Loyalty – Customer Centricity
Bigger than big data for 30 years
12% of the worlds population in our data / 5th gdp worldwide
Trabajo con retailers y marcas de talla mundial
para personalizar experiencias de sus clientes
This is the challenge of businesses how to create trust and value in their customer base
For that its key to adopt a Customer Centric point of view
We will explore avenues today of how to make that happen and how’s that evolving currently based on the shopper expectations / needs and desires
Slide purpose:
Reinforces the idea of a personalised experience.
Slide notes:
Advances in data, technology and analytics means we can create a more personal shopping experience and rebuild the emotional connection with customers. Greater emotional loyalty = greater sales.
Speaking Notes:
Technology is enabling us to recreate the shopping experience customers had with local shops in the past, on a mass scale.
These relationships were strong because the shop owner knew customers on a personal level and made them feel valued + important
They recognised customers as they entered the store, or got to the counter, knew their families, recommended products they knew were relevant, maybe stocked certain products just for them, had goods ready waiting, gave them special discounts from time to time
In some cases, these relationships extended beyond the store and they had dialogue in different contexts and trusted their shop owners opinion and advice on non-grocery matters
This has been really challenging for mass chains to replicate and certainly in some of the markets we work in, a feeling customers have become emotionally detached, which results in a lack of brand loyalty .
However, data and technology in place today enables us to recreate these experiences in real time, building emotional connection and brand loyalty
90% of the data in the world today has been created in the last two years
This data and tech only Will transform customer experiencies at an increasingly fast pace
Consumidor transformado por la tecnología
Consumidor distraído por la tecnologia
Families reformed
Economical factors
Health and wellness
80% deles passaram a comprar marcas mais baratas em algumas categorias para manter o seu padrão de consumo, somente 13% trocaram sua marca favorita de cerveja por outra mais barata
56% disseram que diminuíram o consumo de cerveja em bares e restaurantes e 40% afirmaram que passaram a tomar mais cerveja em casa
No Grupo Pão de Açúcar, nosso parceiro varejista no Brasil, as vendas de cervejas estão crescendo incríveis 23.4% neste ano
as vendas para os fiéis crescem 175% quando o produto está promocionado, enquanto os não fiéis crescem 49%
No Grupo Pão de Açúcar, vendas do segmento de cervejas premium (composto de marcas como Bud, Stella, e Heineken, por exemplo) crescem 62% enquanto cervejas especiais (aqui temos marcas como a Vedette, Leffe, Duvel e outras importadas) crescem 54% no ano
Customer experiences and stimuli create chaos
It needs to be figured out and data and analytics is the way
Also businesses are trying to figure out the operational “last mile” but the understanding of customer experience is way more important
Know your strategic customer
Daily visit * 30 Min queue = 280 Minutes a week for being loyal
Order ahead + pay by pone are ideal for usuals
April 2013 saw Hellmann’s Mayonnaise launch a month-long promotion at a São Paulo branch of the Pão de Açúcar supermarket. Shopping carts were fitted with touchscreen tablets and NFC sensors, and when shoppers placed a jar of Hellmann’s Mayonnaise into their cart, the tablet detected where they were in the store using NFC technology. Upon walking past a suitable ingredient to accompany the mayonnaise – such as tomatoes for a summer salad – the tablet displayed a video of the recipe. Directions were given to where the ingredients could be found, and shoppers could also opt to share the recipe with friends via social media.
Link: http://www.hellmanns.com.br/home/
Evolve from focus products/brands/transaction to focus on relation
Ptomotions mights not work in one off but yes in long term – depend on how you see it
Personalisation is possible even in colombia
1 Million customers – 24 offers - >25 Million offers per event
10% redemption rates + 8-12% Uplift – Triggers BIGGER VISITS
Customer Journey – Change Management
Align strategy – structure – processes towards the customer
We evolve through data to a real customer focus
We need to focus on data to be objective / leaving aside subjetive positions and gut decisions
Understand who is our - Strategic Customer – Through Data
14X loyal vs uncommited - 50% Head room even in the loyal segment (Pocket Share)
On an average we know that companies are loosing 30-50% of their customer base per year (loyals much less)
Inercia : La inercia (del latín inertĭa) es la propiedad que tienen los cuerpos de permanecer en su estado de reposo relativo o movimiento relativo o dicho de forma general es la resistencia que opone la materia a modificar su estado de movimiento, incluyendo cambios en la velocidad o en la dirección del movimiento
Put your money where your mouth is
Supraparetos : Pareto of customers / Pareto of products /
Telco ended up upselling potential churners by crossing Pareto of churners vs Pareto of upsellers as a way to retain them
Para que – Valor ? ideal future state – Key use cases
Con que información podemos generar el valor? cleaning up historical data, integrating data from multiple sources, breaking down silos between business units and functions, setting data-governance standards, and deciding where the most important opportunities may lie to generate new internal data
Que en que momento? “We needed to walk before we could run. And then we ran like hell.” - it’s critical to go big as quickly as possible
Talk the talk? it’s about not walking the talk. - CEOs and other members of the executive team don’t need to be the experts on data science - The most important role modeling a CEO can deliver, of course, is to ensure that the right kind of conversations are taking place among the company’s top management. That starts with ensuring that the right people are both in the room and empowered, and then continues with direct intervention and questioning to ensure the transition from experience-based decision making to data-based decision making
Walk the walk ! The most important shift, which only the CEO can lead, is to reorganize to put advanced analytics at the center of every core process
Tener la data correcta – visión única del cliente
Identifiar donde y como vamos jugar el juego de analítica
Dar las conversaciones adecuadas acerca de analítica y como se engrana con la estrategia de negocio
Dimensionar y empoderar equipos o crear partnerships para llevar a cabo la visión de los acuerdos
Dominos
Automation of retail Management
Machine learning
Prescriptions
A whopping 65 per cent of millennials love to cook and consider themselves experts in the kitchen. And 86 per cent enjoy experimenting with new recipes.
Millennials like to build their shopping trips around a particular recipe, rather than simply restocking their pantry. They also place less emphasis on discounts when menu planning compared to other generations.
Inercia – soy mas certero en acciones que ya han sucedido
Conozco mejor al cliente
Soy capaz de ganar por medio de una experiencia personalizada y creo un panal de miel
Data
Ciencia
We have 25 years of experience mining and understanding this rich data source giving us detailed information on each customer
From this we can build meaningful targeting cells to find only relevant customers
We also own Sociomantic, a leading programmatic DSP, and have been able to make a direct link between our individual customer shopping data and their cookie pool
This allows us to find offline and online relevant customers and serve them ads for your brand
Finally, we are able to see exactly which customers saw the campaign. By linking these back to shopping data, offline and online, and comparing against a benchmark control group, we can understand the true offline and online sales effect of your campaign.
Omission bias is the tendency to worry more about doing something than not doing something, because everyone sees the results of a move gone bad, and few see the costs of moves not made.
Loss aversion describes the tendency to play not to lose rather than play to win
Personal offers have 5 times better engagement tan massive offers
Advised on tech, deployment, data etc.
Personalizacion real
Personalización aparente
Engagement
Stop looking in the wrong places
Put your money where your mouth is
Start focus on your “loyalty approach” and let the rest come