Customer Observer

Convert Your Data into Sales with Customer Observer

Chances are your business’ most underused resource is its customer data. Your database of customer purchases, preferences and loyalty behaviour can be a rich source of new sales. Customer Observer is the key to unlocking them.

The Power of Customer Observer

Customer Observer is the enterprise solution for marketers that want to extract the full value from their customer databases. It combines sophisticated data science methodologies with advances in cloud computing and processing power to examine high volumes of merchant, transaction and demographic data, and to deliver high-quality marketing intelligence that leads to increased revenues.

DATA CLEANSING

Our data cleansing services eliminate inaccurate and corrupt data, giving you the high-quality data that underpins better decisions.

DATA INTEGRATION AND VISUALIZATION

Combining data from multiple sources sounds simple but the multiplicity of data sources and the sheer volume of data they produce can make it a major challenge. Our deep experience in data integration and visualization makes the complex simple.

INSIGHTS AND INTELLIGENCE

Meet your market with the right offer at the right moment along the purchase journey, nurturing sales leads and fueling growth.

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Customer Observer
Benefits

Customer Observer Revenue

Uncover new revenue streams

Customer Observer Business Decision

A single source of truth for smart business decisions

Customer Observer Business Analytics

Consistent and high-quality business analytics data

Customer Observer Business Data

Highly visible representations of your business data

Customer Observer Connections

Personalised connections with your customers

Who It’s For

Customer Observer Datasets

Organisations with large datasets – 100,000 transactions and up – and the ambition to put them work.

Customer Observer Growth-oriented Business

Any growth-oriented business with a customer base: retail, fashion, finance, airlines, loyalty networks, you name it.

Customer Observer Digital Marketing

Marketing teams tired of shotgun-style digital marketing campaigns.

How Customer Observer Works

Unlock Value in Loyalty Marketing

You are a loyalty management company. Providers have traditionally used your platform to build customer loyalty and to promote products to customers. But they’ve left plenty on the table because, to date, little analysis has been done of across-category buying patterns.

This is where Customer Observer unlocks value. Imagine the ability to analyse your customers’ purchasing decisions, all of them, by amount and frequency across all categories and all providers, and then to create customer groupings from that data.

For example: you find that customers who spend over $10,000 annually in hardware also tend to buy premium kitchenware, watch movies in Gold Class, buy premium fuel and buy golf equipment at sporting goods stores.

Now you can promote premium fuel by offering that group loyalty rewards of Gold Class movie tickets when they buy it from an associated brand. Or you can offer a voucher for premium fuel when they reach certain loyalty limits.

It’s highly targeted offers like this that drive purchasing decisions and upsell. And it’s possible because the machine learning and AI capabilities of Customer Observer can powerfully and precisely examine an immense number of products and purchase combinations. Traditional ad hoc reporting or “hunch-based” marketing cannot look that deeply into your transaction data and cannot compete with its results.

Granular Marketing for a Trans-Tasman Consumer Electronics and Appliance Retailer

This high-profile retail chain sells through stores in Australia and New Zealand, as well as online, and has 50,000 customers in its loyalty programme.

It has invested heavily in television and print campaigns and has tried electronic marketing with limited success. It also has years of transaction data that identifies high spenders, best-selling products, the highest-earning stores and so on, but is silent about why customers buy and what their relationship is to product, location and promotions.

Customer Observer can turn that data into sales. Using advanced machine learning and AI it will analyse all customer transactions by product category, sub-category, location, day/time and sales method to accurately identify purchase patterns. It will then use logical associations to determine common behaviour and create customer groups.

At this stage, Customer Observer has already unlocked value in the database by helping the company truly understand its customers’ behaviour and showing it how to match marketing spend at a granular level to that behaviour.

The final step is the Holy Grail. Using advanced decision tree analysis and machine learning, Customer Observer can move on to accurately determine the next product each customer is likely to purchase. This provides the source data for potent individualised marketing campaigns that can at least double adoption and response rates.

