Channel99 Features

Accurately measure total web traffic and present data elegantly.

Configure and accurately measure an appropriate measure of engagement, such as average session length, page views per session, amount of scrolling, etc.

Accurately determine where most people enter your site and where they leave and present data elegantly.

Software automatically tracks standard user actions.

Able to set up custom variables to track any user activity on the site.

Track user return rates and related metrics.

Obtain live data for who is currently accessing your site.

Report on how any user activity has changed over time.

Report on user activity in the past and set up predictive models for the future.

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Able to unify user data across devices, recognizing returning users.

Allows users to easily build customized reports and dashboards.

Provides customizable dashboards that allow users to view and manage data.

Displays attribution data through easy-to-interpret charts and graphs.

Allows users to build custom reports.

Report on keywords used in internal searches.

Analyze inbound marketing traffic to identify which campaigns are working best.

Track revenue and transactions.

System can self-monitor critical metrics and alert administrators when they reach concerning levels.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Able to test that event and variable setup are reporting data accurately.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Provides tools that help identify key topics that are trending, as well as the content that customers are more likely to engage with.

Helps determine the correlation between ad exposure and site visits, assets downloaded, content, leads generated, etc.

Prioritizes leads through lead scoring, market insights, account-level insights, etc.

Review data from past periods to reveal recurring tendencies and predict future performance

Provides customer and prospect segmentation capabilities, which in turn assists marketing prioritization and effectiveness.

Automatically scores prospects based on behavior and engagement levels.

Helps identify and distribute accounts internally, giving prioritization to those that are more likely to convert to sales.

Score a lead based on quality or likelihood to buy/convert based on predetermined criteria

Provides tracking across multiple digital advertising channels, such as video, mobile, and social media.

Helps allocate marketing budget based predicted amount of incoming revenue.

Assists in the attribution of marketing budget by identifying successful campaigns and initiatives.

Provides a timeline to visualize the effects of individual campaigns, leads, and other opportunities.

Allows for custom report types to match the goals of a company.

Provides tools to analyze every stage of the customer journey to customize an account-based funnel.

View and track pertinent metrics to find patterns and gain insights from data

Track and interpret campaign performance metrics

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Collects and reports on data relating to customer journeys, preferences, and history

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Includes features for budgeting, forecasting, and managing marketing investments

Collect information from multiple sources

Tracks metrics that provide insight into how a user interacts with any interface or product

Track and monitor a specific set of keywords

Track visitors'/audience's responses across web pages and other optimized content

Track the performance of marketing campaigns across multiple channels.

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Optimize and manage the search engine optimization efforts for a website or digital content

Generate or append custom campaign parameters to URLs

Receive data and information in real time

Track and document all activities across devices, networks, and other systems

Track the amount of clicks on individual products to measure campaign results

Manage, organize, and store contact information

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Manage, store and organize emails within the system or via third-party apps

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Manage various distribution channels, build relations with channel partners, and track their performance

Create, save, and re-purpose templates for emails, forms, etc.

Create, design and manage workflows for repetitive tasks

Analyzes historical and current marketing campaigns to inform future strategy

Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities

Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Manage multiple campaigns in one system

Track and interpret campaign performance metrics

Track and analyze information regarding website visitors

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

Send automated marketing emails based on user actions over a predetermined period

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

Alter the layout and content of reports

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Can act as a content marketing platform.

Can engage with customers across any device with a consistent message.

Create and send email blasts/campaigns

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Receive data and information in real time

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Uses artificial intelligence to provide suggestions based on desired outcomes.

Uses an attribution model that assigns credit to one touchpoint in the customer’s journey.

Uses an attribution model that assigns credit to all touchpoints in the customer’s journey.

Uses machine learning to create an attribution model.

Tracks customer interactions across mobile and desktop.

Allows users to track touchpoints through offline channels, such as events.

Allows the user to create a custom attribution model.

Track user conversions from all digital sources

Provides features for B2B marketers.

Provides features for B2C marketers.

