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Every time something new comes up and people jump on it, they learn something new but it seems that they often start forgetting the best features of the previous while learning. Then came the content marketing era and inbound marketing surge. Now there is a swing back to ABM (Account based marketing and proactive sales). Danny Wong from Blank label just published an article about this with 9 B2B sales predictions for 2016 in Huffington Post (source: http://www.huffingtonpost.com/entry/the-future-of-sales-9-b2b-sales-predictions-for-2016_us_56beb9b0e4b06fb6526b67c9)
It was great article and I totally agree with Mr. Wong.: Outbound and account management are musts, buyer journey and customer centricity are imperative. Marketing automation is fantastic in existing customer management and content marketing. Still, in case of new prospect recognition most visitors don’t leave their contacts or signs of interest which leaves most potential customers unrecognised. This is something that has bothered me.
Then I learned about Leadforensics… (because they reached out to me and outbound works 🙂 ) They gave me a short introduction to their software (phone+video), we did a pilot with two weeks of data capturing after which they presented me the results and pitched me an offer. I got hooked and bought the license.. and I am even more hooked now. (By the way, their process is very much worth experiencing too, its brilliant. You can book your trial contact here)
This is something I just have to share, because I find Leadforensics to be so elegant, easy and effective. The foundation of the service is IP address recognition. The service lets you know from which companies people are visiting your website, how many of them, which content, time spent and so on. In B2B this intelligence is often enough. You know which companies are looking right now in your sector and they are already considering your company. In case you are considering marketing automation or need leads for sales to follow, Leadforensics is a great tool to take as a first step in operational and cultural change or as part of the lead generation development in marketing automation project. This is what you get (this data is from this site):
#1 Visiting organisations
#2 Sorting visitors
Example of multivisitors
#3 Company details and visitors
In this case 3 visits by one person
#4 Potential people to contact
#6 Sorting and actions
Now that I have the tool in use, I can upload my customer register and create a current customer group with assigned contacts. I can also create prospect list with assigned persons who will be notified about new visits. You can also define goals, not every content is a sign of buying intent, but some are exactly that. Assigning goals and actions for them is quite easy and effective.
My company FutureCMO – Catalyst for Growth is a super temp one man show with a network of other entrepreneurs and I am mostly helping large companies with their digital and customer experience transformation. My challenge is, that projects are large and take my time while running them leaving me little time for selling next cases. When they end I can easily drop between projects. This kind of transformation work is quite time sensitive and frequency of doing it is rare. Also, The lead-time from interest to project could take a lot of time too. Another challenge has been, that I have a globally competitive knowledge, methods and approach, but my work has been local sofar. Now I am going to make my first attempt to get my first very own international clients onboard. While working for WPP and Omnicom this was natural, but as an entrepreneur now it would be a big leap. This is why I think Leadforensics will help me target right companies at the right time and make certain that I can get my projects in without long stand-by periods. I am also working on a start-up for which we are raising money to get started and knowing which companies are interested in our pitch is very important. I am only in the beginning of using Leadforensics, but I am quite impressed with it.
In case you find Leadforensics interesting, you can book your own demo and trial period here (Link URL )
In case you are using some other tools for lead recognition, I’d be very happy to hear about your experiences!
When I think about board member’s day to day life and board meeting’s average content, I know it’s full of big decisions. What is our growth strategy? Are we willing to invest millions of euros/dollars in technology in order to enable customer relationship strategy and automation? How can we reduce our churn? How can we lower over all costs and increase productivity? Thinking big is important, but I’ve come to conclusion that thinking big also makes board members blind to potential that is at their reach with minimal investments.
