Best Salesforce Commission Software For Sales Organizations

Salesforce Commission Software For Sales Organizations

Sales organizations are now using CRM solutions like Salesforce to manage the business on Sales Cloud. Salesforce is the best CRM for managing sales data and improving business accuracy. One of the most challenging challenges that a sales company, whether small or big, faces is managing the sales commission operation of their sales staff. Since Salesforce CRM contains all of the sales team’s data, it is simpler to monitor each member’s sales activity and measure commission accordingly. The method of estimating the sales team’s commission becomes easy, efficient, and accurate with the integration of separate commission software for Salesforce from AppExchange.

What Exactly Salesforce Commission Software Do?

Salesforce allows you to create custom fields, formulas, and reports, but it does not permit you to handle traditional sales team commissions. You have to integrate a third-party Salesforce commission software. A commissioning software manages and monitors the activity of the sales team and provides commissions/incentives accordingly. The entire commission management process, including Salesforce CRM, will be automated. Let’s take a look at the best commission calculation tool available in the market.

Mango Commission

Mango Commission is a commission calculation software for business enterprises to handle sales team compensation. It automatically monitors commission based on the person’s sales activity. Automate commission management, audit monitoring, and operation tracking.

Features of Mango Commission

  • Data Collection and Organization
  • Sales Management Crediting Guidelines & Rollup
  • Managing Territories
  • Managing Quotas and Objectives
  • Keeping All Participants Informed
  • Keeping track of all plan rules, calculations, and formulas
  • Validating Calculations and Data Reconciliation
  • Exception Handling
  • Payroll Data Retention
  • Predicting the Future
  • Delivering Reports
  • Obtaining Approvals
  • Keeping Data Access Secure
Please let us know how you plan to handle commission calculation with Salesforce. You can get more information about the Mango Commission Software by Wahinnovations at
5 Benefits of Salesforce Implementation in Business 2021 -

5 Benefits of Salesforce Implementation in Business 2022

Moving on to the digital world and creating a mark online is the first step business needs nowadays. Implementing a CRM (Customer Relationship Management) service would be beneficial for making a stronger relationship with customers, increasing sales, better team management, and good collaboration. Salesforce is one of the best CRM services to implement in all types of business organizations.

Salesforce is a platform to develop & distribute customer-centric solutions for businesses. Salesforce as a SaaS(Software-as-a-Service) offers various cloud services like sales cloud, marketing cloud, analytics cloud, community cloud, etc., to manage the organization with ease. Salesforce as a PaaS(Platform-as-a-Service) offers various platforms to build our apps on the cloud. Platforms like & Lightning, Heroku, Fuel, etc.

Currently, Various organizations are using  Salesforce in different domains like Financial Technology, Manufacturing, and Others. Salesforce helps businesses to grow in an effective & efficient manner.

Is there any reason that various organizations implement salesforce in business? 

Well, yes! There are some of the main reasons for the Salesforce platform:

  • Customer Data: To engage a customer with your product, you need customer’s information to keep their profile organized. It will help you to know about the customer’s behavior towards your product. Salesforce provides you better control and the advantage to create and maintain customer’s information digitally on the cloud in one place.
  • Management: Salesforce is easy to manage, which is one of the most important advantages. Any dedicated salesforce developer will take care of your custom CRM. You have all the tools and keys to manage salesforce easily. With the built-in calendar tools, you can schedule tasks for weeks and months or even for years.
  • Team Collaboration: Now, let’s talk about the best features for implementing Salesforce; Team Collaboration. Salesforce will let you communicate with your team members easily. “Chatter” feature of Salesforce provides you access to communicate with individuals, groups,s or admins about your work-related information. This feature makes it easier to prioritize tasks among the team so they can work accordingly. It will help to get productive results from the team members. 
  • Accessibility: Mobility or Accessibility is one of the core features of Salesforce. Salesforce is a cloud-based platform, which means it is available for you whenever and wherever you need it. You only need the internet to access it. Salesforce has an application that keeps you in touch with your business and team. You don’t need a local data drive, cabinet, or anything to access data from outside. You can easily access Salesforce from anywhere and   anytime.
  • Enhanced Communication: Salesforce helps you to enhance your Communication with your system means that your can easily access a detailed history of the prospects.

So, now you must understand the benefits of CRM services for your business.

Please leave a comment if we miss any important benefits of implementing Salesforce. You can get more information about Salesforce, visit

Salesforce Einstein Predictor Builder with Wahinnovations

How Does Einstein Prediction Builder Work?

Einstein is the new generation of AI available directly within Salesforce CRM data. It learns from existing data and can provide predictions, insights, next steps, and recommendations. So, optimize your time by focussing on opportunities that are more likely to convert rather than calling the ones that are unlikely.

