Predict

Know what your customers will do next — before the P&L reflects it.

A prioritized action list with a dollar value. Individual and segment behavioral scoring with probability, prediction window, and P&L at risk.

What Prediction Looks Like

Individuals or Customer Segments

Churn, Delinquency, LTV variation, and more.

Every customer scored for churn risk, sales propensity, delinquency risk, and LTV trajectory. The output is a prioritized action list — who to contact, when, why, and what to offer.

  • → Probability (how likely)
  • → Prediction window in days (how soon)
  • → Estimated P&L at risk (how much)
  • → Primary behavioral driver (why)
  • → Recommended action (what to do)
Churn Risk Score
Paula Stephen
Credit Card · Retail Banking · Tenure: 8 yrs
87
Score
Probability
87%
Prediction Window
12 days
P&L at Risk
$3,840
Primary Driver
Credit limit friction
Recommended Action
Call Paula. Offer pharmacy credit line. Reference declined pharmacy transactions.

The Human Story Behind the Prediction

Paula's Credit Card Story

Without the Feedback Data

Paula Stephen is 62. Her transactional data looks healthy: strong tenure, consistent spend, loyalty tier intact. By every metric the CRM carries, she's a stable customer.

✕Month 1: Transactional - Accepted offer
✕Month 2: Relational - Increased contact frequency
✕Month 3: Relational - Reduced Average spend
✕Month 4: Transactional - Inbound chat
✕Month 5: Transactional - Purchase declined
✕Month 6: Relational - Changed spend distribution
✕Month 7: Transactional - Rewards redemption
✕Month 8: Transactional - Auto-pay canceled
✕Month 9: Relational - Churn registered
CHURNED — Too late to act
With the Feedback Data

Across several months, the feedback lake captured signals the transactional data could not: pharmacy declines, credit frustration, competitor mention, churn consideration.

💬
Month 1 · Chat
Accepted Credit Card offer and said she would use it to pay for meds for her kids.
📧
Month 2 · E-mail
Requested Credit Limit Increase to use in Pharmacies.
📞
Month 3 · Call
It's 9:42PM at a pharmacy with her kid sick. Transaction declined.
🔻 Churn score reaches 87 — 17-day prediction
Recovery window activated
💬
Minutes later · Call + Text
Agent calls Paula and she gets a text with a new credit line offer.
RETAINED — Paula thanked the agent

Segment View

Leadership sees exposure. Operations sees action.

Both work from the same live intelligence.

SegmentCustomersAvg ScorePrediction HorizonTotal P&L at Risk
Critical847910–7 days$4.2M
High2,341748–21 days$8.7M
Medium5,8925222–45 days$11.3M
Low18,4202446–90 days$6.1M

ROI Evidence

$3–5

in incremental P&L impact for every $1 invested when prediction and Influence operate at scale.

Sources: McKinsey, BCG, NAB Australia, Pega, Medallia, Accenture Global Banking Consumer Study. Ranges are cross-industry benchmarks in Banking, Retail, and Telecom.

Get a demo built on your market.

We use real public feedback from your brand and competitors to deliver immediate value.

Book a Demo

"We asked them to repeat the demo four times in three days because it was so rich. Every session added something valuable. Honestly, we used to pay a lot to get this kind of material, and they brought it in the demo."

Andre Salcedo — CEO — Motiva Trilhos