A systematic approach to growth management through data:

Single customer profile from all sources

Zentavor Customer Analytics turns customer behavior data into actionable decisions: segmentation, personalization, communication optimization, and growth of key metrics. We unify data from all channels and embed AI models into real business processes so the impact is measurable—in revenue, LTV, and marketing efficiency

Micro-segmentation and customer missions

What you get

from consolidating sources and building data marts to behavior prediction models, personalization, and executive dashboards. All with CRM/ERP/DWH integration and data-quality control

Omnichannel personalization & Next Best Action

annual incremental revenue from personalization

+8–11%

micro-segments for precise targeting

80+

types of customer missions

12+

months payback for typical initiatives

3–6

Key benefits for customers:

Tell us your goals—we’ll propose the optimal engagement model and a delivery roadmap

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Solutions /

Customer Analytics

Single customer profile

data consolidation across all channels

Customer missions

visit context and purchase intent

Micro-segmentation

80+ segments for precise control

Omnichannel personalization

offers, content, and scenarios

Next Best Action

the best next step, channel, and timing

BI & Advanced Analytics

data marts, dashboards, self-service

Zentavor builds a customer analytics ecosystem that unifies data, models, and processes into a single managed loop—from understanding customer motivations to personalized actions across channels

We combine Data Engineering, BI, and ML models: a single customer profile, customer missions, micro-segmentation, churn and LTV prediction, Next Best Action, and impact measurement via an A/B approach

The solution adapts to your industry and data maturity: we start with a rapid pilot (MVP) and then scale to new domains and channels while maintaining governance, security, and data quality

What Customer Analytics includes

We unify data from online/offline channels, CRM, loyalty, and communications into a single customer profile and make behavior measurable

No holistic view of the customer

We build segments, missions, and personalized scenarios that increase conversion, purchase frequency, and average order value

Weak personalization and low conversion

We implement impact measurement: control groups, A/B tests, proper attribution, and KPI monitoring in BI

High marketing spend without transparent ROI

We build the data foundation (DWH/Lakehouse, ETL/ELT, data quality) so analytics and models run reliably

Data exists, but decisions don’t

Modular architecture enables phased implementation: fast impact in the first release and further scaling

Single customer
profile

Data collection and normalization from all sources, unified identity resolution, and data-quality controls

Missions & micro-segmentation

Classification of visit goals and identification of micro-segments for precise communication management

Next
Best Action

Recommendations for the next best action: offer, channel, timing, and frequency

BI and analytical data marts

Dashboards and data marts by domain: marketing, sales, loyalty, product, operations

Behavior
models

Forecasting churn, LTV, purchase frequency, and response to promotions/assortment changes

Impact
measurement

A/B tests, control groups, attribution, and monitoring of solution quality and effectiveness

Define goals and assess data

Diagnostics

Design architecture and roadmap

Design

Develop models and services

Build

Integrate and test

Test

Monitor and evolve the solution

Launch & support

We design data marts and dashboards to support decisions: the right granularity, consistent KPI definitions, and clear visualization

Data marts & interfaces

We monitor pipelines and BI performance, update models, improve data quality, and ensure continuous evolution

Maintenance & improvement

We create and validate dashboards, set up refresh schedules, automated reports, and alerts for anomalies and risks

Dashboards, reports & alerts

A predictable process from diagnostics to production operations

Banking & fintech

Automation and analytics

-45%

Reduce support and back-office workload through AI automation, precise segmentation, and KPI transparency
in BI

Retail & e-commerce

Personalization and growth

+8–15%

Increase revenue and average order value with missions, micro-segmentation, omnichannel personalization, and Next Best Action

Logistics

Operations optimization

3–6 months

Achieve fast impact with data consolidation, KPI monitoring, alerts, and a phased, governed rollout

Industries and teams that prioritize growth, loyalty, and transparent ROI

Note: impact depends on data maturity, number of channels, customer identity resolution quality, and chosen rollout scenarios

We collect data from all channels and create a single customer profile—the foundation for personalization and accurate analytics

A single view of the customer

We identify visit context and intent, define 80+ micro-segments, and manage communications more precisely than off-the-shelf solutions

Micro-segmentation & missions

Unified scenarios across channels: website, app, email, push, contact center, offline—considering frequency and relevance

Omnichannel personalization

Built-in impact measurement: control groups, A/B tests, and KPI monitoring in BI—so you manage outcomes, not gut feelings

Measurable ROI

Tell us what you want to improve—revenue growth, loyalty, marketing efficiency. We’ll propose
a target architecture, pilot scenarios, and an implementation plan with impact measurement

Email: info@zentavor.ai

Share your objectives—we’ll propose the solution and an execution plan

What we need to start

Key domains: sales, marketing, loyalty, product, operations

Data sources: CRM/ERP, loyalty, web/app analytics, ad platforms

Key KPI conflicts and bottlenecks in reporting/analytics

Refresh requirements (daily/hourly) and acceptable data latency

Access model and security: roles, departments, compliance