Clickstream analysis becomes more actionable when the analyst review clickstreams in the context of a single page – this is forward path analysis or reverse path analysis.
Mini case study 10.10: How Obama raised $60 million by running an experiment

34
Q

On-site search effectiveness

A

It’s another crucial part of clickstream analysis since it’s a key way of finding content, so a detailed search analysis will pay dividends; key search metrics to consider:
* Number of searches;
* Average number of searches per visitor or searcher;
* % of searches returning zero results;
* % of site exits from search results;
* % of returned searches clicked;
* % of returned searches resulting in conversion to sale or other outcome;
* Most popular search terms – individual keyword and key phrases.

35
Q

Visitor segmentation

A

Segmentation is often difficult within web analytics to relate customer segments to web behaviour because the web analytics data aren’t integrated with customer or purchase data.
All analytics systems have a capability for some segmentation and it’s possible to create specific filters or profiles to help understand one type of site visitor behaviour. Examples:
* First-time visitors or returning visitors
* Converters against non-converters
* Geographic segmentation by country or region (based on IP addresses)
* Type of content accessed
* Visitors from different referrer types including:
o Google organic
o Google paid
o Strategic search keyphrases, brand keyphrases, …
o Display adv

36
Q

Budgeting

A

To estimate profitability and ROI of e-channels, companies need to consider tangible and intangible costs and benefits. A similar approach can be used to calculate the ROI of enhancements to an e-commerce site. Hanson (2000): approach that requires identification of revenue from the site, costs from site and costs from supporting it via a call centre. They’re related to profit as follows:
Operating profit=Net income from sales-Ecommerce site costs-Call centre costs
Net income from sales=(Product price-Unit cost) x Sales-Fixed product costs
Ecommerce site costs=Site fixed costs+((% site support contacts) x Cost site support contact x Sales)
Callcentre (CC) costs=CC fixed costs+((% CC support contacts) x Cost CC support contact x Sales)
Approaches for estimating costs are recommended by Bayne (1997):
Last year’s Internet marketing budget.
Percentage of company sales.
Percentage of total marketing budget.
Reallocation of marketing dollars.
What other companies in your industry are spending?
Creating an effective online presence.
A graduated plan tied into measurable results.
A combination of approaches.
Case Study 10.2: Learning from Amazon’s culture of metrics

37
Q

Viral growth

A

Some digital businesses grown because of viral growth, ‘word-of-mouth’ marketing.
Key issue: consumers are showing resistance to traditional forms of adv. To achieve high growth quickly, marketers are turning to alternative strategies such as viral marketing. Growth hackers are focused on identifying ‘influential’ users in a social network and finding key metrics of growth.
Growth is more likely to be obtained by a large wave of early adopters via media efforts.
Most growth hackers use a hybrid model of viral and non-viral channels.
Companies can engineer digital products to increase peer-to-peer promotion. Aral and Walker (2011): adding a ‘share’ button to a product can increase peer-to-peer influence by 400%; when products have passive features, such as automated notifications, automated targeting and embedded offers, they get a 246% increase in total adoption. 3 main types of products virality:
- Inherent virality: Skype – built into the product and happens as a function of its use.
- Artificial virality: Giffgaff – forced and often built into a reward system.
- Word-of-mouth virality: Zappos – when conversations are generated by satisfied users.
- Measuring virality
Growth hackers measure virality by calculating the viral coefficient. Your company or campaign is truly viral when its K-Factor is 1 or more. Having a viral coefficient greater than 1 is very rare and even 0.2 to 0.3 is a sustainable level.

38
Q

Retention and scalable growth

A

Reichheld and Schefter (2000): in the early years, the cost of acquiring a customer renders many customer relations unprofitable. In subsequent years, the cost of servicing loyal customers falls and the volume of their purchases rises.
Marketing Metrics (Hull, 2013): the likelihood of selling to existing customer is 60-70%, compared to 5-20% for new prospect  customer retention is very important for scalable growth.
A way of measuring and benchmarking customer advocacy is via the NPS  viral coefficient measurements: customers are asked ‘Will you recommend us?’. They are then segmented into Detractors, Passives and Promoters.
Box 10.9: Calculating the K-Factor

39
Q

Creating the right environment for growth hacking

A

Growth hacking is only effective when in the right organisational culture. Key management considerations:
* Some experiments will fail – senior decision-makers need to understand and support an agile and experimental culture. This won’t suite every business.
* Team needs to understand what growth hacking is and have skills to persuade others of its value. When experiments are run, may cause problems for other people and/or impact on other areas.
* Most people involved in tech start-ups are from a computer science or engineering background. Start-ups understanding and appreciate marketing at early stage have better chance of succeeding.
* Most founders only use familiar traction channels and too many companies focus on same channel. Key aspect of generating accelerated growth: ‘swimming against flow and spotting opportunities’. To stand out and gain traction: position a product away from the crowd and leverage new channels and other people’s audiences.

