What is Generation MLM Plan

The Generation MLM Plan marketing business plan is based on profit-sharing marketing Business. It is also called Gap Commission Plans and Repurchase Plans. Generation Plan MLM is recognized to be the powerful MLM Plan that can pay up to many levels deep. 

In this article, we will go over the Generation MLM plan in detail, including how it works, its benefits, and its compensation. 

Introduction to Generation MLM Plan

A compensation plan is similar to the Unilevel MLM Plan but has different generation levels. As the name implies, the whole volume from the trading distributor to the last downline members is called a generation. Each generation level consists of a distributor and the customers they have acquired. As a result, the tree structure of the plan branches to various generation levels. 

The plan provides a good retail profit as well as downline commissions. This particular scenario benefits e-commerce businesses, so popular e-commerce businesses choose this compensation plan for their operations.

How Does Generation Plan Work? 

The technical working principle of this MLM Plan can be illustrated using the following example: 

Consider 16 levels consisting of 4 generations. The amount you achieve will be more in the first generation and decrease as you progress through the generation. To be specific, if you pay 10% on your first generation, it will be 6% on the second, 4% on the third, and only 2% on the fourth.

Advantages of Generation MLM Plan

1. One of the best plans for huge and easy success
2. Simple to explain and easy to understand
3. Cost reduction as the in-line members themselves becomes your essence for marketing
4. The whole network can enjoy the provided benefits
5. Can be combined with other MLM compensation plans to form hybrid plans

Compensations in Generation Plan

Compensations are gained when a distributor achieves certain criteria set by the MLM companies. 

Compensation of this plan are: 

• Generation Bonus: A bonus is achieved when a sponsor gets a percentage of sales made by the generation groups. 

Example: Distributor X has 5 generations in the generation tree. The company has set 5%, 4%, 3%, and 2% as a generation bonus for each generation level.

Generation 1 makes $500 in sales, generation 2 - $600, generation 3 - $400, and generation 4 - $200.

• Referral Bonus: Bonus received by adding new members.

Example: Distributor X sponsors a new member of the business network. MLM company has set 10% as a referral bonus for adding new members to the network.

• Team Sales Bonus: Bonus earned when the team meets a target.

Example: The team created by distributor A earns $2300 in sales. The team's target has been set at $2000 by the company. The team will receive $100 as a commission upon reaching this target.

• Retail Commissions: Here, commissions are based on the differences between retail and wholesale prices.

Example: Distributor X joins the company for a $1000 package and receives 10 cosmetics products worth $100 each. He then sells this product for $120 on his e-commerce website.

• Distributor X sells 10 products within two days.
• Distributor X receives $200 as a retail commission (($120*10) - $1000).

Conclusion

The Generation MLM plan is considered one of the strongest MLM compensation plans. Its easy-to-use structure prompts many MLM companies to prefer this plan. 

Wishing to earn higher profits in your MLM business? Generation MLM plan is your way to go. 

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Binary MLM Plan – How Beneficial Is It?

The Binary MLM plan is used to run a great business online in the direct sales industry. As is commonly known, the binary scheme is the simplest program in the MLM field, and as it is named, it uses a two-legged structure in network building.

Structure of the plan

The core concept of the binary program is that everyone should be forced to join only two members of the business tree’s legs, and those legs will be considered profitable or weak legs in terms of product sales.

If there is any additional recommendation, they will be placed on the profit foot. There is huge compensation for that leak, which is why it is known as the most profitable project in the Multi level marketing industry and is gaining popularity worldwide.

Commissioning System

Both legs need to maintain balance in order to earn more revenue. Because the revenue system depends entirely on business volume points, it is not about the level they have reached. This means that a percentage of the commission calculated based on weak leg sales will get paid by everyone, so setting a profit margin is entirely in the hands of the downline members.

If they work hard together with the team, each member of the network will have a greater chance of earning more, but if there is lacking in the sales, it will affect everyone in the business plan.

Therefore, a well-developed yet low cost MLM software can be used to show the sales goal and achievement of the network, which encourages everyone to work more profitably and make the product useful in error-free commission calculations.

More benefits of Binary Business Plan:

• Referral Bonus
• Binary commission
• Matching Bonus
• Fast Expansion
• Infinite depth
• fostering teamwork

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MLM script – What Are Its Key Features?

MLM PHP Script or MLM software is an automated online tool that automates all manual processes, making business operations much easier. The important thing to note is,

• Quick and easy processes to promote and market your business globally
• Easy tracking process of transactions and error-free commission computation
• Integrate with SMS and email notifications to ensure easy interaction with users
• Genealogy Tree Structure - User friendly approach to depict downline members under you
• The actual performance of the product is 100% guaranteed with accurate data manipulation

Multiple Options:

The multilingual support system offers users multiple Pay-in and Payout options to make easy transactions through a frequently used gateway.

Analysis and Report:
The best MLM script tracks every action taken on the network at any time, and will be saved for future reviews. There is a facility for extracting statements in different types of documents.

Capturing leads:
Lead Capturing System is the most important factor for new start-ups and existing businesses. Because customers are fuel to run an MLM engine, we need to add more fuel as we go far to achieve success.

E-Commerce Integration:
The e-commerce cart facility makes the online shopping process much easier with a simple click as shopping cart makes our purchase time with simple moves.

E-Wallet system:
E-Wallet sets up digital cash transactions and allows you to track turnover, profit and loss of the system under one tap.

Customization and Configuration:
Although there are many MLM plans available on the market, the software allows you to select the most appropriate business plan to suit your needs, and the administrator can edit or customize the new one.

Furthermore, the website replication plays a big role in business development, meaning that every user can get their personalized website to market their products. Since most systems support PV & GPV points, it encourages subordinates to increase sales to generate more revenue.

In conclusion, the ARM MLM script fully supports all the stated features and for the essential needs of growing an online network marketing business, you can use the free MLM software demo to see the best script in action now!!!

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How To Take Help Of Referencing Generator

APA Referencing Generator

Many students use APA style as the key citation style in their assignment in university or college. Although, many people find it quite difficult to write the reference of the source. You ought to miss the names and dates of authors. Hence, APA referencing generator is important for reducing the burden of students. They can now feel quite easy to do the assignments on time.

The functioning of APA referencing generator

If you are struggling hard to write the APA referencing then you can take the help of APA referencing generator. It will create an excellent list. You are required to enter the information about the source. Just ensure that the text is credible and original. If you will copy references then it is a copyright violation.

You can use a referencing generator in just a click. It will generate the right references for all the sources. You are required to organize in alphabetical order. The generator will make sure that you will get good grades.

How to use APA referencing generator?

Select what is required to be cited such as journal, book, film, and others. You can choose the type of required citations list and enter all the required fields. The fields are dates, author name, title, editor name, and editions, name of publishers, chapter number, page numbers, and title of journals. You can click for reference to be generated and you will get the desired result.

Chicago Referencing Generator

Do you require the citation style? You can rely on Chicago Referencing Generator and will ensure that you will get the right citation in just a click. The generator is created to provide solutions to students to cite their research paper in Chicago style. It has proved to be the quickest and best citation generator on the market. The generator helps to sort the homework issues in few seconds. It also saves a lot of time and energy.

This tool helps researchers, professional writers, and students to manage and generate text citation essays. It will help to write Chicago style in a fast and easy way. It also provides details and directions for formatting and cites resources.

So, you must stop wasting the time and can go for Chicago Referencing Generator or APA referencing generator. These citation generators will help to solve the problem of citation issues. You can easily create citations by using endnotes and footnotes.

So, you can generate bibliographies, references, in-text citations, and title pages. These are fully automatic referencing style. You are just required to enter certain details about the citation and you will get the citation in the proper and required format.

So, if you are feeling any problem in doing assignment then you can take the help of assignment help.
If you require help for Assignment then livewebtutors is the right place for you. If you see our prices, you will observe that they are actually very affordable. Also, you can always expect a discount. Our team is capable and versatile enough to offer you exactly what you need, the best services for the prices you can afford.

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A Ruby Library for Generating Text with Recursive Template Grammars

Calyx

Calyx provides a simple API for generating text with declarative recursive grammars.

Install

Command Line

gem install calyx

Gemfile

gem 'calyx'

Examples

The best way to get started quickly is to install the gem and run the examples locally.

Any Gradient

Requires Roda and Rack to be available.

gem install roda

Demonstrates how to use Calyx to construct SVG graphics. Any Gradient generates a rectangle with a linear gradient of random colours.

