Product Led Growth – Predict who's likely to become an PQL.

#MQL #Product-Led Growth #Predictive Lead Scoring #Lead Prioritization

• Who is this for? Product Growth teams.
• What metric does this app help me optimize? Product Qualified Leads (PQLs).

About this use case:

Product-led growth (PLG) is a business methodology in which user acquisition, expansion, and retention are driven by the product itself.

In the context of Demand Generation teams, product adoption signals like # of logins, # of features used, and # of invites to team members can give us the indication that a user is highly engaged and call for a follow-up, like a sales offer, a sales development call, or an email with best practices.

The type of follow-up would depend on the user's journey and the unique combination of product adoption signals that the user generates.

Predictive analytics can help your Demand Generation team convert more freemium leads to PQLs by letting your team members leverage AI to gain a greater understanding of freemium users and better plan and prioritize outreach activities.

Knowing which leads to address first, and getting ideas on how to engage them, will give your Demand team the advantage they need to convert more freemium users to PQLs.

About this predictive app:

This predictive app continuously monitors the user journeys of freemium leads, detects PQLs, explains why, and routes them to AEs, while routing non-qualified leads to one of your automated nurturing campaigns.

Predictive lead scoring improves demand generation efficiencies by using AI to learn product adoption 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 AEs or automated nurturing campaigns.