40
Q

Bridging the digital and physical world

A

Traditional channels are just as important for growth hackers. Some growth hackers have seen that ‘real-life’ marketing techniques can massively outperform most people who only use digital. The decision on what channel to use depends on the product and its users.
The best marketers don’t think online and offline, but:
* Who am I talking to?
* What am I trying to achieve?
* What are the best ways using different media in different environments to achieve my objectives?
- Best traditional marketing methods for growth hacking
Hemphill: best offline marketing channels for growth hacking:
* Sponsorship of conferences;
* Running events;
* Promotional gifts – T-shirts and stickers;
* Customer relationship management and direct mail;
* Adv (particularly TV);
* Partnerships/business development;
* Public relations.
PR is particularly good for building trust. You can get anyone to your website but making them give you something requires a degree of trust.
It’s worth using a PR agency because the industry is so ‘contact driven’.
Even more traditional channels should be tested to see if they drive growth, examples:
* PR agencies should initially work on a project basis.
* Adv space should be bought last minute so it’s cheap and tested before committing to a certain number of insertions.
* Branded merchandise should be bought in small numbers.
* Direct mail should be tested with a small sample size and different creative execution.
Mini case study 10.11: How SmartWool flipped the paradigm
Case study 10.3: How Leon used PR to growth hack

41
Q
  • Best traditional marketing methods for growth hacking
A

Hemphill: best offline marketing channels for growth hacking:
* Sponsorship of conferences;
* Running events;
* Promotional gifts – T-shirts and stickers;
* Customer relationship management and direct mail;
* Adv (particularly TV);
* Partnerships/business development;
* Public relations.

42
Q

Growth hacking framework

A

Hemphill: growth hacking framework:
o Stage 1: Product market fit. Growth hacking can only occur after a start-up has achieved product market fit. If a product needs a ‘hard push’ to sell it, it’s not good enough.
Using start-up concept of building a mvp and testing it to gain user feedback for product improvements makes good business sense. This is an ‘economical way of thinking’ to help generate revenue as quickly as possible because the build stage is usually quite expensive.
o Stage 2: Growth hacking. Don’t get distracted from end goal – become obsessive about growth.
Successful growth hacking comes from data-informed marketing. Marketers with a growth mindset should run cheap tests based on validated assumptions to see what works best.
Main difference between ‘analyse and test’ and ‘conversion rate optimisation’ (CRO): the first comes from a more tactical standpoint and the latter is more focused on strategy and mindset.
Key elements of CRO:
* Analysing ‘emotion’ is important.
* CRO is a mix of copywriting, SEO, PPC, social media, UX design and psychology.
* CRO should be channel-focused and put into ‘buckets’ of paid, owned and earned media.
Box 10.10: Testing and analysing

43
Q

Twenty traction channels to test

A

Growth hacking requires people to get out of their comfort zone and go back to basics. A way to do this is to pretend you don’t know anything about marketing and have to run experiments. Weinberg and Mares (2015): 19 traction channels; we have added one more:
* Viral marketing – get your users to market your product/service for you;
* PR – get favourably mentioned in traditional media;
* Unconventional PR – do stunts and offer an exceptional service for WOM marketing;
* SEM – reach segmented targets by adv on search engines;
* Social and display ads – advertise on social and sites to reach millions of prospective customers;
* Offline ads – use rational TV, radio and print adv to generate new customers;
* SEO – get to the top of the organic search listings;
* Content marketing – use your owned media, such as your blog, to educate and reach customers;
* Email marketing – communicate and convert your prospects with targeted emails;
* Engineering as marketing – use engineering resources to build tools that acquire customers;
* Target market blogs – target influential blogs to research new audiences;
* Business development – use partnerships to acquire customers;
* Sales – sell your product/service to enterprises and other customers;
* Affiliate programmes – get affiliates to sell your product for you, for a small percentage of sales;
* Existing platforms – tie growth to a larger platform such as FaceBook;
* Trade shows – recruit customers and partners by going to industry trade shows;
* Offline events – create an event to bring customers to you;
* Speaking engagements – convey your expertise to large groups of potential customers;
* Community building – build a community around your company or product;
* Experiential marketing – ‘live marketing’, engages by immersing in a fun/memorable experience.
McClure: marketing funnel and start-up Pirates metrics (AARRR); useful tool for all types of organisations:
* Acquisition (top of the funnel): How do users find us?
* Activation: Do users have a great first experience?
* Retention: Do users come back?
* Revenue: How do we make money?
* Referral (bottom of the funnel): Do users tell others?