I’ve been working on direct marketing, sales development, customer journey analytics and customer experience- and customer interface design since 2004 and learned that the potential is amazing. Realizing the potential often only cost pennies, but requires new point of view and strong experience. So what is this really? It’s BEHAVIOURAL ECONOMICS. Using BE in order to rapidly create major changes has to do with Choice Architecture and Nudges, leveraging behavioural patterns. It’s very much like Service Designing, but doesn’t necessarily require total make over, just adjustments. I decided that I collect and publish some of the actual outcomes that I’ve discovered with my clients so that there is tangible proof of what I am talking about. These cases are anonymous and from multiple market areas including both B2B and B2C cases:
Conversion: Sales increased by 240% by only re-designing the way the product was introduced and how customers actually were steered to made the purchase. Investment level 5000€ – sales value in millions
Sales: Changing messaging order and starting marketing by allowing own members to buy first, before others. Creation of momentums inside the campaign. Sales index was 200% in a first year and 260% in second year compared to the original target budget. Investment level – no change. Double profitability impact: higher margins and stronger sales. The sales impact was + 20 millions.
Churn reduction: By changing the way how the company did invoicing, the company’s churn reduction was almost 1/3. Investment level in thousands – savings/improved loyalty > 1 million
Customer service cost reduction: Changing the way invoicing was done, we were able to cut contact center calls to half and allocate that free capacity to proactive contacting of customers who had given critical net promoter scores. Multiple impacts: NPS increase, higher loyalty, higher ARPU, lower cost to serve. Customer feedback also gave insights to overall service and product development. Investment level in thousands – impact in hundreds of thousands
SEO/SEM improvement: Cost of acquisition is often a critical profitability factor. In one case I analysed company’s current reach of SEO and SEM and came to conclusion that 1) Their all key words were targeting the last moments of decision making = most expensive 2) They completely missed the contexts that made their service interesting and valuable = high reach, low cost. Also, they renewed their website, which cut their lead generation to half. The solution: conversion fixes on website with minimal cost, new approach to SEO/SEM. Investment – re-allocated current marketing budget, projected impact more than 200% sales increase
Proactive service messaging: Sending customers service messaging with automation multiply their frequency to use service, increase spending and reduce churn. Investment apr. 100K, sales increase impact in millions.
What board members should consider:
We already have technologies and on-going spending – can we improve their impact
We already have thousands/hundreds of thousands/millions visiting our customer interfaces. Can we improve conversion to sales?
What is our level of contact center costs? How many contacts is there? What is causing those contacts? Can we do something about it?
What is our churn level (leaving customers)? What does that mean in euros/dollars? Can we do something about it?
We have tons of data. Have we really understood the value buried in it? How can we transform data into money (operational improvement with current offering – potential for new businesses and offerings)
One case I am currently working which is special for one major reason, its public, is Kela (Finnish pension insurance company). KELA is government managed and doesn’t have competitors, which means that I can talk about the case without breaking any NDA’s. Due to a legislation change, Kela is going to take over a new service area in the beginning of 2017 that currently employs 600 working years in employee resources. I have a privilege to analyze how customers are currently using Kela services, how and why they use office- and call center services. Based on this data I am looking for ways to increase self service level and decrease cost of servicing. The goal is, that by changing the customer interfaces and service processes we can decrease the service need so much, that Kela DON’T need to hire 600 more people to fulfill the new responsibilities. Since I started analyzing data, interviewing customers and customer service people, we have already found improvement points that allow Kela to cut hundreds of thousands and eventually millions of calls or manual applications. Very little user interface element changes alone can reduce costs by 1,5 million euros in one single service segment. These findings are now in process to be realized with lean UX workshopping.
There’s one specific finding that I just have to point out. In every application context Kela gives an average decision making time. The idea to give an average time is natural and intuitively right way to approach the customer need. However, there is a problem. Giving an average time for decision will create expectations. Giving an average time actually means that HALF of the applicants feel they get below average service, get worried and call. The number of such calls is +200K in total. What can we do? We can change expectations by changing ONE LINE across all services.
“The decision making typically takes AT LEAST xx time”
The change of this one line has very meaningful benefits:
half of the customers feel that their service EXCEEDED expectations
The other half is more patient
The projected saving for this very simple change is at the level of +1 million euros. The cost to make that change is 0€. When scaling all improvements together the savings will be calculated in multiple millions.
