InfiniGrow Features
Statistical Tool (3)
Scripting
Supports a variety of scripting environments
Data Mining
Mines data from databases and prepares data for analysis
Algorithms
Applies statistical algorithms to selected data
Data Analysis (2)
Analysis
Analyzes both structured and unstructured data
Data Interaction
Interacts with data to prepare it for visualizations and models
Decision Making (4)
Modeling
Offers modeling capabilities
Data Visualizations
Creates data visualizations or graphs
Report Generation
Generates reports of data performance
Data Unification
Unifies information on a singular platform
Lead Intelligence (3)
Market Insights
Provides tools that help identify key topics that are trending, as well as the content that customers are more likely to engage with.
Account-level Insights
Helps determine the correlation between ad exposure and site visits, assets downloaded, content, leads generated, etc.
Lead Analysis
Prioritizes leads through lead scoring, market insights, account-level insights, etc.
Lead Management (3)
Segmentation
Provides customer and prospect segmentation capabilities, which in turn assists marketing prioritization and effectiveness.
Predictive Scoring
Automatically scores prospects based on behavior and engagement levels.
Account Identification
Helps identify and distribute accounts internally, giving prioritization to those that are more likely to convert to sales.
Marketing Campaigns (6)
Omni-Channel Tracking
Provides tracking across multiple digital advertising channels, such as video, mobile, and social media.
Revenue Planning
Helps allocate marketing budget based predicted amount of incoming revenue.
Media Attribution
Assists in the attribution of marketing budget by identifying successful campaigns and initiatives.
Opportunity Timeline
Provides a timeline to visualize the effects of individual campaigns, leads, and other opportunities.
Customization
Allows for custom report types to match the goals of a company.
Journey Analytics
Provides tools to analyze every stage of the customer journey to customize an account-based funnel.
Tools (3)
Contact Collection
Gives users the ability to subscribe to unique content or otherwise share contact information.
Audience Insights
Helps users understand audience demographics and evaluate visitor behavior
Social Sharing
Adds intelligent social share buttons to your campaigns and content. Tracks who is sharing your content and driving conversions.
Metrics (6)
Entry and Exit Pages
Accurately determine your websites most common entry and exit points, while displaying data elegantly.
Sessions
Accurately measure total web traffic and display data logically.
Engagement
Configure and accurately measure an appropriate measure of engagement, such as average session length, page views per session, amount of scrolling, etc.
Return
Track user return rates and related metrics.
Conversions
Track what proportion of users convert to customers via specific actions.
Search Rank
Gives users accurate reflection of how their search ratings compare with competitors.
Marketing Operations (5)
ROI Tracking
As reported in 30 InfiniGrow reviews.
Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs
Data Collection
Based on 27 InfiniGrow reviews.
Gathers data about the effectiveness, impact, and reach of marketing campaigns
Customer Insights
24 reviewers of InfiniGrow have provided feedback on this feature.
Collects and reports on data relating to customer journeys, preferences, and history
Multi-User Access
This feature was mentioned in 28 InfiniGrow reviews.
Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results
Spend Management
This feature was mentioned in 26 InfiniGrow reviews.
Includes features for budgeting, forecasting, and managing marketing investments
Campaign Activity (6)
Campaign Insights
As reported in 30 InfiniGrow reviews.
Analyzes historical and current marketing campaigns to inform future strategy
Reports and Dashboards
This feature was mentioned in 32 InfiniGrow reviews.
Creates reports and dashboards to analyze results of campaigns
Campaign Stickiness
As reported in 25 InfiniGrow reviews.
Identifies which marketing campaigns resolved in open or closed opportunities
Multichannel Tracking
Based on 31 InfiniGrow reviews.
Collects marketing campaign performance data across multiple channels
Brand Optimization
23 reviewers of InfiniGrow have provided feedback on this feature.
Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback
Predictive Analytics
As reported in 21 InfiniGrow reviews.
Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization
Attribution Modeling (6)
Single-Touch Attribution
26 reviewers of InfiniGrow have provided feedback on this feature.
Uses an attribution model that assigns credit to one touchpoint in the customer’s journey.
Multi-Touch Attribution
As reported in 28 InfiniGrow reviews.
Uses an attribution model that assigns credit to all touchpoints in the customer’s journey.
Algorithmic Attribution
This feature was mentioned in 23 InfiniGrow reviews.
Uses machine learning to create an attribution model.
Cross-Device Attribution
Based on 20 InfiniGrow reviews.
