7 steps to data-driven customer obsession

seven steps

As we break for Christmas I have just had a great morning with DataIQ Leaders discussing how data can transform CX.

I led a discussion with a group of Analytical leaders with seven simple steps on the road to build advanced Customer Analytics. It’s challenging and requires commitment and alignment from around all the organisation to be successful

  1. Identify the commercial & customer Goals in next 18m-36m
  2. Build a clear vision of a radically different data-driven customer experience, working across digital & bricks & mortar and align across the organisation.
  3. Remove Silos of data use creating a single version of the truth, with a data strategy linked to business goals e.g. Unified View of customer data, GDPR ready and tools developed to meet commercial goals.
  4. Breakdown the institutional fear of data & digital at all levels through training & doing: it’s a tool that anyone can use to do what you have been doing better
  5. Use Data Analytics to Map & Prioritise customer journeys & personalised experiences across human & digital touchpoints and align organisation capability to deliver for customer.
  6. Identify & Build the capabilities (Process, Tools People) that will be required to transform process design from efficiency focused (cheaper) to customer focused (better simpler cheaper) , specifically putting in place an analytics capability to enable data-driven, personalised journeys
  7. Foster stronger bonds between technical and different business people. This is a two-way process to ensure the technical teams understand the commercial imperatives, and customer solutions you would like to build, and the business teams learn to trust the expertise of technical IT teams. It will also allow you to improve data quality through showing the business impact.

Using Data & Advanced Customer Analytics  to put the customer at the heart of an organisation is a transformation that future looking organisations need to start implementing now.

Tech City Coffee

starbucks shop

Understanding customers better has always been critical. Identifying the heart of the commercial challenge and developing customer led solutions to solve them is critical.

Meeting customers needs and simplifying the customer experience using data and digital is a key skill of the new Chief Marketing Officer and delivering the most relevant, inspirational messaging and experiences through advanced segmentation and targeting is a skill every CMO must ensure is delivered.

Starbucks do that

Starbucks carries only 200SKUs but has managed to meet the needs of customers with relevant offers and communications whoever or wherever you are. 

How?

Starbucks Influencing Wheel

Starbucks created a segmentation for customers by day of week, time of day and purchasing details, creating the Starbuck’s Influencing Wheel: which helps frame the problem in terms of what they know about a customer.  Transaction data allows Starbucks to know what behaviours can be observed at purchase time. External f

  1. ENTERPRISE Influences / Transaction data allow Starbucks to know what behaviours can be observed at purchase time ( Food, Beverage, in-store experience etc.)
  2. EXTERNAL Influences ( Weather, Competitors, Events, Community) may impact the way customers behave so Starbucks collected data to simulate local conditions that may affect purchase behaviour.
  3. CUSTOMER Characteristics ( occupation, demographic, need state, day part, media channel preferences etc.)  Not all behaviours can be observed in a transaction so Starbucks deploy .a social listening strategy in order to capture some aspects of a customers lifestyle and how products& services may fit into that lifestyle

starbucks influencing wheel

Customer needs for coffee on way into work, is different to lunchtime or afternoon during the week, and again different to weekend morning coffee. This data is combined with open data to give highly tailored and timely communications with live triggers- offers in the right place at the right time. Arriving at Manchester Piccadilly rail station for early (5-55am)  train to London I get an alert on my phone to pick up a Starbucks coffee for the train. and it really does taste sweet that early in the morning…..

Starbucks also improved the customer experience by being one of the first retailers using a digital app that allows payment through Apple pay or creating a Starbucks wallet that is automatically topped up.

Starbucks are leading the way in delivering the power of value based customer delivery, leveraging data driven analytics and digital technology to drive L4L growth.

Data driven vision for Social Security in Bolanzo

 

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SMART sensors keep Italian seniors living at home

There have been significant step changes in Healthcare in the last few years through their use of predictive and algorithmic data , data segmentation and technology to solve organisational problems

Limited budgets and resources posed a challenge for the city of Bolanzo, with elderly citizens representing almost a quarter of the population and nearly 50% of social budget. With ongoing medical advances, greater numbers of the elderly are living longer and staying in their homes, often alone. The city wanted to ensure their safety and provide the required services, but needed a cost-effective way to know when people needed help.

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The city has implemented an advanced mesh-network of sensors that monitor the home environment – temperature, CO2, water leaks etc – of elderly citizens living alone. Remote interaction with medical professionals via touchscreen and mobile devices provides healthcare advice, saving trips to the doctor.

