salesforce revenue intelligence

How to Get the Best Out of Salesforce Revenue Intelligence?

Learn what is Salesforce revenue intelligence and how you can get the best out of it by feeding your CRM with clean data.

Imagine trying to bake a cake without a recipe. You can rely on your instincts and perhaps end up with a finished cake, but there is always a chance of some missing ingredients or uncertain measurements.

Your sales team faces a similar scenario. Their CRM may provide them with the basic ingredients, but without the necessary data and understanding to close deals, it’s inevitable that few opportunities will be overlooked.

Revenue intelligence is the recipe for your sales team. It provides them with clear instructions on how all the customer information elements come together. How does it work? By gathering and analyzing sales data to showcase past performance, current trends, and future possibilities.

What is SalesForce Revenue Intelligence?

Revenue Intelligence is a data-driven sales solution that unites CRM Analytics dashboards and analytics with an easy-to-visualize pipeline progress flow chart in pipeline inspection and more.

SalesForce Revenue Intelligence refers to tools, technologies, and strategies aimed at helping organizations optimize their sales processes and drive revenue growth. It leverages Artificial Intelligence (AI) and Machine Learning (ML) capabilities to analyze sales data, customer interactions, and other relevant information to provide valuable insights and actionable recommendations for sales teams.

SalesForce Revenue Intelligence typically involves integrating customer relationship management (CRM) systems, sales analytics, and sales enablement platforms to capture and analyze data at various stages of the sales cycle.

Let’s have a look at some of the features and benefits of SalesForce revenue intelligence in detail: 

Features and Benefits of SalesForce Revenue Intelligence?

SalesForce Revenue Intelligence offers real-time insights, predictive analytics, and AI-driven recommendations. It enhances sales effectiveness, improves deal forecasting accuracy, and drives revenue growth through optimized sales processes and increased productivity.

salesforce revenue intelligence

Here are are few ways SalesForce revenue intelligence can help organizations: 

1. Sales Analytics

Sales Analytics offers comprehensive examination and documentation of sales achievements, pipeline administration, and projection. It aids sales teams in monitoring crucial indicators, recognizing patterns, and employing data-driven choices to enhance their sales approaches.

2. Data Signal Analysis

The data signal analysis service detects chances to integrate intelligence into the business process flow, ensuring that valuable insights directly translate into actionable steps. By thoroughly examining the data signals generated throughout various stages of the business operations, this service helps organizations transform insights into tangible actions.

3. Sales Coaching

SalesForce Revenue Intelligence provides personalized coaching functionalities that deliver tailored guidance to sales representatives. Examining sales calls, meetings, and interactions offers valuable recommendations to enhance sales techniques, refine messaging, and improve objection-handling skills.

4. Deal Insights

Acquiring deal insights include analyzing data from diverse sources like emails, calendar events, and customer interactions. These insights assist the sales team in acquiring a comprehensive understanding of their deals. This valuable tool offers analytics regarding the progress of deals, potential risks involved, and recommended actions to enhance the likelihood of successfully closing the deal.

5. Sales Performance Management

SalesForce Revenue Intelligence supports sales managers in efficiently overseeing their team’s performance. It offers real-time visibility into individual and team performance metrics, enabling managers to pinpoint areas that require improvement, establish goals, and deliver timely coaching and feedback. This valuable tool empowers sales managers to optimize performance and drive continuous team growth.

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6. Sales Forecasting

By utilizing past data and predictive analytics, this functionality aids sales teams in predicting future revenue and monitoring their progress toward sales objectives. It facilitates improved resource allocation, planning, and decision-making, benefiting both individuals and the organization. This feature empowers sales teams to make informed choices and optimize performance based on accurate forecasts and progress tracking.

7. Mobile Sales Productivity

SalesForce Revenue Intelligence provides mobile applications that enable sales representatives to access crucial sales data conveniently, collaborate with team members, and efficiently manage their sales activities while on the move. This function enhances productivity by ensuring that sales teams can stay connected and responsive, regardless of their location. These mobile applications empower sales representatives to effectively carry out their responsibilities and make informed decisions, leading to improved sales performance.

Even though SalesForce revenue intelligence provides many benefits to organizations, the heart of revenue intelligence lies with clean data. When data is clean and free from errors, inconsistencies, duplicates, and other quality issues, organizations can trust the information it provides. Clean data allows for accurate revenue forecasting, precise market analysis, and reliable performance evaluation. It enables businesses to identify patterns, trends, and customer behaviors that drive revenue growth.

Without clean data, organizations risk making bad decisions based on incomplete or inaccurate information. According to Gartner, poor data quality can cost organizations $15 million annually!

Let’s have a look at why clean data is necessary for SalesForce revenue intelligence and what can be the result of a lack of it: 

Why is Clean Data Necessary for SalesForce Revenue Intelligence?

