Lead Forensics Features

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.

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

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

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

Provides detailed contact-level buyer intent data

Ability to connect offline databases to collect information that can be matched to online devices

Receive data and information in real time

Data results that indicate future customer interest in products

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

Provides the ability to customize the relevant topics that are tracked

Provides natural language processing (NLP) to identify topics within content (i.e. number of people researching a topic from a business)

Provides buyer intent alerts that can be delivered in a variety of formats (i.e. email, text message, etc.)

Ability to provide a dashboard showcasing intent that streams in real-time (as opposed to bulk deliveries)

Does this product offer the technographic data that you require? Technographic data includes identifying a company's technology, hardware, and software used

Is this technographic data accurate and up to date?

Works across multiple software systems or databases

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

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Predefined actions automatically performed on the occurance of specific events

Manage the process of attracting and converting business prospects into leads

Real-time alerts or notifications that inform teams about new leads or prospects

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

Automatically identify and save contact information of potential customers

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

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

Visualize and analyze customer experience across all touchpoints and channels

Active reporting of data and metrics

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

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

Process of dividing customers into groups based on common characteristics

Supports common databases such as MySQL and Oracle

Arrange tasks based on the level of priority or urgency

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Alter the layout and content of reports

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

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

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

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

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

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

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

Publish and distribute content to targeted audiences

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

Manage the process of attracting and converting business prospects into leads

Receive system updates as soon as any changes are made

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

Collect and analyze traffic data about website visitors

Import and export data to and from software applications

A report showing what actions customers perform

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

Evaluating strengths and weaknesses of companies with the same target audience

Predict future data based on historical data sets

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

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

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

A system that allows access to a database structure without relying on an external program

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

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

Manage, organize, and store contact information

Analyze and gain insights into data in real-time

Graphical representation of data

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

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

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

Record customer information, purchase history, and other notes

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

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

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

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

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

Gauge satisfaction and receive information for improvement and success

Import and export data to and from software applications

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

Active reporting of data and metrics

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

Receive data and information in real time

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

Capture what is happening on a computer screen

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

Track visitors and purpose of visits

Process of dividing customers into groups based on common characteristics

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

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

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

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

An extended application or connector that enables users to perform additional services with their current set of tools

System alerts about the need to escalate an issue or request

Analyze and gain insights into data in real-time

A visual display that uses a color spectrum to show how visitors interact with areas of a web page

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

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

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

Log and store the source of contacts/leads

Active monitoring of systems, applications, or networks

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

Graphical representation of data

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

Track and monitor a specific set of keywords

Alter the layout and content of reports

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

Graphical representation of data or processes

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

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

Define levels of authorization for access to specific files or systems

Track the amount of time users spend on websites

Collect and analyze traffic data about website visitors

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

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

Creation and customization of dashboards

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

Track and interpret campaign performance metrics

Add customized logos and colors to align with company branding

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

Monitor user activity through engagement methods

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

Visualize and analyze customer experience across all touchpoints and channels

Establish measurable goals and objectives and track their progress over a specific period of time

Track and analyze information regarding website visitors