# Refyner

> Refyner is a data tool for eCommerce and subscription brands that lets analysts prep, build and schedule dataflows on their own Snowflake – with the models they run on (LTV, RFM, repurchase, MRR, churn, retention) built in. Made by analysts, for analysts. Refyner is a CXDATA product.

## What Refyner is
- A self-serve data prep and scheduling tool that runs as pushdown on your own Snowflake.
- Ships with pre-built eCommerce and subscription **models** – each model is a set of dataflows that produces an output for a business subject area.
- Lets analysts ship production dataflows themselves, with no engineering ticket and no second orchestration tool.

## Glossary (canonical terms)
- **Prep**: clean and prepare dataflows.
- **Dataflow**: a set of components to build SQL transformations.
- **Schedule**: orchestrate the dependency between transformations and refresh times.
- **Model**: a set of dataflows that produces a data output for analysing a particular business subject area (e.g. Customer LTV, MRR movement, Churn & cohorts).

## Who it is for
- Heads of Data and analysts at eCommerce and subscription (DTC) brands already on Snowflake who want to self-serve everyday data prep and scheduling without waiting on data engineering.

## Pricing
- Refyner Cloud: from $99/month for 5 users.
- Data prep, dataflow building and data sampling are free.
- Scheduled dataflows running on Snowflake are charged at $3 per compute hour (pay as you go).
- Refyner Self-Hosted: deploys inside your own cloud/VPC for data-residency and compliance needs (custom pricing).
- Optional Support SLA add-on with guaranteed response times.

## Pre-built models
- Customer LTV – lifetime value by acquisition cohort, channel and product (eCommerce).
- Blended CAC – revenue after ad spend and blended CAC across Meta, Google and Amazon (eCommerce).
- Retention & repurchase – time-to-second-order and repeat-purchase curves by cohort (eCommerce).
- RFM segmentation – recency, frequency and monetary scoring (eCommerce).
- MRR movement – new, expansion, contraction and churned revenue (subscription).
- Churn & cohorts – subscriber churn and retention curves by signup cohort (subscription).

## How it compares
- vs Alteryx: models built in, analyst-run, prep + schedule in one place, ~50% cost.
- vs Power BI Dataflow: warehouse-native on Snowflake, real orchestration (not just refresh), BI-tool agnostic.
- vs dbt / Airflow: analyst self-serve instead of engineer-run, one tool instead of two, supported.
- vs Tableau Prep: warehouse-native and BI-tool agnostic, scheduling built in.

## Guides
- [Guides index](https://refyner.com/guides.html): practical guides for eCommerce and subscription analysts on Snowflake.
- [What is data prep for Snowflake](https://refyner.com/guide-snowflake-data-prep-ecommerce.html): what prep means on a warehouse, the five prep jobs every eCommerce team repeats, and why teams get stuck.
- [Blended CAC vs channel CAC](https://refyner.com/guide-blended-vs-channel-cac.html): definitions, formulas, and Snowflake SQL to build both.
- [LTV:CAC by cohort in Snowflake](https://refyner.com/guide-ltv-cac-by-cohort-snowflake.html): cohort assignment, cumulative revenue, cohort CAC and the ratio, step by step.
- [Scheduling Snowflake dataflows](https://refyner.com/guide-scheduling-snowflake-dataflows.html): what a schedule needs beyond cron, and patterns that work without an engineering team.
- [Repurchase rate and cohort retention](https://refyner.com/guide-repurchase-rate-cohort-retention.html): windows, cohort curves and the right-censoring trap.
- [Shopify + Meta + Google Ads in one Snowflake model](https://refyner.com/guide-shopify-meta-google-snowflake-model.html): prep each source, join on a date-channel spine, schedule it daily.

## Markdown for agents
- Every page has a markdown twin at its URL plus `.md` – e.g. https://refyner.com/index.html.md, https://refyner.com/guides.html.md.
- Requests with `Accept: text/markdown` return the markdown version (Content-Type: text/markdown) on hosts with negotiation enabled.

## Key pages
- [Home](https://refyner.com/): product overview, models, AI layer, deployment.
- [Pricing](https://refyner.com/pricing.html): plans, compute pricing, FAQ.
- [Case Studies](https://refyner.com/case-studies.html): PetShop.co.uk, Spotminders.
- [vs Alteryx](https://refyner.com/compare-alteryx.html)
- [vs Power BI Dataflow](https://refyner.com/compare-power-bi-dataflow.html)
- [vs dbt / Airflow](https://refyner.com/compare-dbt-airflow.html)
- [vs Tableau Prep](https://refyner.com/compare-tableau-prep.html)
- [About](https://refyner.com/about.html): founded by AJ Rajeswaran; built by the CXDATA team.
- [Security & Trust](https://refyner.com/security.html): pushdown on your Snowflake, least-privilege access, AI data posture.
- [Book a demo](https://refyner.com/book-a-demo.html)
- [Data Processing Agreement](https://refyner.com/dpa.html): UK GDPR Article 28 terms, current sub-processor list, international transfers.

## Company
- Refyner is a product of CXDATA LTD, London, United Kingdom (hello@refyner.com).
- Built on Snowflake. The same data layer CXDATA runs for brands as a managed service is available to teams who want to run it themselves.