01
Unify
One view of the customer.
Segmentation, lifetime value, and loyalty resolved into a single, trusted customer picture.
Customer Experience Analytics
From data to
decisions.
AI-accelerated measurement for the questions behind pricing, promotion, loyalty, marketing, digital, and channel strategy. Customer Experience Analytics applies causal rigor where methodology matters and AI-powered speed everywhere else. Not another dashboard. A decision your leadership team can defend.
Four solutions. Customer 360: who your customers are and what they're worth (identity resolution, lifetime value, segmentation, loyalty). Marketing 360: what's actually working (attribution, audience development, offer effectiveness, journey mapping). Digital 360: where customers drop off and why (journey analysis, funnel optimization, experimentation, competitive intelligence). Advanced Customer Modeling: what happens next (predictive analytics, price and promotion sensitivity, propensity, next best action).
4
solutions
Causal rigor + AI speed
Decisions you can defend
What CXA does
Unify, understand, optimize, forecast. One measurement system.
Unify the customer. Understand the spend. Optimize the journey. Forecast the next move. CXA is how analytics becomes a defensible decision instead of another deck.
02
Understand
Attribution that holds up.
Multi-channel attribution, campaign performance, and ROI you can take to the CFO.
03
Optimize
Funnels that convert.
Journey analysis, funnel diagnostics, conversion lift, and disciplined experimentation.
04
Forecast
The next move, modeled.
Propensity, churn, and next-best-action, so the next campaign isn’t a coin flip.
The CXA Solutions
Four solutions.
One source of truth.
Customer 360 names the customer. Marketing 360 prices the spend. Digital 360 tunes the surface. Advanced Modeling looks ahead. Together, the cross-functional argument ends. Finance, marketing, analytics, and the boardroom share one number.
01 / 01
Practice 01
Customer 360
Enhance customer relationships.
Resolve identity, model value, and segment by behavior, so every team works from the same customer truth.
What it includes
- Unified customer profiles
Resolve identity across touchpoints into a single, addressable customer view.
- Lifetime value modeling
Predictive CLV with cohort analysis to size the relationship, not just the transaction.
- Behavioral segmentation
Cluster customers by recency, frequency, propensity, and engagement. Not gut feel.
- Loyalty analytics
Program KPIs, redemption lift, and member engagement made legible to the business.
- Key drivers analysis
Isolate the variables that actually move conversion and repeat purchase.
02 / 02
Practice 02
Marketing 360
Maximize campaign ROI.
Attribution and audience work that holds up to scrutiny. The ROI conversation, settled with evidence.
What it includes
- Campaign performance
Multi-channel effectiveness measured against a unified set of business KPIs.
- Attribution modeling
Quantify touchpoint contribution with multi-touch attribution that accounts for incrementality.
- Audience development
Lookalike modeling to expand high-value segments without diluting the base.
- Offer effectiveness
Promotion and loyalty offer ROI compared cleanly across channels and audiences.
- Journey mapping
Cross-channel paths from first impression to conversion, visualized for the executive room.
03 / 03
Practice 03
Digital 360
Optimize the digital experience.
Behavior, friction, and experimentation across the digital surface, tuned to lift the metrics finance cares about.
What it includes
- Journey analysis
Map user behavior across sessions, devices, and conversion paths to find the real friction.
- Funnel optimization
Real-time conversion metrics with the drop-off points called out, not buried.
- Experimentation
Disciplined A/B testing with the statistical rigor to actually trust the result.
- Experience segmentation
Segment users by engagement quality so the next experience is tuned to who they are.
- Competitive intelligence
Audit competitor digital experiences and feature positioning without the guesswork.
04 / 04
Practice 04
Advanced Customer Modeling
Predict and personalize at scale.
Forward-looking models that turn historical behavior into the next campaign, the next offer, the next conversation.
What it includes
- Behavioral segmentation
Fine-grained clustering on RFM, product affinity, and engagement signals.
- Predictive analytics
AI-assisted churn and lifetime value forecasting at the customer level.
- Price & promotion sensitivity
Elasticity modeling and segmentation by promotional response. Pricing decisions with evidence.
- Propensity modeling
Score customers for product and offer fit so spend chases lift, not noise.
- Next best action
Personalized recommendations for offers, content, and outreach grounded in causal signal.
Why Customer Experience Analytics
What you walk away with.
01
Causal Rigor, AI Speed
Defensible methodology. Compressed cycle time.
AI-assisted modeling does the heavy lift; human judgment owns the call. The methodology stays defensible while the time-to-answer collapses.
02
Decisions That Stick
Readouts built for the boardroom.
Executive briefings written for finance, marketing, and analytics in the same room. Not a 90-slide data-science deck nobody reads twice.
03
One Source Of Truth
The cross-functional argument ends.
Pricing, promotion, loyalty, channel: measured the same way once, so the next planning cycle starts with agreement, not litigation.
Frequently Asked Questions
Questions
About CXA
Fast answers below. The real conversation happens on a call.
Customer Experience Analytics is a service from Enlighten AI Labs that delivers AI-accelerated, causal measurement and predictive modeling for the questions behind pricing, promotion, loyalty, marketing, digital, and channel strategy. Four solutions: Customer 360, Marketing 360, Digital 360, and Advanced Customer Modeling.
The high-stakes ones. Pricing changes, promotional incrementality, loyalty program ROI, campaign attribution, churn diagnostics, segmentation strategy, channel investment mix. Decisions where finance, marketing, and analytics will all litigate the answer if the methodology cannot be defended.
A consultancy delivers a deck. CXA delivers an operating answer with the methodology defensible behind it. AI-accelerated where the work is mechanical. Human-led where the work is judgment. Output is a decision finance, marketing, and analytics can stand behind in the same room, not a 90-slide read-out nobody reads twice.
CXA is the practice. Aria is the product. Many engagements use Aria to operationalize the analyses CXA designs, so a one-time methodology becomes a continuously running capability inside the customer environment. CXA frames the question. Aria answers it at scale.
We embed in the analytics function on a multi-quarter engagement and run the high-stakes questions in series and in parallel: pricing, attribution, loyalty incrementality, channel cannibalization, campaign ROI, customer LTV, premium and segment dynamics. The same matched treatment-vs-control discipline runs across every question, so the answers compound into one defensible source of truth across the business. Each call is quantified, defensible in front of finance, marketing, and the board, and frequently inverts the original hypothesis.
CMOs, Chief Customer Officers, Heads of Loyalty, VPs of Pricing, VPs of Insights, and the Chief Data Officer or VP of Analytics they partner with on the underlying methodology. The leaders who own the growth number and have to defend the call.
AI compresses the mechanical work. Method selection, causal inference design, sensitivity testing, and final readout stay human-led. The output of every engagement carries the audit trail of the methodology used, not just the headline number.