Quantiful

Quantiful are experts in the design of intelligent customer engagement programmes. Launched in 2015, our mobile and web-based solutions deliver offers and comms which are hyper-personalised, predictive and responsive to your customers’ needs and behaviour. These solutions can be used for direct engagement with your customers, to support sales staff in store or for staff engagement.

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Customer engagement is all about improving products/services of a company and working on measures to factually improve the retention level of any consumer. Quantiful's customer engagement programs can help your brand turbo boost.

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Churn reduction is all about working on measures to reduce the probability of reducing the scope to leave customers. It is about making customers stick with the company.

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Precision marketing is a marketing technique which means successful marketing is about retain customers. Precision marketing emphasizes relevance as part of the technique.

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Quantiful can help you improve customer loyalty by offering you insights about what work. The company can help you devise new age services and solutions. It can help you devise improved loyalty programs that can help your brand stay competitive on the ever evolving world.

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Machine Learning is a method of data analysis that automates analytical model building to classify an event, like a response to an offer, and predict an outcome. The model is self-learning and improves itself by observing the newer data thereby increasing the effectiveness of the model.

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Machine Learning is the science behind Recommendation systems. When it comes to building a recommendation system, developers usually adopt two basic approaches – a collaborative filtering method or a content-based approach.

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Today’s loyalty programs need personalisation at their center i.e. offers and rewards that are based on the customer’s interactions, behavioural history, profile etc. The data gathered needs to be processed and analyzed.

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Precision Marketing At Your Fingertips. Visit http://www.quantiful.co.nz/about

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What Is Predictive Analytics?

With Quantiful's easy-to-use and powerful tools, you can build and deploy measured predictive models directly into your core business processes to identify trends, understand your customers, improve your business, predict customer behaviour and, most importantly, make strategic decisions for better marketing and business performance.

What is predictive analytics?

Predictive analytics derives information from existing data sets (including current and historical data) to determine possible patterns and predict future outcomes and decisive trends. Predictive analytics core capability is that it can forecast what might happen in the future with a degree of reliability, and its forecasts includes what-if- conditions and risk analysis.

Predictive analytics uses data, data-oriented algorithms, and machine learning to predict possible future outcomes based on current and historical data, resulting in informed insights that can lead to better actions.

Why is there a surge in the number of companies turning to predictive analytics to improve their bottom line and gain competitive advantage?

The top reasons for the increase in interest in predictive analytics include:

More scope to gather data and more interest in using this data to produce beneficial results

Availability of faster, affordable cloud storage and user friendly software

Volatile economic conditions and the need for key differentiators

Because of this, the task of predictive analytics is no longer confined within the domains of statisticians and mathematicians and, as a result, even a company's business executives can now use these technologies.

Benefits of predictive analytics

Predictive analytics can help companies’ make better decisions by identifying marketing trends, understanding customer behaviours, improving business performance, assisting in decision making and predicting behaviours.

Applications

Predictive analytics can be used for a number of applications including:

Fraud detection and security

Marketing

Risk

Clinical decision support systems

Customer relationship management

Portfolio level prediction

How to get started?

To get started with predictive analytics, you first need to agree the problem you want to solve i.e. what do you want to be able to predict from the data?

Unfortunately, predictive analytics is often hindered by a company’s inability to turn these insights into decisive, valued actions. Quantiful cannot only develop these insights, but can also deploy the data findings directly into your processes. Having the ability to better manage your data and predict customer behaviour, can lead to a new scale of success for your business.