  # Best Sales Analytics Software - Page 11

  *By [Julie Jung](https://research.g2.com/insights/author/julie-jung)*

   Sales analytics software reports on CRM data to reveal sales insights and forecast future performance, giving sales teams and managers visibility into activities, identifying high or under-performing salespeople, products, and communications, and enabling more predictable, data-driven sales strategies.

### Core Capabilities of Sales Analytics Software

To qualify for inclusion in the Sales Analytics category, a product must:

- Automate and visualize sales pipelines with customizable stages, risk factors, and scoring methods
- Report on the performance of salespeople, products, methods, and other available data
- Forecast sales numbers based on pipeline factors

### Common Use Cases for Sales Analytics Software

Sales managers and revenue operations teams use sales analytics software to make informed decisions and optimize sales performance. Common use cases include:

- Tracking pipeline health and identifying deals at risk of stalling or churning
- Measuring rep and team performance against quotas and historical benchmarks
- Forecasting revenue based on pipeline stage, deal velocity, and win rates

### How Sales Analytics Software Differs from Other Tools

Sales analytics products access data solely from sales tools, with core functionality focused on analyzing sales information specifically. Organizations seeking insights across a wider range of business data may opt for [business intelligence software](https://www.g2.com/categories/business-intelligence), which provides cross-functional analytics beyond the sales domain. Sales analytics systems are typically implemented on top of sales force automation and CRM systems and use existing data to surface insights, though some serve as both the CRM system of record and the analytics tool.

### Insights from G2 on Sales Analytics Software

Based on category trends on G2, pipeline visualization and sales forecasting accuracy stand out as the most valued capabilities. Improved forecast confidence and better visibility into rep performance stand out as primary drivers of adoption.




  
## How Many Sales Analytics Software Products Does G2 Track?
**Total Products under this Category:** 202

### Category Stats (May 2026)
- **Average Rating**: 4.48/5 (↓0.01 vs Apr 2026)
- **New Reviews This Quarter**: 443
- **Buyer Segments**: Mid-Market 46% │ Small-Business 33% │ Enterprise 21%
- **Top Trending Product**: Alta | AI GTM System of Actions (+0.03)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Sales Analytics Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 119,200+ Authentic Reviews
- 202+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
## Which Sales Analytics Software Is Best for Your Use Case?

- **Leader:** [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
- **Highest Performer:** [Substrata](https://www.g2.com/products/substrata-substrata/reviews)
- **Easiest to Use:** [Substrata](https://www.g2.com/products/substrata-substrata/reviews)
- **Top Trending:** [Gong](https://www.g2.com/products/gong/reviews)
- **Best Free Software:** [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)

  
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---

  
    ## What Is Sales Analytics Software?
  [Sales Tools](https://www.g2.com/categories/sales-tools)
  ## What Software Categories Are Similar to Sales Analytics Software?
    - [CRM Software](https://www.g2.com/categories/crm)
    - [Sales Performance Management Software](https://www.g2.com/categories/sales-performance-management)
    - [Email Tracking Software](https://www.g2.com/categories/email-tracking)
    - [Sales Coaching Software](https://www.g2.com/categories/sales-coaching)
    - [AI Sales Assistant Software](https://www.g2.com/categories/ai-sales-assistant)
    - [Sales Engagement Software](https://www.g2.com/categories/sales-engagement)
    - [Revenue Operations &amp; Intelligence (RO&amp;I) Software](https://www.g2.com/categories/revenue-operations-intelligence-ro-i)

  
---

## How Do You Choose the Right Sales Analytics Software?

### What You Should Know About Sales Analytics Software

### What is Sales Analytics Software?

Sales analytics software estimates the likelihood of sales outcomes using algorithms based on existing [CRM software](https://www.g2.com/categories/crm) data. In other words, sales analytics tools are meant to simplify sales forecasting and present predictive sales data in the form of statistical datasets and reports. Data is collected, modeled, analyzed, and then deployed within the tool in a readable manner that sales teams can filter and analyze. One of the major perks of sales analytics software is the ability to automate sales pipeline pattern tracking, eliminating the time-consuming task of tracking this data manually via spreadsheets. In terms of forecasting, teams can analyze pipeline activity over a period of time and compare multiple forecast models without the hassle of manually building a report.

