SOLUTIONS

Scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured.

SOLUTIONS

Outcome-Based Scores Improve Revenue Outcomes

Scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured.

Big Deal Finder

Reef analyzes your best customer expansions over the recent past to identify common traits among customers who expanded. Based on these learnings, Reef isolates current customers who share these traits and are likely to produce more growth pipeline that converts at a higher rate and closes at a higher rate for a higher sales price. Reef feeds targeted leads to the Field and delivers ABM targets to Marketing. 

TARGET REVENUE OUTCOME

Generate incremental pipeline and revenue for accounts with the highest propensity for large deal expansions

CUSTOMER TARGETS

All customers (all annual contract clients)

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Marketing

TARGET REVENUE OUTCOME

Generate incremental pipeline and revenue for accounts with the highest propensity for product cross-sell expansion

CUSTOMER TARGETS

All customers (all annual contract clients) without a specific product (or products)

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Marketing

Cross-sell Targeting

The Cross-sell Targeting model enables you to find the best customers to target for successful product cross-sells. Many organizations want more cross-sell but struggle. They provide enablement materials to their Field and leave it up to reps to figure out which customers to pitch to and when. The product cross-sell model isolates the customers statistically most likely to purchase the new product by analyzing previous cross-sells and identifying targets that are likely to create more pipeline plus convert and close at a higher rate.

TARGET REVENUE OUTCOME

Protect renewal revenue for accounts with the highest probability for churn over the next 6 months

CUSTOMER TARGETS

All customers (all annual contract clients)

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Support

Customer Churn Predictor

The Customer Churn Prediction model analyzes customer history, usage patterns, support and marketing engagement, to identify not only which customers are at risk for churn, but specifically when (at least 6-9 months in advance of renewal.)

TARGET REVENUE OUTCOME

Protect renewal revenue for accounts with the highest probability to downgrade a purchased product

CUSTOMER TARGETS

All customers with a specific product

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Support

Downsell Targeting

Some companies don’t have a full churn problem, but struggle with partial churn or downgrades of specific products. Reef optimizes models that consider the nuance of downgrades and revenue contraction to predict these downgrades and alert the right team member 6-9 months in advance of renewal, while there’s still time to change the outcome.

TARGET REVENUE OUTCOME

Protect renewal revenue for accounts with the highest probability to switch to a competitor

CUSTOMER TARGETS

All customers with a specific product

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Support, Marketing

Competitive Churn Blocker

Competitive losses can be debilitating for a business and can drain revenue and morale. Reef’s Competitive Churn Blocker model analyzes previous competitive losses to identify current customers that are most likely churn to a competitor. Reef alerts your team when it identifies customers at-risk for competitive threats so your team can engage proactively.

TARGET REVENUE OUTCOME

Generate incremental pipeline and revenue for accounts with the highest propensity to purchase the next tier of product or service

CUSTOMER TARGETS

All customers within a specific tier

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Support, Marketing

Tier Upgrade

For many companies, significant revenue growth comes from moving customers up tiers of product and service offerings. Reef’s Tier Upgrade model analyzes customers to identify which customers are statistically most likely to upgrade their tier if they are engaged proactively with the right message.

TARGET REVENUE OUTCOME

Generate accelerated ARR growth by predicting over-consumption and actioning it early; prevent churn risk from under-consumption

CUSTOMER TARGETS

All customers with a specific consumption product or services

SAMPLE MODEL INPUTS

Account, Opportunity/Contract, Product, Consumption, Support, Marketing

Consumption Forecast

For companies with consumption-based pricing, accurate consumption tracking and predictive forecasting are critical for their business. Some companies have the instrumentation to auto-charge customers as they exceed their contracted capacity, but many companies rely on reporting to identify consumption and try to determine which customers will over or under-consume by their renewal date. The Reef Consumption Forecast model tracks consumption, provides a consumption forecast at renewal expiration, and calculates the revenue impact of over and under-consumption.