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Adding Location To Loyalty Card Apps

There are obviously lots of different kinds of loyalty cards. I have somewhere between 10 and 20 cards ranging from Coffee Cards through to Airline Frequent Flyer Cards. I have so many I can’t carry them all in my wallet, which is unfortunate when I find myself in a position to use one. I do carry a Smartphone, so there are opportunities to carry apps. Many retail companies in New Zealand now have apps, mostly on iPhone and Android. They range from cafe’s and fast food companies to tourism and banks. Features include the ability to order food from a specific store, the ability to view the store on the map, make reservations and view points.

A lot of companies have had back on using Smartphone applications for loyalty programs on the basis that there are not enough people using them. At the last Social Media Club Auckland event one of the panel questions was what is the penetration of Smartphones in New Zealand. No one had an answer as the telco’s generally don’t want to share this competitive information. However in this month’s IT Brief there was a quote from Tony Baird of Vodafone saying that 66% of their mobile users now have Smartphones. That’s pretty high penetration and growing rapidly as is their data traffic which grew from 60TB in June last year to 135 TB in June this year. It would be reasonable to expect at least Telecom to be showing similar penetration.

So, in my last post I talked about a number of aspects of getting to know your customers. Given the statistics in the poll on my previous blog almost 70% of loyalty card holders do not specifically head to shop at a store where they have a loyalty card. In effect this says that the loyalty card in most cases is not attracting people to do business, or effectively be loyal to the retailer or group who invest a lot of time and money into the card systems in manufacture, distribution and all the other aspects of running a loyalty program.

What is missing? I believe that one aspect is not really understanding the customer. Let’s start simple. How do you get a loyalty card? Obviously it varies. Some cards like a coffee card are as simple as the retailer offering the card to a customer when they are in the store buying a coffee, the retailer invites them to start using a card, typically offering your 11th cup free. At the other end of the scale there are forms to fill out, which confidentially provides the company with significant information about the person. This may include:

  • Home address
  • Home and Mobile Phone numbers
  • Age
  • Household income
  • Interests
  • Family details e.g. single, married, children under or over a certain age
  • Occupation
  • Email address

In theory this enables the loyalty program to target information to the member and under strict Direct Marketing opt in guidelines, make offers to the members, which typically comes in the form of eDM’s and Direct Mail. The latter is a very expensive form of marketing as is normal advertising such as print, radio and TVC’s. For many industries and products this is tough business. How often do you buy a lawn mower, a TV or an iPhone? The marketing only works when you are open to buy. I recently purchased a new lawn mower, but it was the first one in over 10 years. If I had kept every lawn mower advertisement that arrived in my letter box trying to sell me one and looked at the creative, print and distribution costs, it might have been cheaper for them to give me a lawnmower. Of course all of this advertising is focussed on products that everyone is selling, there is very little focus on products that are unique. Everyone has a promotion on a printer, a TV, an iPhone which forces everyone to focus on price, heavy discounts and the consumer wins if they are looking for that product. Profits up the value chain are massively eroded through the competitive pricing and costs of marketing.

Data Mining and Business Intelligence are already used by some companies and very soon GeoSmart will be launching the much anticipated BIonaMAP we have discussed in many blogs in the past. This will allow companies to better understand their customers on the basis of the data provided, including the ability to view their customers and query their information in relation to the Department of Statistics mesh blocks and area units.

Canberra Income $100,000+

In this example we looked for   where the average household income in Canberra (yes we do Australia too) is equal to or greater than $100,000. If we were looking for loyalty members who had higher than average discretionary spending capability, this could be a very useful tool for target marketing. We could potentially make special offers by overlaying our loyalty card members in this SaaS (Software as a Service) application and then querying them from a combination of the information we have about them and the information the statistics department has about people in the area.

In the coming blogs I will get into more detail about what the implications are from the perspective of location, but like anything you need to start at the beginning and in many cases as I have outlined,  scatter gun marketing, throwing leaflets into letter boxes does not effectively target people who might change their behaviour in favour of your product or brand.

The key to loyalty is a relationship and this comes from engagement. You don’t engage well by putting something in someone’s letterbox. You engage by understanding who they are, what their needs are, when they are out and about and open to buy. As a retailer with a loyalty program you have huge amounts of information about your clients at your fingertips, which is untouched.

Here’s a simple example to finish this blog. Paper Plus not only supports Fly Buys, but they also have their own card called My Big Deal. They run promotions for people who use that card. Right now they have a sale on certain children’s books. If you buy the books using your loyalty card and they store that information, they now know (if they didn’t ask in their registration form) that you either have children or have a relationship with children, perhaps as a grandparent. So they know you buy children’s books. This is valuable information that you could take advantage of in your proximity based marketing application.