What is that KELA case really about? It’s about recognizing why people get worried, feel anxiety, what they don’t understand and how can we improve their feeling of confidence that things are going well. In practice we improve customer experience. In a commercial context this means higher NPS, stronger customer relationships, higher demand, higher conversion rates, lower cost of acquisition… the list is endless and it’s full of direct profit impacting factors.
What I suggest for your next board meeting is, that you take the board consideration list above and put it on your agenda. Then honestly consider if there is room for improvement. My experience is, that there always is. Then contact a person who has real experience about recognizing improvement points, analyzing the data for potential and capacity to create insights and design changes that make millions in ROI.
This is what I do.
Here is a short introduction to my offering and how does it impact company’s customer centric transformation, management, culture, infrastructure and processes: Behavioural Economics offering
Let me know if you want your company to take a leap to a whole new level of productivity. Let’s have a chat and see if we both get excited 🙂
+358 50 55 222 76
- Marketing’s 7P’s published in ADMAP November 2014
- Branding = Change Management & Operational Excellence
- Loyalty for Pragmatists – It’s not about loyalty schemes
- Managing Brand – the most profound KPI’s and their impact
- Brand as a roadsign – foundation for customer journey
Author: Toni Keskinen, Change Catalyst & Executive as a Service
Join FutureCMO Movement LinkedIn Group here
The concept of loyalty is a very profound human emotion like love and trust. Loyalty is an outcome of shared values and experiences, forged with time. It’s not a fling, its about integrity, trust and dedication. Loyalty truly is the holy grail of brand relationship even in the interactive digital marketplace. When we think about loyalty between people, we know that it takes a long time to develop such deep feeling of trust. The same aspect of time certainly applies to brands too. Brands are concepts you can see, feel and experience, even have a dialogue with via customer interfaces and people representing the brand in question.
Well, think hard and consider which brands, products or services are you loyal to? I would imagine there are some. Then think, which brands show genuine interest in you, making your life easier, helping you, respecting your wishes, sharing your values, trusting you completely. Can you think of any?
Companies are quite good at “doing things right”, professionally and operationally delivering what is expected from them. The superb quality of certain product does create trust and loyalty as such due to rational and emotional consideration. This is especially true when your life could depend on that product. On the other hand companies are not that good at “doing the right thing”. Doing the right thing has to do with a context of engagement, feeling of fairness and trust. If your phone breaks a day after the guarantee closes, what does the company do? In case you have bad luck and you fall behind you payments for some period of time, what does the company do then? If the company has a choice between 10% higher profit margin and environmental or societal benefit, which will they choose? There is a lot of data that shows, how profitable “doing the right thing” actually is in case of reclamation. When you do the right thing, listen to your customer, pay attention and do your very best to make things right, the customers reward such deed with their wallets and hearts.
So, my advice for brands is coming straight out of the Bible, Matthew 7:12, The Golden rule: “Do to others whatever you would like them to do to you.” This truth is eternal and applies to Brands on- and offline just as it does to people. Loyalty truly is a concept that takes time to evolve and it can only be earned over time.
Well, the concept of loyalty, in case of commercial operation, means that brands are measuring their brand loyalty with KPI’s like RFP analysis (recency, frequency and monetary), length of customer relationships, life-time-value, share of wallet and Net Promoter Score. All of these measures have to do with loyalty, but they could also be about something else. Not all behavior that appears to be loyal has to do with the concept above. Let’s take a look at commercial loyalty strategies:
1. Rational Loyalty
2. Emotional Loyalty
3. Habit based loyalty
4. Imprinted customers
5. Legal loyalty
6. Structural bonds
Most loyalty programs don’t deliver brand loyalty, really. That is due to the fact that people have all loyalty cards and they pick cherries from where ever they happen to find best offer at that point in time. Points based loyalty programs are often buying loyalty from customer. You get more discount when you buy more and you get offers only available for members. Loyalty can be completely rationally driven model that create a behavioral pattern for customers to buy when it’s cheap. Naturally, they don’t if you don’t have an offer for them. In the open online market its very easy make comparisons.
