Opportunity Hunting in Chaotic Times like Covid Crisis

Opportunity Hunting in Chaos. It is a presentation about innovation given by Jeremy Gutsche, Trend Hunter CEO & NYT Bestselling Author.

Opportunity Hunting - framework by Jeremy Gutsche, TrendHunter CEO

Chaos creates opportunity but also sparks ongoing change. Often, people don’t notice the extent of the ongoing change.

Furthermore, when hunting opportunity in chaos, it’s very important to develop a series of tactics and tools to help you filter through the noise, in order to see each of those incremental steps and better identify clusters of opportunities.

Indeed, in any markets/companies/organisations, when it comes to identifying opportunities in chaos, there are really 3 different things to be good at :

  • Reset your expectations
  • Have a tactic or toolkit for hunting new ideas, inspiration.
  • Have a system of filtering through those ideas to find a cluster of opportunities.

We are going to step through each of these steps into opportunity hunting.

Opportunity Hunting - in Chaos

Additionally, when opportunity hunting and getting those results mentioned above, you need to ask yourself this question: where do you find new ideas?

Here are some example of ideas to help you get inspired:

  • Trend safaris: Try to experience other industries and cultures (IKEA)
  • Look for subcultures: Look for subcultures of cool or the opposite of mainstream (QUIKSILVER)
  • Create a full perceptual map of the industry: look at restaurants, food trucks, anything related to the product cycle of what it is they are creating (PEPSI)
  • Randomise your inspiration: go to lectures, webinars you’ve never been to before or would normally be interested in (IDEO)
  • People watching: visit competitors and smaller shops to study what customers are doing (NESTLE)
  • Pursue curiosities: answer the question ‘wouldn’t it be cool if… ?’ (APPLE/CANVA).

1- Tactics from our clients

Opportunity Hunting: tactics

The first concept we will dive into will be:

2- Four levels of opportunity hunting

Opportunity Hunting: four levels of opportunity

Opportunity Hunting: four levels of opportunity

A cluster is a group of items that have the same common factor. For eg, here caffeinated products (drink, crips, chewing gums).

3- Innovation exercise in opportunity hunting: design your own hip hotel.

a) your market (eg Hotels)

Hunt your Market (eg Hotels)

b) adjacent markets (eg Hotel services)

Hunt Adjacent Markets (eg Hotels)

c) your target market demographic likes and is doing

Hunt What Your Target Demographic Likes

In a 2.0 World, the vending machine would give a free drink if you use the hashtag shown on the machine.

d) Group into meaningful clusters

Group into meaningful clustersGroup into meaningful clustersGroup into meaningful clusters

But here is the catch: the human mind is great at recognising patterns…by creating shortcuts… (bad!)

E) Throw your first clusters away

Throw your first clusters away

F) Re-cluster!

Re-cluster!Re-cluster!Re-cluster!Re-cluster!Re-cluster!

Now, you have these groups and need to pick only one of those new clusters to create a new hotel. And what you’ll find that at round 2, people come up with more interesting and unique hotels and less expensive.

Here is what happens. When you focus on a cluster, you’ll start working on a cluster important to your customers, because it is based on a series of ideas more likely to succeed.

4- Workshop: repeat these tactics for your brand

Repeat these tactics for your brand

So, if you are wondering, how did I find these 6 clusters? Well, I use the patterns as follow:

  • In-room luxury: re-direction or surprise
  • Nostalgia co-branding: cyclicality
  • Humanisation of pets: simplicity, focusing on something very important for a specific group of people
  • Viral youth targeting: looking for things that are rebellious
  • Renting cultural experience: acceleration by taking one small idea and taking it to the next level.

I’ll show you now how this works. In the chaos, big changes are like splashes in water that create ripples of opportunity. The way I think about it is that ideas are like a plethora of little dots. Each dot represents a new idea. But those dots are a little more connected than you think. If you find multiple clusters and start adding up, you’ll find several related clusters, you can identify megatrends.

Opportunity Hunting: Identifying megatrends

But if you dial megatrends up, even more, you can find the patterns. And the patterns are going to be the focus of the next 5-10 minutes, that we’ll dive into.

Opportunity Hunting: patterns

5- Patterns of opportunities

You could use the patterns of opportunities to label the change you see out there.

