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SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Customer Value Maximization

After acquiring a customer, the goal of a company is consumer retention through various techniques, namely customer value maximization which would maximize the revenue for the company. Their main aim should be to increase the length of time period they remain loyal to business, frequency of transactions and monetary value of transactions. Maximum value is thus the product of all three. Main characteristics of customer value maximization are customer segmentation, predicting consumer behavior instead of just looking historical data, looking at customer lifetime value and dynamic segmentation. The marketer should know what actions to take on what customers at the right time. Read more at: http://www.optimove.com/blog/maximize-customer-value-smart-way 

 

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Is your marketing initiative profitable?

Jacob Baadsgaard (Founder & CEO of Disruptive Advertising) shows how to determine and track the contribution margin in order to make the marketing initiatives profitable. Basically contribution margin is the difference between the amount of money made from the sale and the variable cost associated with that sale. The easiest way to predict the success of the marketing efforts is by following the rule of thumb.

§  1X contribution margin:- making extreme loses

§  2X contribution margin:- making losses

§  3X contribution margin:- breaking even

§  4X contribution margin:-  starts making profit

§  5X contribution margin:- accelerates the progress of the company

 

So, higher the contribution margin higher is the profit made by the company. Therefore, it is of utmost importance to get rid of non-profitable aspects of marketing. To know the contribution margin of a company it is essential to know the customer lifetime value, marketing sales and marketing spend. Read more at: http://marketingland.com/contribution-margin-tell-marketing-makes-cents-180717

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Predictive analytics and purchasing

Predictive analytics help you how to make money. Angela Hausman, PhD (marketing professor at Howard University) writes in her article about some possibilities to improve bottom line by using predictive analytics: 1. Recommendation algorithms
2.Manage the customer journey
3.Segmentation based on CLV (customer lifetime value) or other variables
4.Optimize deployment of company resources
5.Hire the best employees for a job
6.Detect fraud. Using predictive analytics, firms segment their customers on more influential variables. Predictive analytics can help to optimize deployment of resources. For more read: http://www.business2community.com/business-intelligence/want-buy-using-predictive-analytics-01543154#eTFpvvsFFDwam4MG.97

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Common Ecommerce Difficulties

Online businesses who are migrating from on-premise or custom e-commerce solutions to SaaS platforms are saving money on go-to-market and maintenance costs. Companies then reinvest these savings in attracting new customers, building loyalty, customer lifetime value, and ultimately creating a brand that echoes your target. Other than cost savings, SaaS platforms also provide agility. John Costello (valued contributor to Business 2 Community) writes about the common e-commerce difficulties experienced by brands powered by on-premise solutions. These include difficulties within the financial, technical and marketing realms of existing business. Read more at: http://www.business2community.com/digital-marketing/14-common-ecommerce-pain-points-currently-reducing-your-business-efficiency-and-roi-01349534#DqBQyR2eXfDAz7GL.97

 

 

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Customer Lifetime Value: An Insight

Customer Lifetime Value (CLV) is the buzzword in today’s world. CLV has the ability to measure by sector, product type and purchase occasion. CLV is also linked with brand loyalty and ease of brand switching. It is dependent on many factors, from customer personality types to the ability for a brand to differentiate the experience it offers. According to a study by Sitecore, it was found that in the retail sector people expect customer loyalty to be low. The automobile sector faces challenges when it comes to growing CLV, as customer demand is typically driven by a range of factors; technological advancements, public opinion, cost, life stage and fashion. The media and technology and telecoms industries also face a similar challenge. In a nutshell, it was found that 64% of brands believe improving customer experience is the route to focus on CLV and move customers towards the ideal bracket of remaining loyal. To know more, follow Shawn Cabral (VP Corporate Marketing at Sitecore)’s article link: http://digitalmarketingmagazine.co.uk/customer-experience/how-do-sectors-compare-when-it-comes-to-customer-lifetime-value/1228

 

 

 

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