Most often, members also get bulk messaging in which there is nothing personal. A membership equals the license to sell. Selling is often positive. Customers consider selling as active relationship in which the company is offering new services and value for them (servicing by selling). Buying several products or services from a single company generate stronger relationship and lower attrition probability. Everything above is basically positive, better than no program. However, when customer relationship is based on rational decision, another company with more aggressive approach can do considerable damage.
Emotional loyalty has to do with the true concept of Loyalty. Brand as a whole has its foundation in customer experience, quality, integrity, service, ethics, trust, corporate responsibility and values. If the brand feels right for the customer he’s less likely to consider competitors. Also, the loved brands become part of customer’s own identity and they don’t lose customers without warning. If customers truly love your brand, they let you know if your pricing or position is having a strong challenger and they actively ask your approach to the situation. Emotional loyalty is not price driven. You can have healthy margins and customers accept it. In such a position customers also offer their helping hand and are much more open to participate in open innovation or co-creation dialogue or giving you advice how to improve your service even further.
In current business environment there’s too much of everything all the time. It’s very difficult to differentiate yourself by offering or pricing. The truly emotionally driven approach to loyalty is to consider how the company can show it’s loyalty towards customers. How do you take care of your customers? How do you make certain that the value you are delivering to your customer becomes even higher? How do you solve problems that your customers have?
Habit based loyalty
In most businesses there comes a time when customers re-consider whether to buy the same brand again or to buy something else. If the customer is involved in continuous relationship it requires active sign-off from the current relationship. If you can turn single purchases in to continuous relationships in any way, you are likely to drive much higher loyalty. That’s the best part. Once the customer is engaged in continuous relationship it requires time and effort to close it. The bigger the required effort is, the less like people are to go thru with it. Some of the best psychological themes for loyalty are laziness and minimizing points of discontinuity creating experiences like billing. One of the great ways of improving loyalty is allowing customers to have automatic payment methods directly from account or via credit card (eg. Netflix and Spotify). As a result customer does not get direct invoice for the service delivered but it’s included in credit card invoice or directly paid from account. Attrition probability drop is quite significant with such a method and the relationships could continue for as long as the credit card is valid.
When people establish behavioral patterns like reading a newspaper every morning, their likelihood of attrition is much lower. Habit based loyalty is really about keeping the status quo. Low profile and making certain that there is no need for active consideration for the customer enable very profitable type of loyalty.
I have have been completely loyal to LensOn contact lens selling online store for the past four years. This is because they send me an email enabling me to repeat purchase with only two clicks. I didn’t even remember the brand, but in case I didn’t order instantly I would go back to my email and search: “contact lenses”. This search will bring me the email I am looking for and with only two clicks I’ll order new package of contact lenses. Because my credit card information is already stored in the service, this habit is extremely easy for LensOn to maintain.
Another fantastic case of habitual loyalty is online banking. The first online bank was issued in Finland and since then the whole retail banking has changed completely. People no longer have a reason to go to the bank. They can take care of all their finances online. As an outcome people have become user interface loyal. Only in case of major need for relationship driver service, like mortgage, people would consider changing their bank relationship. Online banking is like electricity, as long as you get it when you need it, there’s no problem. If you don’t, you have a major problem. If the service keeps on going there’s nothing to question the current relationship. Online banking enabled huge cost cuts and automated service processes. Cost to serve is now marginal. Once online banking was introduced and became a habit for customers, the vast majority of customers became profitable. Banking margins and profits have grown and the profitability has increased without attrition.
Customers are not necessarily loyal to the company, but person they are in a relationship with. If customers get imprinted to their counterpart and the person stays with the company, relationships could be very strong emotionally, rationally and habitually. Trusted person can be an enormous asset for a company. The online revolution has diminished the role of person-to-person relationships in consumer businesses. The role of brands and trust in service processes has substituted the void to some extent. It’s not quite the same but works too.
The company’s customer interfaces and people servicing customers should still be trained to reach for such relationships. The brand is as good as the person representing it. Some major hairdresser chains evaluate their employees based on the fact, how many of the hairdresser’s customers book their next visit from the same hairdresser. This measure is beautifully simple and revealing. Being a great hairdresser is not just about the quality of your work, it’s very much about the whole experience. Especially women open up and discuss at the hairdresser. They could easily spend two hours with the hairdresser and spend a lot of money on the experience. It’s about being heard, appreciated and pampered along with getting your hair cut and dyed.