Opportunity Hunting: patterns

But you could use the patterns the other way. Instead of diagnosing, looking outward to find opportunities that are out there.

Opportunity Hunting: patterns

Divergence: ‘Instead of marketing to the masses, be irresistible to a specific group of people’.

Google didn’t want to buy Facebook in 2007 and tried to replicate what Facebook was doing, ie copying their business model. Guess what? It failed badly.

But, if we used ‘Divergence’ as a business model, we could break down what Facebook was doing and find new opportunities. Divergence means people don’t want to be part of the mainstream.

So, Facebook was a site for Friends. So, what is the opposite of that? A site for celebrities, and people you don’t know. That opportunity was filled by Twitter later.

If people are archiving all of their photos, what if I don’t want to have my photos of parties to be archived for the rest of my adult life to be seen by others? Well, something needed to be less permanent, creating an opportunity for Snapchat.

If people are photographing their everyday life, and their food, and ruining the art of photography, something needs to bring that art back. So, twelve people coded up Instagram and sold, interestingly enough, to Facebook for $1 billion, which is a nice check to split between twelve colleagues.

A) Divergence Pattern

If you want to find out divergence in your own market, you take an example of the innovations  you are seeing and you’d ask questions like :

Divergence pattern

Nonetheless,  I’m not going to explain all of these megatrends or sub-patterns today, because you can dive into those resources at trendhunter.com (especially trendhunter.com/pro). You’ll see our entire site is broken down like this, so you can learn the methodology.

Instead, i’m going to keep rolling on and walk you through each of the patterns.

B) Acceleration Pattern

Acceleration is the concept of ‘taking a little idea or customer experience and make it bigger, better, smarter, and more exciting‘.

I’ll give you an example. There’s a guy, who hated marathons. He thought marathons were stupid. You know why? Because people work really, then run and are not happy with the results, because, guess what, it’s a race. If you asked people who did marathons, how they did. People will almost always answer sheepishly: ‚I wish I did better, it wasn’t exactly perfect but I got it done. And if you asked people ‚why did you do the marathon?‘. They will answer ‚ I wanted to have it completed.

So, there is that sense of accomplishment feeling, and by accelerating it, you could make something more interesting. That’s when you created the concept of tough mudder, an experience where there is no clock or timer. And as you run, navigate the course,  you’ll go through mud bogs… and you’ll do it all with your friends. So, it’s kind of cool because you do it as a team. You do it together, take pictures and everyone changes their telephone backgrounds to be that picture of their life accomplishment tough mudder. And in the future, if you ask the question; ‚how did you do in that race ?’, you’ll answer ‘I did awesomely. Take a look at this picture!‘

The company went from 0 to $70 million in two years, teaching us we need to re-think what people actually want.

To find acceleration patterns in your industry, you’ve got to ask:

Acceleration pattern

C) Cyclicality Pattern

This brings me to the next pattern ‚cyclicality’ with the simple notion that ‘everything old is new again’.

Consistently in time, we see a great example of designs, and culture from the past re-embed themselves in the modern-day. You know that people love certain things to come back. Cyclicality continues in almost every industry in a variety of ways.

To get the cyclical opportunity, you first ask :

Cyclicality Pattern

D) Convergence Pattern

This brings me to the next pattern of ‚convergence‘ and the notion of ‚your next idea exists in some combination of things you already know‘.  

Take a guy in prison who couldn’t help but think how different his life could be if he’d simply joined his dad and his brother in the family bakeshop. He studied all the little tiny trends that seemed to impact the world of baking. Then, he made the ingredients organic, and local, which gets to another segment, the restaurant. There, he put solar panels on the roof, which gets the eco crowd. He brought fair wages and more importantly got an element of social good by hiring ex-convicts. Finally, shock branding was pretty big at the time with the advertising slogan ‚Dave’s killer bread, it’s killer good, say no to bread on drugs‘.

The bakeshop went from a tiny shop to a $250 million bread empire in just a matter of years.

To get to a convergence opportunity, you need to ask yourself :

Convergence Pattern

E) Reduction Pattern

Now, let’s move to the ‚reduction’ pattern, which is the concept of ‘it’s not about getting a big idea, it’s about a little idea you can make big’.

