CX MATURITY RESULTS
The state of your CX Maturity:
Understanding the variables:
Journey: How much of the customer journey is automated
Sophistication: How deep is that automation and what tech powers it
System Potential: API-readiness, usage of tools, and back-end capabilities
Journey score breakdown
Your result
Your digital customer journeys are in the early stages. Most interactions still depend on phone, branch, or unstructured email. Your peers have moved these moments online or on mobile, making the gap large, but so is the upside from implementation of even basic automation.
A few points of the customer journey are automated, but most of the customer lifecycle is still handled manually. Your score sits meaningfully below the finance benchmark of 30. The core use cases your peers have automated are a practical starting point for you to analyze.
Your journey score is close to the finance benchmark of 30. Several stages are automated, but mid-funnel retention, proactive service journeys, or post-transaction follow-ups likely have gaps. You’re on track with your peers – the next move is depth, not breadth.
You’re ahead of the finance benchmark. Most core journey stages are live, and one or two flows show real depth. The gap to close is in the areas where your peers are still catching up like with retention journeys, complaint orchestration, and proactive service moments.
You’re in the upper quartile for your industry. Most customer lifecycle moments are digitized, with consistent cross-journey coverage. The opportunity now is to deepen the flows you’ve already built by adding deeper personalization, mid-funnel orchestration, and richer escalation paths.
You’re in the top range of finance brands on journey maturity. Your lifecycle coverage is near-complete. The focus shifts from building to optimizing. Focus on improving personalization, refining handoffs, and layering AI into the journeys that already run well.
Your customer journey automation is limited, likely to easy-to-implement use cases. The rest of the customer lifecycle is largely unautomated. Your peers have moved well past this stage; the opportunity to close that gap starts with a few high-impact use cases.
Pre-purchase and purchase journeys are partly covered, but post-purchase is where the gaps are, returns, loyalty, re-engagement, and win-back are likely largely manual. These are the journeys that build long-term value and why your score sits below the retail benchmark of 32.
You’re close to the retail benchmark. Full-funnel coverage is mostly there, with gaps in more complex flows that most brands at this level are still building out. You’re on track with the industry, but the differentiation comes from deepening the use cases you already have.
Most journey stages are digitized. Critical use cases like loyalty and post-purchase re-engagement put you ahead of the majority of retail peers. The next level is in the consistency and depth of these flows – building richer escalation paths and more personalized triggers within each journey.
You’re in the top tier for retail journey maturity. The full customer lifecycle is automated. Additional gains come from personalization depth and cross-channel orchestration – connecting your journeys into a more unified experience rather than extending breadth further.
The customer journey coverage is very narrow, likely focusing on billing notifications and basic support deflection. Most of the subscriber lifecycles are unautomated. Your peers have moved well past this point; foundational automation across activation, billing, and support is the practical starting place.
Some basic use cases are live on mobile messaging, but the more complex use cases that have the biggest impact on CX are still manual. These are the journeys that extend subscriber lifetime value – and why your score sits below the telco benchmark of 32.
You’re close to the telco benchmark. Most operators focus on digitizing activation, billing, and support use cases in this stage. Retention and loyalty are where the gaps typically sit at this level, the same gaps most of your peers are still working through.
You have broader customer journey coverage than most telco peers. Use cases like retention journeys, upsell flows, and structured subscriber lifecycle communications are in focus. The next level is in the depth and personalization of these flows, particularly churn prevention and cross-sell sequences.
You’re in the upper quartile for telco. A fuller subscriber journey is automated, with mature churn-prevention and cross-sell flows likely running. The focus now is on optimizing what’s live, refining personalization, improving handoffs, and deepening the journeys that drive the most subscriber value.
You’re among the top scoring telco brands on journey maturity. Lifecycle coverage is near-complete. The next gains come from predictive personalization – using subscriber data to anticipate needs rather than just respond to them – and unifying experiences across channels.
The finance benchmark sits at 30.
Most brands have automated core transactional moments like verification, payment confirmations, basic notifications but deeper journeys like retention, complaint orchestration, and proactive service are still manual for the majority. The gap is less about investment and more about how far brands have pushed the use cases they already have.
The retail benchmark sits at 32.
Pre-purchase and purchase stages are well automated across most brands, but post-purchase is where coverage thins out. Loyalty flows, win-back sequences, and re-engagement journeys are what separate retailers at the benchmark from those pulling ahead.
The telco benchmark sits at 32.
Activation, billing, and basic support automation are standard across the sector. The benchmark gap shows up in retention and loyalty – churn prevention, upsell sequences, and subscriber win-back are where most operators are still building depth.
Sophistication score breakdown
Your result
Very few advanced features are active in your use cases. Your automations run likely focuses on the notification level, confirmations, basic alerts, without the deeper flows that drive real engagement. The natural next step is to examine how to improve your existing use cases to improve experiences.
Basic automation is in place but the regulated and high-value flows that define finance CX maturity are missing. KYC, ID verification, fraud alerts with resolution paths, these are where the benchmark gap is most visible.
Your sophistication sits around the finance benchmark of 21. You have a baseline in place and one or two deeper modules live. The brands ahead of you have pushed the same use cases further by adding resolution layers, contextual triggers, and channel handoffs within each journey.
Your feature depth is stronger than the typical finance brand. You likely have features like KYC, e-sign, or fraud management digitized beyond the basic level. The next moves are in the areas between your strongest flows, connecting them into more consistent, end-to-end experiences.
Rich feature coverage across multiple journey stages. Your CX setup shows real maturity with multiple regulated and engagement flows are automated in depth. The focus now is on consistency: applying the same depth to your remaining gaps and optimizing what’s already live.
You’re among the top finance brands on the sophistication scale. Most regulated and engagement flows are automated at depth. The next layer is more intelligent AI: using the strong module foundation you’ve built to introduce context-aware personalization and predictive triggers where they add the most value.
Very few advanced modules are active. Your automation is mostly outbound like basic notifications and promotional sends. The deeper modules that drive loyalty, personalization, and resolution like product recommendations, return flows, AI-assisted support are worth exploring.
You have basic features enabled for some use cases, but the features that convert and retain customers at scale are missing. Product recommendations, loyalty mechanics, and AI-assisted support are where the retail benchmark gap is widest.
Your sophistication is around the retail benchmark of 26. A few richer modules are live (these could include loyalty, recommendations, or return flows) but coverage is inconsistent across the funnel. The brands ahead of you have these running consistently across more journey stages.
The features enabled on your use cases are richer than most retailer, something like recommendations, a loyalty program, and dynamic reminders are likely in play on mobile. The opportunity is to connect these features more consistently and extend the same depth into the journey stages where gaps remain.
You have deep feature coverage across the customer journey. You’re likely running things like conversational commerce, AI-assisted recommendations, and integrated loyalty, which is a level of sophistication most retailers haven’t reached. The focus shifts to optimization and AI augmentation of what’s already working.
You’re among the top performers for retail sophistication. Your module stack is near-complete. The next moves are about experimentation, optimization, and using AI to make your existing modules smarter – not adding more building blocks.
Advanced features for use cases are largely absent. Automation is mostly outbound billing alerts with minimal resolution capability. The features that make telco CX valuable include eSIM flows, fraud alert management, and usage-based triggers that aren’t in focus yet.
Baseline support and billing modules are in place, but the deeper flows are missing. eSIM activation, fraud management, usage alerts, and upsell intelligence are why your score sits below the telco benchmark and where the biggest gains are available.
Your sophistication is around the telco benchmark of 27. A few richer modules like eSIM activation, usage-based alerts, or retention flows are live, but coverage is inconsistent. The brands ahead have these running reliably across more journey stages and subscriber segments.
You have clear sophistication depth. You likely have digital SIM/eSIM flows, upsell journeys, and personalized plan management in place. The gap to close is in applying the same depth consistently across the remaining use cases, particularly proactive subscriber management.
Rich, cross-journey module coverage. Digital self-service is strong, and proactive subscriber management is running. You’re ahead of most telco peers on sophistication. The opportunity is in optimization and AI layering, making the features and use cases you’ve already built smarter.
You’re one of the top telcos on the sophistication scale. AI-assisted care, predictive churn, advanced fraud management, and omnichannel continuity are in place. The focus is on sustaining this position with continuous optimization and extending AI capabilities as technology matures.
The finance benchmark sits at 21.
Regulatory requirements drive cautious technology adoption, so most brands run baseline feature coverage like alerts and confirmations without the richer resolution flows, in-chat account services, and AI-assisted interactions that top performers have built. Hybrid models that combine rule-based guardrails with AI-driven personalization are gaining ground, particularly in fraud detection and proactive support.
The retail benchmark sits at 26.
Retail is a technologically advanced industry with 66% of brands using hybrid AI and 62% have agentic AI in some form. But most deployments are narrow. The brands leading on sophistication layer different automation types across different use cases rather than applying one approach everywhere.
The telco benchmark sits at 27.
Telco has the most complex automation stack of the three sectors, with 68% running smart automation and 63% using agentic AI. But 68% data fragmentation means these investments operate at partial capacity – the data isn’t connected enough to power the personalization that advanced automation requires.
System potential score breakdown
Your result
Your infrastructure is the current constraint. A narrow channel mix and limited automation capability mean that improvements to journey depth or sophistication will stall without platform investment. Expanding API readiness and channel coverage unlocks everything else.
Your stack is functional but constrained. The channels and integration gaps you have limit what you can realistically deploy – not just now, but as use cases become more complex. Targeted platform investment here has the highest leverage on your other scores.
Your tech readiness is around the finance benchmark of 56. You can support most modern use cases, but scale and personalization require more connected data and automation capability. You’re in a position to build – the gap is in making your systems talk to each other more reliably.
Your stack is strong – a broader channel mix, better automation coverage, and stronger data integration than most finance peers. This gives you real room to push journey depth and module sophistication further without being held back by infrastructure.
Your platform is highly capable. The ceiling on what you can build is almost entirely strategic, not technical. The infrastructure is there to support ambitious journey builds and AI layering – the question is which use cases to prioritize first.
You’re running a top-tier platform. Your infrastructure already supports AI, conversational CX, and omnichannel at scale. The focus now is sustaining the lead – ensuring data quality, integration health, and system evolution keep pace with your CX ambitions.
Your stack can’t yet support modern retail CX. Limited channels, weak automation, and basic data integration create a ceiling on what you can build. Platform investment here has the highest leverage. It would enable everything else on your roadmap.
Your platform is functional but constrained. Layering sophisticated features on top of the current use cases is difficult because of integration gaps that slow down both implementation and personalization. Strengthening the foundation is the highest priority move you can make.
Your tech maturity is around the retail benchmark of 59. You can support most modern use cases with targeted investment. The gap most brands at this level face is data fragmentation – 55% of retail brands store customer data across disconnected platforms, which limits personalization.
You have strong foundations like a broad channel mix and solid automation coverage. You’re in a position to build ambitious journeys and roll out personalization at scale. The infrastructure won’t be the constraint; the focus is on what you build on top of what works well for you.
Your platform is a competitive advantage. Rapid rollout of new journeys and personalized experiences is realistic with your current stack. The question is strategy, not capability – which use cases to prioritize and how to get the most from the data you already have.
You have hit elite platform maturity for retail. You’re set up to run advanced CX at scale – unified data, broad channels, strong automation. The next frontier is data science, AI experimentation with predictions, and unified commerce – continuing to extend the lead your platform already gives you.
Legacy infrastructure is blocking modern CX. Limited digital channels and weak automation mean that journey and module improvements have a hard ceiling. Platform modernization, even incremental, unlocks progress everywhere else.
Your tech maturity is around the telco benchmark of 59. Most modern subscriber flows are supportable with targeted investment. The challenge most brands at this level face is data fragmentation – 68% of telco operators have fragmented data storage, which limits what real-time personalization can do.
Your tech maturity is around the telco benchmark of 59. Most modern subscriber flows are supportable with targeted investment. The challenge most brands at this level face is data fragmentation – 68% of telco operators have fragmented data storage, which limits what real-time personalization can do.
You have a solid foundation. Broad channel coverage and strong API and automation readiness. You’re ahead of most telco peers on infrastructure. This gives you the platform to push journey depth and module sophistication without being blocked by technical constraints.
Your platform is an enabler, not a constraint. Advanced subscriber intelligence, omnichannel rollout, and real-time personalization are all realistic with your current stack. The ceiling is strategic, not technical, so it’s about which journeys to prioritize and how to deploy your capabilities most effectively.
Top-tier platform maturity. You’re set up to run next-gen telco CX at scale – AI-assisted care, real-time personalization, and unified subscriber data. The focus is on sustaining this advantage and continuing to extend it as subscriber expectations and technology both evolve.
The finance benchmark sits at 56.
Finance stacks are built for compliance and data control, which creates a solid API foundation – 57% of finance brands are fully API ready. But legacy infrastructure often keeps systems siloed, limiting how effectively that foundation can power connected, real-time CX.
The retail benchmark sits at 59.
Most retail brands collect data across multiple touchpoints, but 55% store it across disconnected platforms. Brands with a unified data layer consistently outperform peers on personalization and AI readiness – the infrastructure is largely in place, but the integration work is what unlocks it.
The telco benchmark sits at 59.
API readiness is strong – 54% of telco brands are fully API ready and 33% partially ready. The constraint is data fragmentation: 68% of operators store subscriber data across disconnected systems, which limits what even a capable platform can deliver in practice.
What’s next?
Your results give a snapshot of your CX Maturity. Want a personalized evaluation and strategic advice to boost your score? Leave your contact info below to get started with a tailored solution – CX Maturity is just the first step in Infobip’s Navigator framework.
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