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Real-Time Closed-Loop Analytics

Close the loop.
Measure every outcome.

Funnels, cohorts, attribution, model performance, journey maps, A/B tests, revenue lift and channel performance — closed-loop, real-time, audited per decision.

100+
Pre-built reports
<1s
Refresh
10
Report families
See it in action Explore the Learn Layer
Analytics Console · 10 Families
LIVE
Funnels
Cohorts
Attribution
Model Perf
Real-time
A/B Tests
Journey
Revenue
+ Channel perf + Drift + Anomaly 100+ pre-built
Report families

Every kind of report your decisions need.

Operational dashboards, model performance, customer journey, financial lift — same source of truth, every outcome explained.

Operational
Decision performance Funnel analytics Cohort & retention Real-time dashboards Channel performance Anomaly detection
Insight & financial
Attribution (multi-touch) Model performance & drift Customer journey maps A/B & multi-armed bandit Revenue & lift Bring your own dashboard
Reports stack

10 report families. 100+ pre-built. Every outcome measured.

A real preview of what each report shows — the metric, the chart, the slice that matters.

01 — Decision Performance

Win rate, conversion, lift per decision

Decision win rate
32%
+12% MoM

Per-decision win rate, conversion and lift. Every decision tracked from fire to outcome — sliced by segment, channel, model, journey.

Win rate Lift Conversion Per-decision
02 — Funnel Analytics

Drop-offs and conversion paths

Conversion funnel
Sense
100%
Decide
78%
Act
54%
Win
32%

End-to-end funnels from Sense to Win — see where customers drop, where they convert, where the loop closes. Drill into segments, channels and models.

Funnels Drop-off Conversion Path
03 — Cohort & Retention

Retention curves over time

30-day retention · 4 cohorts
Day 0Day 30

Cohort heatmaps from day 0 to day N — how retention curves bend as decisioning fires, by acquisition month, segment or channel.

Cohorts Retention Heatmap Time-based
04 — Attribution

Multi-touch attribution that closes the loop

Channel attribution · multi-touch
WhatsApp
42%
Push
28%
Email
18%
SMS
12%

Multi-touch attribution that knows which channel actually moved the customer — last touch, first touch, position-based, data-driven. Per customer, per decision.

Multi-touch Per-customer Data-driven First / last
05 — Model Performance & Drift

AUC, calibration, drift over time

Propensity model · AUC
0.847
STABLE
30d agotoday

AUC, calibration, prediction drift, input drift and outcome alignment — for every model. Alerts fire before performance degrades production.

AUC Calibration Drift Alerts
06 — Real-Time Dashboards

Live tiles, sub-second refresh

Live · last 60s
Decisions
14.2k
Win rate
31.8%
Latency
12ms
Anomalies
3

Sub-second refresh dashboards built for control rooms — live decision count, win rate, latency, anomalies. Embeddable in your own BI tools.

Real-time Sub-second Embeddable Alerts
07 — A/B & Experiments

Multi-arm bandit, significance, lift

Experiment · NBA copy
Variant A
2.8%
Variant B · winner
4.1%
Lift +46.4% · p < 0.01 · n = 24,820

Run A/B, multivariate and contextual bandit experiments on every decision. Significance testing, lift, expected revenue impact — auto-promotes the winner.

A/B MVT Bandits Auto-promote
08 — Customer Journey Maps

Path analytics, sequences, touchpoints

Top customer journey
Salary credit
Push
App open
Loan signed
62% of converters · avg 4.2 min

End-to-end journey maps showing the actual paths customers take — signal sequence, channel touch order, decision-to-outcome timing.

Journey Path Sequence Touch order
09 — Revenue & Lift

Financial impact, ROI per decision

Revenue uplift · NBA on
+24%
YoY

Revenue, lift and ROI — per decision, per model, per channel, per journey. CFO-ready exports, attributed back to the decision that fired.

Revenue ROI Lift CFO-ready
10 — Channel Performance

Delivery, engagement, ROI by channel

Channel ROI · last 30d
Push
4.2x
WhatsApp
3.6x
RM alert
2.9x
SMS
1.8x

Delivery rate, engagement, click-through, conversion and cost — per channel, per BSP, per region. The data feed that helps you pick the right channel next time.

Delivery Engagement Per-channel BSP
Analytics principles

Closed-loop. Real time. Per decision.

Analytics in Appice isn’t a quarterly report — it’s a feedback loop, scored inside your perimeter, refreshed in seconds.

01

Closed loop by default

Every Sense signal, Decide score, Act outcome and Learn measurement linked end-to-end. The loop closes automatically — no nightly ETL stitching required.

02

Real-time refresh

Sub-second tile refresh, <5 minute model-performance and attribution refresh. The dashboard is the source of truth, not yesterday’s export.

03

Per decision, audited

Drill from a KPI tile to the individual decision, with reason codes, model version, consent state and channel path. Regulator-ready exports.

04

Bring your own BI

Same source of truth in your existing BI tool — Power BI, Tableau, Looker, Metabase — via live SQL on the data warehouse. No double bookkeeping.

Analytics onboarding

From first decision to closed loop in days.

Pre-built reports live on day one. Custom views and warehouse extracts follow the same pipeline.

01

Week 1 — KPIs & cuts

Pick the KPIs that matter, the slices you cut by (segment, region, channel, model) and the alerts you need.

02

Weeks 2–3 — Dashboards live

Pre-built reports configured to your KPIs. Warehouse sync up, BI tool connected, alerts firing.

03

Weeks 4–6 — Loop closed

Outcomes feeding back into Decide. A/B tests live. Models retraining on real outcome data.

In production

Live at IDBI Bank India — 100+ reports, every outcome measured.

Funnels, attribution, model drift and revenue lift — running inside the bank’s perimeter, refreshed in real time, audited per decision. Same analytics live at Tier-1 lenders across the GCC and South-East Asia.

Analytics tooling

Works with your BI stack — bring your own.

Appice ships 100+ pre-built reports and feeds the same data into your existing BI — one source of truth, every tool.

BI & visualisation

Power BI Tableau Looker Metabase Superset

Data warehouse

Snowflake BigQuery Databricks Redshift

Streaming

Kafka Kinesis Pub/Sub

Experimentation

Built-in A/B Multi-arm bandit Optimizely

Reverse ETL

Hightouch Census Custom SQL

Alerts & ops

Slack MS Teams PagerDuty Webhook
FAQ

Analytics questions.

Can we keep using our existing BI tool?

Yes. Appice writes the same data to your data warehouse (Snowflake, BigQuery, Databricks, Redshift). Connect Power BI, Tableau, Looker or your own tool directly — no double bookkeeping.

How does attribution work across multiple channels?

Per-customer touch ledger across every channel (push, WhatsApp, email, SMS, RM, branch, paid). Choose your attribution rule — last touch, first touch, position-based or data-driven (Shapley) — per report.

Can outcomes feed back into models automatically?

Yes — this is the closed loop. Every outcome (win, no-win, click, churn) writes back to the model registry. Drift monitoring fires alerts, A/B winners auto-promote, model retraining schedules trigger on volume.

Are reports regulator-ready?

Yes. Every KPI tile drills down to the individual decision, with reason codes, model version, consent state and channel path. Export packs are RBI, GDPR and DPDP audit-ready.

See your loop closed in 30 minutes.

Bring a KPI. We’ll show you the dashboard, the drill-down, the attribution, the A/B framework and the warehouse path — on your data, your perimeter, your regulators.

Book a Technical Demo