44
Q

McClure: marketing funnel and start-up Pirates metrics (AARRR); useful tool for all types of organisations:

A
  • Acquisition (top of the funnel): How do users find us?
  • Activation: Do users have a great first experience?
  • Retention: Do users come back?
  • Revenue: How do we make money?
  • Referral (bottom of the funnel): Do users tell others?
45
Q

Data analysis

A

Merging quantitative and qualitative data is a key component to growth hacking.
Quantitative is useful to tell what’s happening on a website or mobile app but qualitative will help explain why things happen. Gathering qualitative data doesn’t always happen and gets ignored by companies.
There’s a range of tools to help companies gather info for user data analysis:
* Google Analytics – Google’s free web analytics platforms
* Mixpanel – A paid-for advanced mobile and web analytics
* Kissmetrics – Paid-for group and segment analysis
* Optimizely – Website and mobile app testing platform
* Gekoboard – KPI dashboard software
* Adjust – Attribution and analytics for apps
* Qualaroo – Website surveys for customer insights
* SessionCam – Watch how real users interacts with website, to help improve website conversion
Growth hacking is about finding ‘non-norm’ solutions to achieve growth in a short space of time. Every growth hack is different because if everyone did them, they wouldn’t work.
Get different teams involved, be creative and provide right environment from creative thinking. If you need to, get a facilitator into your organisation to help generate new ideas. Growth hacking ideas might include:
* Share content that people love reading;
* Run regular landing page tests;
* Include build-in sharing features;
* Cross-platforms promotion;
* Generate artificial virality;
* Leverage the power of social media influencers;
* Partnerships;
* PR.

46
Q

Measuring implementation success

A

An agile approach of testing and optimising can only be taken if the performance of activities is monitored, and results are acted upon. Digital businesses and e-commerce companies that have a successful approach to measuring and optimising their activities are often those that thrive and grow.

47
Q

Web analytics: Measuring and improving performance of digital business services

A

Companies with a successful approach to e-commerce often share a common characteristic. They attach great importance and devote resource to monitoring the success of their online marketing and putting in place the processes to continuously improve the performance of their digital channels.
The term web analytics has developed to describe this key digital marketing activity. Petersen (2004): ‘Web analytics is assessment of a variety of data and related sources to help create a generalise understanding of the visitor experience online’.
In addition to ‘site statistics’ about web traffic, sales transactions, usability and researching customers’ view through surveys are also included. This suggests analysis for the sake of it. The definition could also refer to comparison of site-visitor volumes and demographics relative to competitors’ using panels and ISP-collected data. ‘Web analytics is the customer-centred evaluation of the effectiveness of Internet-based marketing to improve the business contribution of online channels to an organisation’.

