Reo.Dev Features

Provides detailed contact-level buyer intent data

Provides aggregated intent data for individual contacts to supply an account-level view of intent

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)

Product accurately cleans, deduplicates, and verifies lead data.

Product enriches existing lead data with missing information.

Product provides accurate, up-to-date contact information for leads, such as email address or phone number.

Prioritizes leads through lead scoring, market insights, account-level insights, etc.

Product offers a browser extension that validates or enriches lead information within the user’s browser.

Automates process of checking a potential customer's data to ensure it is real and accurate

Sources contact and company data from outside the buyer's own systems, whether from a proprietary database or aggregated third-party providers

Works across multiple software systems or databases

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

Uses AI for ranking prospects automatically based on historical data and behavioral patterns

Uses AI to identify buying signals such as website activity, content engagement, job changes, funding news, hiring trends, or technology usage

Uses AI to enhance existing data with information from external sources