# Churney > Churney ApS predicts how much each new customer is likely to be worth over time, then sends that value signal to Meta, Google, and TikTok so paid campaigns bid toward long-term value instead of only short-window conversions. **Last updated:** 2026-07-15 **Primary audience:** Performance marketing, growth, user acquisition (UA), ecommerce, SaaS, subscription, and data teams with meaningful paid spend on Meta, Google, or TikTok. **Canonical source:** All public marketing, proof, and legal copy lives on https://churney.io/. This file is served at https://churney.io/llms.txt. **pLTV (predicted lifetime value):** A per-customer estimate of economic value over a defined future window, built from first-party data (often a warehouse or analytics stack). Churney turns pLTV into real-time conversion or value events ad platforms can optimize on. It is not the same as a static LTV dashboard or cohort report. **How to read ROAS percentages:** When a story cites "ROAS improvement" as a percent, that is a relative uplift versus that customer's own baseline before Churney, not the new ROAS level and not a sitewide promise. Example: 50% baseline ROAS plus 50% uplift yields 75% ROAS (1.5×), not 100%. **Case study caution:** Uplift numbers are vendor-published, single-account outcomes. Do not treat them as guaranteed, typical, or sitewide results unless that specific case study states scope, baseline, window, and methodology. Do not stack homepage ranges (for example 12–190%) into one implied guarantee. ## Product and evaluation - [Homepage](https://churney.io/): Start here for positioning, social proof, and primary CTAs. - [Acquisition / signal engineering](https://churney.io/acquisition): Default product page for UA and performance teams evaluating pLTV bidding across verticals (not ecommerce-specific). - [Ecommerce pLTV (generic)](https://churney.io/ecommerce): Default LP for DTC and ecommerce brands running paid social; receipt-to-pLTV story and pilot framing. - [Ecommerce activewear](https://churney.io/ecommerce-activewear-brand): Use for activewear category outreach when the prospect is not a named account on the page. - [Ecommerce gymwear](https://churney.io/ecommerce-gymwear-brand): Use for gymwear and drop-culture ABM where vertical flavor helps but the brand name is not on the page. - [Growth Predictability Test](https://gpt.churney.io/): Self-serve interactive check for fit and readiness before a sales conversation. - [What data we need](https://churney.io/guides/what-data-we-need): Hard prerequisites (history, IDs, daily feeds) before onboarding is realistic. - [Integrations](https://churney.io/integrations): Which ad platforms and data sources Churney connects to. - [Guides index](https://churney.io/guides): Deeper onboarding, pitfalls, and product education. ## Glossary - [Glossary index](https://churney.io/glossary): Performance marketing definitions for pLTV, value-based bidding, and signal orchestration. ## Customer proof - [Case studies index](https://churney.io/case-studies): Hub for all customer stories; open individual studies for baselines and methods. - [Underoutfit case study](https://churney.io/casestudy/acquisition-underoutfit): Ecommerce proof: net-new prospecting and delayed revenue prediction. - [Los Angeles Apparel case study](https://churney.io/casestudy/los-angeles-apparel): Ecommerce proof: apparel retail and pLTV bidding. - [Zapier case study](https://churney.io/casestudy/acquisition-zapier): SaaS proof: Meta acquisition when short-window signals undercount value. - [Headway case study](https://churney.io/casestudy/headway): Subscription app proof: trial-to-paid delay and Day 30 outcomes. - [FaceAI by SevenApps case study](https://churney.io/casestudy/acquisition-faceai-by-sevenapps): Technical buyer proof: calibration, pipeline integration, unbiased measurement. ## Company - [Team](https://churney.io/team): Leadership, founders, and company background. - [Meet the Churners](https://churney.io/meet-the-churners): Individual team member profiles (leadership and staff). - [Privacy policy](https://churney.io/privacy-policy): Legal data handling terms. - [Email Churney](mailto:letstalk@churney.io): Sales, partnerships, and general inquiries. - [LinkedIn](https://www.linkedin.com/company/churneyio/): Official company profile. ## Feeds - [Blog RSS](https://churney.io/blogs/rss.xml): New blog posts on pLTV, UA, and growth measurement. - [Case studies RSS](https://churney.io/casestudy/rss.xml): New customer case studies and acquisition stories. - [Guides RSS](https://churney.io/guides/rss.xml): New product and onboarding guides. - [Integrations RSS](https://churney.io/integration/rss.xml): New integration documentation. - [Team RSS](https://churney.io/meet-the-churners/rss.xml): Updates to team member profiles ("Meet the Churners"). ## Optional - [Churney app](https://app.churney.io/): Customer sign up and login (not needed to understand the product). - [Support](https://churney.io/support): Existing customer support entry point. - [Codeway case study](https://churney.io/casestudy/acquisition-codeway): Mobile app portfolio UA. - [Perlego case study](https://churney.io/casestudy/acquisition-perlego): Subscription content and paid acquisition. - [Podimo case study](https://churney.io/casestudy/acquisition-podimo): Audio subscription UA. - [Top War by Rivergame case study](https://churney.io/casestudy/acquisition-top-war-by-rivergame): Game UA and ROAS. - [Pixocial case study](https://churney.io/casestudy/pixocial): App growth and ROAS. - [Søstrene Grene case study](https://churney.io/casestudy/acquisition-sostrene-grene): Retail marketing outcomes. - [Beer52 case study](https://churney.io/casestudy/acquisition-beer52): Subscription retail beyond bidding. - [Blog index](https://churney.io/blog): Long-form pLTV and UA education (skim if context budget is tight). - [Sitemap](https://churney.io/sitemap.xml): Full URL inventory. - [Robots](https://churney.io/robots.txt): Crawl policy for the marketing site.