Features of Salesforce Einstein:

  • Sales Cloud Einstein
  • Service Cloud Einstein
  • App Cloud Einstein
  • Community Cloud Einstein
  • IoT Cloud Einstein
  • Marketing and Analytics Cloud Einstein

Einstein products which are formed by the incorporation of one or more smart assistant components. They are:

  • Einstein Bots
  • Einstein Voice
  • Einstein Prediction Builder
  • Einstein Next Best Action
  • Einstein Discovery
  • Einstein Vision and Language

What is Einstein Prediction Builder?

Einstein Prediction Builder is a declarative tool that helps fast-track predictions based on Salesforce fields. This helps a Salesforce admin to custom-build predictions on any object via few clicks on a visual interface and power workflows and apps using the newly-found AI. It learns from examples in the past to make predictions. Using projections it helps you work smarter by focusing your time on the right tasks. It predicts the answers to binary questions, i.e., Yes/No and numerical questions.

Understand How Einstein Prediction Builder Works in 3 Simple Steps:

Step 1 : Define your use case

In this step, we need to get a clear picture of how we plan to improve our business using a prediction builder. For Example, Consider an eye clinic where the people make appointments for checkup every month/year. The estimated number of people who did not turn up for an appointment cannot be brought to an exact number. This results in a loss of revenue and resources for that clinic. Next time, they can use historical data from appointments to arrive at an appropriate patient count.

Based on the use case, the prediction builder can calculate either of the below predictions:

  1. Binary Predictions (predicts a Yes/No)
  2. Numeric Predictions (predicts a number)

Step 2 : Identify the data used for prediction

The data is very important for prediction model. To help you understand whether the data being considered is sufficient or not, the Einstein team came up with a framework called the “Avocado Framework.”

Dataset: The complete set of data

For example, All the records present in the Appointment object

Segment set: This is the subset of your dataset; here, the subset is formed based on a filter condition specific to your prediction use case.

Example set: This is the data that is used to understand and build a prediction. The example set is also divided based on positive examples and Negative examples; consolidating them creates an example set. For Instance: Positive example set consists of people who have made their appointment and do not show up. The negative example set consists of people who have made their appointment but do show up. Prediction set: This set consists of records on which Einstein is going to perform the prediction. For instance, All the records other than future appointment.

Step 3 : Create prediction

Once we are ready with the use case and data, we can create a prediction using the prediction builder.

Below are the sequence of activities to create a prediction in Prediction Builder:

  1. Log in to Salesforce. Click on Setup. In the Quick Find box, search for Einstein Prediction Builder.

2. You’ll get to the Einstein Prediction Builder Home Page. To create a new prediction, you can click on a new prediction.

3. Name your prediction. We’ll call our prediction an No show up prediction. API Name here will be auto-populated. Click on Next.

4. Select the object to predict the records. As we are working on the appointment object, we select that. Before clicking on Next, validate the data, whether the minimum number of records are present or not by clicking the Check Data button. Once it validates, the data count is good; we can proceed to the next step by clicking on Next.

5. Einstein Prediction Builder answers two ways either as Yes/No or in a number. Based on the use case, one can choose what kind of answer will be useful to us. As per our use case, we are just predicting whether the patients have show or no show, so we can go for Yes/No. Then click on Next.

6. In this step, we decide whether we have a field based on which we are trying to predict data or not, and what it would be. As we have been using the No show up field based on which we predict the data, we can select the field in this step and click Next. We select the field no show ; for example, we are giving only Yes/No values, i.e., patients who have shown up and have not shown up. In this scenario, we are not considering future appointments, so excluding that, we give an example set to Einstein for prediction. Before moving to the next step, we should check data as an Example set of Yes condition and No condition should have minimum records. Then click on Next.

7. In this step, we can check and uncheck the fields based on which the prediction should occur. Then click on Next.

8. Give the name of Custom Field, which stores the Predictions:

9. In this step, we can find all the values and conditions given in the previous steps. So, we can have a glimpse of the details and confirm whether all information is provided correctly. In this step, we ensure that the data provided is accurate. Now, the only next step here is to click on Build Prediction, which will create a prediction based on the use case, data, and conditions that have been provided.

10. We have successfully made a prediction that will help the eye clinic with their future patient count. Einstein Prediction Builder takes from a few minutes to a few hours to build your prediction and gives a scorecard.

11. This is how the overview of the scorecard looks like. It gives the top five fields affecting the prediction. To get more details based on the predictors, one can click on View, All Predictors.

So we have learnt how easy it is to build custom Intelligence using Einstein Prediction Builder. One does not need to be a Machine learning expert to improve predictability, efficiency and customer experience.

 Things to Keep in Mind:

  1. Prediction Builder requires at least 400 records to be able to make predictions. In the case of binary predictions, the number of records must be at least 100
  2. Make sure to take note of prediction quality. Having >95% could seem good but is likely due to hindsight bias. A prediction that is low is likely due to not having enough fields to make a great prediction
  3. Predictions can only be created in production and developer orgs
  4. Predictions work for all custom objects and support a subset of standard objects
  5. Einstein can’t build a prediction on an object with a deployment status of In Development. To build a prediction, the object needs to be deployed first
  6. So, to start building Predictions, look for Einstein Prediction Builder in setup.
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