48
Q

Principles of performance management and improvement

A

‘You can’t manage what you can’t measure’.
The processes and systems to monitor and improve performance and specific management activities are known as performance management systems and based on study of performance measurement systems. Measurement is often highlighted as issue once early versions of a site have been ‘up and running’ for a few months/years, and employees ask ‘How many customers are visiting our site, how many sales are we achieving as a result of our site and how can we improve the site to achieve a return on investment?’. Consequence: performance measurement is often built into an online presence retrospectively. Design for analysis (DFA): technique to apply if measurement is built into site management. Examples of DFA:
* Breaking up a long page or form into different parts, so you see which parts people are interested;
* A URL policy to recommend entry pages for printed material;
* Grouping content by audience type or buying decision and setting up content groups of related content within web analytics systems;
* Measuring attrition at different points in a customer journey.
We’ll review approaches to performance management by examining 3 key elements of an e-commerce performance improvement system: process for improvement, measurement framework that specifies groups of digital marketing metrics and assessment of the suitability of tools and techniques for collecting, analysing, disseminating and actioning results.
- Stage 1: Creating a performance management system
Definition for performance measurement used by Neely (2002): ‘process of quantifying efficiency and effectiveness of past actions through acquisition, collation, sorting, analysis, interpretation and dissemination of appropriate data’.
Performance management extends this definition to the process of analysis and actioning change to drive business performance management to digital marketing. Performance is measured primarily through info on process effectiveness and efficiency.
The need for a structured performance management process is clear if we examine the repercussions if an organisation doesn’t have one. These include: poor linkage of measures with strategic objectives, or absence of objectives; key data not collected; data inaccuracies; data not disseminated or analysed; or no corrective action. Many of barriers to improvement of measurement systems reported by respondents in Adams et al. (2000) also indicate the lack of an effective process. The barriers can be grouped:
* Senior management myopia – reducing costs rather than improving performance;
* Unclear responsibilities for delivering and improving the measurement system;
* Resourcing issues – lack of time, the necessary technology and integrated systems;
* Data problems – data overload or of poor quality, limited data for benchmarking.
To avoid these pitfalls, a coordinated measurement process is required. Plan control by Kotler (1997):
1. Stage 1. Goal-setting stage where the aims of measurement system are defined: assess whether these goals are achieved and specify corrective marketing actions to reduce variance between target and actual KPI.
2. Stage 2. Performance measurement.
3. Stage 3. Performance diagnosis.
4. Stage 4. Purpose for Wisner and Fawcett (1991): ‘to identify competitive position, locate problem areas, assist the firm in updating strategic objectives and making tactical decisions to achieve these objectives and supply feedback after the decisions are implemented’.
In a digital marketing context, corrective action is implementation of these solutions as updates to website content, design, and associated marketing communications. Bourne et al. (2000) and Plant (2000): in addition to reviewing objectives, the suitability of the metrics should also be reviewed and revised. ‘Measurement culture’: each employee is aware of the need to collect data on how well the company is performing and on how well it’s meeting its customers’ needs. This is an essential part of growth hacking.
- Stage 2: Defining the performance metrics framework
Measurement for assessing effectiveness of digital marketing can be thought of as answering:
1. Are the corporate objectives identified in the digital marketing strategy being met?
2. Are the marketing objectives defined achieved?
3. Are the marketing communications objectives identified achieved?
4. How efficient are the different promotional techniques used to attract visitors to the site?
Chaffey (2000): organisations define a measurement framework that defines groupings of specific metrics used to assess digital marketing performance. Suitable measurement frameworks:
A. Include macro-level effectiveness metrics, which assess whether strategic goals are achieved and indicate to what extent digital marketing contributes to the business.
B. Include micro-level metrics, which assess the efficiency of digital marketing tactics and implementation. Wisner and Fawcett (1991): organisations use a hierarchy of measures and should check that lower-level measures support the macro-level strategic objectives. Marketing performance drivers help optimise digital marketing by attracting more site visitors and increasing conversion to desired marketing outcomes.
C. Assess impact of digital marketing on satisfaction, loyalty and contribution of key stakeholders.
D. Framework must be flexible enough to be applied to different forms of online presence.
E. Enable a comparison of the performance of different digital channels with other channels.
F. The framework can be used to assess digital marketing performance against competitors’ or out-of-sector best practice.
It’s common practice to apply the SMART mnemonic, and it’s also useful to consider 3 levels – business measures, marketing measures and specific Internet marketing measures.
Chaffey (2000): framework of measures applied to a range of different companies. Metrics are generated as objectives from digital marketing planning, which need to be monitored to assess the success of strategy and implementation. Objectives can be devised in a top-down fashion, starting with strategic objectives for business contribution and marketing outcomes and leading to tactical objectives for customer satisfaction, behaviour and site promotion. Alternative perspective: bottom-up – success in achieving objectives for site promotion, on-site customer behaviour and customer satisfaction lead sequentially to achieving objectives for marketing outcomes and business contribution.
5) Site promotion. It evaluates volume, quality, value, and cost of where the website, social presence or mobile site visitors originate and what are sites or offline media that prompted their visit. Web analytics used to assess which intermediary sites customers are referred from and which kw they typed into search engines when trying to locate product info. Promotion is successful if traffic is generated that meets objectives of volume and quality.
Key measure. For each referral source, it should be possible to calculate:
* % of all referrals;
* Cost of acquisition (CPA) or cost per sale (CPS);
* Revenue per visit generated;
* Contribution to sales or other outcomes.
4) Customer behaviour (web analytics). If visitors are incentivised to register it’s possible to build profiles for different segments. It’s also important to recognise return visitors, (cookies or log-ins).
Key measure: bounce rates for different pages:
o Home page views/all page views
o Page views/visitor sessions
o Repeats: visitor sessions/visitors
3) Customer satisfaction. Customer satisfaction with the online experience is vital in achieving the desired channel outcomes.
2) Marketing outcomes. Traditional marketing objectives (n° of sales, n° of leads, conversion rates and target for customer acquisition and retention) set and compared to channels. Key marketing outcomes:
* Registration to site or subscriptions to an email newsletter;
* Requests for further info;
* Responding to a promotion;
* An offline lead or sale influenced by a visit to the site;
* A sale on-site.
A used method of assessing channel outcomes is review the CR: indication of the % of visitors who take a particular outcome.
A related concept is the attrition rate: how many visitors are lost at each stage of visiting a site. For a set time, only a proportion of visitors will make their way to product info, a small proportion will add an item to basket and a smaller proportion will buy. Key feature of e-commerce sites: high attrition rate between a customer’s adding an item to a basket and making a purchase. Digital marketers work to decrease this ‘shopping basket abandonment rate’ through improving usability and modifying messaging to persuade visitors to continue the ‘user journey’. This is conversion rate optimisation.
1) Business contribution. A contribution to business channel profitability is the aim of e-commerce business. To assess this, leading companies set an online contribution target of achieving a certain proportion of sales via the channel. Assessing contribution is more difficult for a company that can’t sell products online, but the role of digital channels in influencing purchase should be assessed. Discounted cash flow techniques are used to assess the rate of return over time. Service contribution from digital channels should also be assessed.
Multichannel evaluation. Wilson (2008): the most important aspect of multichannel measurement is to measure ‘channel cross-over effects’. 1to1 Media (2008): summarises recommendations by Forrester (2013) of measuring the following outcomes:
1. Total number of hybrid customers. Include number and proportion who research online and purchase offline.
2. Distribution and spend levels of those hybrid customers. Proportion, average order value and type of category spend for these customers.
3. Cross-channel conversion. Ex: online researchers who buy offline and potentially vice versa.
4. Customer spend with competitors by channel. Established by primary research for each brand. Audience measurement services give info on share of search, share of visitors and upstream/downstream patterns of visitors.

