Discover the Market Leading

Deep Machine Learning Solution

for Marketing & User Acquisition (UA) Campaigns

Supercharge Marketing Campaigns for Games

Boost ROAS & Quality of the Player Base

AppNava equips marketers with LTV & ROAS prediction models. ML-based model enables developers and publishers to accurately assess campaign performance. With precise LTV predictions and detailed campaign-level insights, AppNava enhances UA strategies by refining bidding and custom events to target high-value users.

Unlocking the Power of LTV Predictions with AppNava

At AppNava, we're dedicated to equipping you with precise and actionable insights from Day 1. With our platform, you can predict Day 30, Day 60, Day 180, and Day 360 Lifetime Value (LTV) with exceptional accuracy. This capability empowers you to make informed decisions early in the user lifecycle, optimizing your strategies for both immediate and long-term success.

Detailed LTV Predictions Across Ad Revenue and IAP

Our platform goes beyond basic analytics by offering comprehensive LTV predictions that break down into both ad revenue and in-app purchases (IAP). This dual perspective ensures you have a clear understanding of where your revenue is coming from—whether it's through ads or user spending within your app.

Visualize Your Revenue Trajectory

To enhance the practicality of these insights, AppNava provides you with advanced visualizations that allow you to track and analyze LTV predictions over time. With these tools, you can monitor the impact of your strategies at various stages of the user journey, ensuring that your efforts are both efficient and effective.

Average LTV by Country & Traffic Source: Gain a global view of how different markets and traffic sources contribute to your overall LTV, enabling you to tailor your approach to each region and source.
LTV Predictions for Various Traffic Sources: Identify which traffic sources yield the highest returns and understand their performance over time. This enables you to allocate resources more effectively and maximize your ROI.

Custom Event Optimization with Predicted LTV (pLTV) Signals

Signal Optimization is revolutionizing digital marketing by enabling brands in sectors like subscription-based businesses and the gaming ecosystem to achieve better payback periods and improved Lifetime Value to Customer Acquisition Cost (LTV/CAC) ratios. By leveraging predicted Lifetime Value (pLTV) as a signal—data sent to social ad networks like Meta, TikTok, and Google—advertisers help algorithms identify high-value customers, reducing acquisition costs and driving sustainable growth.

Activating pLTV Strategies on Major Ad Platforms

Implementing pLTV strategies effectively requires a few key steps to ensure seamless integration with platforms like Meta, TikTok, and Google. The process starts with choosing a suitable pLTV model, followed by building the model, sending pLTV signals, and measuring success. Each of these steps enables ad algorithms to use high-value customer insights to optimize campaigns for lasting impact.

Advertisers can set up custom event optimization, create LTV-based lookalike audiences, and tailor bidding strategies to boost results. By integrating pLTV metrics into cross-channel measurement, brands can also refine campaign success metrics like Return on Ad Spend (ROAS) and LTV to CAC ratios. This data-driven approach ensures that campaigns consistently attract high-LTV customers, enabling sustainable growth.

Shape Your Bidding Strategy with Predicted LTV

The integration of technologies like Facebook's Conversions API and Google's Server-Side Tagging allows real-time optimization based on LTV scores by sharing user-level signals directly between servers. This enables precise campaign adjustments and automated bidding.

With Our Data Science Platform Make Decisions with Confidence

Create a post-IDFA growth strategy

Campaign optimization (through ‘Analyze’), and reporting

Dashboard tailored to your game; setup, and support included

AI/ML predictive modeling

Grow UA, LTV, and ROAS

Let's Talk iOS Campaigns

Set up your conversion value (SKAdNetwork) is the key to success on User Acquisition.

What is SKAdNetwork?

SKAdNetwork is a privacy-friendly change that Apple introduced with iOS 15. The main goal of Apple through this method is to gain more accurate attribution for the iOS campaign. Thanks to Apple's newest iOS 15 update and SKAdNetwork, you can set new endpoints with AppNava and maximize your marketing performance.

Leader SKAdNetwork Solutions for Advertisers

Apple will be sharing a copy of a qualified postback with YOU, the developer. To extract the most value from this copy, we invite you to set your new endpoint with AppNava; a trusted SaaS company focusing on helping game studios/publishers become more data-oriented and assist in solving their data-related problems.

Easy, Code-Free Implementation

Advertiser app calls to the SKAdNetwork with AppNava’s Endpoint, providing code-free implementation of SKAdNetwork for your iOS apps.

Step 1

The user clicks on an ad and installs an App from the AppStore

Step 2

iOS sends the postback to the AppNava to optimize your campaigns

Step 3

AppNava AI model measures the LTV of each user

Step 4

Within up to 24 hours, AppNava API updates LTV as the conversion value (iOS waits 24 hours to update conversion value)

Step 5

AppNava translates the postbacks and conversion values to shows records on the dashboard

AppNava's endpoint enables you:

The SKAdNetwork data efficiently to be able to make the best-informed advertising decisions. Appnava translates the postbacks and conversion values to shows records on the dashboard.

Setting up the API and DB infrastructure, guaranteeing a smooth data flow (full support to the development team).

Returning and validating the conversion value (LTV) within up to 24 hours.(AppNava AI model measures LTV of each user)

Let's Talk Android Campaigns

Whether it's an event-oriented campaign on Tiktok & Facebook or ROAS-oriented on AppLovin, learn how to do correct event mapping with AppNava to boost marketing campaign performance.

AppNava's constantly learning algorithms detect "Why players make IAP or don't", "Why players have low engagement & more".

Then lets you set critical events associated with the campaigns.

Improve UA for Both IOS & Android

We have killer ML/AI models to optimize marketing & UA problems, especially after iOS-SKAD and soon for Android. Close down underperforming campaigns and expand successful campaigns.

To get the highest-quality users

To allocate the marketing budget much better

To optimize ads & ensure that you move forward with acquiring players with high LTV