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Customer Analytics guides
How to analyze survey data Weighting, nonresponse, open-ends and testing differences across groups — the steps between a raw response file and a defensible finding. How to build a customer 360 Identity resolution, source coverage, and the CDP-vs-warehouse-native choice behind a genuinely unified customer record. How to calculate customer lifetime value Historical vs predictive LTV, the formulas behind both, how they relate to CAC payback, and where each approach breaks. How to choose a conversation and speech analytics tool Marketing call-attribution tools and contact-centre QA suites both analyze calls, but they answer different questions and rarely substitute for each other. How to choose a customer journey analytics tool The decision is whether you need to see the whole cross-channel journey, decide what happens next inside it, or just measure a single product's funnel. How to choose a customer success platform Customer success platforms turn usage, CRM and support data into a health score — the real choice is how that score is built and at what account volume. How to choose a customer support analytics tool Most support analytics is a reporting layer bundled into a helpdesk, not a standalone product — decide whether you need that, staffing analytics, or QA scoring. How to choose a survey and voice-of-customer tool Survey and VoC tools split into self-serve builders and enterprise XM suites; pick by distribution channel, text-analysis depth and who owns the program. How to run a cohort retention analysis How to build a retention cohort table in SQL, read the curve it produces, and avoid the comparisons that quietly mislead. How to segment customers RFM, behavioral and clustering-based segmentation compared, and what turns a segment from an analysis artifact into something teams actually use. Speech and audio analytics, explained How spoken words and audio streams become structured data — transcription, diarization and what contact-centre and podcast analytics actually measure.