Run as a web server and preview the output in a browser (http://localhost:9292):

ruby examples/any_gradient.rb

Or generate SVG files via a command line pipe:

ruby examples/any_gradient > gradient1.xml

Tiny Woodland Bot

Requires the Twitter client gem and API access configured for a specific Twitter handle.

gem install twitter

Demonstrates how to use Calyx to make a minimal Twitter bot that periodically posts unique tweets. See @tiny_woodland on Twitter and the writeup here.

TWITTER_CONSUMER_KEY=XXX-XXX
TWITTER_CONSUMER_SECRET=XXX-XXX
TWITTER_ACCESS_TOKEN=XXX-XXX
TWITTER_CONSUMER_SECRET=XXX-XXX
ruby examples/tiny_woodland_bot.rb

Faker

Faker is a popular library for generating fake names and associated sample data like internet addresses, company names and locations.

This example demonstrates how to use Calyx to reproduce the same functionality using custom lists defined in a YAML configuration file.

ruby examples/faker.rb

Usage

Require the library and inherit from Calyx::Grammar to construct a set of rules to generate a text.

require 'calyx'

class HelloWorld < Calyx::Grammar
  start 'Hello world.'
end

To generate the text itself, initialize the object and call the generate method.

hello = HelloWorld.new
hello.generate
# > "Hello world."

Obviously, this hardcoded sentence isn’t very interesting by itself. Possible variations can be added to the text by adding additional rules which provide a named set of text strings. The rule delimiter syntax ({}) can be used to substitute the generated content of other rules.

class HelloWorld < Calyx::Grammar
  start '{greeting} world.'
  greeting 'Hello', 'Hi', 'Hey', 'Yo'
end

Each time #generate runs, it evaluates the tree and randomly selects variations of rules to construct a resulting string.

hello = HelloWorld.new

hello.generate
# > "Hi world."

hello.generate
# > "Hello world."

hello.generate
# > "Yo world."

By convention, the start rule specifies the default starting point for generating the final text. You can start from any other named rule by passing it explicitly to the generate method.

class HelloWorld < Calyx::Grammar
  hello 'Hello world.'
end

hello = HelloWorld.new
hello.generate(:hello)

Block Constructors

As an alternative to subclassing, you can also construct rules unique to an instance by passing a block when initializing the class:

hello = Calyx::Grammar.new do
  start '{greeting} world.'
  greeting 'Hello', 'Hi', 'Hey', 'Yo'
end

hello.generate

Template Expressions

Basic rule substitution uses single curly brackets as delimiters for template expressions:

fruit = Calyx::Grammar.new do
  start '{colour} {fruit}'
  colour 'red', 'green', 'yellow'
  fruit 'apple', 'pear', 'tomato'
end

6.times { fruit.generate }
# => "yellow pear"
# => "red apple"
# => "green tomato"
# => "red pear"
# => "yellow tomato"
# => "green apple"

Nesting and Substitution

Rules are recursive. They can be arbitrarily nested and connected to generate larger and more complex texts.

class HelloWorld < Calyx::Grammar
  start '{greeting} {world_phrase}.'
  greeting 'Hello', 'Hi', 'Hey', 'Yo'
  world_phrase '{happy_adj} world', '{sad_adj} world', 'world'
  happy_adj 'wonderful', 'amazing', 'bright', 'beautiful'
  sad_adj 'cruel', 'miserable'
end

Nesting and hierarchy can be manipulated to balance consistency with novelty. The exact same word atoms can be combined in a variety of ways to produce strikingly different resulting texts.

module HelloWorld
  class Sentiment < Calyx::Grammar
    start '{happy_phrase}', '{sad_phrase}'
    happy_phrase '{happy_greeting} {happy_adj} world.'
    happy_greeting 'Hello', 'Hi', 'Hey', 'Yo'
    happy_adj 'wonderful', 'amazing', 'bright', 'beautiful'
    sad_phrase '{sad_greeting} {sad_adj} world.'
    sad_greeting 'Goodbye', 'So long', 'Farewell'
    sad_adj 'cruel', 'miserable'
  end

  class Mixed < Calyx::Grammar
    start '{greeting} {adj} world.'
    greeting 'Hello', 'Hi', 'Hey', 'Yo', 'Goodbye', 'So long', 'Farewell'
    adj 'wonderful', 'amazing', 'bright', 'beautiful', 'cruel', 'miserable'
  end
end

Random Sampling

By default, the outcomes of generated rules are selected with Ruby’s built-in pseudorandom number generator (as seen in methods like Kernel.rand and Array.sample). To seed the random number generator, pass in an integer seed value as the first argument to the constructor:

grammar = Calyx::Grammar.new(seed: 12345) do
  # rules...
end

Alternatively, you can pass a preconfigured instance of Ruby’s stdlib Random class:

random = Random.new(12345)

grammar = Calyx::Grammar.new(rng: random) do
  # rules...
end

When a random seed isn’t supplied, Time.new.to_i is used as the default seed, which makes each run of the generator relatively unique.