Think about all the apps that have a single function, yet are so successful because they do that function very well.

Let me tell you a story of a guy whose future wife broke up with the engagement. He was left with a ring and initially didn’t quite know what to do. So, even though he was very late to the game, he started an online jewelry auction called ‚I do and now I don’t‘, so that the broken people can exchange their jewels. Now, he wanted to help people get over that little fear of how to make that transaction safe. Between the buyer and seller, he added an authenticator, to make sure the jewel is real.

With the concept of reduction, you are trying to be irresistible to a specific group of people.

To find your reduction opportunity, you’d scan your ideas and opportunities and ask yourself :

Reduction Pattern

F) Redirection Pattern

Then, we will move on to the last of the six patterns we will view today, which is ‚redirection‘, that element of surprise. It is about ‚Reinventing and re-positioning the possibility of what could be’.

Here are a few examples of taking weaknesses into opportunities:

Reduction Pattern Examples

Re-direction opportunities can be found by looking at :

Redirection Pattern

Summarising all this, let’s review the tactics for your brand in your opportunity-hunting strategy:

Opportunity Hunting: Tactics' Summary For Your Brand

The new ideas based on the cluster refer to your newly found customer insights.

6- 4 Levels of Breakthrough

Finally, let me walk you through a bonus part based on my experience of opportunity hunting.

Opportunity Hunting: 4 Levels of Breakthrough

A defining choice: you will get presented with something at some point in your career that you could do. It’s within your grasp. It’s often so close to your comfort zone, so similar to things that you have tried, that you dismiss it. If you want to not dismiss it, you must explicitly identify your comfort zone with your team. You then need to push your limits, and make a bold choice.

A dismissable trend: it happens when you are an expert. It’s a trend in your industry where your expertise makes you think you know better. It explains why so many iconic innovators have missed out on huge opportunities that were within their reach. If you don’t want to miss a trend, be humble, ask questions, recognise the blinding power of your own expertise.

A work-shoppable idea: it’s something that comes to you, it’s probably not a bad idea, but you need to workshop through it with your team. If you want to identify a work-shoppable idea, challenge what seems possible, deep-dive your curiosities, and pursue your next customers (not the ones you already have).

All of this brings me to the final idea, the hidden gem.

All in all, I’ll summarise by saying, you are going to create your future. You have so much potential within your grasp. Put push harder, act sooner, and never give up, because you are capable of more than you think.

 

Advertisement

Digital Trends 2019 – Data is key to creating greater customer experiences

This presentation from Sean Donnelly and Jamie Brighton will focus on the most significant digital trends in 2019 that are driving marketing and customer experience strategy.

Digital Trends 2019 – Data is the key to creating greater customer experiences

Hi, my name is Sean Donnelly. I’m a consultant and senior analyst at e-consultancy, where independent providers of research train in best practices. I am here to introduce you to a topic that is on the minds of all marketers.

Presently, I am going to talk to you about technology and marketing trends.

We have been working very closely with Adobe to reach out to the marketing community, in order to:

  • ask them what kind of things they identify as opportunities,
  • what they see as challenges and so on.

This gives us a very unique perspective to identify the operational reality in terms of marketers’ findings.

So, we have done a survey of 12 500 marketers, techies, and so on. It’s actually the largest global survey of its kind. We also accompany that with a series of qualitative interviews to draw additional insights.

Agenda:

  • State of customer experience strategy

  • Importance of customer data

  • Control of customer data: compliance and walled gardens

  • State of Artificial Intelligence (AI)

PRESENTATION N°1: Sean Donnelly

Just for clarification, we will define customer experience as being the sum of all the interactions a customer has with a brand, and their emotional reactions to those interactions.

1. The accelerated loyalty journey

Importantly, first-class personalised customer experience is really important for sustainability.

So, marketers might remember the 4 ‘P’s: Product, Price, Place, and Promotion. But this old model changed. Somewhere along the lines, marketing became very much just about promotion. Promotion isn’t good enough. We need to think about the wider customer experience journey across Google, Social Media…

the accelerated loyalty journey

Clearly, this really expands the role of marketing beyond driving intention to purchase. If you can get a customer to advocate for your brand online, you may be able to deliver him to this loyalty loop for ongoing relations with you.

