Companies that use AppsFlyer

Source: Analysis of job postings that mention AppsFlyer (using the Bloomberry Jobs API)

I noticed that AppsFlyer buyers are predominantly marketing and growth leaders, with Directors of Marketing representing 19% of postings and Directors of Analytics at 10%. These decision-makers sit at the intersection of performance marketing, user acquisition, and data analytics. They're responsible for driving measurable business outcomes through mobile channels and are hiring for roles that require deep expertise in attribution, campaign optimization, and ROI analysis. Their strategic priorities center on scaling user acquisition efficiently while maintaining data integrity across increasingly complex marketing ecosystems.

The day-to-day users are performance marketers, user acquisition managers, and technical account managers who rely on AppsFlyer for mobile attribution and campaign tracking. These practitioners manage campaigns across Google, Meta, TikTok, and programmatic networks, using AppsFlyer to measure KPIs like CPI, ROAS, LTV, and conversion rates. They conduct A/B testing, optimize creative performance, and ensure accurate data collection across iOS and Android platforms. Many roles involve close collaboration with product teams to track the entire user journey from install to monetization.

The pain points reveal companies struggling with fragmented measurement in a privacy-first world. One posting emphasizes the need to "design and deploy multi-touch attribution and probabilistic attribution approaches" while another seeks expertise in "SKAN, MMPs" to "optimize ROAS and LTV across channels." A third highlights the challenge of "ensuring accurate, privacy-compliant data collection" across platforms. These companies need unified visibility into marketing performance and the ability to prove incrementality and ROI in increasingly complex digital environments.

Source: Analysis of Linkedin bios of 16,367 companies that use AppsFlyer

I noticed that AppsFlyer's typical customers are consumer-facing companies that need to acquire, engage, and retain users through mobile apps. These aren't just "tech companies." They're businesses across finance (digital banks like KAST, lending platforms like iCred), entertainment (gaming studios like Fingersoft and Candywriter, streaming platforms like TVING), travel and lifestyle (30 Sundays, Three Day Rule), health and wellness (Yazio, Solid Starts), and retail (ThredUp, 6thStreet.com). What unites them is a direct-to-consumer mobile presence where user acquisition costs matter deeply.

These companies span the full maturity spectrum, though most sit in the growth stage. I see established players like Herbalife (15,000+ employees, publicly traded) and LG Uplus alongside seed-stage startups like Barebone (3 employees) and PandaMoney (5 employees). The sweet spot appears to be Series A to Series C companies with 50-500 employees who've proven product-market fit and are scaling aggressively. Many list funding rounds between $5M and $130M.

Source: Analysis of tech stacks from 16,367 companies that use AppsFlyer

I analyzed the tech stack patterns and it's clear that AppsFlyer users are mobile-first companies running sophisticated app-based businesses. The presence of Branch and Adjust alongside AppsFlyer tells me these companies are obsessed with understanding every aspect of their mobile user acquisition funnel. They're not just tracking downloads, they're running complex multi-channel campaigns where knowing exactly which ad, influencer, or organic source drove each install is critical to their unit economics.

The combination of AppsFlyer with Branch makes perfect sense because these companies need both attribution (where users come from) and deep linking (getting users to the right place in their app). When you add Amplitude to this mix, you see the complete picture. They're tracking the attribution, optimizing the onboarding flow, and then measuring long-term engagement and retention patterns. Adjust appearing frequently suggests many are either testing multiple attribution providers or have switched between platforms as they've scaled. The Docker Hub correlation indicates these are technical teams running containerized infrastructure, likely because mobile apps require substantial backend services.

These companies operate with a performance marketing mindset. They're spending serious money on user acquisition across multiple channels and need real-time data to optimize their spend. The presence of Pagerduty suggests they're at a scale where downtime in their attribution or analytics pipeline creates real business problems. They're likely past the early startup phase and into growth mode, where they have dedicated growth teams, performance marketers, and data analysts all relying on this infrastructure daily.