Praktika boosts attribution accuracy and ROAS visibility with Adjust

Praktika was created by a team of founders who personally understood the struggle of learning to speak confidently in a new language. By building an AI-driven learning experience that replicates human conversation and adapts to each learner’s goals and pace, the goal is to empower users to develop real conversational fluency.

As the app began to grow rapidly across multiple regions and to experience viral growth, however, Praktika’s marketing team faced significant challenges with campaign measurement and optimization. Their existing setup relied on platform dashboards from Meta and Google Ads, using installs and click-through rates as proxies for performance. This approach left them with fragmented attribution, unreliable cross-channel data, and limited visibility into post-install events such as trial activations and subscriptions. Without a unified source of truth, it was difficult to understand which campaigns truly drove high-value users and how to allocate budgets effectively.

Recognizing the need for precise, real-time attribution and actionable performance data, Praktika turned to Adjust.

To solve these challenges, Praktika implemented Adjust’s attribution and in-app event tracking features, along with redirect URLs and a trial of fraud prevention tools. Adjust provided accurate, cross-channel attribution and real-time event tracking, enabling Praktika to clearly see which campaigns, ad sets, and creatives were driving their most valuable users.

The setup process was seamless, supported by Adjust’s clear documentation and dedicated support team. With all performance data now centralized in Adjust’s dashboard, Praktika eliminated manual reporting and made cross-channel optimization faster and more precise.

Since integrating Adjust, Praktika has gained a single, trusted view of performance, driving smarter campaign decisions and stronger ROI across all channels. Accurate event tracking and cohort analysis now allow the team to identify and prioritize high-value users, optimize budget allocation, and scale efficiently across regions.

Key outcomes include:

• +20% attribution accuracy: eliminating duplicate or misleading attributions
• +40% faster reporting: with automated dashboards replacing manual analysis
• Improved ROAS visibility: enabling confident, ROI-based decision making
• Higher-quality user acquisition: driven by clearer insight into LTV and trial-to-subscription conversion