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Top 232 Account-Based Analytics Software SaaS Companies in May 2026

As of May 2026, there are 232 SaaS companies in Account-Based Analytics Software. They have combined revenues of $2B and employ 9.2K people. They have raised $807.6M and serve 14.2M customers combined.

Account-Based Analytics Software is designed to help organizations implement account-based marketing (ABM) strategies effectively by providing insights into account performance and engagement. It focuses on enhancing the targeting of high-value accounts, allowing sales and marketing teams to align their efforts better and drive conversions through personalized engagement. Typical use cases include tracking the engagement levels of specific accounts, analyzing buying signals, and measuring the effectiveness of marketing initiatives on those selected accounts. Common features of Account-Based Analytics Software include account selection and scoring, multi-channel engagement tracking, and performance analytics. These solutions often provide tools for lead-to-account mapping, campaign performance analysis, and predictive analytics to forecast account behaviors. Typical buyer personas include sales operations professionals, marketing managers, and data analysts who require granular insights into account behaviors and outcomes to inform strategy and decision-making.

Companies
232
Revenue
$2B
Funding
$807.6M
Employees
9.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Account-Based Analytics Software Companies

Showing 10 of 21 companies ranked by annual revenue.

1
SalesFuel

Westerville, Ohio, United States

B2B sales intelligence and enablement platform

Revenue
$10M
Customers
1.5K
Year founded
1989
Funding
-
Team size
23
Growth
19.03%
2
Diib

Salt Lake City, Utah, United States

Provider of a data management platform designed for small and medium businesses. The company provides predictive, simple, actionable analysis and sophisticated algorithms for businesses to improve website performance, campaigns and analyze accounts, providing businesses a mean to analyze and contextualize their data in a way that will increase revenue and provide a closer, more personal relationship with their analytics.

Revenue
$9.5M
Customers
250K
Year founded
2012
Funding
$4.3M
Team size
41
Growth
75.98%
3
Intentwise

San Diego, California, United States

The Intentwise platform stitches together your fragmented Amazon, Walmart, and other e-commerce data into a unified data store. We power reliable data pipelines, speed up your analytics, and unlock new ad optimizations. By connecting to all Amazon Ads and retail APIs, we're able to automate the collection of your critical marketplace data, then visualize it with a single click. With Intentwise Analytics Cloud, your data is automatically enriched—brand vs. non-brand keywords are segmented for you, foreign currencies are converted behind the scenes, etc.—so you can spend less-time looking for insights, and more time acting on them. Intentwise Ad Optimizer is built on the foundation of Intentwise Analytics Cloud, allowing you to consider retail metrics when managing your advertising and providing for faster troubleshooting and performance diagnostics. Intentwise Ad Optimizer also benefits from advanced AI recommendations that proactively audit your account for new opportunities, advanced UI capabilities like roll-ups and date range compare, and more. Intentwise Explore makes extracting insights from Amazon Marketing Cloud easier than ever. You don't need to be a SQL pro to use Intentwise Explore. Simply pick the query you want to run from the query library, or request a new one from our team of data scientists. In addition to scheduling queries in advance, you can use Intentwise Explore to visualize your results instantly, or use our templates to customize the reports to your exact specifications. When you work with Intentwise, you'll receive best-in-class customer support. Our team is available via live chat 24/7/365, and we respond in less than 5 minutes. We are a team of ex-Amazonians, agency owners, sellers, and brand owners who want to help each of our clients succeed on Amazon and Walmart. Reach out to learn more or book a demo of our platform.

Revenue
$8.8M
Customers
-
Year founded
2015
Funding
-
Team size
80
Growth
-
4
Pecan AI

Ramat Gan, Tel Aviv District, Israel

Pecan AI helps all businesses turn their data into precise, actionable predictions for growth and efficiency. Our platform uses generative AI to deliver accurate forecasts in days, not months - no code or data science experience needed. No Data Science Team Needed: Empower your existing analysts and BI teams to build and deploy AI models. Pecan’s no-code interface and automated machine learning mean you don’t need PhDs or hard-to-find data scientists on staff. Works with Messy Data: No pristine data required. Pecan handles the cleaning and feature engineering behind the scenes, so you can feed in real-world, messy datasets and still get reliable predictions. Rapid Deployment & Results: Go from raw data to live predictive models in record time (often within days). Our automated model-building and built-in intelligence let you iterate quickly, so you can act on insights while they’re fresh and relevant. High ROI Impact: Focus on opportunities that drive revenue and reduce costs. Pecan’s customers have significantly boosted marketing ROI, improved customer retention, and avoided the high costs of building in-house data science teams. Friendly, Approachable Experience: Advanced AI, but in a user-friendly package. Pecan’s intuitive platform guides you step by step, making predictive analytics approachable for any data-savvy team - no intimidation or jargon. Ready to turn your data into growth? Visit www.pecan.ai to see Pecan in action, and follow us here for insights on how predictive analytics can power your business forward.

Revenue
$8.6M
Customers
-
Year founded
2018
Funding
-
Team size
78
Growth
-
5
Foureyes

Lake Oswego, Oregon, United States

Foureyes, the intelligent sales platform, empowers salespeople to sell more. It is the only tool in the world that can match a person's phone call, form submission, and chat to their website activity. Data-driven OEMs, innovative companies, and dealerships large and small leverage Foureyes products to power sales success and help salespeople increase close rates. Foureyes 20/20: An outbound communication tool that delivers personalized inventory updates to improve engagement with leads. Foureyes Tap: A sales optimization system that spots opportunities in real-time, protects from sales pitfalls, and improves CRM utilization to increase close rates. Foureyes is wholly owned by Adpearance, a marketing and sales intelligence company based in Portland, OR. Learn more: https://foureyes.io/

Revenue
$8.2M
Customers
-
Year founded
2016
Funding
-
Team size
104
Growth
80.1%
6
Datlo

Maringá, Parana, Brazil

Datlo helps companies increase sales and expand through data

Revenue
$8.1M
Customers
-
Year founded
2019
Funding
-
Team size
51
Growth
-
7
Factors.AI

Stamford, Connecticut, United States

Simplifying Marketing Analytics and Decisioning using AI

Revenue
$7.6M
Customers
-
Year founded
2020
Funding
$2M
Team size
73
Growth
45.62%
8
Crayon

Boston, Massachusetts, United States

market and competitive intelligence platform

Revenue
$7.6M
Customers
500
Year founded
2014
Funding
-
Team size
84
Growth
-
9
Bounti

San Jose, CA, United States

Bounti is transforming the way companies prospect and sell in the AI era. We boost prospecting efficiency by leveraging extensive online data, offering detailed insights into target accounts and Ideal Customer Profiles (ICPs). With Bounti, personalized and company-specific messaging is crafted to address specific pain points, significantly boosting conversion rates rapidly and effectively.

Revenue
$7.5M
Customers
-
Year founded
2021
Funding
-
Team size
50
Growth
-
10
ChartMogul

Berlin, Germany

a subscription analytics and revenue reporting platform

Revenue
$7.2M
Customers
1K
Year founded
2014
Funding
$3.7M
Team size
67
Growth
43.07%

Inclusion Criteria

- Must provide account engagement metrics like reach percentage and lead-account relationships. - Should support multi-channel campaign tracking and reporting specific to targeted accounts. - Must include advanced analytics features for performance measurement and predictive insights. - Must have capabilities for account scoring and prioritization based on intent data. - Not just focused on general marketing automation; must address account-based engagement specifically.