ChannelMix 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.

Accurately measure bounce rate.

Track user return rates and related metrics.

Track what proportion of users convert via a certain action.

See how many users proceed down a certain path to conversion.

Accurately determine your websites most common entry and exit points, while displaying data elegantly.

Accurately measure total web traffic and display data logically.

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

Track user return rates and related metrics.

Track what proportion of users convert to customers via specific actions.

Gives users accurate reflection of how their search ratings compare with competitors.

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.

Analytic tools are also available for mobile and tablet versions of websites.

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.

Able to access user-specific data such as location, language, gender, and activity while on the site.

Report on keywords used in internal searches.

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

Track revenue and transactions.

Able to deploy promotional or other pop-up messages based on user actions.

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.

The ability to store large quantities of data for analysis within the platform itself.

Tools to fascilitate testing various user experience tweaks in order to determine which configuration has the best results.

Integrations with other software tools in order to fascilitate the exchange of data collected by various software.

Allows user flexibility into manipulating and digging deeper into the data that is provided through the tool.

Allows users to export reports from the product into an .xsl, .csv, or .pdf file.

Allows marketer to add, track, and measure a multitude of social media accounts.

Offers a white labeling service for agencies or resellers to customize platform branding.

Analyzes and illustrates follower information such as demographics, location, interests, etc.

Tracks how much engagement (views, likes, favorites, retweets, comments, etc.) each piece of content receives to highlight which types of content resonate best with the target audience.

Tracks and measures the success of paid advertising initiatives run on social media sites.

Ties social activity to business results such as leads, conversions, and sales.

Analyzes the performance of hashtags and identifies popular or trending hashtags.

Uses AI to accurately assess the sentiment of social media content based on keywords and phrases.

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Gives users the ability to subscribe to unique content or otherwise share contact information.

Helps users understand audience demographics and evaluate visitor behavior

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

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

Data collected and analyzed by the platform delivered in an easily digestible format.

Reports and other relevant data housed in a single, easy-to-navigate location.

Tools to analyze how customers use the site in order to optimize user experience and determine which pages are most successful.

Tools to track the success of various marketing campaigns in order to optimize marketing efforts.

The ability to collect and analyze customer data in order to determine which demographics make up a customer base.

Predictions of future behavior based on past and present data.

Monitor store key performance indicators (KPIs) in real-time

Generate forecasts using historical data and market trends

Creates reports and dashboards to analyze retail KPIs and metrics

Uses artificial intelligence (AI) to build forecasting models based on existing data sets

Provide templates for customer journey mapping to jumpstart the process.

Ability to export customer journey maps in a variety of formats to present and analyze.

Allow team members to invite others to collaborate on journey maps and make direct changes.

Provide the ability to compare the experiences of multiple personas in one journey map.

Ability to integrate with cross-channel, real-time data analytics to power customer journey map creation.

Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.).

Automates the testing and optimization of customer-facing messaging and campaigns.

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.

Provides features for B2B marketers.

Provides features for B2C marketers.

Enables marketers to track multiple marketing channels.

Integrates with other sales, marketing, and advertising software.

Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s).

Ability to measure product usage by feature, campaign performance by source, and other trending metrics.

Provides dashboards to combine and visualize quantitative and qualitive customer journey data.

Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data.

Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data.

Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics.

Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements.

Provides a cloud based version of the platform

Provides an on-premise version of the platform

Consolidates data from multiple sources

Gather multiple types of data from various sources

Allow users to update the data to ensure its accuracy and validity

Detect innacurate, incomplete, or duplicate data

Ensure that the data complies with internal quality standards

Offer mobile dashboards to view retail KPI in real-time

Support or include dedicated app for iOS and/or Android

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Easily integrate with POS software to monitor sales and customer data

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

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

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

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

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

Ability to break down and plan multi-step processes

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

Makes informed choices based on available data and objectives

Ability to break down and plan multi-step processes

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

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

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