Legal (Contractual) Loyalty
Mobile operators in Finland suffered from very high attrition rates after number portability was enabled. Churn rates reached +30% level even though customers were very happy with their operators. This is a great case proving that customer satisfaction DOES NOT EQUAL loyalty. Customers want to have a new mobile phone every two to three years. The need to get a new handset created natural discontinuity to relationships. Mobile operators have an orientation to offer good deals for new customers and winning higher share of dynamic market. This orientation led to higher advantage for changing a company than staying with the current one. These operators had same level of perceived value and customers had rarely real preference. Most customers had only options that were equally good in general. Only differentiating factors were the brand communications and current offers.
The operators started selling customers 12 month agreements, which offered lower cost calls in the evenings or weekends. These agreements sold quite well and led to lower attrition rates. Once 3G bundles were introduced they included 24 month agreement and were sold with handset subsidies. Against your 24 months agreement you got the mobile phone at about half price. These agreements dropped attrition rates below 10%. In other words agreements offered steady relationships and predictability. As a result mobile operators profits increased and people purchased more expensive mobile phones, which enabled major increase in the use of data creating completely new mass market. Everybody won. After the 24 month agreements ended, the attrition rates increased back to 15-20%. Although the attrition rate increased, they didn’t reach previously familiar 30% rates.
Human nature is lazy and towards many product and service ranges, indifferent. In order to gain market share in a business like this brand has to actively sell and create discontinuity with sales. Electricity agreements are a great example of this. Very few people compare electricity pricing and actively change a power company unless it’s actively sold. When you get a call offering you -5-10% and the offered power is produced with water and greener than your current option, it’s easy to agree. Even better, the new company also close the previous deal so that the only thing you need to do is say ”yes” on phone. It is possible to surprise a competitor with heavy attack in a case like this. Unless the competitor has closed agreements for certain period of time, they are likely to lose a lot of customers almost over night. Who would start comparing for 5%? Very few would. Who would accept such offer when it doesn’t require any effort? Quite many will. Only thing hindering people to accept such an offer would be to tie them in the relationship with an agreement for certain period of time.
Loyalty by structural Bond
What could you sell your customer to make him dependent on you? Structural bond is an interesting approach to loyalty and how to create value in which the customer becomes dependent on.
When Polar Electro introduced their wrist top computers with heart rate monitoring they soon created online Personal Trainer in the end of 1990’s to supplement additional training advice for users beyond possibilities of the cadget in it self. Personal Trainer recorded all your training to a database and created record. It helped analyzing your training requirements and results very effectively. In the early 2000 this was a ground-breaking innovation. When all your training history was online, Polar Electro had a structural bond on you. If you wanted to change to more advance training tools, you had to buy another Polar wrist-top-computer in case you wanted to keep your training record ongoing. Currently mobile phones have same functions and you can use variety of platforms for storing your data eg. Samsung back-up, Apple iCloud or Android saving to Google account. These platforms effectively still create structural bond although some of them are now cadget independent and available to iPhone, Nokia and android. Still, Polar Electro’s Training Tool is an effective loyalty driver for everyone who has been using it for the past decade. The current rush to “internet of things” will produce massive offering of services just like Polar Electro’s training tool. As this market is only just opening, every brand should consider right now, how can they lock their customers in.
Facebook also has a strong structural bond, your friends that are already there. When everyone is already there, it becomes very difficult to leave and completely stop using it. It is also very challenging for other services to get really active users, because Facebook is a strong habit and it holds your entire social life and has become big part of yourself – part of who you are and how you represent yourself to the world.
No matter what you do, some customers will leave eventually. Still, applying effective win back strategies could diminish negative churn. One telecom company actually managed to win back 80% of already lost customers. Win back operation was probably the most profitable function the company had ever created.
