Zipy 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.

Obtain live data for who is currently accessing your site.

Report on how any user activity has changed over time.

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.

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.

Tracks where users are clicking on a web page.

Tracks mouse movement over a web page.

See where users experience the most difficulty on a web page.

Tracks sessions where users encountered errors and bugs.

Split web traffic to a page between two different URLs.

Offers insights into relationships between user information and user behavior.

Leave notes on sessions and bugs.

Collects user information (location, IP address, email, etc.).

Search sessions by keywords or IP address.

Track and interpret metrics on the usage of company resources

Give users in-app method of reporting bugs and leaving general performance feedback.

Give testers in-app method of reporting bugs and leaving general performance feedback.

Give team members method of reporting bugs and leaving comments on bug status.

Provide reproducible, insightful info surrounding bug and crash scenarios.

Track history of bug status by application version, date, etc.

Store bug tracking data for an appropriate and useful amount of time.

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.

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

Assign issues and tasks based on availability or required skills

Arrange tasks based on the level of priority or urgency

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

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Enable businesses to implement machine learning algorithms on business data such as sales and revenue

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

View analytics for multiple products in a single dashboard, including cross-product engagement

Ability to see analytics at the user level.

Ability to see analytics at the account level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Scores customers and visitors to identify at-risk or thriving accounts.

View analytics for multiple products in a single dashboard, including cross-product engagement

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Receive automated alerts and reports based on gains or losses in performance.

Breadth and functionality of integrations with third-party products.

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

A record of all activities within the system, including user access, changes made, etc.

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

Estimate or forecast of a future scenario based on the study of present trends

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Track, manage, or resolve user requests and IT incidents/issues

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

Track the status over time for a request, process, asset, or transaction

Reporting on how each user, task or process has advanced since its initiation

Create, design and manage workflows for repetitive tasks

Measure time to completion or hours worked for projects

Record and follow the progress of every issue

Configure existing workflows to meet your organization's needs

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

Iterative project Management approach that involves technologies such as Kanban, Scrum, XP, APF, XPM and more

Customize data fields to support various needs and use cases

The process of evaluating, scheduling, and assigning tasks that have been put on the back burner in favor of higher priority items.

Receive system updates as soon as any changes are made

Allow users to access multiple services after entering their login credentials once

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

Track and manage the scheduling of tasks

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

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

Create, manage and track all task activities and progression

Plan and coordinate all the resources, costs and time needed to execute assignments

Organize and schedule projects

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Connect to code repositories (e.g., Git or SVN) to import a project or automate the scanning of source code

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

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

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

Ability to handle several projects simultaneously

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

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

Create, save, and store files

Identify and respond to unexpected problems or failures (ie. "negative events")

Graphical representation of data

The creation of a bug/issue ticket, submitted by a team member, customer or end user

Monitor and track bugs and issues in the system.

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

Leave comments and notes on documents for others to view

An @mention is a way to tag or notify a specific person about a message/post

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

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

Track the status and progress of tasks

Notifications that are delivered to users as soon as an event occurs

Define levels of authorization for access to specific files or systems

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

Method of analysis that visualizes the series of events that lead towards a defined goal.

Capture, organize and track product-specific data and information in a centralized location

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

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

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

Record active support and chat sessions for auditing and training

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

Graphical representation of data

Visualize and analyze customer experience across all touchpoints and channels

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

Edit and personalize data view as needed

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