Map, Measure, and Optimize Omnichannel Customer Journeys

Customer journeys are dynamic, spanning multiple touchpoints and channels.

Journey Analytics delivers full visibility across every step.

Our Journey Analytics Solutions Deliver
journey_map_538x238_rounded

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.

customer_behaviour_analytics_538x238_rounded

Track clicks, dwell, form errors, latency, and site search to pinpoint bottlenecks and prioritize fixes by impact.

Data driven models

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_538x238_r24

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 integration_538x238_rounded

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.

 

  • 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.