Features
Top Performing Features
Revenue forecasts
Uses big data, AI, and machine learning to help predict revenue growth based on buyer activity.
Category average: 6.2
Audience segmentation
Enables breaking down site visitors into segments based on demographics, location, browsing preferences, or firmographic data.
Category average: 6.6
Conversion optimization
Enables users to track a visitors’ site journeys and identify pages with higher traffic or visitor drop-off rates.
Category average: 6.3
Contact information
Information about individual contacts is available and high quality.
Category average: 9.2
Sales Intelligence Data Standards
How well does the contact, company, and industry information provided by the SI tool meet the user’s needs? Is the availability and quality of data satisfactory?
Contact information
Information about individual contacts is available and high quality.
Category average: 9.2
Company information
Information about companies/accounts is available and high quality.
Category average: 9.9
Industry information
Information about industries and markets is available and high quality.
Category average: 9.9
Intent Data
Intent Data refers to buyer data collected on the internet based on browsing behavior. This data provides intent signals with insights into the buyer journey, helping to gauge user interest in a product or service. It is used to identify and prioritize accounts based on where they are in the buyer cycle, helping to drive pipeline and revenue growth.
Web Personalization
Multi-touch, cross-channel campaigns that are personalized to engage with individual customers.
Category average: 7.4
3rd party intent signals
Buyer intent updates based on top-funnel, 3rd party data collected from various sites. This level of data requires large data sets to be effective.
Category average: 9.3
Downstream intent signals
Buyer intent updates based on downstream data at an advanced stage of the buyer journey. This data is collected from a users’ own website or secondary sources such as review sites. It provides fewer but stronger intent signals than 3rd party sources.
Category average: 6.1
Account identification
Helps sales and marketing teams identify accounts showing intent to make a purchase.
Category average: 9.5
Buyer journey tracking
Scoring and modeling feature used to identify where buyers are in the buying cycle, helping to mitigate churn risk for current customers.
Category average: 9.6
Revenue forecasts
Uses big data, AI, and machine learning to help predict revenue growth based on buyer activity.
Category average: 6.2
Audience segmentation
Enables breaking down site visitors into segments based on demographics, location, browsing preferences, or firmographic data.
Category average: 6.6
Conversion optimization
Enables users to track a visitors’ site journeys and identify pages with higher traffic or visitor drop-off rates.
Category average: 6.3
Content Syndication
Re-publishing of free or licensed content from third-party sites.
Category average: 9.6