Key Benefits of Sales Analytics Software

- View sales data in a variety of different ways
- Improve sales forecasting
- Evaluate sales performance more precisely
- Identify challenges encountered by your sales team
- Manage your sales pipeline and solve problems before they arise

### Why Use Sales Analytics Software?

This type of tool ultimately helps sales teams make more successful decisions. It also helps teams analyze their overall sales process and recognize better sales opportunities. Compiled datasets can be used to examine pipeline insights in an effort to understand where sales are being lost, which industries generate the most success, and which sales tactics are most effective. While this feature is the lifeblood of the tool, there are a few other reasons to implement a sales analytics software:

**More quick wins —** Sales analytics help visualize sales projects and cross-selling opportunities that are considered easy to win based on forecasting patterns and pipeline location. This data helps sales teams prioritize projects that are most likely to make it through to the end of the pipeline and ultimately become a customer. The datasets also visualize the potential for risky sales, allowing managers to spend more time planning and analyzing the correct pathway to a win.

**Team analytics —** Not only do sales analytics tools help visualize sales data, but they also measure team analytics. Sales managers are able to keep track of the progress and performance of each sales team member, easily identifying the most successful team members and the efficiency of the team overall. [Sales gamification software](https://www.g2.com/categories/sales-gamification) can typically be integrated with sales analytics software for additional team motivation.

**Integrations —** Sales analytics solutions easily integrate with other types of sales software offerings. By integrating with other sales software tools, you will also likely be able to simplify the workflow of your sales team. Rather than having several different tools open at a time, all of the information from all of your software will be accessible from one spot.

### Who Uses Sales Analytics Software?

Sales analytics software is, unsurprisingly, a big asset to sales teams as a whole. Depending on the department, the tool is helpful in a variety of ways:

**Sales representatives —** Sales teams use sales analytics tools for forecasting sales outcomes, which efficiently helps with prioritizing easy versus difficult sales projects and helps measure the potential of closing sales.

**Sales operations —** Sales representatives often use sales analytics on their own, but sales operations teams help representatives filter and understand the effectiveness of particular datasets and help convey project success, where needed. The goal of sales operations teams is to help representatives focus on selling, so operations teams typically handle the project management and training with the tool depending on the experience representatives have with understanding the datasets involved.

**Sales managers —** Sales managers are able to keep track of the progress and performance of each sales team member, easily identifying the most successful team members and the efficiency of the team overall.

### Sales Analytics Software Features

**Dashboards —** Sales analytics tools differ in the type and customizability of their dashboards. Some products offer dashboards that are highly dynamic, allowing you to view data in a large number of ways by segmenting information. Others have dashboards that are more static, so sales teams cannot customize them. These options are often less expensive and typically easier for sales representatives to manage.

**Forecasting analytics —** Forecasting analytics alleviates human error by automating forecasting predictions and eliminating the need for modeling manually via spreadsheets. The forecasting features provide informative datasets in a visual format to help sales teams predict sales outcomes.

**Mobile capabilities —** Sales teams, especially outside sales teams, are often on the go and rely on mobile phones to take care of a lot of their sales functions. Many solutions offer dataset visualization across multiple platforms, including mobile.

**Lead analytics —** A beneficial use for sales analytics software is predictive lead scoring, which identifies trends in the customer pipeline and uses these trends to predict how far along a lead is in the pipeline. This allows sales teams to qualify and prioritize opportunities based on which leads are most likely to close. This feature works similarly, and can be integrated with, [sales intelligence software](https://www.g2.com/categories/sales-intelligence).

### Trends Related to Sales Analytics Software

**AI capabilities —** While sales analytics tools already incorporate machine learning algorithms to evaluate sales performance, as well as predict future sales outcomes, artificial intelligence (AI) is gearing up to make a bigger impact on the tool and sales software in general. AI is predicted to help incorporate more real-time insights for more on-demand sales opportunities. With real-time models and instant datasets, sales teams can make more sales in shorter periods of time without additional manual effort.

### Software and Services Related to Sales Analytics Software

[**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **—** Predictive analytics software is a tool used to create algorithmic statistical datasets based on historical data patterns to better understand customers, products, and partners. It also helps identify potential risks and opportunities for a company overall.