49
Q
  • Stage 1: Creating a performance management system
A

Definition for performance measurement used by Neely (2002): ‘process of quantifying efficiency and effectiveness of past actions through acquisition, collation, sorting, analysis, interpretation and dissemination of appropriate data’.
Performance management extends this definition to the process of analysis and actioning change to drive business performance management to digital marketing. Performance is measured primarily through info on process effectiveness and efficiency.
The need for a structured performance management process is clear if we examine the repercussions if an organisation doesn’t have one. These include: poor linkage of measures with strategic objectives, or absence of objectives; key data not collected; data inaccuracies; data not disseminated or analysed; or no corrective action. Many of barriers to improvement of measurement systems reported by respondents in Adams et al. (2000) also indicate the lack of an effective process. The barriers can be grouped:
* Senior management myopia – reducing costs rather than improving performance;
* Unclear responsibilities for delivering and improving the measurement system;
* Resourcing issues – lack of time, the necessary technology and integrated systems;
* Data problems – data overload or of poor quality, limited data for benchmarking.
To avoid these pitfalls, a coordinated measurement process is required. Plan control by Kotler (1997):
1. Stage 1. Goal-setting stage where the aims of measurement system are defined: assess whether these goals are achieved and specify corrective marketing actions to reduce variance between target and actual KPI.
2. Stage 2. Performance measurement.
3. Stage 3. Performance diagnosis.
4. Stage 4. Purpose for Wisner and Fawcett (1991): ‘to identify competitive position, locate problem areas, assist the firm in updating strategic objectives and making tactical decisions to achieve these objectives and supply feedback after the decisions are implemented’.
In a digital marketing context, corrective action is implementation of these solutions as updates to website content, design, and associated marketing communications. Bourne et al. (2000) and Plant (2000): in addition to reviewing objectives, the suitability of the metrics should also be reviewed and revised. ‘Measurement culture’: each employee is aware of the need to collect data on how well the company is performing and on how well it’s meeting its customers’ needs. This is an essential part of growth hacking

