Tips & Insights for Link Marketing

Introduction Mobile ad fraud detection does not require waiting weeks for a forensic audit. Imagine being woken up by a sudden spike in your advertising budget at midnight, only to find out your spend has inexplicably ballooned while you slept. It's a scenario all too familiar for many marketers, highlighting the urgency in recognising fraud quickly. Often, fraud leaves clear signals in your data, such as click timing, conversion rates, geographic patterns, device distributions, and post-install events, which you can review in just 15 minutes. This guide covers seven common fraud patterns and provides a practical fraud prevention workflow. You will also learn how to investigate these patterns using Linkzly’s attribution-ready Smart Links and live analytics dashboards.

Picture this: A user clicks on a promotional email from your app, excited about a special offer. Instead of landing on the targeted content or product page, they’re sent to your app’s generic homepage, or worse, prompted to install without context. Frustrated, they bounce quickly. Sound familiar? This scenario plays out daily across mobile apps worldwide. While traditional deep linking solved basic app navigation, it often falls short of delivering the tailored experiences modern users expect. Generic links that ignore user context hurt conversion rates and engagement. Enter Smart Links from Linkzly – a powerful approach that enables contextual, personalised link destinations based on real-time factors like device type, location, and campaign parameters. For growth marketers aiming to maximize conversions and retention, Linkzly’s Smart Links represent the shift from one-size-fits-all to smarter, more relevant user journeys.