Just analyse what you have, and gain more from your data
Ok, you might be thinking why do I need to? Let’s get down to it. Data is key in running your business. As we have said before 85%, if not more, of your customer data and the activity data you have has a location element. We call it “The power of Where”, why?, because everything happens somewhere.
We all know that the purpose or running a business is to increase sales of what you do. Win more business. And help more customers. We also know that data plays a key part in understanding what is happening and when it is happening. The ‘Where’ and the analysis of where, helps you take your CRM data and plot the locations of the activity that is going on within your Sales, Marketing and Service departments.
Analysing Data
Granted you might be a local business and understanding your customer “Where” might not be that important. Unless you need a map for your website. Although, for businesses that rely on ecommerce, national and international sales and marketing activity, there is something to be said about understanding where the best results are gained and where your productivity comes from.
In this blog demo we wanted to highlight two of the key features of analysing data by location with Mapsimise. Because Mapsimise is a SaaS (Software As A Service) platform that helps you understand your data by location. If you don’t yet have an account, you can learn more HERE
As you will already know, there are many ways to analyse data. You can filter, you can colour, you can cross match, but now you can do all this by location.
Data Clusters
So, let’s get started and take a look at Clustering and Heatmaps. Both are features of Mapsimise. First let’s look at how you can cluster data by location across several different types of data.
Just to give an overview any map that is created can have several layers of data. This means you can show related business data all in one view, and then each layer can have a cluster.
Let’s take a look at what this means. Basically we perform a count based on density and give a geo location shape from the individual cluster. This allows you to see how the clustered data relates to a given location. We do this for every layer that has clustering switch on.
Here we show how this is done using several layers of data.
Heat Maps
What else can you do? well let’s take a look and share what you can do with heat maps. More importantly, overlaying heat maps to see the density of activity. Whether it’s sales, marketing or service or even the amount of your customer activity. Using heat maps in this way give you another view of your data.
What is important to note here is you have the ability to change the colour and the density of any one heatmap. Also the ability to overlay the heatmaps with different data type.
In the video below you can see how this is done and how you can switch on the layer heat maps while changing the features.
But Why
Let’s answer the why. The great advantage of analysing data by location means, with the results and additional knowledge, you will be able to impact the ways things are done. You can also increase productivity as we all want to achieve more with less.
Let’s take a look at some of these and show how location intelligence can add value.
Targeted Marketing:
By understanding the geographic distribution of your customer base, you can quickly tailor marketing campaigns to specific regions or demographics, understanding and focusing on the who and the where. This targeted approach will help you and your team ensure that your marketing efforts are more relevant. It will also resonate better with potential customers. This could help lead to higher conversion rates and ultimately increased sales.
Optimised Sales Territories:
Analysing sales data by location allows you to identify areas with high sales potential and allocate resources accordingly. By optimizing sales territories based on geographic insights, sales representatives can focus their efforts where they are most likely to yield results, resulting in improved sales performance and revenue growth.
Localised Product Offerings:
Geospatial analysis can reveal regional preferences and trends, enabling businesses to customise their product offerings to better meet the needs and preferences of different geographic markets. By offering products or services tailored to specific regions, businesses can attract more customers and drive higher sales volumes. We all now the days of mass blanket marketing via email are coming to an end, with read rates at an all time low for cold data, using content and business authority by location can help focus results.
Strategic Expansion Opportunities:
Location data can help identify untapped markets or underserved areas where there is potential for business expansion. By analysing demographic, economic, and competitive factors by location, business owners like you could make informed decisions about where to expand operations, allowing you to capture new revenue streams and grow your business. Mapsimise has full access to street view so you can drill down and search for business types in an area to understand prospective sites or location for trade.
Improved Operational Efficiency:
We all want to do more with less cost and resource so analysing data by location can also lead to operational efficiencies that contribute to revenue growth. For example, optimizing logistics and supply chain management based on geographic insights can reduce costs, shorten delivery times, and improve customer satisfaction, ultimately leading to increased sales and repeat business.
Location intelligence will help you with your data to add an additional dimension of understanding WHERE things are happening and help you understand Why. Geospatial tools like Mapsimise can help you visualise your sales, marketing, customer, assets and locations so let us help you get your data mapped with mapsimise.com