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Deal Recommendations

Lavanya R

30 Jun, 2024 - Updated 4 months ago

Introduction

Deal Recommendations in Vtiger CRM can help you make informed decisions and improve your sales process. The Deal Recommendations feature suggests ways to handle business deals and transactions.

When you click on One View of a Deal record, you will get suggestions regarding the Predicted Closed date. This information helps to close business deals easily.

Deal Recommendations in Vtiger CRM can help you:

Identify, and prioritize potential deals based on lead data, customer behavior, and historical sales data.
Make data-driven decisions.
Improve deal outcomes and maximize value for all parties involved.

Components of Deal Recommendations

Deal Recommendations consist of several components that provide guidance and suggestions for optimizing the outcome of a deal.

Here are the components of Deal Recommendations:

Deal Score

Deal Score is a numerical value or rating assigned to a business deal or opportunity to evaluate its overall quality, potential value, or likelihood of success.

Vtiger CRM uses a Machine Learning methodology to calculate the Deal Score. Each factor or criterion is assessed and scored based on past patterns.

Predicted Closed Date

Predicted Closed Date refers to the anticipated date a sales deal is expected to be successfully closed. The Predicted Close Date considers the typical sales cycle length for a particular deal or opportunity.

Engagement Score

Engagement Score is a metric used to measure customers' interaction, interest, or involvement with a particular brand, product, service, or content. It quantifies the engagement and indicates the level of audience interaction or responsiveness.

Sentiment Score

Sentiment Score quantifies a text's sentiment or emotional tone, such as a customer review, social media post, or feedback comment.

Sentiment Scores are calculated using natural language processing(NLP) techniques and sentiment analysis algorithms.

For example, Sentiment Score can be categorized as strongly positive, positive, neutral, negative, or strongly negative.

Conversational Timeline

Conversational Timeline refers to the chronological sequence of interactions that occur during a conversation or communication between two or more parties.

Conversational Timeline is categorized based on the following:

By Channel
By Category
By Sentiment

By Channel

Conversational Timeline in Vtiger CRM is based on the communication between customers and businesses through different channels like Emails, Phone Calls, campaigns, Cases, Chats, Documents, Meetings, and Web Activities. The Conversational Timeline is displayed month-wise for these channels.

If you enable the Customer Engagement toggle, you can view the timeline that shows all the customer engagements.

By Category

In Vtiger CRM, the Conversational Timeline provides you with metrics on competitors, features, Playbooks, value, pricing, timeframe, and other relevant information.

By Sentiment

In Vtiger CRM, the Conversational Timeline categorizes customer sentiments as Positive, Neutral, or Negative.

Touchpoint Summary

Touchpoint Summary provides information on the number of conversations with important contacts and owners within an organization. Touchpoints are the contact points or interactions between a customer and a company. Vtiger’s Touchpoint Summary is based on two key people in an organization:

Influencer
Decision Maker

Influencer

An Influencer is someone who can influence the opinions, behaviors, and purchasing decisions of others through their personal charisma, expertise, or authority.

Decision Maker

In Deal Recommendations, the Decision Maker is either a person or a team responsible for evaluating potential business deals or investment opportunities. They then decide whether to pursue them or not.

Feature Availability

	One Growth	One Pilot	One Professional	One Enterprise
Feature Availability
Deal Recommendations	-	-	✓	✓

Benefits

Here are some benefits of using the Deal Recommendations feature in Vtiger CRM:

Deal Score Analytics: The numerical rating or evaluation assigned to a deal or opportunity helps to assess its potential value, viability, or desirability.
Sentiment Tracking: By analyzing sentiment data, you can identify positive, negative, or neutral opinions and understand the factors influencing customer sentiment.
Tracking Conversations: Deal Recommendations help track conversations between customers and Sales reps.
Analyzing Closed Date: Deal Recommendations help predict a Deal's closed date and help close deals faster.

In this article, you will learn about:

Deal Recommendations in Vtiger CRM
Components of Deal Recommendations
Conversation Timeline
Touchpoints Summary

Key Terminology

Key Term	Definition
Deal Score	Deal Score is a numerical value or rating assigned to a business deal or opportunity to evaluate its overall quality, potential value, or likelihood of success.
Predicted Closed Date	The Predicted Closed Date is the anticipated date for a sales deal or opportunity to be successfully closed.
Engagement Score	Engagement Score is a metric used to measure the level of interaction, interest, or involvement that individuals or entities have with a particular brand, product, or service.
Sentiment Score	Sentiment Score is a metric used to quantify a customer's sentiment or emotional tone.
Natural Language Processing (NLP)	NLP is a branch of artificial intelligence (AI) that focuses on interactions between computers and human language.
Decision Maker	The decision maker is either a person or a team responsible for rating potential business deals or investment opportunities.

Accessing Deal Recommendations in the CRM

Deal Recommendations are a part of Conversation Insights under the One View widget of a deal record.

Follow these steps to find Deal Recommendations in the CRM:

Go to Sales.
Click Pipeline Management > Deals. The Kanban View of Deals will be displayed.

Click on a Deal record. The Summary View of that deal opens.

Click the One View widget.

Click Conversation Insights. The Conversation Insights window of that deal opens.

You will find the Deal Recommendation-related information like Predicted Close Date, Sentiment Score, Conversational Timeline, and Touchpoint Summary.