CXSphere Insights Engine transforms raw customer data into predictive intelligence — profiling, segmentation, sentiment, and next-best-offer recommendations that drive action.
CXSphere builds dynamic, AI-updated customer profiles from every voice call, chat, email, and ITSM ticket — creating a single source of truth that updates in real time.
Ingest signals from BPO interactions, AI Ops tickets, CRM, e-commerce, and support systems — all correlated into one customer identity graph.
No batch ETL delays. Customer profiles update within seconds of a new interaction — ensuring agents, AI, and marketing always see the latest state.
AI extracts structured insights from unstructured interactions — intent, emotion, product interest, churn risk — and surfaces them as queryable attributes.
GDPR-compliant PII masking, consent tracking, and data retention policies enforced at the profile level. Right-to-deletion workflows automated.
Static customer segments are dead. CXSphere re-evaluates segment membership in real time as behavior changes — ensuring marketing, support, and product teams always target the right audience.
ML automatically discovers high-signal customer segments based on behavior, usage patterns, and lifecycle stage — no manual rules required.
Segment by LTV, churn risk, product usage, sentiment trends, geography, engagement frequency, channel preference — or any custom attribute.
Customers move between segments as their behavior evolves. A single negative call can move someone from "Engaged" to "At Risk" instantly.
Export segments directly to marketing automation, CRM, and outbound campaign tools. API-first architecture for programmatic access.
CXSphere analyzes emotion, tone, and satisfaction signals across every voice, chat, and email interaction — flagging dissatisfaction before it becomes churn.
Voice tone analysis, chat sentiment scoring, and email mood classification — all processed in real time as interactions happen.
Track sentiment changes over time. A customer with declining sentiment scores over 30 days is flagged for proactive outreach.
AI correlates negative sentiment with churn signals — billing disputes, support escalations, product complaints — and predicts churn probability.
Aggregate sentiment by agent, product, channel, or time-of-day to surface systemic issues — not just individual complaints.
Based on ₹12L annual spend and international travel patterns. Includes lounge access, 5x rewards on dining, zero forex markup.
Recent web activity shows home renovation calculator usage. Pre-approved for ₹8L at 9.5% APR.
High savings account balance detected. Mutual fund SIP recommendations tailored to risk profile.
CXSphere's Next Best Offer engine analyzes customer behavior, product usage, and lifecycle stage to surface the right product recommendation at the right moment — driving 2.8× conversion lift.
Every recommendation considers: recent interactions, product usage, payment history, browsing behavior, life events, and competitive intelligence.
AI identifies "buy signals" — web activity, support queries, billing events — and triggers recommendations when customers are most receptive.
Every recommendation is A/B tested. The model learns which offers convert for which segments and continuously improves performance.
Recommendations surface in agent desktops, chatbots, email campaigns, and self-service portals — wherever the customer is.
Understand price sensitivity by segment. CXSphere's pricing analytics surface elasticity curves, willingness-to-pay estimates, and competitive positioning — helping you price for maximum revenue.
Visualize how price changes impact demand across customer segments. High-value customers are less price-sensitive; price-conscious segments show steep drop-off.
AI estimates max price each segment will accept before churning to competitors.
Current pricing vs. AI-recommended optimal pricing for maximum revenue per segment.
Track competitor pricing signals from customer conversations and market intelligence.
Native connectors for CRM, marketing automation, data warehouses, and BI tools. REST API for programmatic access.
Query customer profiles, segmentation membership, sentiment scores, and recommendations programmatically. Webhooks for real-time event streaming.
"The Next Best Offer engine increased our credit card conversion rate by 2.4× in the first 90 days. Recommendations are shockingly accurate — customers feel understood, not sold to."
"Real-time segmentation is a game changer. We can now target 'at-risk high-value' customers the moment they show dissatisfaction signals — our retention rate jumped 18%."
"Sentiment analysis flagged a product issue we didn't know existed. 400+ customers complained about the same feature in one week. We fixed it before it became a PR crisis."
Join enterprise teams using CXSphere Insights to profile, segment, and predict at scale. Book a demo to see your data light up.