More on the location based aspect for apps is coming up, now that we have covered some basics. If this is of interest, please bookmark or subscribe. If you know of someone else who might be interested, why not send them a link? If you would like to discuss these concepts with us about your own business, please contact us.

September 20, 2011 Posted by | Australia Maps, Business Analytics, Business Intelligence, Business Tools, Data Mining, Distribution, geosmart, GIS, iphone, location based services, Loyalty Card, Mapping Applications, Marketing, new zealand, new zealand maps, Print Advertising, proximity based marketing, Radio Advertising, Retail, Retail Profit, SaaS, territory management | , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Analysing Car Sales Using Web Map Part 2

Last week I blogged about analysing your car sales (picking an industry at random) from a dealership on a map. I looked at comparing sales between reps by looking at where the clients lived on a map.

The concept is that we have a rich amount of data about our customers, especially when it is large ticket items and their are warranty and other ongoing commitments, not to mention the desire for repeat business. I used examples such as gender, personal or business use, age group, whether there was a trade in and so on. There is of course a lot more information available and there are also of course KPI’s. Please note that in order to do the things I’m talking about, you do not need expensive GIS software or specialist engineers. You already have the people you need, although in some cases an external consultant may help you see things from a fresh perspective.

Selling high ticket items like cars, real estate, quality furniture and furnishings is a tough business, especially in New Zealand and Australia. It’s competitive and the industries also have high staff turnover meaning that personal relationships are likely to be lost. This means that business intelligence and the ability to data mine becomes a lot more important. But at the risk of playing a broken record, finding useful information from your CRM or accounting software other than basic information is difficult. Now most companies in these industries have done business a certain way for many years and often the sales people go from one company to the next, staying in the industry and reinforce the concepts that this is the way the industry does it and we know the industry.

Our focus takes a different tack. These industries have leaders who swim against the current and use whatever technology or new ideas they can find. Are the over achievers or sales champions working harder? I would argue that most of them are working smarter rather than harder. The difference is that they look for ways to work smarter, whereas the other 95% plus use what they are given. The fact that you are reading this blog puts you in the top 10%. I’ve been told that in the industries I’m writing about here, the Pareto Principle is actually way out. They say that the best business is actually done by less than 5% of the sales people.

So what can you do as a company to improve your odds? How about trying something different? Let us help you find the low hanging fruit that has been eluding you. Lets use some business intelligence and move on. Now ideally what I am talking about would start at Head Office with the Sales Manager, Marketing Manager, Financial Controller or perhaps all of the above. Who is motivated to increase your profitability and productivity? How can you make it easy for your branches or dealerships to improve their performance?

In the last blog we talked about measuring performance at the dealership level, by the dealership. I’ve been in those offices and seen sales people going through the accounting system looking for people or companies whose leases are about to expire, or who last made a purchase 3-5 years ago and making prospecting phone calls. I’ve seen them cold calling using Yellow Pages or other directories. I’ve attended some of the sales meetings as a guest and seen the white board which shows the branch budget by model, the sales to date for the month and the stressed looks on the faces of all involved whose income and livelihood depend on achieving those targets. It’s very seat of the pants and very reactive.

Imagine if at head office, you could provide the dealerships with business intelligence that increased branch sales nationally. If you could give them information that allowed them to increase productivity and profitability and at the same time increase your brand market share. Wouldn’t it be nice to achieve the KPI’s you or the manufacturers are setting? Selling the cars (or whatever your product is) that have the higher margins, or perhaps more accessories which carry that extra margin.

How? I’m sorry but I’m going to tease you here. Have a look through the previous blogs here because a lot of the information I have to share works across multiple industries. Bookmark this page because I am going to write Part 3 of Analysing Car Sales Using Web Map some time in the next few days and give you some specific examples. Where are your potential low hanging fruit? Do you want to pick them? Jump on the school bus and drive through the opposition.

Drive through the opposition

Of course you can also contact us and discuss how we can help you or ask for a demonstration. You can also email me directly. We would also like to hear from business and franchise consultants looking to add tools to their toolbox.

Also please feel free to leave a comment or ask any questions here on the blog, we welcome your feedback.

January 26, 2011 Posted by | Auckland, Australia, Australia Maps, Business Analytics, Business Intelligence, Car Sales, competition, Data Mining, Distribution, geosmart, GIS, location based services, map tools, Mapping Applications, maps, Marketing, new zealand, new zealand maps, Real Estate, ROI, SaaS, sales territory, software, territory management, Uncategorized, Web Map, web maps | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment