Predictive Experience Intelligence [PXI]

You've already paid for millions in growth.
You just haven't collected it.

Numr PXI finds where your highest-value journeys stall, predicts why each customer stopped, and sends the message that moves them forward. Revenue impact measured to the dollar.

Watch the 2-minute demo

Built for financial services. The pilot runs on one weekly customer file, no integration needed.

See how it works
Numr PXI dashboard showing $3M total incremental revenue and the customer journey flow with drop-off branches
STUCK
Applicants
not verified
40.0% completing
Nudged 7,980 customers
Verified 46.2% completing
Control
40.0%
Nudged
46.2%

+6.2pp lift

$417,960

incremental revenue recovered

774 more customers moved forward

Trusted by teams at

SBI Securities Axis Bank SBI Card Axis Direct HDFC Mutual Fund Wealth360 One Tata AIA Max Life IndiaFirst Life die Mobiliar

The Problem

These aren't lost customers. They chose you. They started the journey. They are stuck right now.

You already paid to acquire every one of them. Every day they sit stuck, that money earns nothing. It's a friction tax on growth you already bought, and most banks only see it in the quarterly funnel review. 90 days too late to act.

Customer funnel narrowing from acquired to activated to active

Five stages. One continuous loop.

From signal to revenue in five steps.

A loop that learns. Every intervention makes PXI better at predicting why customers stall and what moves them.

01 · Signal

Every journey leaves a signal.

PXI reads the behavioral, transactional, and operational signals across the systems you already run, and detects the moment a high-intent journey stalls instead of moving forward.

PXI Salesforce Finacle Mobile app Transactions Support

02 · Pod

Customers who stall at the same point become a Pod.

When a journey stalls, PXI groups every customer caught at the same drop-off moment into one operational cohort. A bank with 92,000 unfunded accounts isn't 92,000 problems. It's a handful of Pods.

Application Activation Purchase POD 01 Not Verified REVENUE AT RISK $12M POD 02 Not Activated REVENUE AT RISK $28M POD 03 No First Purchase REVENUE AT RISK $47M

03 · Reason

One Pod, many reasons.

Customers in the same Pod don't stall for the same reason. PXI predicts the most likely reason for each one.

DIAGNOSING · WHY EACH CUSTOMER STALLS STALLED PREDICTED EXAMPLE WHY CUSTOMERS STALL ON KYC PXI MODEL learn from a few predict the rest POD 01 Not Verified Document Confusion Duration Uncertainty Privacy Concern Upload Issue Confirmation Gap

04 · Action

Then it learns what moves them.

PXI tests messages to find what actually moves a stuck customer forward, sent through your existing channels.

ACTIVATING · A MESSAGE PER CUSTOMER PAIN POINT MESSAGE MESSAGE THE PAIN POINT, TEST, PUBLISH WHAT WORKS PAIN POINT COMPOSE TEST PUBLISH FROM REASON Document Confusion STUCK COHORT COMPOSING PXI KNOWS SNIPPETS resume in one tap resume in one tap claim your reward claim your reward it's secure we'll help ASSEMBLED CUST #0481 Opened 4 days ago Stuck at ID upload Reward eligible Hi Alex, resume in one tap and claim your reward. control test WINNER email sms app push

05 · ROI

Proof is a customer who moves.

PXI watches each nudged customer actually reach the next step. Every one that moves is stuck revenue released, proven not projected.

ACTIVATING · A MESSAGE PER CUSTOMER PAIN POINT MESSAGE THE NUDGE FREES STUCK REVENUE, AND TEACHES THE NEXT ROUND THE NUDGE NOT VERIFIED · STUCK THE NEXT STAGE · MOVED $ Each move sharpens the messaging STUCK REVENUE RELEASED $192,600 proven by real movement
One loop. Running it by hand would take a team. That's why we built an agent.

Five stages. One continuous loop.

From signal to revenue in five steps.