Weighted Choices

Choices can be weighted so that some rules have a greater probability of expanding than others.

Weights are defined by passing a hash instead of a list of rules where the keys are strings or symbols representing the grammar rules and the values are weights.

Weights can be represented as floats, integers or ranges.

• Floats must be in the interval 0..1 and the given weights for a production must sum to 1.
• Ranges must be contiguous and cover the entire interval from 1 to the maximum value of the largest range.
• Integers (Fixnums) will produce a distribution based on the sum of all given numbers, with each number being a fraction of that sum.

The following definitions produce an equivalent weighting of choices:

Calyx::Grammar.new do
  start 'heads' => 1, 'tails' => 1
end

Calyx::Grammar.new do
  start 'heads' => 0.5, 'tails' => 0.5
end

Calyx::Grammar.new do
  start 'heads' => 1..5, 'tails' => 6..10
end

Calyx::Grammar.new do
  start 'heads' => 50, 'tails' => 50
end

There’s a lot of interesting things you can do with this. For example, you can model the triangular distribution produced by rolling 2d6:

Calyx::Grammar.new do
  start(
    '2' => 1,
    '3' => 2,
    '4' => 3,
    '5' => 4,
    '6' => 5,
    '7' => 6,
    '8' => 5,
    '9' => 4,
    '10' => 3,
    '11' => 2,
    '12' => 1
  )
end

Or reproduce Gary Gygax’s famous generation table from the original Dungeon Master’s Guide (page 171):

Calyx::Grammar.new do
  start(
    :empty => 0.6,
    :monster => 0.1,
    :monster_treasure => 0.15,
    :special => 0.05,
    :trick_trap => 0.05,
    :treasure => 0.05
  )
  empty 'Empty'
  monster 'Monster Only'
  monster_treasure 'Monster and Treasure'
  special 'Special'
  trick_trap 'Trick/Trap.'
  treasure 'Treasure'
end

String Modifiers

Dot-notation is supported in template expressions, allowing you to call any available method on the String object returned from a rule. Formatting methods can be chained arbitrarily and will execute in the same way as they would in native Ruby code.

greeting = Calyx::Grammar.new do
  start '{hello.capitalize} there.', 'Why, {hello} there.'
  hello 'hello', 'hi'
end

4.times { greeting.generate }
# => "Hello there."
# => "Hi there."
# => "Why, hello there."
# => "Why, hi there."

You can also extend the grammar with custom modifiers that provide useful formatting functions.

Filters

Filters accept an input string and return the transformed output:

greeting = Calyx::Grammar.new do
  filter :shoutycaps do |input|
    input.upcase
  end

  start '{hello.shoutycaps} there.', 'Why, {hello.shoutycaps} there.'
  hello 'hello', 'hi'
end

4.times { greeting.generate }
# => "HELLO there."
# => "HI there."
# => "Why, HELLO there."
# => "Why, HI there."

Mappings

The mapping shortcut allows you to specify a map of regex patterns pointing to their resulting substitution strings:

green_bottle = Calyx::Grammar.new do
  mapping :pluralize, /(.+)/ => '\\1s'
  start 'One green {bottle}.', 'Two green {bottle.pluralize}.'
  bottle 'bottle'
end

2.times { green_bottle.generate }
# => "One green bottle."
# => "Two green bottles."

Modifier Mixins

In order to use more intricate rewriting and formatting methods in a modifier chain, you can add methods to a module and embed it in a grammar using the modifier classmethod.

Modifier methods accept a single argument representing the input string from the previous step in the expression chain and must return a string, representing the modified output.

module FullStop
  def full_stop(input)
    input << '.'
  end
end

hello = Calyx::Grammar.new do
  modifier FullStop
  start '{hello.capitalize.full_stop}'
  hello 'hello'
end

hello.generate
# => "Hello."