Online Shopping Business Boosts Sales

With more than 700,000 items in its online catalogue and visitor traffic climbing steadily, this New Zealand-based online retailer has plenty going for it. But there’s a downside: too many visitors are browsing without buying.

Fixing it requires Customer Observer from DSS. Rather than promoting products on a best-guess basis, it starts with the question: what does the information we receive from cookies, referrals and sign-up profiles tell us about what each customer is likely to buy?

Customer Observer harnesses the immense processing power of machine learning and AI to analyse all customer transactions and even site traffic data to segment customers and derive a market basket specific to each one. Next time they visit the portal, they are presented with offers that they are statistically more likely to be interested in. It’s a personalised shopping experience that increases the site’s relevance to the visitor and boosts sales on a per-customer basis by between 15 and 20 percent.

Unlock Value in Loyalty Marketing

You are a loyalty management company. Providers have traditionally used your platform to build customer loyalty and to promote products to customers. But they’ve left plenty on the table because, to date, little analysis has been done of across-category buying patterns.

This is where Customer Observer unlocks value. Imagine the ability to analyse your customers’ purchasing decisions, all of them, by amount and frequency across all categories and all providers, and then to create customer groupings from that data.

For example: you find that customers who spend over $10,000 annually in hardware also tend to buy premium kitchenware, watch movies in Gold Class, buy premium fuel and buy golf equipment at sporting goods stores. Now you can promote premium fuel by offering that group loyalty rewards of Gold Class movie tickets when they buy it from an associated brand. Or you can offer a voucher for premium fuel when they reach certain loyalty limits.

It’s highly targeted offers like this that drive purchasing decisions and upsell. And it’s possible because the machine learning and AI capabilities of Customer Observer can powerfully and precisely examine an immense number of products and purchase combinations. Traditional ad hoc reporting or “hunch-based” marketing cannot look that deeply into your transaction data and cannot compete with its results.

Granular Marketing for a Trans-Tasman Consumer Electronics and Appliance Retailer

This high-profile retail chain sells through stores in Australia and New Zealand, as well as online, and has 50,000 customers in its loyalty programme.

It has invested heavily in television and print campaigns and has tried electronic marketing with limited success. It also has years of transaction data that identifies high spenders, best-selling products, the highest-earning stores and so on, but is silent about why customers buy and what their relationship is to product, location and promotions.

Customer Observer can turn that data into sales. Using advanced machine learning and AI it will analyse all customer transactions by product category, sub-category, location, day/time and sales method to accurately identify purchase patterns. It will then use logical associations to determine common behaviour and create customer groups.

At this stage, Customer Observer has already unlocked value in the database by helping the company truly understand its customers’ behaviour and showing it how to match marketing spend at a granular level to that behaviour.

The final step is the Holy Grail. Using advanced decision tree analysis and machine learning, Customer Observer can move on to accurately determine the next product each customer is likely to purchase. This provides the source data for potent individualised marketing campaigns that can at least double adoption and response rates.

Online Shopping Business Boosts Sales

With more than 700,000 items in its online catalogue and visitor traffic climbing steadily, this New Zealand-based online retailer has plenty going for it. But there’s a downside: too many visitors are browsing without buying.

Fixing it requires Customer Observer from DSS. Rather than promoting products on a best-guess basis, it starts with the question: what does the information we receive from cookies, referrals and sign-up profiles tell us about what each customer is likely to buy?

Customer Observer harnesses the immense processing power of machine learning and AI to analyse all customer transactions and even site traffic data to segment customers and derive a market basket specific to each one. Next time they visit the portal, they are presented with offers that they are statistically more likely to be interested in. It’s a personalised shopping experience that increases the site’s relevance to the visitor and boosts sales on a per-customer basis by between 15 and 20 percent.

Start Converting Your Customer Data into Sales