Accurate recruitment has been an age-old problem in the world of quantitative research. Think about the last seven days: How many hours did you spend watching Netflix? What is the total amount of money that you spent buying groceries, both offline and online? How many days ago did you last open an app that you do not open every day? The human mind falters in recalling the details of actions taken today, let alone in the last week or month. Nonetheless, traditional recruitment still relies heavily on the user's claim of her category and product usage, purchase history, etc., which leads to inaccurate targeting. An error in recruitment can lead to a much higher gap between the derived insights and the truth. This problem is accentuated even further for mobile-first brands where 'micro-segments' are based on not one but multiple parameters, like purchase history, wallet size, dormancy, product category, etc. In cases where the client's database is used to connect with users accurately (through email/SMS/call), the outcome ends up being inefficient in terms of scale, investments and/or timelines. Can technology really help in accurately recruiting users on the basis of all these parameters with zero margin of error, and complement the insights collected through claimed research at scale, as well as in a cost-efficient manner? This paper demonstrates how a mobile-first brand and its research partner came together to solve the micro-segment recruitment of its app users, in order to solve the core problem of user retention.
How to create a framework to discover a set of adjacent value spaces based on a motivational assessment of stakeholders of the cement value chain. The Holcim Argentina case understanding Latin America people's dream of building the first home.
How to create a framework to discover a set of adjacent value spaces based on a motivational assessment of stakeholders of the cement value chain. The Holcim Argentina case understanding Latin America people's dream of building the first home.
The 3 takeaways of the presentation are:- Understand LGBTQ+ travellers: to what extent and in what ways does being LGBTQ+ impact travel behaviour and travel needs? - Gain practical solutions: how can Booking.com (and you) better support LGBTQ+ travellers at all stages of their customer journey?- Be an LGBTQ+ ally: what are the considerations for brands when communicating LGBTQ+ allyship externally?
Why considering and addressing core business behaviours as well as the end-to-end customer journey, driven by customer insight, is essential in creating and implementing an authentic diversity and inclusion strategy.
Every single day, millions more people will decide to shop online for an FMCG category for the very first time. This is a pivotal moment for brands. It is a moment when a consumer is highly likely to change from their typical brands, and etailers have a fundamentally disruptive influence on which brands a shopper will be exposed to. Online shopping is nothing new in 2018, however FMCG shoppers are starting to participate in the e-commerce revolution at a scale not previously seen in the past decade. To reveal key trends, identify opportunities for clients and offer cautionary tales, NAILBITER digs through four years of data, on 1100 brands, across more than 30 categories and dozens of countries to reveal the comprehensive shopper journey map of the omnichannel phygital consumer. Leading e-commerce retailers, such as Amazon, are entering the market with their own product lines and their own promotion agenda. Voice assistants are now being asked to make purchases and this has its own disruptive implication to the industry. Virtual reality (VR) is also starting to serve a function within the industry, as it can be used to replicate a store environment. With consideration to a number of key trends, NAILBITER will reveal the most comprehensive shopper journey map that encompasses all shopper types in a global multi-retail environment, including brick-and-mortar, e-commerce, traditional markets, phone commerce, home delivery, click-and-collect and voice.
Every single day, millions more people will decide to shop online for an FMCG category for the very first time. This is a pivotal moment for brands. It is a moment when a consumer is highly likely to change from their typical brands, and etailers have a fundamentally disruptive influence on which brands a shopper will be exposed to. Online shopping is nothing new in 2018, however FMCG shoppers are starting to participate in the e-commerce revolution at a scale not previously seen in the past decade. To reveal key trends, identify opportunities for clients and offer cautionary tales, NAILBITER digs through four years of data, on 1100 brands, across more than 30 categories and dozens of countries to reveal the comprehensive shopper journey map of the omnichannel phygital consumer. Leading e-commerce retailers, such as Amazon, are entering the market with their own product lines and their own promotion agenda. Voice assistants are now being asked to make purchases and this has its own disruptive implication to the industry. Virtual reality (VR) is also starting to serve a function within the industry, as it can be used to replicate a store environment. With consideration to a number of key trends, NAILBITER will reveal the most comprehensive shopper journey map that encompasses all shopper types in a global multi-retail environment, including brick-and-mortar, e-commerce, traditional markets, phone commerce, home delivery, click-and-collect and voice.
Conducting a research for the Toys Industry is a big challenge. We have conducted a 360o project (bi-weekly surveys combined with behavioural data), that focuses on the customer journey made by parents buying toys during the Christmas shopping campaign.
Conducting a research for the Toys Industry is a big challenge. We have conducted a 360o project (bi-weekly surveys combined with behavioral data), that focuses on the customer journey made by parents buying toys during the Christmas shopping campaign.
Insights and strategies for different channels and touch points are usually considered in isolation... But how do these different channels and touch points influence and convert an individual shopper in the same Path to Purchase?