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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

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Top Account-Based Analytics Software Companies

Showing 10 of 93 companies ranked by annual revenue.

1
Ocurate

San Francisco, California, United States

Ocurate is a predictive analytics platform that provides real-time customer lifetime value (LTV) prediction for eCommerce businesses.

Revenue
$5M
Customers
-
Year founded
2021
Funding
-
Team size
-
Growth
-
2
MSIGHTS

Charlotte, North Carolina, United States

MSIGHTS is a cloud platform designed for marketing data transformation and media campaign performance reporting.

Revenue
$5M
Customers
20
Year founded
2003
Funding
-
Team size
35
Growth
-
3
Dataro

San Francisco, California, United States

Dataro helps nonprofits unleash the power of their data to do more good in the world. Our data analytics software turns donor data into donor predictions, helping fundraisers identify the best donors for their campaigns. Engage and retain the right donors with the right ask using Dataro's AI donor predictions.

Revenue
$4.7M
Customers
-
Year founded
2017
Funding
-
Team size
43
Growth
-
4
Kissmetrics

San Francisco, California, United States

Simple analytics that tracks human behavior to increase revenue Behavioral analytics and segmentation all in one place. Deeply understand and uniquely engage each customer from prospect to advocate. Built to help marketers and product teams increase conversions, engagement and retention.

Revenue
$4.4M
Customers
-
Year founded
2008
Funding
-
Team size
40
Growth
-
5
Konnecto

New Delhi , Delhi, India

Developer of an AI based-platform for marketing and commercialization strategy. The company's software gives brands a deeper understanding of their customers by collecting and analyzing personal private data from multiple platforms, building detailed profiles on each customer, providing the corporate clients and brands with insights and correlative data that help them build future marketing campaigns and sponsorships.

Revenue
$4.3M
Customers
-
Year founded
2015
Funding
-
Team size
2
Growth
308.15%
6
Connectivity

Burbank, California, United States

Connectivity provides customer intelligence solutions for businesses. We allow businesses to identify their best customers, understand customer opinions and recognize their competition. The platform helps businesses identify customer segments, areas of concentration and future growth opportunities.

Revenue
$4.3M
Customers
-
Year founded
2013
Funding
-
Team size
39
Growth
-
7
Influ2

New York, New York, United States

Influ2 is a contact-level ABM platform that addresses a reality traditional account-based marketing tools ignore: people make decisions, not accounts. Legacy ABM software stops at the account level and nameless personas, leaving go-to-market teams guessing who’s actually interested. Influ2 removes that blind spot by letting you target, engage, and measure impact at the contact level across the entire buying journey. Influ2’s contact-level advertising lets teams define who to target using sales activity, pipeline stages, and any other CRM data your team tracks to align with sales priorities. Deliver ads to just those people across LinkedIn, Facebook, Instagram, Google, Bing, Amazon, and more, and know exactly who saw or engaged with each message. Every impression and click is tied to a named person, without relying on cookies, IP targeting, or form fills (CCPA- and GDPR-compliant). Influ2 also brings contact-level intent into the mix. Marketing and Sales can see which buyers are researching relevant topics through search behavior, third-party content consumption, social activity, and ad engagement. These signals are shown with context (e.g., which topics each person is interested in) and can be pushed directly into sales workflows, so reps know who to prioritize and what to say. In addition to targeting and intent, Influ2 lets teams create contact-level buyer journeys. Marketing can control which ads are shown based on each person’s engagement and sales stage, so every buying group member sees content that reflects where they actually are in the decision process—not where an account score says they should be. Measuring ABM performance is also easier in Influ2. Instead of vague attribution models, Influ2’s reporting makes revenue impact clear by showing how specific contact-level engagements influence pipeline, sales conversion rates, and closed revenue. Influ2 is commonly used by ABM leaders, demand generation teams, growth marketers, and revenue marketers who share ownership of pipeline and revenue. By giving every team access to the same contact-level insights, Influ2 helps Marketing and Sales stay aligned throughout the buying journey. Enterprises and mid-market companies worldwide, including industry leaders such as Capgemini, AppsFlyer, and Hexaware have used Influ2 to bring ABM to the contact level. From pipeline generation and acceleration to customer retention and expansion, Influ2 is the only contact-level ABM platform built for how B2B buying actually happens.

Revenue
$4.3M
Customers
50
Year founded
2017
Funding
$11.4M
Team size
102
Growth
81.09%
8
inAppAd

Mineola, New York, United States

IQM help clients identify, understand, persuade and motivate voters with real-time consumer data, predictive analytics, and efficient digital media activation--all in one convenient platform.

Revenue
$4.2M
Customers
100
Year founded
2013
Funding
$500K
Team size
76
Growth
33.41%
9
Zymplify

Portstewart, Northern Ireland, United Kingdom

Founded in 2013, Zymplify is a leading Buyer Intent Activation and Intelligence Platform that transforms multi-source intent data into actionable insights. With 20 sources of validated data, Zymplify empowers businesses to predict and engage high-intent prospects at the right time in their buying journey. The platform’s intelligent activation capabilities seamlessly turn buyer signals into growth opportunities by integrating intent-driven data with sales and marketing efforts. By automating data activation and providing real-time insights, Zymplify helps teams focus on converting the most relevant opportunities, reducing acquisition costs, and driving scalable revenue.

Revenue
$4.2M
Customers
-
Year founded
2012
Funding
-
Team size
28
Growth
-
10
ThisThat

London, England, United Kingdom

Our SaaS platform and web app connect you to your fans faster than ever before, at scale, and with real-time insight.

Revenue
$4M
Customers
-
Year founded
2017
Funding
$392.8K
Team size
42
Growth
23.6%

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.