50
Q
  • Stage 2: Defining the performance metrics framework
A

Measurement for assessing effectiveness of digital marketing can be thought of as answering:
1. Are the corporate objectives identified in the digital marketing strategy being met?
2. Are the marketing objectives defined achieved?
3. Are the marketing communications objectives identified achieved?
4. How efficient are the different promotional techniques used to attract visitors to the site?
Chaffey (2000): organisations define a measurement framework that defines groupings of specific metrics used to assess digital marketing performance. Suitable measurement frameworks:
A. Include macro-level effectiveness metrics, which assess whether strategic goals are achieved and indicate to what extent digital marketing contributes to the business.
B. Include micro-level metrics, which assess the efficiency of digital marketing tactics and implementation. Wisner and Fawcett (1991): organisations use a hierarchy of measures and should check that lower-level measures support the macro-level strategic objectives. Marketing performance drivers help optimise digital marketing by attracting more site visitors and increasing conversion to desired marketing outcomes.
C. Assess impact of digital marketing on satisfaction, loyalty and contribution of key stakeholders.
D. Framework must be flexible enough to be applied to different forms of online presence.
E. Enable a comparison of the performance of different digital channels with other channels.
F. The framework can be used to assess digital marketing performance against competitors’ or out-of-sector best practice.
It’s common practice to apply the SMART mnemonic, and it’s also useful to consider 3 levels – business measures, marketing measures and specific Internet marketing measures.
Chaffey (2000): framework of measures applied to a range of different companies. Metrics are generated as objectives from digital marketing planning, which need to be monitored to assess the success of strategy and implementation. Objectives can be devised in a top-down fashion, starting with strategic objectives for business contribution and marketing outcomes and leading to tactical objectives for customer satisfaction, behaviour and site promotion. Alternative perspective: bottom-up – success in achieving objectives for site promotion, on-site customer behaviour and customer satisfaction lead sequentially to achieving objectives for marketing outcomes and business contribution.
5) Site promotion. It evaluates volume, quality, value, and cost of where the website, social presence or mobile site visitors originate and what are sites or offline media that prompted their visit. Web analytics used to assess which intermediary sites customers are referred from and which kw they typed into search engines when trying to locate product info. Promotion is successful if traffic is generated that meets objectives of volume and quality.
Key measure. For each referral source, it should be possible to calculate:
* % of all referrals;
* Cost of acquisition (CPA) or cost per sale (CPS);
* Revenue per visit generated;
* Contribution to sales or other outcomes.
4) Customer behaviour (web analytics). If visitors are incentivised to register it’s possible to build profiles for different segments. It’s also important to recognise return visitors, (cookies or log-ins).
Key measure: bounce rates for different pages:
o Home page views/all page views
o Page views/visitor sessions
o Repeats: visitor sessions/visitors
3) Customer satisfaction. Customer satisfaction with the online experience is vital in achieving the desired channel outcomes.
2) Marketing outcomes. Traditional marketing objectives (n° of sales, n° of leads, conversion rates and target for customer acquisition and retention) set and compared to channels. Key marketing outcomes:
* Registration to site or subscriptions to an email newsletter;
* Requests for further info;
* Responding to a promotion;
* An offline lead or sale influenced by a visit to the site;
* A sale on-site.
A used method of assessing channel outcomes is review the CR: indication of the % of visitors who take a particular outcome.
A related concept is the attrition rate: how many visitors are lost at each stage of visiting a site. For a set time, only a proportion of visitors will make their way to product info, a small proportion will add an item to basket and a smaller proportion will buy. Key feature of e-commerce sites: high attrition rate between a customer’s adding an item to a basket and making a purchase. Digital marketers work to decrease this ‘shopping basket abandonment rate’ through improving usability and modifying messaging to persuade visitors to continue the ‘user journey’. This is conversion rate optimisation.
1) Business contribution. A contribution to business channel profitability is the aim of e-commerce business. To assess this, leading companies set an online contribution target of achieving a certain proportion of sales via the channel. Assessing contribution is more difficult for a company that can’t sell products online, but the role of digital channels in influencing purchase should be assessed. Discounted cash flow techniques are used to assess the rate of return over time. Service contribution from digital channels should also be assessed.
Multichannel evaluation. Wilson (2008): the most important aspect of multichannel measurement is to measure ‘channel cross-over effects’. 1to1 Media (2008): summarises recommendations by Forrester (2013) of measuring the following outcomes:
1. Total number of hybrid customers. Include number and proportion who research online and purchase offline.
2. Distribution and spend levels of those hybrid customers. Proportion, average order value and type of category spend for these customers.
3. Cross-channel conversion. Ex: online researchers who buy offline and potentially vice versa.
4. Customer spend with competitors by channel. Established by primary research for each brand. Audience measurement services give info on share of search, share of visitors and upstream/downstream patterns of visitors.
- Stage 3: Tools and techniques for collecting metrics and summarising results
Techniques to collect metrics include collection of site-visitor activity data.
Collecting site-visitor activity data. Site-visitor activity data captured in web analytics systems records number of visitors on the site and the paths or clickstreams they take through the site as they visit different content.
The server-based log file is added to every time a user downloads a piece of info and is analysed using a log-file analyser.
Page impressions or page views and unique visitors are measures of site activity.
We can learn from the ratio between some of these measures:
* Impressions (pages) per visit (IPV).
* Visits per (unique) visitor (VPV).
Other info giving detailed knowledge of customer behaviour that can be reported by any web analytics package includes:
* Top pages;
* Entry and exit pages;
* Path or clickstream analysis showing the sequence of pages viewed;
* Country of visitor’s origin;
* Browser and operating system used;
* Referring URL and domain.
Comparing apples to orange? With many different web analytics tools used on different sites, there’re standards for measuring visitor volumes. Different techniques for measuring unique visitors (IP addresses), but it’s more accurate if combined with cookies and browser types. Media buyers are interested in accurate audited figures of media sites.

