Market segmentation involves dividing customers into groups of people with similar characteristics or interests in order to make your marketing more effective.
Market segmentation involves dividing customers into groups of people with similar characteristics. This makes your marketing more effective with smaller targets. Segmentation ranges from identifying customer attributes to complex aspirations and attitudes. The objective of segmenting the market is to maximise the return from your marketing spend by tailoring your offering to each group.
Market segments refer to firmographic or demographic indicators such as your customer’s location or industry. Yet many businesses do not even have complete information on their customers. This is where JTA can help by completing the information from third-party databases such as Dun & Bradstreet.
Using our text-matching processes we can lookup customers in the database and return the intelligence to your systems. In addition, we can deploy web scraping techniques which can effectively search for your customer online and then extract intelligence from the web pages found.
Internal sales data can be used to understand the behavior of each customer for Market segmentation. When analysed using the right techniques the data starts to reveal patterns that cannot be discerned by the human eye. Obviously every customer’s behaviour will be unique but the techniques we use will allow us to see similarities in these behaviors. We use these similarities to place customers into groups. The number of groups is very important in determining the final benefit from the clustering and this decision is an important part of any segmentation project.
Once we have decided on the clusters we identify the attributes that are common to each. These attributes help us to attach a cluster name to each of our client’s customer records.
During a recent project we analysed customers who installed our client’s software on their computers. We were able to find customers who had experimented with the software but ultimately not invested. We also found customers who made a steady flow of purchases but it was hard to predict what was driving the purchase.
The key was finding a group of customers who made a significant investment in the software. When we did a further analysis we found that these customer shared certain attributes.
Business Intelligence (BI)
From simple reports to complete BI strategy that fully meets your business needs, we can help. Enjoy the flexibility that mobile and self-service BI brings to an organization without re-inventing the wheel.Read More
We have built many market models for our clients over the years allowing them to better understand the dynamics of the market and also to measure their performance. Market models explain what happened in the recent past and also allow us to forecast what is likely to happen.Read More
We can apply complex algorithms and Machine Learning and techniques of predictive analytics to a great variety of problems. Advanced analytics is a subset of data science that uses high-level techniques to predict future trends and behaviours.Read More
Text Matching and Analytics
Being able to match two data sources is vital to good analysis and we have a proven track record and methodology. We can also apply statistical and machine learning techniques to textual data to extract information and sentiment from the data.Read More
Good Data Science starts with a deep understanding of how data should be manipulated and stored. Traditional data and big data need different approaches but the underlying discipline is the same. The way we store data differs greatly and we can advise on how to adapt your platforms for better insight generation.Read More
We take integrated security very seriously at JTA. We have the most stringent security practices and hold ourselves to a higher standard than most. JTA can build dashboards that intelligently adapt their content depending on who is viewing it to help users comply with corporate accountability legislation.Read More
Predictive maintenance is a benefit that we can bring to an organization by predicting failures and quality issues. This can avoid downtime and reduce maintenance costs.Read More
Using data prediction to identify when a certain customer is at high risk of churn allow clients to prevent attrition and keep existing clients. This helps immeasurably and keeps you with one in the hand rather than two in the bush.Read More
Internet of Things
The Internet of Things is the network of small devices that have an embedded processor to measure, control and connect to the internet. Many such devices benefit from sophisticated algorithms and data science techniques. We can develop solutions ready to roll out for deployment on the microcontroller.Read More
Companies which prefer to outsource data analytics instead of deploying a solution in-house can use JTA to form a virtual team to manage outsourced data analysis. Our team would typically access your data and your infrastructure and do the analysis remotely.Read More
Market Basket Analysis
Market Basket Analysis help companies understand how their customers make purchases. The objective is to help to configure sales promotions, loyalty programs and store layout.Read More