Error prone data lead to wrong conclusions and poor business decisions. Inaccurate data may result in incorrect revenue forecasts, flawed market analysis, and inaccurate performance evaluation.

salesforce revenue intelligence

Here are a few ways How unclean data can affect SalesForce revenue intelligence:

1. Inaccurate insights

Dirty or inconsistent data can lead to inaccurate analytics and reporting. This can result in misleading insights and recommendations that may not reflect the actual sales performance or provide an accurate understanding of the pipeline. Without clean data, the intelligence provided by the system may be unreliable and lead to poor decision-making.

2. Unreliable recommendations

The quality of recommendations generated by SalesForce Revenue Intelligence heavily relies on the accuracy of the underlying data. If the data is unclean or contains errors, the recommendations may not be relevant or effective. This can diminish the value and impact of the tool in supporting sales representatives.

3. Long sales cycles

If your team is working with bad data, it can take much longer to close deals. They may spend a lot of time chasing leads that aren’t qualified or pursuing deals with no chance of closing. You wouldn’t want to make it any further longer when the usual b2b sales cycle is 84 days long.

4. Limited deal insights

Clean data is crucial for gaining comprehensive and detailed insights into individual deals. Without clean data, the analysis of emails, interactions, and other relevant information may be compromised. This can result in incomplete or inaccurate deal insights, making it challenging to identify risks, prioritize actions, and optimize the chances of closing deals successfully.

5. Decreased trust and adoption

If users consistently encounter inaccurate or unreliable information from SalesForce Revenue Intelligence due to unclean data, they may lose trust in the system. This can lead to decreased user adoption and a reluctance to rely on the tool for decision-making, reducing its overall effectiveness and impact within the organization.

6. Poor customer experience

Outdated and inaccurate customer information can lead to mistakes from your sales team, damaging customer relationships. For example, they may send a customer the wrong product or fail to promptly follow up on a support ticket. These mistakes can lead to unhappy customers, negative reviews, and lost business.

7. Churn

If your team is working with inaccurate customer data, they may be unable to effectively identify and address issues, leading to churn. For example, they may not realize that a customer is dissatisfied with a product or service until it’s too late to do anything about it. It can lead to lost revenue and a damaged reputation.

To protect data from stains and ensure error-free processes organizations often resort to ‘Data Hygiene.

SalesForce data hygiene is the process of keeping your SalesForce data accurate, complete, and up-to-date. Data hygiene ensures your information is trustworthy and can help make informed business decisions.

Tools like Nektar help to identify and remove duplicate records, standardize data formats, and ensure data accuracy. It provides data cleansing, data standardization, and data enrichment.

Let’s have a look at how Nektar enriches data and provides a better ROI on SalesForce

Optimize your Data for SalesForce Revenue Intelligence

Nektar’s Data+ is a powerful tool that enables AI-assisted automation to make your CRM data-packed and super smart. With Nektar, you can automate the process of enriching Opportunity Contact Roles on SalesForce. You don’t have to spend hours manually updating contact roles; Nektar will do it for you automatically. 

Poor SalesForce data translates into poor insights for revenue leaders. This can lead to SalesForce becomeing a wasted investment. Nektar completely transforms the situation with CRM automation resulting in unmatched ROI.

With data-packed CRM that continuously maintains the highest data integrity. Nektar self-heals all bad, stale, or missing data.

Nektar’s proprietary machine learning abilities mean it is constantly learning and improving, adapting to changes in your CRM data, and ensuring everything is up-to-date and accurate. It is imperative if your business deals with large amounts of data and needs to ensure that everything is always up-to-date.

But that’s not all – Nektar can also automatically build out the buying committee map as opportunities progress. It is a game-changer for businesses that deal with complex sales cycles and multiple decision-makers.

 At, we are fixing the dirty CRM data problem, end-to-end by:

  • Auto-capturing first-party customer information/interaction data scattered across all the sales communication channels.
  • Unifying critical buying committee contact data into the CRM.
  •  Generating revenue signals and triggering them as notifications on Slack/Email.

Want to know more about us and our SalesForce Revenue Intelligence solutions? Talk to our team. 


1.What is SalesForce Revenue Intelligence?

SalesForce revenue intelligence refers to the use of data analysis, AI, and machine learning techniques to gain insights and understanding into the factors that impact revenue generation. It involves analyzing sales and customer data to uncover patterns, trends, and opportunities for optimizing sales strategies, improving customer interactions, and ultimately driving revenue growth.

2. What is dirty data in SalesForce?

Dirty data in SalesForce refers to inaccurate, incomplete, or inconsistent data. This data can negatively impact sales forecasting, customer relationship management, and marketing campaigns.

3. What is a data hygiene process?

Data hygiene involves regular maintenance tasks to ensure data accuracy, completeness, and consistency. It includes activities like data cleansing, data standardization, and data enrichment.

Make your Salesforce a self-healing data-packed CRM with Nektar!


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