51
Q

Multichannel evaluation

A

Wilson (2008): the most important aspect of multichannel measurement is to measure ‘channel cross-over effects’. 1to1 Media (2008): summarises recommendations by Forrester (2013) of measuring the following outcomes:
1. Total number of hybrid customers. Include number and proportion who research online and purchase offline.
2. Distribution and spend levels of those hybrid customers. Proportion, average order value and type of category spend for these customers.
3. Cross-channel conversion. Ex: online researchers who buy offline and potentially vice versa.
4. Customer spend with competitors by channel. Established by primary research for each brand. Audience measurement services give info on share of search, share of visitors and upstream/downstream patterns of visitors.

52
Q

Multichannel evaluation

A

Wilson (2008): the most important aspect of multichannel measurement is to measure ‘channel cross-over effects’. 1to1 Media (2008): summarises recommendations by Forrester (2013) of measuring the following outcomes:
1. Total number of hybrid customers. Include number and proportion who research online and purchase offline.
2. Distribution and spend levels of those hybrid customers. Proportion, average order value and type of category spend for these customers.
3. Cross-channel conversion. Ex: online researchers who buy offline and potentially vice versa.
4. Customer spend with competitors by channel. Established by primary research for each brand. Audience measurement services give info on share of search, share of visitors and upstream/downstream patterns of visitors.

53
Q

Measuring social media marketing

A

Social media marketing has its range of specialist measures best understood in context of combination of website and PR measures. These show volume, quality, sentiment and value of interactions. 3 levels of KPIs:
* Business-level KPIs to measure contribution from social media.
* Reach and influence KPIs to review reach, share of voice and sentiment.
* Engagement KPIs to manage social media.
Common question within social: how to assess the value of a consumer connecting with a brand. What we can assess is the relative purchase rates of visitors from social media sites to websites compared to other channels, using measures such as cr and revenue per visitor.

