ALL COUNTRIES:
September 18, 2020 @ 11:59 AM By BRIJESH PRAJAPATI
Far too many companies that I consult with sit on loads of good customer data and do nothing with it. It’s really amazing because in that data is a gold mine of insight.
Are you resting on loads of data that you aren’t using? Would you like to read how you can use it? Here are the most popular ways of How DataMining Can Help You Get a Competitive Edge
Sometimes called “affinity analysis,” this seems at the items that a customer bought, which could help brick-and-mortar stores increase their layouts or online firms like Amazon recommend related products. The “basket” refers to what shoppers use when they are shopping.
It’s based on the assumption that you can predict future customer behavior by past performance, including purchases and preferences. And it’s not just grocery stores that can use this data.
Here are some steps it can be used in different industries:
And all the products don’t have to be acquired at the same time. Most client analytic tools can watch purchases over time, thus helping you spot trends or possibilities that you can test for future developments.
This looks at when clients bought and tried to predict when they will buy again. You could use this type of analysis to determine a policy of planned obsolescence.
It is also looking at the number of clients in your market and predicts how many will really buy. For instance, think if you have a coffee shop in Seattle. Here are issues you might ask:
By analyzing client purchasing patterns and looking at the demographics and psychographics of clients to make profiles, you can create products that will sell themselves.
Of course for a marketer to get any benefit out of a database, it must continue to grow. You maintain database information from sales, surveys, subscriptions, and applications. And then you target clients based on this intelligence.
Database marketing starts with gathering information. For instance, if you owner of a coffee shop, your database might consist of these things:
As you gather data, start to look for opportunities like the best days to run a discount advertising. Ask yourself: Who are your local clients, and how you can turn these clients in advocates for your store?
This is important for offline or online businesses. For the offline, a business looking to increase by adding stores can evaluate the amount of merchandise they will need by looking at the exact layout of a current store. For an online business, merchandise planning can help you manage stocking options and inventory warehousing.
Ignoring this database strategy can lead to bad performance in times of customer service. If you can’t manage typical runs on services, in-store expectations aren’t met, or your price doesn’t match the market; clients will jump the boat and go to your competitors.
If your company includes issuing credit cards, you can gather the information from usage, classify customer segments, and then based on information on these segments, develop programs that increase retention, boost acquisition, target products to develop and design prices.
There are costs built into issuing credit cards that most businesses can’t understand, but if you can…do it. Analyzing client purchasing patterns based on their credit card habits will give you insights into behavior that can lead to promotions and programs that will result in higher profits and better client loyalty.
If your business depends upon telecommunications, then you can mine that incoming data to see use patterns, create client profiles from these patterns, and then build a tiered pricing structure to maximize advantage. Or you could build promotions that reflect your data.
A China mobile worker with about 700,000 clients wanted to analyze their data to create offerings to fend off competition. The first thing the project team behind gathering and analyzing the data did was to create an index to describe caller behavior. That index then collected the callers into 15 segments based on elements like this:
From that data, the marketing agency then planned policies directed at each segment, namely improving client satisfaction, delivering quality SMS service for another group, and helping another group to use more minutes.
Whether it’s based upon mobile user data or client service calls, dive into the data available in call detail reports to look for ways to increase current service, promotion opportunities, or ways to shorten time on call.
In a world where price wars occur, you will get clients jumping ship every time a competitor offers lower prices. You can use datamining services to help reduce this churn, especially with social media.
One of the best uses of datamining services is to segment your clients. And it’s much simple. From your data, you can break down your market into important segments like age, income, occupation, or gender. And this works whether you are running email marketing campaigns or SEO strategies.
Segmentation can also help you understand your competition. This insight alone will help you know that the usual suspects are not the only ones targeting the same client money as you are.
This is very important because when I ask most consumers who their competitors are, they give me a list of people. I then hand them back a bigger list. Most companies need to expand their circle of competitors out two or three times if they plan on competing efficiently. Datamining will help you do that.
Datamining is also perfect for creating custom products designed for market segments. In fact, you can predict which features users may want, although really innovative products are not created by giving clients what they require.
Very truly innovative products are produced when you look at the data from your clients and spot holes customers are demanding to be filled. When it comes to building that product, these are the elements that must be baked into the product.
Lastly, datamining will allow you to predict how many people will really cash in on the warranty you’ve set up. This is also right for guarantees.
One of the best ways to building a successful guarantee is to look at the data of past guarantees, sales, and earnings. Doing so may lead you to offer a 110% money-back guarantee to get an edge over the competition.
The more data you gather from clients, the more value you can deliver to them. And the more value you can deliver to them, the more income you can generate. Datamining is what will help you do that.
About the author:
Hir Infotech is a leading global outsourcing company with its core focus on offering web scraping, data extraction, lead generation, data scraping, Data Processing, Digital marketing, Web Design & Development, Web Research services and developing web crawler, web scraper, web spiders, harvester, bot crawlers, and aggregators’ softwares. Our team of dedicated and committed professionals is a unique combination of strategy, creativity, and technology.