To share custom modifiers across multiple grammars, you can include the module in Calyx::Modifiers. This will make the methods available to all subsequent instances:

module FullStop
  def full_stop(input)
    input << '.'
  end
end

class Calyx::Modifiers
  include FullStop
end

Monkeypatching String

Alternatively, you can combine methods from existing Gems that monkeypatch String:

require 'indefinite_article'

module FullStop
  def full_stop
    self << '.'
  end
end

class String
  include FullStop
end

noun_articles = Calyx::Grammar.new do
  start '{fruit.with_indefinite_article.capitalize.full_stop}'
  fruit 'apple', 'orange', 'banana', 'pear'
end

4.times { noun_articles.generate }
# => "An apple."
# => "An orange."
# => "A banana."
# => "A pear."

Memoized Rules

Rule expansions can be ‘memoized’ so that multiple references to the same rule return the same value. This is useful for picking a noun from a list and reusing it in multiple places within a text.

The @ sigil is used to mark memoized rules. This evaluates the rule and stores it in memory the first time it’s referenced. All subsequent references to the memoized rule use the same stored value.

# Without memoization
grammar = Calyx::Grammar.new do
  start '{name} <{name.downcase}>'
  name 'Daenerys', 'Tyrion', 'Jon'
end

3.times { grammar.generate }
# => Daenerys <jon>
# => Tyrion <daenerys>
# => Jon <tyrion>

# With memoization
grammar = Calyx::Grammar.new do
  start '{@name} <{@name.downcase}>'
  name 'Daenerys', 'Tyrion', 'Jon'
end

3.times { grammar.generate }
# => Tyrion <tyrion>
# => Daenerys <daenerys>
# => Jon <jon>

Note that the memoization symbol can only be used on the right hand side of a production rule.

Unique Rules

Rule expansions can be marked as ‘unique’, meaning that multiple references to the same rule always return a different value. This is useful for situations where the same result appearing twice would appear awkward and messy.

Unique rules are marked by the $ sigil.

grammar = Calyx::Grammar.new do
  start "{$medal}, {$medal}, {$medal}"
  medal 'Gold', 'Silver', 'Bronze'
end

grammar.generate
# => Silver, Bronze, Gold

Dynamically Constructing Rules

Template expansions can be dynamically constructed at runtime by passing a context map of rules to the #generate method:

class AppGreeting < Calyx::Grammar
  start 'Hi {username}!', 'Welcome back {username}...', 'Hola {username}'
end

context = {
  username: UserModel.username
}

greeting = AppGreeting.new
greeting.generate(context)

External File Formats

In addition to defining grammars in pure Ruby, you can load them from external JSON and YAML files:

hello = Calyx::Grammar.load('hello.yml')
hello.generate

The format requires a flat map with keys representing the left-hand side named symbols and the values representing the right hand side substitution rules.

In JSON:

{
  "start": "{greeting} world.",
  "greeting": ["Hello", "Hi", "Hey", "Yo"]
}

In YAML:

---
start: "{greeting} world."
greeting:
  - Hello
  - Hi
  - Hey
  - Yo

Accessing the Raw Generated Tree

Calling #evaluate on the grammar instance will give you access to the raw generated tree structure before it gets flattened into a string.

The tree is encoded as an array of nested arrays, with the leading symbols labeling the choices and rules selected, and the trailing terminal leaves encoding string values.

This may not make a lot of sense unless you’re familiar with the concept of s-expressions. It’s a fairly speculative feature at this stage, but it leads to some interesting possibilities.

grammar = Calyx::Grammar.new do
  start 'Riddle me ree.'
end

grammar.evaluate
# => [:start, [:choice, [:concat, [[:atom, "Riddle me ree."]]]]]

Roadmap

Rough plan for stabilising the API and features for a 1.0 release.

Version	Features planned
0.6	block constructor
0.7	support for template context map passed to generate
0.8	method missing metaclass API
0.9	return grammar tree from #evaluate, with flattened string from #generate being separate
0.10	inject custom string functions for parameterised rules, transforms and mappings
0.11	support YAML format (and JSON?)
0.12	API documentation
0.13	Support for unique rules
0.14	Support for Ruby 2.4
0.15	Options config and ‘strict mode’ error handling
0.16	Improve representation of weighted probability selection
0.17	Return result object from #generate calls

Credits

Author & Maintainer

• Mark Rickerby

Contributors

• Tariq Ali

Author: Maetl
Source Code: https://github.com/maetl/calyx 
License: MIT license

#ruby #text