54
Q
  • Stage 3: Tools and techniques for collecting metrics and summarising results
A

Techniques to collect metrics include collection of site-visitor activity data.
Collecting site-visitor activity data. Site-visitor activity data captured in web analytics systems records number of visitors on the site and the paths or clickstreams they take through the site as they visit different content.
The server-based log file is added to every time a user downloads a piece of info and is analysed using a log-file analyser.
Page impressions or page views and unique visitors are measures of site activity.
We can learn from the ratio between some of these measures:
* Impressions (pages) per visit (IPV).
* Visits per (unique) visitor (VPV).
Other info giving detailed knowledge of customer behaviour that can be reported by any web analytics package includes:
* Top pages;
* Entry and exit pages;
* Path or clickstream analysis showing the sequence of pages viewed;
* Country of visitor’s origin;
* Browser and operating system used;
* Referring URL and domain.
Comparing apples to orange? With many different web analytics tools used on different sites, there’re standards for measuring visitor volumes. Different techniques for measuring unique visitors (IP addresses), but it’s more accurate if combined with cookies and browser types. Media buyers are interested in accurate audited figures of media sites.

55
Q
  • Collecting site outcome data
A

Site outcome data refer to info about a customer performing a significant action that is of value to the marketer. Key marketing outcomes include:
* Registration to site or subscriptions to an email newsletter;
* Requests for further info;
* Responding to a promotion;
* A sale influenced by a visit to the site;
* A sale on-site.
Measuring quantity of click-through to a site is simplistic.
Marketing outcomes may be recorded in different media according to how customer has performed mixed-mode buying. For all contact points with customers, staff need to be instructed to ask how they found out about the company or made the decision to buy. Although this is valuable info it’s often intrusive, and a customer placing an order may be annoyed to be asked such a question. To avoid alienating the customer, questions about role of website can be asked later.
To collect some of these measures we may need to integrate different info systems. Where customers provide details, these are known as ‘leads’ and may need to be passed to a direct-sales team or recorded in a CRM system. The outcomes from these systems need to be integrated with site-visitor activity data.

56
Q
  • Selecting a web analytics tool
A

Wide range of web analytics tools; it’s difficult to select the best. One of the first issues is the different types of measures that need to be integrated. Types of data that need to be integrated:
1. Operational data. It’s often necessary to resort to 4 different types of tools or data source:
* Referrer data from acquisition campaigns.
* Site-centric data about visitor volume and clickstream behaviour.
* Customer response and profile data.
* Transactional data about leads and sales, often obtained from separate legacy systems.
2. Tactical data. Typically models of required response, such as:
* Reach models with online audience share data for different demographic grouping from sources.
* Lifetime-value models, crated to assess profitability of visitors to the site from different sources and need to integrate with operational data.
3. Strategic data. Performance management systems for senior managers will give big picture. These data indicate trends and performance within the company and against competitors.
An important requirement of a web analytics tool is that it should seek to integrate all these different data sources. The other main requirements of a web analytics tool to consider include:
* Reporting of marketing performance;
* Accuracy of technique;
* Analysis tools;
* Integration with other marketing information systems;
* Ease of use and configuration;
* Cost, which often varies according to site-visitor volumes and number of system users;
* Suitability for reporting on digital marketing campaigns.
Many tracking tools were originally developed to report on the performance of the site and the pages accessed. It’s important that companies have an excellent campaign reporting capability:
1. Can the tool track from point of entry to site through to outcome?
2. Can the tool track and compare a range of digital media types?
3. Can ROI models be constructed?
4. Can reports be produced at both a detailed and summary level?
5. Is it possible to track clickthrough at an individual respondent level for email campaigns?
6. Are post-view responses tracked for ads?
7. Are post-click responses tracked for affiliates?
8. Do email campaign summaries give unique clicks as well as total clicks?
9. Is real-time reporting available?
10. Is cross-campaign and cross-product or content reporting available?
Accuracy is another important aspect of web analytics tools. The worst problems of log-file analysis are the problems of under-counting and over-counting.
Another approach is use the alternative browser-based or tag-based measurement system that records access to web pages every time a page is loaded into a user’s web browser through running a short script, program or tag inserted into the web page.
Traditional marketing research: to help determine the influence of website and related communications on customer perception of the company and its products and services. Each of these techniques can be conducted offline or online.
Various analytics tools available to measure how people are behaving when get to a website; then qualitative research can help explain why they’re behaving in a particular way. These tools and techniques are an important part of the growth hacker’s ‘tool kit’.

57
Q
  • User testing prioritisation
A

It’s important to log issues uncovered in user testing, generate a solution and prioritise them.