Demand Generation – Predict who's likely to become an MQL.

#MQL #Demand Generation #Predictive Lead Scoring #Lead Prioritization

• Who is this for? Demand generation teams.

• What metric does this app help me optimize? Marketing Qualified Leads (MQLs).

About this use case:

Turning leads into Marketing Qualified Leads (I.e., MQLs) is one of the primary objectives of your Demand Generation team.

Typically qualified leads are ones that took certain actions such as product usage, and content consumption to signal that they are ready to buy.

Predictive analytics can help your demand generation team convert more inbound leads to MQLs by letting them leverage AI to better prioritize and plan their outreach activities.

Knowing which leads to target, and getting ideas on how to engage them, will give your demand generation team the advantage they need to convert more leads to MQLs.

About this predictive app:

This predictive app continuously monitors the user journeys of your marketing leads, detects MQLs, explains why, and routes them to SDRs, while routing non-qualified leads to one of your marketing automation nurturing campaigns.

Predictive lead scoring improves demand generation efficiencies by using AI to learn user engagement patterns and automatically adjust lead scores based on them:

• Monitors multiple data sources 24/7.
• Orders engagement events in chronological order.
• Scores leads based on a complete user journey.
• Recommends channels and personalized actions likely to convert.
• Routes leads to either SDRs or marketing nurturing campaigns.