Tracksuit Features

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

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

Creates reports and dashboards to analyze results of campaigns

Collects marketing campaign performance data across multiple channels

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

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

Compare and contrast products, brands, sentiment, etc.

Provides AI generated insights.

Quantifies digital consumer intelligence to analyze brand health.

Identification and analysis of brand or product trends.

Capability to track and measure brand results over time.

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.

Supports various research types: brand tracking, concept testing, CX, campaign evaluation, journey mapping.

Adjusts templates, quotas, norms, language, and structure for different markets, verticals, and geographies.

Suggests logic paths, mitigates bias (order, fatigue), and optimizes question flow.

Enables users to build surveys with branching, quotas, randomization without needing vendor support.

Dynamically generates follow-up questions during survey based on respondent answers to deepen insight.

Survey design technique that directs respondents to different questions based on their previous answers

Capability of a software or system to make decisions and perform actions based on specified conditions

Supports multiple sourcing modes: panels, open links, partner audiences.

Allows uploading of first-party customer / CRM lists for sampling or recontact.

Gives access to pre-profiled consumer panels for targeting.

Receive data and information in real time

Enables launching, collecting, and closing studies quickly (hours to days) for agile insights.

Implements checks (fraud, attention, logic, cleaning) during collection to ensure data reliability.

Supports surveys via mobile, SMS, app, web, adapting delivery to device and context.

Automates summary, trend detection, clustering, and insights generation.

Supports qualitative methods like open-text, video, or discussion feedback.

Offers benchmarks, industry norms, comparative analytics.

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

Provides interactive dashboards, narrative visualizations, and embedding into external systems or BI tools.

Allows embedding insight modules, export to other systems, push-to BI or product dashboards.

Enables team collaboration, commenting, version control, and stakeholder review flows.

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

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

Alter the layout and content of reports

Tailored or customizable questions for more targeted and relevant data collection

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

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

Gauge satisfaction and receive information for improvement and success

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

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

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

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

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

Active reporting of data and metrics

Market research conducted via in-person interviews

Manage sample of audience for conducting market research surveys

Multiple channels (email, web link, or social media) to distribute products, services, or surveys to customers

Process of dividing customers into groups based on common characteristics

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

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

Manage and support multiple languages

Graphical representation of data

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

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

Ability of websites, web applications, or mobile applications to function without an active internet connection

Import and export data to and from software applications

Customize data fields to support various needs and use cases

Market research conducted via telephone

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

Timed notification for any upcoming task, deadline, appointment, or activity

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

Analyze and gain insights into data in real-time

Add customized logos and colors to align with company branding

Conduct and manage panel discussions for the purpose of market research

Pre-written repository of questions that can be reused within a course or for assessment or interviews

Market research conducted via paper

Compare key metrics for the business against prominent players in the industry

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

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

Create and administer polls and surveys

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

Define levels of authorization for access to specific files or systems

Allow multiple users with individual logins and varying permissions to use the same account, software, portal, or service

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

Apply statistical/mathematical models to sets of data

Reminders sent via email

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

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.