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Customer Journey
Analytics
Analytics
Customer journeys are dynamic, spanning multiple touchpoints and channels.
Journey Analytics delivers full visibility across every step.
- Omnichannel Journey Maps
- Behavior Analytics & Friction Finding
- Attribution That Reflects Reality
- Predictive Insights to Retain & Grow
- Native Adobe CJA Implementation
Stitch web, app, email, CRM, and support into time-ordered paths. Unify identities across devices, mark key moments, and surface where journeys branch or stall.
Track clicks, dwell, form errors, latency, and site search to pinpoint bottlenecks and prioritize fixes by impact.
Compare rule-based (first/last/linear) and data-driven models, include offline conversions, and tie spend to qualified leads, revenue, and LTV—so you fund what actually moves the needle.
Use unified profiles to score churn risk, affinity, and conversion time. Feed scores into next-best action and trigger plays (offers, content, outreach) before users drift.
Model your schema/XDM, connect sources, define VRS and stitch rules, set calculated metrics, and publish decision-ready dashboards—governed with roles, naming standards, and guardrails.
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Omnichannel Journey Maps
Stitch web, app, email, CRM, and support into time-ordered paths. Unify identities across devices, mark key moments, and surface where journeys branch or stall.
-
Behavior Analytics & Friction Finding
Track clicks, dwell, form errors, latency, and site search to pinpoint bottlenecks and prioritize fixes by impact.
-
Attribution That Reflects Reality
Compare rule-based (first/last/linear) and data-driven models, include offline conversions, and tie spend to qualified leads, revenue, and LTV—so you fund what actually moves the needle.
-
Predictive Insights to Retain & Grow
Use unified profiles to score churn risk, affinity, and conversion time. Feed scores into next-best action and trigger plays (offers, content, outreach) before users drift.
-
Native Adobe CJA Implementation
Model your schema/XDM, connect sources, define VRS and stitch rules, set calculated metrics, and publish decision-ready dashboards—governed with roles, naming standards, and guardrails.
Strategy and Implementation
Unlock your CX platform's full potential
Program Management
Create project roadmap, define milestones, and outline deliverables for a smooth rollout.
Integration
Martech / CRMs / ERPs / Payment gateways like Adobe, Hubspot, SalesForce, Lead Squared, SAP, Oracle , Paypal and other bespoke apps
Platform Assessment
Assess current platform and advise on viability, rationale & fitment
Solution Architecture
Design the overall technical architecture for platform, considering scalability, performance, security, and integration requirements
Visualize & optimize every customer journey
YOU MAY NEED TO KNOW
Frequently Asked Questions
What is Customer Journey Analytics?
Customer Journey Analytics provides comprehensive visibility into the dynamic paths customers take across various touchpoints and channels. It helps businesses understand, measure, and optimize these journeys to improve customer experience.
What are the key capabilities of Journey Analytics Solutions?
Key capabilities include omnichannel journey mapping across various platforms (web, mobile, email, CRM, support), behavioral analytics to identify pain points and drop-offs, attribution modeling to measure business impact, and predictive analytics to prevent churn and enhance engagement.
How does Journey Analytics help with CX optimization?
Journey Analytics contributes to CX optimization by providing a clear understanding of customer behaviors and interactions. By mapping journeys and identifying friction points, businesses can make data-driven decisions to improve customer experience and remove obstacles.
What types of channels and touchpoints can be analyzed?
Journey Analytics can map and analyze customer journeys across a wide range of channels and touchpoints, including web interactions, mobile app usage, email campaigns, CRM data, and customer support interactions.
How do behavioral analytics contribute to understanding customer journeys?
Behavioral analytics is crucial for uncovering specific friction points and areas where customers drop off during their journey. By analyzing user behavior, businesses can pinpoint issues that negatively impact the customer experience and lead to disengagement.
Can Journey Analytics help predict customer behavior?
Yes, Journey Analytics utilizes predictive analytics to anticipate future customer behavior. This capability helps businesses proactively prevent customer churn and optimize engagement strategies by identifying at-risk customers and tailoring interventions.
What is Adobe CJA and its relevance to Journey Analytics?
Adobe Customer Journey Analytics (CJA) is a specific technology platform that can be natively implemented as part of Journey Analytics solutions. It provides tools and capabilities to effectively visualize and optimize customer journeys within the Adobe ecosystem.