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Deal Recommendations
Table of Contents
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 factors such as 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 scaling methodology to calculate the Deal Score. Each factor or criterion is assessed and scored based on predefined scales or scoring rules.
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 SummaryTouchpoint 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 has the ability to 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
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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
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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:
- Log in to 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.