Tracks customer interactions across mobile and desktop.
Offline Attribution
This feature was mentioned in 19 InfiniGrow reviews.
Allows users to track touchpoints through offline channels, such as events.
Custom Attribution
As reported in 22 InfiniGrow reviews.
Allows the user to create a custom attribution model.
Marketing (3)
B2B Attribution
This feature was mentioned in 25 InfiniGrow reviews.
Provides features for B2B marketers.
Marketing Channels
Based on 24 InfiniGrow reviews.
Enables marketers to track multiple marketing channels.
Integrations
Based on 25 InfiniGrow reviews.
Integrates with other sales, marketing, and advertising software.
Reporting (3)
Dashboards
Based on 27 InfiniGrow reviews.
Provides customizable dashboards that allow users to view and manage data.
Data Visualizations
This feature was mentioned in 26 InfiniGrow reviews.
Displays attribution data through easy-to-interpret charts and graphs.
Custom Reporting
24 reviewers of InfiniGrow have provided feedback on this feature.
Allows users to build custom reports.
Platform Basics (2)
Dynamic Segmentation
Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.).
Journey Optimization
Automates the testing and optimization of customer-facing messaging and campaigns.
Platform Data (4)
Journey Reporting
Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s).
Trends Reporting
Ability to measure product usage by feature, campaign performance by source, and other trending metrics.
Dashboards
Provides dashboards to combine and visualize quantitative and qualitive customer journey data.
Advanced Data Filtering
Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data.
Platform Additional Functionality (3)
Journey Mapping
Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data.
Integrations
Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics.
Automated Alerts
Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements.
Revenue Sourcing and Forecasting (7)
Revenue History
Allows users to track how previous revenue forecasts have developed over time
Pipeline Management
Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities
Dashboard Analytics
Reports results on revenue attainment, conversion rate, and overall revenue analytics
Multi-Device Data Visualization
Allows users to view data visualizations on several devices
Data Segmentation
Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.
Predictive Forecasting
Provides users with ability to predict upcoming forecast based on AI insights and deal health
Revenue Operations Cadence
Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success
CRM Data Enrichment (5)
Calendar Sync
Automatically associates calendar invites to update deal progress in a CRM
Email Activity Capture
Automatically associates sales activities within emails to the relevant accounts in your CRM
Conversation Intelligence
Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM
Marketing Leads
Automatically links marketing leads to sales generated opportunities in your CRM
Contact Capture
Automatically captures contacts engaged with and associates to relevant accounts in a CRM
Account Management (6)
Nonengaged Accounts
Identifies accounts that sales reps aren't engaging with
Account optimization
Maximizes account coverage by determining the optimal number of accounts per rep
Historical Patterns
Identifies common themes among historical deals that are won or lost
Rep Performance
Identifies common themes and actions amongst reps that close the most deals
Account Engagement
Allows users to track the level of engagement with each account and provides insights on frequency of engagement
Historical Win/Loss Patterns
Identifies common themes among historical deals that are won or lost to provide insights into successful strategies
Generative AI (2)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
Agentic AI - Customer Journey Analytics (4)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Marketing Analytics (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Attribution (4)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Revenue Operations & Intelligence (RO&I) (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Account-Based Analytics (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Content Analytics (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Marketing Resource Management (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Agentic AI - Revenue AI Platforms (6)
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Connects to multiple software systems or databases to gather relevant context data for AI agents
Decision Making
Makes informed choices based on available data and objectives
Adaptive Learning
Improves performance based on feedback and experience
Platform - Revenue AI Platforms (9)
Conversation Intelligence
Turns unstructured conversation data into clear, actionable insights for coaching, deal analysis, and operational improvement
Predictive Forecasting
Provides users with ability to predict upcoming forecast based on AI insights and deal health
CRM Data Enrichment
Augments, improves or enriches CRM data
Actionable Insights
Gathers actionable insights from customer interactions for strategic decison making
Risk Flagging
Flags deals at risk, declined engagement, stalled opportunities, or other warnings in order to prevent issues from escalating
Workflow Orchestration
Coordinates and aligns on actions across sales, marketing, customer success, and RevOps in a unified platform
Sales Coaching
Surface insights from key deals, account signals, conversations, and win/loss patterns for offering data-driven coaching or feedback
Pipeline & Deal Management
Allows users to track pipeline to identify deals that are stalled, at risk, and future opportunities
Customer Data Capture
Collects and organizes customer interaction data from multiple channels or systems



