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Customer Experience
CX isn’t about having more channels—it’s about consistency, speed, and personalisation. This perspective connects service and digital journeys to measurable business outcomes.
Omnichannel
Contact centre + self-service modernisation
Journey/funnel
analytics to reduce friction
Customer data
Segmentation approach
Personalisation
Recommendation / loyalty optimisation
Measurement
Via experiments (A/B, holdout where applicable)
Measurable CX outcomes
Transform customer experience through data-driven optimisation across every touchpoint
Higher CSAT through faster, more consistent resolution
Lower AHT and higher agent productivity
Higher deflection through self- service → reduced cost-to-serve
Lower journey friction → fewer drop-offs and complaints
Higher conversion and LTV with personalisation and loyalty
Measurable governance with KPI cadence and experimentation
What you get
Comprehensive deliverables that transform customer experience strategy into measurable results
CX transformation deliverables
- Touchpoint inventory (web/app/call/chat/store)
- Intent discovery + self-service opportunity map
- Journey and funnel analytics dashboards
- Segmentation approach (behaviour/value)
- Personalisation backlog (high-impact experiments)
- Knowledge/content plan to support deflection
- KPI pack: CSAT, AHT, deflection, conversion, repeat, LTV
- Pilot → rollout plan + adoption checklist
- CSI backlog (continuous improvement and next journeys)
How it works
Structured approach from discovery through scaled personalisation
Discover together
Diagnose
Design
Self-service, routing, personalisation plan
Pilot
Scale
Expand intents, channels and personalisation use cases
CX service catalogue
Comprehensive services aligned to customer experience transformation
SRV-024
Omnichannel Contact Centre & Self-Service Modernisation
A transformation service that consolidates call centres and digital channels (voice, chat, email, etc.) under a single omnichannel experience, improving customer experience and reducing operational burden through intelligent routing, self-service scenarios, and agent support tools.
Discovery & Current State Assessment
CX Blueprint & Target Architecture
Solution Design
Implementation & Integration
SRV-025
Customer Data, Personalisation & Journey Analytics
A data-driven customer experience optimisation service that enables end-to-end customer journey analysis through consolidation of customer data from different touchpoints, segmentation, personalised content and offer presentation.
Discovery & Data Landscape Assessment
Customer Data Blueprint
Implementation & Integration
Segmentation & Personalisation Setup
SRV-026
E-Commerce Personalisation, Recommendation & Loyalty Optimisation
A service that aims to increase conversion rates and customer loyalty by utilising behavioural and transaction data from e-commerce and B2B2C channels to deliver personalised experiences, product and content recommendation engines, and loyalty programme analytics.
Discovery & Data Landscape Analysis
Personalisation & Recommendation Blueprint
Integration & Data Pipelines
Recommendation Engine Implementation
RELATED
Related CX services
Additional services that complement and enhance customer experience transformation initiatives
SRV-017: Enterprise Knowledge & Document Intelligence
SRV-016: Back-Office Workflow Automation
SRV-022: Revenue Forecasting & Dynamic Pricing Optimisation
SRV-023: Trade Promotion & Channel Performance Analytics
CX service progressions
Strategic pathways to expand and optimise customer experience capabilities
- Deflection engine
- Journey → personalisation
- Service → workflow automation
- Commercial linkage
CX resources & toolkits
Download templates and frameworks to accelerate your CX transformation
Intent discovery template
Deflection KPI starter kit
Journey analytics dashboard starter
Personalisation backlog template
Experimentation kit (A/B + holdout)
Complete CX playbook
Frequently asked questions
Common questions about customer experience transformation
Where should omnichannel modernization start?
Begin with intent discovery to understand what customers are trying to accomplish across channels. Prioritise high-volume, low-complexity intents that are good candidates for self-service deflection. Start with one or two channels (typically web + phone) before expanding to full omnichannel. This allows you to prove value quickly while building organizational capability.
How do you set deflection targets?
Deflection targets should be based on intent complexity and channel appropriateness. Simple informational queries can achieve 70-80% deflection, while complex transactions may only reach 30- 40%. Analyse current contact drivers, benchmark against industry standards, and set phased targets. Start conservatively (10-15% improvement) and increase targets as self-service capabilities mature.
What if we don't have a knowledge base?
Building a knowledge base is a foundational step for both agent assist and self-service. Start by documenting top 20-30 contact drivers with clear resolution steps. Mine existing ticket data, agent notes, and email templates for content. Use structured formats (decision trees, FAQs, how-to guides) and continuously refine based on usage analytics. Most organizations can build an MVP knowledge base in 4-6 weeks.
How do you measure personalisation impact?
Use A/B testing with control groups to measure incremental impact on key metrics (conversion, AOV, engagement). For broader personalisation programs, use holdout groups (5-10% of users) that never receive personalisation. Track both immediate metrics (click-through, conversion) and longer-term outcomes (repeat purchase, LTV). Statistical rigor is critical—ensure proper sample sizes and confidence intervals.
What if A/B testing isn't possible?
When A/B testing is constrained (small traffic, technical limitations), use before/after analysis with proper baseline periods. Control for seasonality and external factors. Use segment-level analysis to understand differential impact. For critical changes, consider time-based holdouts or geographic splits. While less rigorous than A/B tests, these approaches can still provide directional insights for decision- making.
Which KPIs define success?
Success metrics vary by initiative but typically include: CSAT/NPS (satisfaction), AHT & FCR (efficiency), deflection rate (self-service), conversion & AOV (commercial), repeat rate & LTV (loyalty). Establish baselines, set realistic targets, and track consistently. Balance operational metrics (cost, efficiency) with customer metrics (satisfaction, effort) to ensure sustainable improvements.
Make CX measurable—and growth-connected
In 15 minutes, we’ll define target KPIs and the first pilot scope.