Just one more advice, when you are trying to develop your company’s customer relationship excellence, you can’t just look at the customers who are happy and satisfied. Their responses will only strengthen the status quo and hinder innovation and adaptation to changing business environment. Lost customers on the other hand are a great source of insight and improvement advice. Any information that help you predict discontinuity, increase the probability of re-purchase, or shield customers from competitors influence and decrease retention clearly increase profitability.
Loyalty certainly is something worth thriving for. Just remember the Golden rule when you are making choices – even though you work in the interactive digital market place.
- Symbiosis Strategy – Creating the ultimate value proposition
- Branding = Change management and operational excellence
- Marketing’s new and re-designed 7P’s
Managing Brand – The most profound KPI’s and measures /
From marketing automation to service automation
- Managing customer interfaces
Over the past couple of years I have been involved in the development processes of SME’s and some major companies with hundreds of millions or billions in turnover. These processes are about change:
- The emphasis is moving from advertising and external media to own touchpoints and communications with own customers
- The marketing as such is becoming more and more targeted and measurable. Marketing has a business case and acts more and more like a business unit
- The view is moving from products and services to customers and customer centric insight driven development
- The development requires companies to change the way they operate and how they are organized
- Big data about customers, their behavior and their needs is required in order to enable the change
- The change requires companies to re-consider their KPI’s and what data do they use in order to increase transparency and enhance and empower internal innovation and cross-silo collaboration
- This change must be managed and management must change in order to enable the change for better
I recently published my view on the new and re-designed 7P’s for marketing. In this article I already underlined the fact that marketing has changed profoundly. Brands are no longer created – they are earned. Brands live in customers’ minds and they grow from experiences.. own and peer experiences. In my opinion CMO’s are at the very core of corporate Must Win Battles like:
This is why I would say rather confidently that the path from good to great brand includes these stages:
First: You need to have goals and vision. They act as a unifying master plan that everyone in the company can understand and accept. What kind of brand are we trying to create? What kind of customer experience and and relationship are we trying to deliver and earn? What kind of impacts are we trying to get?
Second: When you analyse the customer journey accross all touchpoints and channels, you get to see how are you currently performing, what and where do you need to improve. This is where the magic happens between your brand and customers
Third: You need to take a look at how does your company actually operate and how is it managed. Does your current ways support and enable the customer interface operations that you are trying to achieve. Are you organized right, do you have right kind of KPI’s, are different diciplines and silos working together or do you lose insights between gaps and inevitably cause corporate autism?
Fourth: Does your corporate infrastructure enable everything mentioned and planned above? Do you have legacy systems and technology, disconnected data etc. In case the technology and infrastructure doesn’t enable the change, how do you take action? What kind of roadmap and investments are required? What can be done fast, what takes more time and effort? What can be piloted and can you start the learning curve growth with some manual work that enable more effective technology implementation?
This same approach to change management can also be seen as work that moves from practical customer interfaces insights and understanding to top – not top-down. This is how it works:
When I have been running these cases I have learned that this approach works very, very well. The reason is that everyone is involved and the process in it self actually enhances the learning and feeling of unity, shared goals and willingness to change. This is because the process inspires, makes difficult theory work feel practical and easy to adopt. Very often the process generates several small victories and improvements that can be implemented immediately. The good experiences start building up and people get the feeling that these things are really happening and we are really doing something meaningful. Once the plan is ready, the organisation has already moved several steps to the right direction and has become excited about the development. For the management this is extremely valuable situation, because they can just enable what the organisation is asking for instead of trying to order and manage changes top-down.
The reality is that the use of data and data driven operations are requiring new approach to technology and companies need to adopt it some how. Here’s an example about the use of external data ecosystem along with own data
The role of internal and external data:
This is how I see the brand development in this day and age. Do you agree/disagree? Would you have any cases, experiences or hints how I could develop this approach further?
- How to enable smart company and avoid corporate autism
- Brand is a verb
- Marketing’s new and re-designed 7P’s
Managing Brand – The most profound KPI’s and measures /
From marketing automation to service automation
- Managing customer interfaces