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Set up connections to third-party platforms to improve business processes

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Allows users to track how previous revenue forecasts have developed over time

Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities

Reports results on revenue attainment, conversion rate, and overall revenue analytics

Allows users to view data visualizations on several devices

Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success

Automatically associates calendar invites to update deal progress in a CRM

Automatically associates sales activities within emails to the relevant accounts in your CRM

Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM

Automatically links marketing leads to sales generated opportunities in your CRM

Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Identifies accounts that sales reps aren't engaging with

Maximizes account coverage by determining the optimal number of accounts per rep

Identifies common themes among historical deals that are won or lost

Identifies common themes and actions amongst reps that close the most deals

Allows users to track the level of engagement with each account and provides insights on frequency of engagement

Identifies common themes among historical deals that are won or lost to provide insights into successful strategies

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Set up connections to third-party platforms to improve business processes

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Seamlessly integrates with 3rd party websites

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Identify and map entities within content to improve semantic understanding by AI systems

Connect content to entities and knowledge graph relationships to strengthen contextual signals

Evaluate content context, topic coverage, and meaning to improve semantic discoverability

Strengthen topical authority signals so AI systems recognize content as a credible source

Find prompts where competitors appear but your brand does not.

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

See where your brand appears in AI-generated answers.

Review data from past periods to reveal recurring tendencies and predict future performance

Connect data to tools like GA4, Looker Studio, Tableau, and more

Connect data to tools like GA4, Looker Studio, Tableau, and more

Structure content into retrievable passages optimized for AI search and retrieval pipelines

Optimize content structure and clarity to increase the likelihood of AI-generated citation

Analyze whether content is technically and structurally ready for AI retrieval systems

Evaluate how well content aligns with natural language prompts used in AI search environments

Assess how AI engines classify and represent the brand as an entity.

Track references and citations of organizational content within AI answer engines

Monitor when and how content appears within AI-generated responses

Analyze visibility and performance across AI-powered search and answer environments

Monitor brand visibility across regions and languages.

Measure brand prominence in AI-generated answers to specific queries.

Track which AI bots visit and index your site.

View and track pertinent metrics to find patterns and gain insights from data

Structure digital content so AI-powered search engines and answer systems can interpret and retrieve information accurately

Enhance content with structured data and schema markup to improve machine-readable meaning

Format headings, passages, and metadata to improve how AI systems parse and extract information

Prepare content for retrieval and citation within large language model search and answer systems

Software program that continuously adjusts its behavior based on observed data

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Manage multiple campaigns in one system

Group campaigns by project, client, or campaign for better management.

Manage various distribution channels, build relations with channel partners, and track their performance

Manage advertising space and its sales within your network or publication

View and track pertinent metrics to find patterns and gain insights from data

Plan and strategize marketing campaigns

A report showing what actions customers perform

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Application programming interface that allows for integration with other systems/databases

Import and export data to and from software applications

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Use AI to generate content in the form of text, images, videos, etc.

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Visualize and analyze customer experience across all touchpoints and channels

Track an affiliate partner's promotion of a product or service and any associated sales

Predict future data based on historical data sets

Observe and track the demand, usage, progress or quality of a system, product, or user

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Automatically identify and save contact information of potential customers

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Analyzes the amount of credit that should be assigned to sales and conversion touchpoints.

Monitor conversion rates and analyze effectiveness and profitability of marketing efforts

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Track and interpret campaign performance metrics

Track visitors and purpose of visits

Process of dividing customers into groups based on common characteristics

Alter the layout and content of reports

Creation and customization of dashboards

Track and analyze information regarding website visitors

Tracks metrics that provide insight into how a user interacts with any interface or product

Score a lead on their quality or likelihood to buy based on certain behaviors

Track visitors'/audience's responses across web pages and other optimized content

Track overall brand presence in AI with a unified metric.

Measure brand presence as a percentage of AI-generated conversations.

Audit and rate content for AI citation readiness.

Attribute web sessions and conversions to AI platforms.

Cluster queries by topic for clearer analysis.

Identify and rank cited domains to inform content strategy.

Check if key pages are accessible to AI crawlers.

Ability that lets users rebrand the software to make it look like their own

Preview content changes’ impact on AI responses before publishing.