The technology will also alert ‘angels’ – friends or relatives of the user – if there is a problem, so they can provide assistance until the appropriate services arrive.

This enables social service and health staff to concentrate on people who really need a physical presence with them, while maintaining excellent quality of life for those in the monitoring programme.

If you’d like to checkout a short film that talks it through, here’s the link through to youtube

Data driven Aussies

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Players always say that when it counts the most, fans and supporters can represent the force of an extra player in the team. the “Unfair Advantage”

Competing against three other football codes in one of the most crowded sporting markets in the world, the Australian Rugby Union (ARU) has used data to harness that Unfair Advantage.

Data has become a crucial battleground at Rugby’s top level with every aspect of a match and a player’s performance analysed over and over to find that competitive edge. The Australian Rugby Union also use data to create a community at grass roots playing and grass roots supporters. They learnt from the 2012 Olympics in London and went back home and built a bottom up connected supporter community.  

As Bill Pulver, ARU CEO, states:   “The fundamentals of running a sport are pretty similar to running a business, the difference being you have this thick layer of passion over the top. “

Unlocking Fan Force with Rugby Link

Rugby Link is the platform through which the ARU engages every member of its community – “from the age of 5 right through to the age of 75”.

According to Bill, the Australian Rugby Union have a digital platform for omnichannel one-on-one communication on  that is relevant to a fan or player’s historical engagement with the game; as well as enabling a customised future with the game as well.  

A good example that Jade McAuslan, CRM Manager, describes is how the platform allows the ARU to understand when fans and players renew their seasonal membership, and as a result, time and personalise their outreach accordingly. The way that the data and metrics inform that personalised connection is critical to keeping people more engaged than with any of the other codes.

In the modern, professional era of Rugby Union, teamwork and communication are fundamental to success on the field. But also increasingly it is the cohesion and strength  of the entire organisation behind that team, all the way down to the 5 year old touch rugby player, that provides that edge to keep the national teams winning again and again. With Rugby Link,  the ARU has secured an Unfair Advantage in that international contest.

It can help them get to the final… but didn’t stop them against the mighty All Blacks

cutting the corners using data

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UPS generates rich data through devices, vehicles, tracking materials and sensors throughout its operations. Using advanced data analytics it aims to ‘turn that complex universe of data into business intelligence’.

Route optimisation delivers immense value for UPS – a reduction of one mile per driver per day results in up to $50 million each year. Telematics sensors in UPS vehicles monitor speed, direction, braking, RPM, oil pressure, shifting, idle time, seatbelt use, and hundreds of other data points, including geographic and map data. The analytics team now runs advanced algorithms to crunch all of this information, factoring in delivery routes, customer information, business rules and employee work rules. These algorithms can determine the vehicle’s performance and condition, and can even recommend driving adjustments.

Through these analytics, UPS reduced total miles driven per year by 85 million. Idle engine time was also reduced by 10 million minutes. The information UPS receives allows fully informed decisions about vehicle replacement, and helps determine best driving practice so that drivers get the best possible training.

“We don’t look at initiatives as ‘analytics projects,’ we look at them as business projects. Our goal is to make business processes methods, procedures and analytics all one and the same.” – UPS Senior Director of Process Management.

 

AddUp data in Grass roots activation

 sierra club

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Sierra Club is the USA’s largest grassroots environmental organisation, operating at national and chapter level, with more than 2 million members.

AddUp is Sierra Club’s digital platform, combining grassroots campaigning with the power of big data, predictive recommendations and integrated social sharing to encourage activism and demonstrate collective impact. It is a tool to move members through the defined ‘’engagement ladder’ to deliver the organisational commercial imperatives .

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The AddUp homepage shows petitions to sign, social media actions to take, events to attend and ways to recruit friends. With AddUp it is easy to see the difference that each action makes over time. Through real-time updates, campaigners can see how their involvement is driving the cause forward incrementally, and the chain reaction that follows.

siera club 1

E.g. Thanks for engaging to support Dolphins in Florida. 155,000 people supported the petition (2550 in your state) and we forced the governor to change his mind about introducing a new law on fishing that would have destroyed Dolphin environment. Thank you. Would you now like to support this cause: stop introduction of pesticides that will kill Bees.

A predictive recommendation engine suggests campaigns to each user based on what is trending, location, personal interests and, most importantly, previous actions. By integrating across platforms, Sierra Club can track online and offline donations, petition signatures, membership, household groupings, account management, and participation in Sierra Club outings, pulling all of this data together to build a complete view of each member – allowing the user to see their cumulative impact, and Sierra Club to deliver more relevant, targeted comms.