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.

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Data is Magic for Disney

disney Magic band

“advanced technology is indistinguishable from magic”

Data Pulse #7

My god-daughter Rose Bolcato has just visited Disneyland Paris for her Birthday weekend over Easter. she loves the magic that is Disney. Disney  is the place to take your kids ( both small and grown up ones like me). The Disney brand is all about “Magic” and it’s critical to tell that story consistently.

Disney has invested heavily in its new ‘MagicBand’ technology that delivers an enhanced, data-driven experience for guests at Disney World.

The MagicBand, containing an RFID chip and a radio, connects visitors to a network of sensors around the park. The band allows guests to open hotel doors without a key, enter theme parks, use FastPasses for rides, and make purchases without a card.

The only information stored in the band is an identifier – all other data is stored remotely in the cloud. The MagicBands, sensors and supporting systems generate a rich stream of live data: who is visiting which parks, which routes they use, which rides they are visit, when they visit, queue lengths, food purchased, meal times, shows attended, gifts bought, bathroom stops, time spent in hotel rooms and more. This information allows Disney’s analytics team to make data-driven decisions to optimise the park experience so that visitors have a longer, more enjoyable stay – and spend more while they are there.

 

how to make a c-store more Convenient

 

 7-11

Data Pulse #711

7-11 seized an opportunity to use the existing technology that most of its shoppers already had in their hands as they entered the store, and it did it from a standing start using AGILE methodology like a baby learning to CRAWL, WALK, RUN

 7-11 can now push real-time, rules-driven offers to customers through the 7-11 app.

The decision was made to launch a mobile app in efforts to deliver what the customer wants, when they want it, where they want it. Offers take account of rich data about the customer, both live and historic:

Real-time transactional: current basket, comms received, channel, geofencing

Real-time contextual: location, location temperature, time of day.

Historic modelling: transaction data, profile data, modelling scores.

Insights gained from feedback to offers over time is incorporated into business rules in a process of continuous refinement.

So, for example, on a cold morning, 7-Eleven might push hot drinks offers. At midday, some customers might receive offers for packaged lunches while others receive promotions on fresh foods. In the evening, lifestyle insights might be used to determine that some customers might be tempted by pizza and a DVD rental.

7-11 2

To build this capability, 7-Eleven is implementing a Crawl, Walk, Run process:  essentially an AGILE approach to building a customer and data-led convenience store customer experience

  1. Crawl: build the customer database, launch mobile app, introduce offers.
  2. Walk: integrate self-reported data into profiles, feed segmentation and modeling into communication strategies, increase volume of membership, transactions and offers.
  3. Run: launch programmatic loyalty (moving from offers to earned rewards), incorporate unstructured social/web data, advanced analytics, customer engagement.

7-11 3

The app also features an Idea Hub, where engaged customers can offer suggestions for ways 7-Eleven might improve stores, the app, or any other part of its offer.

 

Segmentation is easy

 

netfix house of cards

 data pulse #37

Delivering the most relevant, inspirational messaging and experiences through advanced segmentation and targeting is a key advanced use of data. Segmentation itself is relatively straight forward, we all do it all the time. The skill for CMO lies in bridging the technical teams and the business imperatives to develop segmentation that delivers on commercial objectives

Netflix is an organisation that uses data in three of the advanced states. Netflix micro-tagging of vast content archives allowed creation of nearly 77,000 film segments, rich data, views, searches , times, pauses and more is used to build behavioural profiles and predictive algorithms give uniquely targeted recommendations.

The segmentation techniques are not dissimilar to the segmentations that Tesco, Sainsbury’s and Coop Food built for segmenting members. Both cluster users based on attributing product features to films / products and then clustering film watched/ products bought using analytics.

The difference is the Volume, Velocity and Veracity of data used.

Coop Food apply 7 segments to members annually,

Netflix create 77,000 segments on daily basis, continually refining which segment members are in so better able to predict your best next film.

More complex isn’t always better, as organisations need to WALK before they can RUN, and align people and processes before they build more complexity. Coop is now using customer segmentations and tools and processes for building ranges and promotional plans, and continually building and refining.

Customer focus, data-driven to deliver commercial imperatives.