Now, customer service is increasingly focused and accompanied by technology and data.

Therefore, evaluate if your marketing technology infrastructure is fit for purpose. The technology platform is viewed as the engine room that drives customer experiences and marketing activities. Whereas, the data is the oil that lubricates and empowers this increasingly sophisticated machinery.

2. Data is the new everything

Likewise, a big part of marketing is the ability to understand and utilise data. As such, data skills are becoming increasingly integral. Marketing continues to transition from being an analogue activity to a digital activity with real-time data analysis.

a) Data and measurement

We can see that data serves 3 primary functions:

  • Customer insight
  • Tactic evaluation
  • Demonstrate the value of marketing activities.

We have asked marketers to draw out what they are interested in and what they see as important.

b) The most exciting opportunities in 2019

  • Data-driven marketing that focuses on the individual
  • Optimising the customer experience
  • Creating compelling content for digital experiences.

3. Customer journey management holds the key to personalisation

a) Top digital priorities in 2019

Top digital trends 2019

There are 4 top priorities which are as follow:

  • Customer Journey Management: a key requirement for data-informed customer experiences
  • Targeting and Personalisation: right message, right place, right time
  • Content Marketing: continuing importance of creativity and design
  • Customer Data Management (CMS): convert data into knowledge.

Now, achieving all this requires a highly integrated technology stack. So, the key is to have a more unified approach to marketing channels.

Example: Unilever increases investment in marketers as it shifts from ‘big ad campaigns’ to smaller real-time campaigns. This results in the:

  • creation of digital hubs in about 20 countries.
  • recruitment of marketers with data capabilities
  • investment in cloud-based tools, in order to be able to centralise and surface data from more than 150 different data points.

Unilever example

3. DATA COMPLIANCE AND WALLED GARDENS

data compilation and walled gardens

As you can imagine, data management and data control are becoming more and more intertwined. So, here are some factors to consider:

  • Security: marketers and developers need to be responsible for the users’ data security
  • Privacy: GDPR is the beginning of an era where marketers need to be very careful about how they use customer data
  • Integration: continued efforts to centralise online and offline touchpoints (by marrying transactional data, sentiment data, social media data)
  • Machine Learning: turning data into insights (google analytics) and personalising customer experience.

Please let me provide you with a few examples:

Lloyds bank identified GDPR as an opportunity to educate its email subscribers about the parameters and requirements around GDPR. They did this through an email campaign and helpful pages using laymen’s language under their website. Following this re-direct of emails (bank statements and so on), customers have been very appreciative of this action. This is a kind of boost of customer trust and loyalty.

L’Occitane did research into the abandoned shopping cart on their site. Essentially, they fired up a layer onto the screen. This led to an increase of 2.65 % of the conversion rate per visitor. It had a major impact on the bottom line.

Lloyd's bank revenue uplift

4. Top marketing challenges

Yet, what are the top marketing challenges organisations face?

Top marketing challenges in 2019

Here are the main identified challenges:

  • Lack of internal resources
  • Inconsistent experiences throughout the customer lifecycle
  • Difficulty in tracking marketing effectiveness and media/ad spend
  • Difficulty getting a holistic view of customers across all interactions.

Ultimately, marketers need to think about the flow of information through the entire partner ecosystem.

Withal, interviewees for this report identified issues with walled gardens, principally Facebook and Google. Marketers must determine whether the long-term commercial objectives are best served by operating in these closed platforms. Inarguably, these platforms offer only a bridged insight into customer data. This theme brought increased attention to data retention of sharing practices of Facebook and Google.

5. Increased uptake of Artificial Intelligence (AI)

We can review on a broad spectrum and split it into two classifications:

  • Human-styled artificial intelligence
  • Task-oriented artificial intelligence.

How is the Artificial Intelligence (AI) being applied?

It’s been mostly used to analyse data. That’s because humans can’t analyse large amounts of data. Inasmuch as AI can mine huge amount of structured and unstructured data generated by campaigns and user interactions. This freezes up time for marketers to deliver higher value tasks.

In terms of analysing data, AI and marketing can be used to:

  • create unique customer profiles (personalisation)
  • provide relevant experiences such as delivering dynamic website content, based on personal behavioural data
  • generate content well to increase engagement rates
  • optimise intelligent digital advertising, based on buying history and interactions.

