HockeyStack Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

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.

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.

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

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.

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.

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.

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

Helps users understand audience demographics and evaluate visitor behavior

Adds intelligent social share buttons to your campaigns and content. Tracks who is sharing your content and driving conversions.

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

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

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

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 connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

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.

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.

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

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

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

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

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

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

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Connects to multiple software systems or databases to gather relevant context data for AI agents

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience

Turns unstructured conversation data into clear, actionable insights for coaching, deal analysis, and operational improvement

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

Augments, improves or enriches CRM data

Gathers actionable insights from customer interactions for strategic decison making

Flags deals at risk, declined engagement, stalled opportunities, or other warnings in order to prevent issues from escalating

Coordinates and aligns on actions across sales, marketing, customer success, and RevOps in a unified platform

Surface insights from key deals, account signals, conversations, and win/loss patterns for offering data-driven coaching or feedback

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

Collects and organizes customer interaction data from multiple channels or systems