Saleswings Features

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 that dynamically serve content, messaging, and calls-to-action.

Helps determine which accounts have the highest/lowest opportunity to convert.

Helps determine the direction of each individual account and how to engage through specific content.

Connects sales emails with cross-sell/upsell marketing campaigns across multiple channels.

Aligns lead scores with predefined lead distribution criteria

Matches and assigns leads to the correct sales representative

Determines which leads should be prioritized and then accelerates them up the pipeline

Integrates with lead capture and lead intelligence tools to discover leads

Creates and assigns scoring system to rank the viability of leads

Integrates with CRM or marketing automation tools to contextualize lead data

Reports on and analyzes lead scores to determine the conversion rate of lead opportunities

Aligns lead scores and strategy with existing sales operations

Syncs lead data within the sales database for consistency and accuracy

Provides analysis on lead scores, funnel insights, and both open and closed opportunities

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

Ability for the product to integrate with software to view and utilize contact and account buyer intent data (i.e. CRM software, marketing automation software, account- based marketing software, etc.)

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)

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.

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.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

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

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

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

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives