According to a survey conducted, at least 1 out of 13 adults have participated in an MLM business ( https://en.wikipedia.org/wiki/Multi-level_marketing ). There are over 6.8 million distributors in the United States alone. This data shows the popularity of MLM industry among people. With the rising popularity, the competition to drive distributors to an MLM company is also growing.
The quality of products or services is an element that helps MLM companies to cope up with the rising competition in the market. The next factor that helps is the distributors, the frontline salesforce of a network marketing company. Distributors promote the products and the ideas of the company to the public. Thus it is critical for MLM companies to focus on the facts that motivates distributors in order to meet the company objectives.
The opportunity to earn a high commission ( https://en.wikipedia.org/wiki/Commission_(remuneration) ) for the sales effort is the driving force for any distributor. The commission or bonuses are given to a distributor according to the compensation plan chosen by the organization. There are many pre-existing plans available in the market such as Binary, Matrix, Unilevel, Generation, and Monoline. Every company modifies these plans to bring uniqueness in order to stay ahead of the curve.
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Epixel MLM software is integrated with the latest technologies such as business intelligence, intelligent automation, data analytics, etc to successfully organize every network marketing and direct selling More
Automate your MLM network with continuously improving platform based on business intelligence provided by Epixel Generation Plan MLM Software. Make faster and better decisions with real-time insights using predictive analysis and data analytics (https://www.investopedia.com/terms/d/data-analytics.asp ).
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Epixel Binary MLM Software, integrated with business intelligence (https://en.wikipedia.org/wiki/Business_intelligence ), intelligent automation, and data analytics, helps network marketing companies and direct selling systems to create automated business networks that are capable of administration and organization with lesser human assistance.
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