Every campaign signal. One decision-ready intelligence layer.
A real-time system that converts campaign activity into decision-ready insights. Drop-off tracking, repeat behaviour analysis, fraud detection, and performance benchmarking — all running continuously across every campaign touchpoint.
- Drop-off tracking
- Repeat behaviour analysis
- Fraud detection
- Performance benchmarking
- Real-time signals
Proven in Production
- Campaign data layer
- Decision depth analysis
- Geo-performance maps
- Minute detection
↑2.1×
ROI improvement with intelligence-driven optimisation
Real-time
Signal processing across all campaign touchpoints
↓40%
Average funnel drop-off reduction after first optimisation
How It Works
Continuous intelligence. Mid-campaign signals. Decisions made in hours, not weeks.
Every consumer action generates a signal. The AI Intelligence Layer aggregates all signals in real-time, surfaces what matters, and tells campaign managers exactly where to act.
Signals ingested
All campaign touchpoints stream data — entries, drop-offs, completions, fraud flags
Behaviour analysed
Repeat patterns, funnel progression, and engagement depth analysed continuously
Anomalies flagged
Drop-off spikes, fraud patterns, and performance outliers surfaced in real-time
Insights generated
Plain language insight cards written by AI — no analysis needed to interpret
Optimisation triggered
Automated actions or manual recommendations pushed to campaign team instantly
Key Performance Indicators
What success looks like
KPI
Funnel improvement
Target: 40%+ drop-off reduction within 2 weeks of go-live
KPI
Retention uplift
Target: 25%+ increase in repeat participation
KPI
ROI improvement
Target: 2× ROI within 3 campaign cycles
Implementation
Live in 5 days — monitoring every campaign signal automatically
No data team needed. The intelligence layer monitors, interprets, and delivers insights in plain language your whole team can act on.
Day 1–2
Data connect
All campaign touchpoints connected — entries, redemptions, game sessions, bot interactions piped to intelligence layer
Day 2–3
Configure
KPIs, funnel stages, anomaly thresholds, and benchmark targets configured per campaign
Day 3–4
Test signals
Historical or sandbox data run through intelligence layer to validate signal quality and alert accuracy
Day 4–5
Go live
Real-time dashboard active. Daily insight digest scheduled. Anomaly alerts to Slack/email/WhatsApp
Note: Works across all Octech campaign products automatically. Also connects to third-party campaign platforms via standard API or data export.
Use Cases
Built for every vertical
FMCG
Mid-campaign funnel rescue
AI detects 60% drop-off at code entry on day 3. Root cause: code field UX issue on Android. Campaign team notified, fix deployed, drop-off recovers to 22% by day 5.
F&B
Repeat behaviour amplification
AI identifies 15% of consumers who have entered 3+ times. Flags as super-participators. Campaign manager triggers double-points offer to this cohort — 89% re-enter.
Personal Care
Regional performance gap
AI detects South India underperforming vs. North by 38%. Flags language barrier in WhatsApp bot. Tamil-language variant deployed — gap closes within 72 hours.
Fintech
Fraud pattern early warning
AI detects velocity anomaly — 400 entries from same network cluster in 6 hours. Fraud shield activated before any rewards issued. ₹2.3L in fraudulent claims prevented.