A loop that learns. Every intervention makes PXI better at predicting why customers stall and what moves them.

01 / 05

Stage 01 · Signal

Every journey leaves a signal.

PXI reads the behavioral, transactional, and operational signals across the systems you already run, and detects the moment a high-intent journey stalls instead of moving forward.

LISTENING · REALTIME INTAKE STALL FLAGGED Application Activation Purchase

Stage 02 · Pod

Customers who stall at the same point become a Pod.

When a journey stalls, PXI groups every customer caught at the same drop-off moment into one operational cohort. A bank with 92,000 unfunded accounts isn't 92,000 problems. It's a handful of Pods.

Pod 01
Not Verified
Revenue at risk
$12M

Stage 03 · Reason

One Pod, many reasons.

Customers in the same Pod don't stall for the same reason. PXI predicts the most likely reason for each one, and sharpens that prediction with every result it sees.

Why customers stall on KYC

Document Confusion 31%
Duration Uncertainty 24%
Privacy Concern 18%
Upload Issue 15%
Confirmation Gap 12%

Stage 04 · Action

Then it learns what moves them.

PXI tests messages to find what actually moves a stuck customer forward, sent through your existing channels. Every experiment sharpens the next message.

Composing
email
PXI knows
Stuck at ID upload Reward eligible
Assembled
Hi Alex, resume in one tap and claim your reward.

Stage 05 · ROI

Always measured against a control group.

PXI tracks how nudged customers move and holds back a control group, so you see the exact revenue delta. The messages that move the needle get the most experimentation, so the system keeps doubling down on what works.

Expected vs observed lift

Expected +8.4%
Observed +13.1%

Stuck revenue released

$192,600

proven against a holdout control

Swipe or tap a number

One loop. Every intervention teaches PXI, so it gets sharper at predicting the stall and choosing the message.

Syna Drive. The Agent.

Everything you just read is one agent.

The stall it found. The group it built. The reason it predicted. The message it wrote. The results it watched. All of it was Syna Drive.

To do this with people, you would need a data scientist, a marketer, a growth lead, and an engineer to integrate it and run it in production. Then keep all four in step, restarting the cycle for every stalled group, every week. Teams like that lose to their own calendar. Syna Drive runs the full cycle overnight, and nothing it produces reaches a customer until you approve it.

That is the division of labor. The agent carries the work. You keep the judgment. Approve, and it ships. Hold it, and it waits.

Illustrative cycle
Last night: 5 pods scored, 11 reasons modeled, 12,406 messages composed, 3 launches held for your approval.
The approval screen
app.numr.ai/syna-drive
Syna Drive approval screen: pod health, discovery, modeling, experimentation and production status with approve and reject recommendation cards
Four steps, always running.
The agent cycles Discovery, Modeling, Experimentation, and Production nonstop.
It proposes. You approve.
New themes surface for your team to approve or reject.
It flags and pauses what's failing.
When lift drops, Syna Drive pauses the nudge and alerts you.
Every action logged. Every decision inspectable. Approvals audit-trailed.

Delivery Model

The platform comes with people.

PXI runs as a managed system. You don't need a data-science team to use it, because you already have ours.

Onsite when you want us

Integration, handled at your desk.

Our integration team works onsite with your IT group to connect PXI to your core and digital banking stack. Your systems, your pace, your security review. We come to you, and we leave when it's wired in.

Offsite, always on

The models are our job.

Our data-science team builds and calibrates the models, runs the randomized tests that prove the recovery is real, and keeps the whole loop tuned. You see the results. They do the math.

Have a modeling team of your own? Run PXI in-house. Don't have one? You'll never notice. Either way, you're covered.

Find your first stall point.

Every financial services firm has one. You already paid to acquire the customers stuck in it. A pilot shows you where it is, what it costs, and what it takes to collect.

30 minutes to know if there's a pilot worth running. One stall point, one weekly customer file, one measured revenue number in 90 days.