Case Study: TextNow achieves clean, fraud-free performance data and a trusted source of truth with Adjust

TextNow Uses Adjust as a Source of Truth For Their Performance Marketing

TextNow is a free texting and calling app that relies heavily on performance marketing to acquire users, but faced a major challenge: fraudulent installs and inconsistent attribution were tainting datasets and undermining user‑acquisition decisions. Their team needed a trusted, single source of truth to accurately measure campaign performance across self‑attributing networks and other partners.

By using Adjust as their attribution and fraud‑prevention backbone, TextNow filters out roughly 20% of incoming installs, combats common fraud types, and automatically reports incidents to partners. The partnership let TextNow vet 100+ marketing partners more quickly, protect budget from invalid installs, and establish reliable data for marketing and LTV modeling across the organization.

TextNow

Tyler Cooper

Head of User Acquisition