Name: Firmnav
Author: Firmnav

Help Desk

Web and Video Conferencing

Customer Support

Bug  Tracking

WebOps

Development

Business Intelligence (BI)

Collaboration

Visual Collaboration

VoIP

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

On-Demand Payment

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printers

API Management

App Development

Browser

Cloud Storage

Component Content Management

Data Observability

Enterprise Architecture Management

Fraud Detection

Hosted Virtual Desktop

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Interoperability

MLOps

Network Access Control (NAC)

Network Performance Monitoring

Remote Support

Requirements Management

Security Awareness Training

Session Border Controllers

Voice Recognition

Web Application Firewalls

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Content Marketing

Digital Signage

Direct Mail Automation

Email Management

Email Marketing

Event Registration

Marketing Automation

Marketing Resource Management

Online Reputation Management

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Business Caller ID

Professional Services Automation

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Intelligence

Sales

Data Loss Prevention

Insider Risk Management

Security

Commercial Drone

Construction Accounting

HIPAA Compliance

Multiple Listing Service (MLS)

Smart Cities

Utilities

Vertical-Specific

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Firmnav is a no-code AI platform for revenue teams that enables businesses to build and activate AI models on top of their own data. According to the vendor, it is designed for businesses of all sizes, from small startups to large enterprises. The target audience for Firmnav includes Chief Commercial Officers (CCOs), Chief Revenue Officers (CROs), Chief Sales Officers (CSOs), advisors, banking professionals, sales professionals, business development managers, marketing professionals, and sales operations managers. It caters to a wide range of industries including banking, manufacturing, telco, energy, corporate finance, insurance, private equity, SaaS & Tech, and services.

## Key Features

**Data integration**: According to the vendor, users can connect their preferred commercial tools such as CRM, marketing automation, support, and warehouse. They can easily train AI models to power their commercial efforts with predictive analytics and activate their predictions directly into their existing stack.

**No-code engine**: The vendor claims that users can train AI models and make predictions without coding. They can leverage off-the-shelf AI models or build custom metric models without the need for data scientists or written code. This feature enables various use cases such as product recommendation, targeting, upselling, personalization, and resource allocation.

**Data ingestion**: The vendor states that users can connect and unify their own customer data into Firmnav AI Studio. They can utilize their own customer data to build AI models for various metrics such as customer lifetime value, win probability, deal size, sales cycle, and upsell.

**AI modeling**: According to the vendor, users can train AI models across different types, including binary classification, multi-class classification, multi-label classification, and quantitative predictions. They can refine their models with feedback using reinforcement learning and adaptive learning techniques.

**AI predictions**: The vendor claims that users can predict key customer metrics such as likelihood to buy a product, win probability, deal size, and sales cycle. They can gain insights into the factors driving these predictions and understand the reasons behind specific predictions through explainability features.

**Data enrichment**: According to the vendor, users can enrich their own customer data with external attributes such as financials, website text, social media, news, job posts, and funding. This external company data can enhance the accuracy and effectiveness of their AI models.

**Activation channels**: The vendor states that users can integrate and activate predictions directly into their preferred sales and marketing stack, including CRM, MAP, ads, and support. They can visualize and analyze predictions using custom metrics and visualization tools. Additionally, they can connect with various data sources, including core company data, CRM, data connectors, and data warehouse.

**Web experience**: According to the vendor, users can customize the web experience with features like semantic search, machine learning, webscraping, and pre-trained models. They can search for companies based on specific criteria and identify the most similar publicly-traded peers to any public or private company.

**Custom metrics (e.g. kWh energy)**: The vendor claims that users can predict energy consumption for each company by leveraging internal data, smart data, and deep learning models. They can identify and select the right customers based on Ideal Customer Profile (ICP) profiles, segmentation, AI-powered customer analysis, and sales plays. Additionally, they can use AI customer predictions to improve win rates and understand potential future customers.

**Win probability prediction**: According to the vendor, users can utilize AI to predict the win probability for each deal in their pipeline. They can identify the top positive and negative predictors driving these win probability predictions and improve sales strategies accordingly.

Personal

Team

Department

Organization

Clear Analytics

Basic

Uncat

Firmnav

Data Management Platforms (DMP) are one component of what is often referred to as "Ad Tech" or digital advertising technology. A DMP is a kind of data warehouse that sorts and stores information that is subsequently used by marketers and advertisers. The most typical use is to house structured information from a number of different systems and organizing it at the customer level (if it’s about your customers or prospects), or at the cookie level (if the person is unknown).

Data Management

Data Collection

Data collection is important for building a centralized repository of customer, audience, or user data.

Collection of first-party data

Collecting all first-party data (website traffic data, CRM; data, subscription data, social data, etc.) in a centralized place for subsequent analysis.

Collection of third-party data

Third-party (external) data is collected and combined with first-party data.

Access to Third-party Data Providers

Data transfer to ad networks and exchanges for media buys.

Data Classification

Classification of data is organizing it into taxonomies

Audience taxonomy

Software enables construction and organization of site data into a structured taxonomy.

Tag Management

Tag-based audience management to assist with categorizing data into a hierarchical data taxonomy

Data Analysis Dashboard

Dashboard enabling data to be segmented to help reach audiences more precisely.

Ad Network Integration

Integration with main ad networks, and exchanges to make accurate media buys.

Data Transfer

Transfer of data to ad exchanges to match third-party to segments.

DSP integration

Integration with DSP platforms for ad buying

DMP Analytics

Campaign Analytics

Dashboard for measuring and comparing campaign performance.

Audience Analytics

Visibility into the performance of different audience segments

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Data Management Platforms (DMP)

Firmnav

Overview

What is Firmnav?