Building more sophisticated segmentations will develop but add value if they are aligned to deliver commercial objectives, so creating strategic and operational capabilities

 

 

Creating C.I. from B.I. for Customers

 

British Gas

Data-Pulse #69

Using data- driven analytics and technology to create new services that improve the Customer Experience by creating CI (customer version of BI) has emerged recently:

British Gas and Southern California Electric:

The development of SMART meters has revolutionised the available data from Energy. British Gas connect multiple sources of data to display personal energy use in simple terms: not just kW usage per day/ hour but cost per day/hour, with comparisons to average houses in the area, all presented in easy to use tables and graphs.

British Gas Hive 2

It provides clear practical information that delivers “Informed Energy”. It tells me last week it cost £3 a day to heat my home, and if i turned the thermostat down by 2 degrees i would save £1 a day……. giving me control

California Electric have used variable and peak demand pricing in California to manage energy use in area where there are energy restrictions.

The creation of Hive by British Gas allows remote control of customers’ home central heating, again with an excellent customer experience, allows customers to run their home more efficiently. I can turn the heating on as I come home from work, or manage remotely my teenage daughter who has turned up the temperature before going out herself.

British Gas Hive

Hive will continue to develop as IoT connects more devices to create a House management system.  your Fridge will be connected via IoT to electricity supply and it will automatically switch itself off in periods of low use ( night time ) when no energy is needed to maintain temperature.

Hive have just launched new products in the Hive product family:

  1. Hive Active Plug to connect home electrical appliances via your phone. eg iron or hair straighteners or schedule lamps to turn on and off when on holiday
  2. Hive window or Door Sensor: you can find out if a door is opened or closed when you are away from the house , they’ll tell you by sending an alert to your phone.
  3. Hive Motions Sensor: extra peace of mind with small and sophisticated sensors sending alerts to your phone if movement spotted in your house. 

british gas hive 1

 

Starbucks data driven mobile approach

starbucks

Starbucks have adopted a data driven mobile first approach to making the customer journey simpler and easier in its coffee shops world-wide. 

Innovating and transforming the Customer experience by leveraging data-driven analytics and technology is critical for success in a 21st Century convenient foodservice retailer. 21% of Starbucks transactions are now completed via mobile … in store at the till using Apple Pay via app or using Starbucks Mobile Order and Pay . What’s more is Starbucks processes more than 6million Mobile Order and Pay transactions a month globally.

Mobile Order & Pay is available on iOS and Android . It’s a relatively new feature of the popular Starbucks mobile app that allows customers to place and pay for an order in advance of their visits and pick it up at a participating Starbucks location. Following successful launches in select US cities , mobile ordering is emerging as the fastest and easiest way for Starbucks customers to order ahead , then pay and pick up their purchases, providing on-the-go customers a simple and quick alternative to get their favourite coffee. Massive in USA and beginning to be trialled in UK,There’s a trial store on Tottenham Court Road.

The Mobile Order and Pay feature allows customers to choose a store from a (Google) map view , browse , select and customise drinks, view the estimated time the order will be ready and pre-pay the order. All within the Starbucks app, and integrated into the existing Starbucks app, and my-Starbucks Rewards loyalty programme. A simple easy way to sign up and earn Stars

Starbucks are leading the way as Tech leaders in convenience foodservice, using data and technology in a way that McDonald’s , Burger King and Dunkin’ Donuts will need to respond to rapidly if they want to respond to customer needs.

 

 

Taking data into communities

nike plus

Similar to Strava, Nike+ Running is a fitness tracking app which measures and records running and cycling activity.

nike 1

While the playback of exercise data to users is considerably less detailed than Strava, Nike+ has committed more energy to connecting real world communities with Nike+ Run Clubs and Training Clubs. Run Clubs are for all kinds of runners, with different types of run – Long Run, Speed Run, Track Night and more – designed to help runners achieve their personal goals. Separate to the Running app, Nike+ Training provides over 100 workout routines catering to different needs: Get Lean, Get Toned, Get Strong etc. at beginner, advanced and intermediate levels. Users can share their workouts, see how their friends are doing with their own training programmes and give and receive messages of encouragement.

nike 2

The Nike Training Club puts on free exercise classes in city locations (typically parks and shops) and also feature in some paid-membership gyms. These classes bring together people of all types, regardless of ability.

Nike also stage real world events so that the digital community can become a physical community.

Mike and I both Run Hyde Park and run around the same time.

Nike+ invite us to a NIKE event in Hyde Park,