1603191600
Customer segmentation is a process that separates a company’s customers into groups based on certain traits (age, gender, income, etc.), and an effective analysis can help a company make better marketing decisions. In this post, I will share a customer segmentation analysis based on data provided by the company — Arvato. Arvato is a supply chain solutions company, and the dataset I used for my analysis contains customer demographics data for a client company. I also built a model to predict the response rate of mail-out advertisements.
Below I will walk you through the details of my analysis using both unsupervised and supervised learning methods. Two datasets, customer data from a client company of Arvato and general demographics data from Germany, were analyzed to answer the following questions:
1. Who are the loyal customers of the client company, and with a change in marketing strategy to expand customer demographics, who are the potential customers to target?
2. When the client company sends out a mail-out offer, can we predict the responding rate?
Who are the loyal customers of the client company, and with a change in marketing strategy to expand customer demographics, who are the potential customers to target?
Cluster segmentation helps to map the demographics of the client company’s existing customers to the general population in Germany. Here I apply unsupervised learning to identify what segment of the general population represents the loyal customers of the client company, and what segment represents a pool of potential new customers that they might target.
A data scientist spends 80% of the time cleaning data.
During the course of this project, 90% of my time was spent on data exploring and preprocessing. The following datasets I used in customer segmentation contained an enormous amount of raw data:
In the general population data, there are 273 columns containing missing value. I decided to drop columns with over 30% missing value rate (indicated by red), since large amount of missing value is harmful for analyzing statistic and constructing model (e.g. ALTER_KIND1 and EXTSEL992). For the remaining columns (the blue), I would impute the missing data with the most frequent value.
#customer-segmentation #data-science
1603191600
Customer segmentation is a process that separates a company’s customers into groups based on certain traits (age, gender, income, etc.), and an effective analysis can help a company make better marketing decisions. In this post, I will share a customer segmentation analysis based on data provided by the company — Arvato. Arvato is a supply chain solutions company, and the dataset I used for my analysis contains customer demographics data for a client company. I also built a model to predict the response rate of mail-out advertisements.
Below I will walk you through the details of my analysis using both unsupervised and supervised learning methods. Two datasets, customer data from a client company of Arvato and general demographics data from Germany, were analyzed to answer the following questions:
1. Who are the loyal customers of the client company, and with a change in marketing strategy to expand customer demographics, who are the potential customers to target?
2. When the client company sends out a mail-out offer, can we predict the responding rate?
Who are the loyal customers of the client company, and with a change in marketing strategy to expand customer demographics, who are the potential customers to target?
Cluster segmentation helps to map the demographics of the client company’s existing customers to the general population in Germany. Here I apply unsupervised learning to identify what segment of the general population represents the loyal customers of the client company, and what segment represents a pool of potential new customers that they might target.
A data scientist spends 80% of the time cleaning data.
During the course of this project, 90% of my time was spent on data exploring and preprocessing. The following datasets I used in customer segmentation contained an enormous amount of raw data:
In the general population data, there are 273 columns containing missing value. I decided to drop columns with over 30% missing value rate (indicated by red), since large amount of missing value is harmful for analyzing statistic and constructing model (e.g. ALTER_KIND1 and EXTSEL992). For the remaining columns (the blue), I would impute the missing data with the most frequent value.
#customer-segmentation #data-science
1597051841
DK Business Patron is one of the most revered and known outsourcing company based in India that has its roots spread all across the world. Holding a substantial market share in outsourcing processes they hold pride in their extensive client base.
The organization has been continually walking on the path of development and expansion for a long time and comes up with inventive departments that serve the growing business needs across the world. Accounting for the extensive business competition that organizations have to go through in every industry, their team has come up with an extremely inventive idea of launching a new global market research and analysis division of its own. This new development has recently been launched and has created a hustleamidst its top competitors across the globe as this proposition brings for DK Business Patron huge baggage of possibilities.
Over the years, the dedicated team of DK Business Patron has earned for itself success from all professional quarters diving into multiple collaborations and expansion plans seeking an upper hand in front of their competitors. The organization believes that the reason for their success is their continued dedication towards their client base and their vision of coming up with solutions that their clients look for and would require shortly.
Market research and analysis is one such process that serves as thebuilding blocks for shaping a successful future for any product or service to establish a sense of loyalty and visible presence beyond the market barriers and competitive elements. Even though research and analysis are often mentioned together, both of these are separate entities that require dedication and deserve at most attention in their forms to help make the process fruitful and profit-generating for the parent organization. Market research and analysis need not only be integrated within themselves but also with other core processes of any business thereby continual need of aligning market research and analysis with the core operations is felt.
As **market research and analysis **require experienced leadership and highly trained professionals to handle this diverse operation, it might become a tedious and economically hefty task for organizations to look for experienced and qualified personnel to get the job done. Other than beingfinancially draining,managing and integrating this precise process with other core business operations is a necessary yet time-consuming task if taken care of in house. These are the key reasons cited by DK Business Patron as to why they came up with a global market research and analysis division for outsourced market research and analytics services.
The organization has also citedmultiple benefits that organizations will reap if they associate with DK Business Patron global market research and analysis division. The key benefit highlighted the most was that research and analysis outsourcing services provided by DK Business Patron are guaranteed at the lowest cost per insight irrespective of the area of work or organization type and would also include industry analysis.They have stated it as an extremely cost-effective and performance-enhancing approach and that outsourcing this process to DK Business Patron will yield and maintain an excellent quality of work throughout.
Concerning the developments that DK Business Patron and their experienced team have been continually making in recent times, such expansions are quite expected shortly as well. What’s there to wait for is the segments and operations that they choose to dwell in and make the most out of. The diligent team at DK Business Patron is always engaged in bringing to their customers skilled and trained professionals to enhance the success ratio of their overseas partners that have trusted them with internal processes. Looking at the success ratio and client engagement and retention that this organization has maintained for quite a long period now it is being anticipated by market analysts that DK Business Patron will again set a benchmark in terms of outsourced Business Process Outsourcing services in India.
The reverence and word-of-mouth of this leading business outsourcing organization are attaining volume day by day and has a good impact on their International relationships with overseas clients. This makes DK Business Patron a success not only nationally but across the globe having clients from different backgrounds and different countries trusting them with their core processes for quite a time now.
#outsourcing company #outsourcing company based in india #research and analysis #market research and analysis #new global market research and analysis #outsourced market research and analytics
1626342263
Email marketing is an effective tool that can reach straight to your customer’s inbox. With perfectly crafted personalized messages, you can run a successful campaign. Being the best provider of email marketing services in Dubai, KVN Mail offers an affordable package with convenient features.
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1601021700
**Customer Segmentation **involves dividing a customer base into groups of individuals based on certain traits they share.
Segmentation helps with a company’s customer relationship management and overall marketing performance. By segmenting your customer base, it allows companies to tailor marketing efforts to target specific groups with relevant messages. This enables the company to better allocate marketing resources, create effective marketing campaign strategy, and maximize desired marketing outcomes with higher conversion.
#marketing #data-visualization #marketing-analytics #customer-segmentation #python
1620022624
A company can plan when to send time-based promotions or non-promotional emails using an email marketing strategy. With an email marketing strategy in place, marketers can plan out their email advertising process ahead of time.Top Email Marketing Platform
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