[**AI sales assistant software**](https://www.g2.com/categories/ai-sales-assistant) **—** Like sales analytics software, AI sales assistant software is also a time-saving tool for sales teams. The software’s main features include automating tasks and processes like lead qualification, lead follow-up, pipeline management, forecasting, meeting scheduling, and data entry.



    ---
## What Are the Most Common Questions About Sales Analytics Software?
*AI-generated · Last updated: April 27, 2026*
  ### Which solution supports multi-channel sales data tracking?
  Based on G2 reviews, several products are used to centralize activity from multiple sales channels.

- [HubSpot Sales Hub](https://www.g2.com/products/hubspot-sales-hub/reviews) -- reviewers frequently use it to track emails, calls, deals, tasks, and pipeline activity in one place, with repeated mentions of integrations across other business tools.
- [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) -- users describe it as a central system for leads, opportunities, customer data, and cross-team sales activity, often highlighting integrations and a unified customer view.
- [Pipedrive](https://www.g2.com/products/pipedrive/reviews) -- recent reviewers highlight its ability to organize deals, emails, activities, reminders, and integrations in a clear pipeline-focused workflow.
- [Gong](https://www.g2.com/products/gong/reviews) -- reviewers use it to capture calls, emails, meeting history, and account context, helping teams analyze customer interactions across channels.


  ### Which vendor offers real-time sales KPI dashboards?
  Based on G2 reviews, these products are often used for live visibility into sales activity and pipeline progress.

- [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) -- reviewers repeatedly mention dashboards and reports for pipeline visibility, rep performance tracking, and monitoring KPIs in one place.
- [HubSpot Sales Hub](https://www.g2.com/products/hubspot-sales-hub/reviews) -- users often reference dashboards for tracking deals, team activity, forecasts, and customer progress with real-time updates.
- [Clari](https://www.g2.com/products/clari/reviews) -- reviewers highlight forecast views, pipeline visibility, and dashboard layouts that help teams monitor business performance and deal movement.
- [Pipedrive](https://www.g2.com/products/pipedrive/reviews) -- users describe visual dashboards and reporting that make it easier to track pipeline stages, activities, and sales performance trends.


  ### Which vendor provides AI-powered sales performance insights?
  Based on G2 reviews, these products are commonly mentioned for AI-assisted analysis and coaching.

- [Gong](https://www.g2.com/products/gong/reviews) -- reviewers frequently mention AI summaries, call analysis, coaching insights, forecasting support, and surfacing risks or next steps from conversations.
- [Clari](https://www.g2.com/products/clari/reviews) -- users describe AI-assisted forecasting, predictive views, and pipeline signals that help sales teams understand deal progress and expected outcomes.
- [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) -- reviewers often cite AI-driven lead scoring, opportunity insights, automation, and reporting that support sales productivity.
- [Substrata](https://www.g2.com/products/substrata-substrata/reviews) -- recent reviews emphasize AI-generated insights from conversations, buyer intent signals, and guidance that supports prioritization and deal strategy.


  ### What is sales analytics software?
  Sales analytics software helps teams organize and interpret sales activity, pipeline movement, customer interactions, and performance trends in one place. Across recent reviews in this category, users consistently describe these tools as a way to replace scattered spreadsheets and disconnected systems with clearer visibility into deals, forecasts, tasks, and team activity. Common use cases include tracking leads and opportunities, monitoring dashboards and reports, reviewing customer conversations, and identifying where follow-up or coaching is needed. Review themes also show that buyers value automation, centralized data, and easier reporting, while often noting that setup, customization, or learning the interface can take time depending on the product.


  ### How do teams use AI and automation in sales analytics?
  According to verified users, teams most often use AI and automation in sales analytics to reduce manual work and surface clearer next steps. Recent reviews repeatedly mention automated follow-ups, task reminders, call summaries, forecasting support, lead scoring, and faster access to account history or pipeline changes. Users also describe AI helping analyze customer conversations, identify risk signals, summarize meetings, and highlight where reps may need coaching. At the same time, reviews show a common theme that these features work best when the underlying data is organized well. Buyers often value the time savings and visibility, but they also mention a learning curve when adopting more advanced workflows, dashboards, or AI-driven insights.