In summary, I would like to leave a few with the following recommendations:

  • Educate your organisation about the potential of Artificial Intelligence and machine learning
  • Strive for integrated customer experience, marketing technology and advertising technology
  • Activate customer data on prescriptive and predictive meaningful analytics insights. This requires the right tools to compile first, second and third-party data, in order to enable that timely and personalised interactions. This can also improve attribution capabilities as well as leading to a better optimisation of the media mix.
  • Cherish your data as a marketing asset to the wider business. Be wary of walled gardens. By combining data from various touchpoints, you can create that personalised experience and a ‘single customer view’. Data must be fully harnessed and companies need to be able to access it without restrictions.
  • Keep pushing the customer-first agenda within your organization. It might also mean educating your customer facing colleagues about their own value proposition. You need to help them understand their role in the customer experience strategy, by empowering them to make decisions.

And now, I’m handing back over to Jamie Brighton.

PRESENTATION N°2: JAMIE BRIGHTON

At this point, we’d like to think what you can take advantage of in the digital trends. Now, I highlighted at the start of the presentation that we’ve seen things like Social Media Management, Video Advertising coming up as focuses.

1. Platform for Personalisation

a) 3 areas of focus for 2019

Digital Trends 2019 – Data is the key to creating greater customer experiences

Needless to say, Personalisation has come out as a key area of digital focus for marketers over the last 9 years of consultancy research.

However, I think it’s probably no surprise to see that Personalisation is again part of 2019’s priorities.  ‘Digital Transformation’, ‘Personalisation’ and ‘Having the right platform in place’ are key areas I’d like to concentrate on.

Let me give you an example. Harvard Business Review shows us that people organisations focusing on Personalisation have successfully:

  • reduced costs by 50%
  • increased revenues by up to 15%
  • improved their marketing capabilities overall within the business.

Personalisation marketing strategy

Often, marketers don’t know where to start due to lack of knowledge. Unfortunately, this is holding organisations back.

However, Personalisation really needs to start with people and process and technology. I’m stating the obvious but it’s really important to remember.

We, at Adobe, believe that there are 3 fundamental pillars to getting ‘Personalisation’ right.

b) 3 Key building blocks to success

building blocks to success

  • Data and Audiences: you need a data platform to understand who your customers are. Then, you need to segment those audiences and communicate with them via your Personalisation strategy.
  • Content: Once you understand your audience, you obviously need to communicate with them and give them the right content. So, having content and data together in the same platform becomes critical.
  • Strategy: When you have those things together, you’ll need to know:
    • where to personalise
    • how to personalise
    • what’s the right time within the customer lifecycle to put a message in front of your customers or prospects.

So, I’d like to spend a bit of time thinking about these key requirements.

2. Key requirements

a) Content Foundation

Content Foundation

Any platforms that you invest in should enable you and your teams to offer content in an intuitive way. The interface/environment should make sense to them to use and re-use core components out of the box (your sites, your apps, your general interfaces).

This means you can get time to add value, instead of investing in re-building, or re-inventing the wheel. Also, content you produce in your team’s build must not be locked up in the Content Management System (CMS) or HTML system (that can only be rendered in a web page).

Intuitive authoring, Reusable content, Content anywhere

We need to be able to:

  • syndicate content, whether it’s to affiliates’ social sites
  • understand how that content is going to be displayed
  • make sure it complies with all the guidelines for your brand
  • get content out to whatever channel/device your customers use to engage with you.

b) Insights

Insights

Insight manifests itself in a number of ways. Fundamentally, we should be able to understand how that content is being consumed. This will allow people who are building that content, to have all the data they need. This will result in informed and intelligent decisions about the next iteration of that content or the next campaign that they want to set up.

Besides, this also means that they need to be able to visualise where customers/prospects are engaging with that content through things like Heatmaps, Clickactivity maps.

Moreover, if you have already the data in a platform like this, you should start leveraging Artificial Intelligence, in order to detect abnormalities in the data.

This means alerting you to how customer behaviour is changing, in order to present potential opportunities.

This might be:

  • spiking customers’ visits
  • dropping conversation rates.

