Understand your prospect’s POV
Score your marketing leads with models accounting for behavior, fit and classification.

Opportunity Assignment
Prioritize by conversion propensity
Advanced Segmentation

Opportunity assignment

Organizations have problems of abundance of leads, with difficulty in assignment leading to loss of revenue. Only 30% of top leads account for 90% of revenue in any organization and with predictive you have the power to identify the special 30% and assign them to your best performing sales / marketing track.

  • Predictive scoring for accounts and leads.
    • Fit modeling
    • Behavior modeling
    • Classification models
  • Opportunity identification and assignment
  • Intent for marketing/ sales
  • Account enrichment
  • Work flow
  • Opportunity timelines
  • Churn analysis
  • Account and marketing insights

“Predictions are dependable, and insights have worked for us for the most part. The scoring methodology allows us to customize accounts on bonds or scores is good.”

-Aditya Raj, Marketing Manager at Amazon

Prioritize by conversion propensity

Predictive

Leads regularly entering the funnel and CAC is being differentially applied based on predictive scoring

X leads entered
70% $ spent on top leads 30% of $ spent on the rest of the leads
$$$$ revenue was realized since the over conversion shot up due to focus on high quality leads.

Without Predictive

Leads regularly coming into the funnel and customer acquisition cost is being applied equally to each lead.

X leads entered
$ marketing budget spent
$$ revenue was realized

Advanced Segmentation

The problem with treating all inbound leads with equal priority

Less than 9% leads at TOFu qualify for a demo!

  • Lead to revenue ratios affecting unit economics.
  • Low SDR efficiency throwing budget out of hand
Result: No +ve movement

Name:John Doe

Title:CMO

Company:Outside of Target group

No. of Employees:1

Calls Made:8

Emails Sent:4

Score and enrich your inbound to only chase prospects who are likely to buy

Maroon’s predictive engine will score, enrich and prioritize your inbound with over 10,000+ business attributes about your prospects

Result- Missed Opportunity, due to no lead prioritization

Name:Rachael Swann

Title:Head of Sales

Company:Inside Target Group

No. of Employees:3,500

Calls Made:0

Emails Sent:1

Treating all leads as equal is robbing you of 27% revenue success?

  • No lead segmentation for personalized targeting.
  • All leads flowing through the same personalized marketing funnel.

Maroon helps enable predictive lead scoring by discovering prospect and external enrichment of about 10,000+ business attributes

Identify your account and lead personas

Maroon understands your context by analyzing customers and segments based on demographic, financial, business and behavioral data.

Name:Mark Shell

Title:CIO - Infra

Customer Fit

  • - Segment:Very High

  • - Reason:No. Employees 2000

  • Industry:Advertising

Score and enrich your inbound to only chase prospects who are likely to buy

Maroon’s predictive engine will score, enrich and prioritize your inbound with over 10,000+ business attributes about your prospects

Name:Anna Hathaway

Top priority lead

  • - Segment:Very High

  • - Maroon Score:92

  • - Model Validation:Actively searching for relevant articles, high skill availability

Score and enrich your inbound to only chase prospects who are likely to buy

Maroon’s predictive engine will score, enrich and prioritize your inbound with over 10,000+ business attributes about your prospects

Learn more about predictive lead scoring?