Review and enhance schema for better AI comprehension.

Create and manage llms.txt files for AI crawler guidance.

Track brand visibility across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and more.

Application programming interface that allows for integration with other systems/databases

Generate AI-ready articles and FAQs within the platform.

Access curated or suggested prompts for coverage.

Provides a channel for team members to share media files, communicate, and work together

Filter visibility data by buyer persona or job role.

Manage multiple brands with separate dashboards.

Optimize and manage the search engine optimization efforts for a website or digital content

Alert teams to AI-generated brand inaccuracies or errors.

Access authentic user queries sent to AI platforms.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Compare brand frequency and position versus competitors in AI content.

Distributing content through various platforms or channels

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Visual representation of sales prospects & how many deals are in your sales funnel, the stage each deal is in, and the value of deals.

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Engage with a lead throughout the sales process by actively providing information

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Arrange tasks based on the level of priority or urgency

Score a lead on their quality or likelihood to buy based on certain behaviors

Automate workflows and trigger campaigns based on customer actions

Search and filter data across systems to locate required information by entering keywords or certain criteria

The ability to create unique content

Plan marketing campaigns for events

Market event via social media tools

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Use AI to generate content in the form of text, images, videos, etc.

Import and export data to and from software applications

Manage the process of attracting and converting business prospects into leads

Group campaigns by project, client, or campaign for better management.

Customize contracts and forms to collect specific information

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Observe and track the demand, usage, progress or quality of a system, product, or user

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Pre-designed layouts that can be customized to match preferences and requirements

Pre-made examples and templates for emails

Web form that allows users to enter data that is sent and processed for different reasons

Automatically identify and save contact information of potential customers

Add customized logos and colors to align with company branding

Active reporting of data and metrics

Plan and strategize marketing campaigns

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Process of dividing customers into groups based on common characteristics

Set campaign schedules by selecting start, pause, and end dates

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Create and automatically send premade copy in response to customer messages

Assemble applications and processes by dragging over and arranging pre-built components

Predefined actions automatically performed on the occurance of specific events

Create and send email blasts/campaigns

Application programming interface that allows for integration with other systems/databases

Customize data fields to support various needs and use cases

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Graphical representation of data

Generate one-off reports that meet information requirements

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Connect to big data sources

Search and filter data across systems to locate required information by entering keywords or certain criteria

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Visualize and analyze customer experience across all touchpoints and channels

Tracking the status of previously identified performance measurements

Analytics that breaks the data in a data set into related groups/categories.

Tracks metrics that provide insight into how a user interacts with any interface or product

Manage, organize, and store contact information

Visualize and analyze customer experience across all touchpoints and channels

Use AI to generate content in the form of text, images, videos, etc.

Application programming interface that allows for integration with other systems/databases

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Manage the process of attracting and converting business prospects into leads

Combining data from different sources and providing a unified view

A report showing what actions customers perform

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and document all activities across devices, networks, and other systems

Group campaigns by project, client, or campaign for better management.

Automatically identify and save contact information of potential customers

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Track visitors'/audience's responses across web pages and other optimized content

Analyze and gain insights into data in real-time

Manage, store and organize emails within the system or via third-party apps

Score a lead on their quality or likelihood to buy based on certain behaviors

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, save, and re-purpose templates for emails, forms, etc.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Predict future data based on historical data sets

Gauge satisfaction and receive information for improvement and success

Adjust communications based on previous interactions or personal preferences

Plan and strategize marketing campaigns

Set up connections to third-party platforms to improve business processes

Track and analyse user behavior within a system or network

Track delivered, received, and opened emails

Track and interpret campaign performance metrics

Process of dividing customers into groups based on common characteristics

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Manage various distribution channels, build relations with channel partners, and track their performance

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Ensure compliance with the General Data Protection Regulation protocols

Record customer information, purchase history, and other notes

A collection of customer information such as contact details, demographics, previous interactions, etc.

Allows users to manage data from a number of sources

Predefined actions automatically performed on the occurance of specific events

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Pre-designed layouts that can be customized to match preferences and requirements