Then, you can adjust in real-time the experience for your customers, to make sure you are not missing out.

c) Personalisation

Personalisation

So, it should be very straightforward for you to create a page and an element of content.

Yet, within a couple of clicks, test that content and work out whether it resonates better with different segments of your audience.

Or even, use AI through Adobe Sensei to target individual customers within your customer base with the most relevant experience within their customer journey.

3. Unlocking the value in data

a) Move faster and smarter with an integrated DMP and Analytics

Well, I’d like to get a little bit tactical here. Often, organisations want to marry together their analytics platform with their Data Management Platform (DMP).

Unlocking the value in data: move faster and smarter with an integrated DMP and Analytics

b) How it works

This effectively means bringing together:

  • the first-party data (your owned customers’ data)
  • analytics tool
  • with the second and third-party data (available from the Customer/Data Management System).

As a result, you can get a little grainier about the reports/segmentation you are running on your customers.

How it works

c) Quantify value of 2nd and 3rd-party data insights

Next, let me give you a few examples on how it’s going to help you. Having these two platforms/pieces technology together means you can have a much better understanding about who your customers are and how they are behaving.

Quantify value of 2nd and 3rd-party data insights

Increasingly, organisations invest in second-party data, where there is a trusted relationship between the two brands and an overlapping of their customer base. They share the customer profiles within their organisations. Thus, they can provide a better experience for the customer in the long run, through better targeting of content and advertising.

That also means a better understanding of how your campaigns are performing.

d) Calculate media campaign effectiveness

It also enables to think about how we can use information from on-site behaviour to be more targeted off-site. These first, second and third-party data enable the use of online customer data and information, to drive more advanced targeting of off-site advertising. By using that information and surfacing it in the DMP, we can make more informed decisions about what advertising to serve to customers or prospects, based on that site’s behaviour.

Calculate media campaign effectiveness

Another idea is to consolidate online and offline data.

e) Consolidate reporting across online and offline assets

Through analytics platforms, there is the ability to import purchase history and behaviour in physical points of retail, for example. By tying these together, we can understand the impact of digital behaviour, digital experience on the in-store or offline experience, and vice-versa.

I’ll just call out an example here. A travel company is able to:

  • overlay destination preferences with purchase behaviour
  • see which audiences have a high propensity to book with this particular travel organisation.

That can be used to re-target individuals off-site. It could be somebody who has abandoned half-way through the booking process. That information can be used to do a much more targeted serve. This will get them to come back later and complete that transaction on the site.

Consolidate reporting across online and offline assets

f) Audience Analytics: Real World Success

Consequently, organisations are starting to take advantage of this type of capability.

Audience Analytics: Real World Success

4. How we can win a digital transformation?

McKenzie’s research shows they are some challenges to getting digital transformation right.

What is blocking your digital transformation?

The organisation fails when it is not making sure that organisational culture is actually on-board for the change they are trying to bring about.

a)The Adobe digital marketing capability maturity model

First and foremost, we, Adobe, believe that one of the best way to understand this, are to:

  • benchmark your own organisation and its competition
  • understand where you fit within a maturity scale.

The Adobe digital marketing capability maturity model

The Adobe digital marketing capability maturity model (continues)

b) Prioritise areas of improvement with your stakeholders

Indeed, Adobe can help you focus on recommended actions for each pillar and dimension via a workshop with an Adobe representative.

Any output of the process is a very detailed report, which shows you:

  • your current score for each of those 7 dimensions
  • any gaps between where you are and where you would like to be.
  • a set of recommendations on how to bridge that gap
  • where you can have the biggest impact with the most effective spend.

Prioritise areas of improvement with your stakeholders

c) Re-evaluate priorities based on resources, complexity and reward size

Furthemore, you can also apply a standard cost/benefit analysis to understand where are the gaps compared with how the spend is going to be. This wil make a difference to your particular business.

Re-evaluate priorities based on resources, complexity and reward size

Additionally, that helps with building a case within your organisation.

d) Build the case beyond Return On Investment (ROI) and cost-saving

Build the case beyond Return On Investment (ROI) and cost-saving

So, to wrap up, a maturity assessment will give you an understanding of where your strengths and weaknesses are. They identify as well the key opportunities you can embrace when it comes to people processing technology.

%d bloggers like this: