You have invested in a customer experience platform—or maybe several—and the data keeps piling up. Dashboards full of metrics, alerts about declining scores, monthly reports your team barely skims. But when leadership asks a pointed question—"Why are customers leaving?" or "Where should we invest next?"—nobody can give a confident answer.
The problem is rarely a lack of data. It is a lack of insight. A customer experience platform collects signals. Analytics turns those signals into decisions.
At Meraki Research, we build and operate customer experience analytics programs that connect the dots between what your customers are telling you and what your business should do about it. We work with your existing software platforms and data sources—not as a technology vendor, but as the research and analytics team that makes your technology investment pay off.
Our Approach: The CX Signal Framework™
Most customer experience platforms generate an overwhelming volume of data. Our CX Signal Framework™ cuts through the noise by focusing on the signals that actually predict business outcomes.
Phase 1: Platform & Data Audit
We start by inventorying your existing customer experience platforms, feedback tools, CRM systems, and operational data sources. We assess what data you are collecting, what you are missing, and where integration gaps exist. This is not a technology evaluation—it is a research readiness assessment.
Many organizations discover during this phase that they have more data than they realized, scattered across platforms that do not talk to each other. Others find that their primary feedback channel is capturing only a narrow slice of the customer base.
Phase 2: Metric Architecture Design
We design a measurement framework that connects customer experience metrics to business outcomes. This means identifying which leading indicators (effort scores, sentiment shifts, behavioral signals) predict which lagging indicators (retention, revenue, lifetime value).
We work closely with your Product Manager, Customer Support leaders, and IT leader stakeholders to ensure the framework aligns with how each team actually makes decisions. A metric that nobody acts on is a metric that does not matter.
Phase 3: Signal Integration & Analysis
This is where the real work happens. We pull structured and unstructured data from your customer experience platforms, apply advanced analytics—text analytics, driver analysis, predictive modelling—and identify the patterns that matter. We look for what is driving satisfaction, what is eroding loyalty, and where the biggest experience gaps exist.
We do not just run reports. We investigate. When a score drops, we dig into the qualitative feedback, segment the data, and isolate the root cause. When a segment outperforms, we figure out why and whether it can be replicated.
Phase 4: Insight Activation
Insight without action is trivia. Every analysis we produce includes specific recommendations tied to owners, timelines, and expected impact. We present findings in formats your team can act on—not 80-page decks, but concise briefs, interactive dashboards, and working sessions where we walk through the "so what" and "now what."
Phase 5: Continuous Monitoring & Optimization
CX analytics is not a one-time project. We establish ongoing monitoring cadences, build alert systems for early warning signals, and conduct quarterly deep-dives that keep your customer experience program sharp and responsive.
When CX Analytics Is Right for You
This Service Is a Strong Fit When:
- You have customer experience platforms deployed but are not getting actionable insight from them
- Your organisation collects feedback through multiple channels but cannot connect the data into a unified view
- Leadership wants to tie CX metrics to financial outcomes and you need a rigorous analytical approach
- Your Customer Support, product, and marketing teams each have their own view of the customer and nobody agrees
- You need a dedicated analytics capability but are not ready to hire a full internal team
This May Not Be the Right Fit When:
- You have not yet selected or implemented a customer experience platform (we can advise, but we are not system integrators)
- You need a real-time operational dashboard built by agents or engineers—our focus is research-grade analytics, not software development
- Your primary need is a technology selection guide rather than analytics services
If your challenge is more about designing the listening program itself, our VoC Program Design service may be a better starting point.
What We Deliver
Our analytics engagements produce outputs designed to drive decisions at every level of your organisation.
- CX Measurement Framework — A documented architecture linking experience metrics to business KPIs, customised to your platform ecosystem and organizational structure
- Driver Analysis Reports — Statistical analysis identifying which experience factors have the greatest impact on satisfaction, loyalty, and revenue
- Segment Intelligence Profiles — Behavioral and attitudinal profiles of key customer segments, showing how different groups experience your brand differently
- Predictive Risk Models — Early warning indicators for churn, complaint escalation, and satisfaction decline, integrated into your existing software platforms where possible
- Quarterly Business Reviews — Executive-ready presentations with trend analysis, root cause deep-dives, and prioritized action plans
- Interactive Analytics Dashboards — Self-service views that let your team explore the data between formal reporting cycles
All deliverables are designed to complement—not replace—your existing customer experience platform investment.
Industry Applications
Financial Services
Banks and insurers typically run multiple customer experience platforms across branches, digital, and contact centres. We unify those data streams to surface enterprise-wide patterns and branch-level action items.
Retail & E-Commerce
With customers interacting across stores, websites, apps, and marketplaces, retail CX data is fragmented by design. Our analytics identify which touchpoints drive the most value and where the experience breaks down.
Healthcare
Patient experience data from surveys, portals, and call centres must be analysed with regulatory context in mind. We help health systems turn HCAHPS scores and real-time feedback into operational improvements.
Technology & SaaS
Product-led growth depends on experience analytics. We help technology companies connect in-product behaviour data with survey feedback and support interactions to give Product Manager and CX teams a complete picture.
Telecommunications
High-volume Customer Support environments generate massive feedback datasets. We apply text analytics and predictive modelling to identify systemic issues before they become retention crises.
Hospitality
Guest feedback arrives through surveys, reviews, social media, and loyalty programs. We consolidate these signals into a single analytical framework that drives property-level and brand-level improvements.