6sense provides robust techniques to help you prioritize your marketing and sales outreach. Two such capabilities are the Temperature and Predictive scores. This page discusses the similarities and differences between the two, and suggests use cases for each.
Differences between Predictive Intent and Temperature
Temperature is a signal that looks at both web engagement on your sites (provided by our WebTag) and business-to-business network activity and momentum. Refer to Temperature Model.
Predictive Analytics, available as an add-on to Revenue Marketing or Sales Intelligence, provides an intent score. Refer to Predictive Analytics and Intent Model.
Temperature can be used alone, however using it with Predictive adds an intent score to the analysis.
The following sections provide more information, suggested use cases, and links to more detailed descriptions.
Predictive use cases
Predictive creates AI models based on ingested data and analyzes the data according to important factors. Signals created by Revenue Marketing users can apply this to prioritizing and targeting outreach campaigns.
For details see Predictive Models.
Audience Workflow use case for Predictive buying stages
Use Audience Workflows to split segment accounts by Predictive buying stage, and automate more targeted outreach across dynamic audiences.
For example, some accounts may receive display ads while more promising accounts may be added to Salesloft Cadence for more direct engagement.
Refer to Audience Workflows Overview.
Temperature use cases
Temperature creates a scoring system that indicates whether an account is Hot (Newly Hot), Hot, Warm, or Cold. Sales Intelligence users can use this analysis to prioritize accounts for outreach.
Temperature is even more powerful if it is combined with the Predictive add-on. Predictive adds CRM and MAP data to the temperature analysis.
For details about how 6sense determines temperature, refer to Temperature Model.