NPS / review analytics
12M+ reviews per year, AI-segmented NPS drivers; −65% analyst time, +17% accuracy vs CSI baseline.
Solutions / Customer Analytics
Millions of signals, turned into action
Churn, NPS and review signals turned into segments and drivers your teams can act on, across millions of records
PySparkClickHouseVector DBNLPAirflowdbt
9:41
Customer signalssegments & drivers
In-perimeter
Retail & Telco · in production
Top NPS drivers
Delivery speed+0.938%
Support wait−1.421%
Pricing clarity+0.617%
Active segments
At-risk · high value42kchurn 0.71
Upsell-ready88kprop 0.64
12M reviews scored
refreshed hourly
12M+reviews per year
+17%accuracy vs baseline
−65%analyst time
What we do
From scattered signals to actionable segments
Every channel pours raw signals into one layer. NLP and segmentation models read them at scale, and what comes out is a short list of segments your teams can act on. Not another dashboard to decode
Signals in
Reviews & ratings12M+/yr
Support & NPSstream
Behaviour & ordersevent
Social / UGCmulti-lang
NLP + segmentation
tag · cluster · score
Segments out
At-risk · high value42k
Upsell-ready88k
Ranked NPS drivers+17%
To CRM / pushsynced
What we build
Analytics that teams can act on
Churn & propensity
Per-customer scores that route retention and upsell actions to the right teams.
Actionable segments
Segments piped straight into CRM, push and campaigns.
Social Insights / NLP
Trend and sentiment extraction across UGC channels.
The challenge
Data everywhere, insight nowhere
Manual analysis
Customer data fragmented across channels and systems.
Manual analysis can't keep up with millions of records.
Insights arrive too late to change the outcome.
Segments aren't actionable for marketing and product.
With Zentavor
A unified signal layer across every channel.
AI segments millions of records in minutes, cutting analyst time by 65%.
Real-time drivers delivered while the moment is live.
Segments piped straight into CRM, push and campaigns.
Proof
Results in production
E‑commerce & RetailAnalytics
+25%
conversion
Recommendation engine: 4× click‑through, +18% average order value.
In productionNDA
Gaming & SupportAI copilot
36.5%
tickets closed by AI
Support copilot resolves more than a third of incoming tickets end to end. Agents handle only what needs a human.
In productionNDA
NPS & ReviewsAnalytics
12M+
reviews scored / yr
AI‑segmented NPS drivers across channels and languages: +17% accuracy vs CSI baseline, −65% analyst time.
In productionNDA
Selected case studies available under NDA. Contact us for examples in your industry.
FAQ
Your frequently asked questions
What signals can you bring into the layer?
Reviews and ratings, NPS and support transcripts, behavioural and order events, and social/UGC, across channels and languages. We unify them into one signal layer rather than analysing each silo by hand.
How do you handle millions of records?
The pipeline runs on PySpark and ClickHouse with NLP and segmentation models, so segmenting millions of records takes minutes, cutting analyst time by about 65%.
How accurate is the NPS-driver analysis?
Ranked NPS drivers come out about 17% more accurate than a CSI baseline, because tagging is consistent across languages and channels instead of varying analyst to analyst.
Are the segments actually actionable?
Yes. Segments such as at-risk-high-value or upsell-ready are piped straight into your CRM, push and campaign tools, so marketing and product act on them directly, with no export-and-reconcile step.
How fresh are the insights?
Drivers and segments refresh on a schedule as short as hourly, so retention and upsell actions trigger while the moment is still relevant rather than weeks later.
Does our customer data leave our environment?
No. The stack deploys inside your perimeter, on-prem or private cloud, so customer data and review text never leave your environment.
Let's talk
Turn customer data into decisions
Share your customer data sources. We'll scope analytics and the segments your teams need