How AppNava’s pLTV Strategies Unlock Higher ROAS Potential with Custom Event Optimization | AppNava

by AppNava on Dec 03, 2024

How AppNava’s pLTV Strategies Unlock Higher ROAS Potential with Custom Event Optimization

The Challenge: Inaccurate Targeting & Optimizing the LTV/CAC Ratio

The Solution: Appnava’s Custom Event Optimization (CEO)

Why This Matters

Real-World Impact

Ready to Optimize Smarter?

In this article, we’ll focus on an innovative solution that enables UA managers to have higher ROAS results and less volatile campaigns on major networks like Meta, TikTok and Google. UA campaigns often fail to attract high-value users because of short-term optimization methods. This common approach leads to volatile campaign performance, wasted budgets, and missed opportunities to scale. Appnava’s Custom Event Optimization (CEO), powered by predictive Lifetime Value (pLTV), is here to help you acquire the whales in a data-driven way. Let’s dive deeper into the topic;

The Challenge: Inaccurate Targeting & Optimizing the LTV/CAC Ratio

Most networks use Standard Event Optimization, focusing on volume or short-term conversions. Most common optimization is based on early purchases which frequently results in targeting users with lower long-term value while missing the whales—users who generate substantial revenue later.

UA campaigns that rely on early purchase behavior (e.g., users who make purchases within the first 24 hours) to drive optimization make ad networks use these signals to find “similar” users, this approach comes with a glaring flaw:

High-value users (whales),—those who make large or consistent purchases—tend to exhibit delayed purchase behavior, often occurring days or even weeks later.
By optimizing only on early purchase signals, campaigns miss out on attracting these valuable users, instead focusing on low-value users who don’t drive long-term growth

This misalignment leads to:

Suboptimal ROAS: Campaigns are optimized for short-term value/signals, not long-term profitability.
Wasted Budgets: Ad spending is funneled into acquiring the wrong users.
Scaling Challenges: Without targeting true high-value users, it’s nearly impossible to scale campaigns effectively.

The Solution: Appnava’s Custom Event Optimization (CEO)

Appnava’s Custom Event Optimization solves this challenge by leveraging predictive Lifetime Value (pLTV) to optimize campaigns based on future value, not just immediate actions. Here’s how it works:

Early Prediction of Future Purchases: Appnava’s models analyze user behavior in real time, predicting their likelihood of becoming high-value purchasers—even if their purchases are weeks away.
Feeding pLTV Signals to Ad Networks: Instead of relying solely on early purchases, we send predicted LTV values to ad networks within the first 24 hours. This allows networks to optimize campaigns toward users with the highest future value.
Improved Targeting and Scaling: Campaigns are no longer limited to short-term optimizations. Instead, they attract users who will generate long-term revenue, enabling sustained growth and scalable performance.

Why This Matters

With Appnava’s CEO, you can:

Eliminate Volatility: Campaigns become more predictable and stable as they’re optimized for true value.
Focus on the Right Users: Target high-value, late-purchasing whales instead of low-value early purchasers.
Achieve Scalable Growth: Unlock the ability to scale campaigns with confidence, knowing your ad spend is being used efficiently.

Real-World Impact

Studios leveraging Custom Event Optimization have seen significant improvements in campaign performance:

30% Increase in ROAS by focusing on predicted high-value users.
20% Lower Cost Per Acquisition (CPA) due to smarter targeting.
Scalable Campaigns with reduced volatility and more consistent performance.

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Mobile Game Industry 18 min read Feb 28, 2022

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How AppNava’s pLTV Strategies Unlock Higher ROAS Potential with Custom Event Optimization

Table of Contents

The Challenge: Inaccurate Targeting & Optimizing the LTV/CAC Ratio

The Solution: Appnava’s Custom Event Optimization (CEO)

Why This Matters

Real-World Impact

Never miss a Post Subscribe Now

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