Acquisition Intelligence

See what your acquisition traffic

is really bringing in

Understand traffic quality early, assess player value, and make better acquisition decisions

Book a demo

More Accurate LTV Prediction for Traffic Sources

ROMI

Growth

Reduced Marketing Abuse & Bonus Fraud

What’s inside

LTV Prediction

Early prediction of each player’s long-term value based on real behavioral signals, not historical averages

Marketing Abuse Detection

Identification of suspicious activity in new player behavior to investigate and prevent potential abuse

Newbies Behavioral Profiling

Key characteristics of each new player segment identified from day one

Customized for you

Insight-Driven

Data-Centric

A/B-Tested

Understand the Quality of

New Players Early

Acquisition Intelligence helps your team evaluate new players in their first sessions, revealing value, risk, and behavioral patterns that shape traffic quality

Player value is assessed from real behavior, not historical averages

Suspicious and abusive patterns are flagged early for review

Clear Answers for Acquisition Decisions

By classifying newcomers based on how they actually play, Acquisition Intelligence gives marketing and analytics teams a reliable view of traffic performance from the start

Clear Answers for Acquisition Decisions

By classifying newcomers based on how they actually play, Acquisition Intelligence gives marketing and analytics teams a reliable view of traffic performance from the start

Better insight into sources, spend, and which traffic is worth scaling

How It Works

Steps to Elevate Traffic

Quality and New Player

Value Early

Step 1

Acquisition Intelligence Setup

We align on what defines value and risk for your acquisition strategy and build a behavioral foundation to evaluate new players from their very first sessions

Newbies Behavioral Profiling

Outputs:

Daily files on new players with their assigned behavioral segments

Report on AI-powered player segments and their characteristics

Step 2

Launch of AI Acquisition Evaluation & Detection

Next, we deploy AI models to evaluate new traffic quality, predict future value, and flag risky or abusive patterns while there’s still time to act

Marketing Abuse Detection

LTV Prediction

Outputs:

Daily files on predicted value, and flagged suspicious activity

Step 3

Informed Acquisition Decisions

As a result, all evaluation results are available in a live back office dashboard, giving your team full visibility into acquisition quality, sources, and risk signals

Outputs:

Real-time dashboard with detailed acquisition performance and risk indicators

Clear visibility into low-quality or suspicious traffic — updated live

Acquisition Deep Dive

Together, we define what value and risk mean for your acquisition strategy, supported by in-depth discovery analytics
We provide access to a live back office with a clear, behavior-level view of new players, traffic quality, and early value signals
These insights guide your teams in decision-making around budget adjustments, source assessment, and acqusition scaling

Book a demo

We handle the integration in as little

as 20 days

Data Connection

Agreement on data transfer and requirements

Setup of the data source

Validation of transferred data accuracy

Secure Data Transfer

Insights & Training

Preparation of data

AI models training

Launch & First Results

A/B test design

Test launch

Test results evaluation

Your data is handled with the highest security standards

No sharing of personal data

Your data is used solely for your needs in isolated and secured environment

Robust security protocols in place

Frequently Asked Questions

What kind of data do you use?

For the Active Players Boost, we use aggregated and anonymized data, including:

General player data: location, currency, and age (no personal data)
Gaming activity data: frequency, preferences, and session durations
Bonus activity data: engagement with different types of bonuses and redemption rates
Payment activity data: deposit frequencies, average amounts, and transaction patterns

A detailed table can be provided upon request.

How can we improve engagement through your behavior profiling?

Our AI-powered segmentation dynamically identifies naturally occurring behavioral patterns, going beyond static rules. This allows for:

Precise targeting with tailored offers and campaigns
Improved player lifecycle management by understanding individual behaviors

How can the Active Players Boost help optimize bonus strategies?

The solution analyzes player preferences and behaviors to:

Recommend bonuses tailored to each segment for maximum effectiveness
Highlight underperforming bonuses and suggest alternatives
Maximize ROI by aligning bonus distribution with player engagement metrics

What are the outputs of the Active Players Boost solution?

Once launched, the solution generates for you daily actionable data, including:

Player Segments: IDs with assigned segments and detailed characteristics.
VIP Probabilities: Early identification of potential high-value players with insights into their behaviors.
Bonus Recommendations: Next-best offers with optimal engagement times for each segment.
Suspicious Activity Alerts: Flags for potential fraud or unusual patterns with actionable steps for review.

How do different teams benefit from this data?

Marketing Team:

Detect and mitigate fraud (e.g., affiliate abuse or bonus exploitation)
Evaluate traffic quality from new marketing campaigns
Refine targeting for future campaigns based on player behavior

Retention Team:

Gain insights to optimize the user experience and boost engagement
Develop activation strategies using segmentation data and bonus recommendations
Monitor player activity to identify and address drop-offs early

VIP Team:

Focus efforts on high-value players with personalized outreach strategies
Leverage optimal timing and tailored incentives to build loyalty
Use detailed player profiles to inform long-term engagement plans

What does the integration process require?

Your team sets up a database replica with pre-agreed views accessible to us. We handle all ETL processes, validate data accuracy, and collaborate with your team to train the models.

When will we start seeing results?

Results typically show within 2–3 months, as the AI models:

Learn from and adapt to your platform’s unique player data
Align with your teams to refine strategies and execute targeted campaigns
Improve metrics such as player retention, engagement, and overall revenue

What kind of data do you use?

For the Active Players Boost, we use aggregated and anonymized data, including:

General player data: location, currency, and age (no personal data)
Gaming activity data: frequency, preferences, and session durations
Bonus activity data: engagement with different types of bonuses and redemption rates
Payment activity data: deposit frequencies, average amounts, and transaction patterns

A detailed table can be provided upon request.

How can we improve engagement through your behavior profiling?

Our AI-powered segmentation dynamically identifies naturally occurring behavioral patterns, going beyond static rules. This allows for:

Precise targeting with tailored offers and campaigns
Improved player lifecycle management by understanding individual behaviors

How can the Active Players Boost help optimize bonus strategies?

The solution analyzes player preferences and behaviors to:

Recommend bonuses tailored to each segment for maximum effectiveness
Highlight underperforming bonuses and suggest alternatives
Maximize ROI by aligning bonus distribution with player engagement metrics

What are the outputs of the Active Players Boost solution?

Once launched, the solution generates for you daily actionable data, including:

Player Segments: IDs with assigned segments and detailed characteristics.
VIP Probabilities: Early identification of potential high-value players with insights into their behaviors.
Bonus Recommendations: Next-best offers with optimal engagement times for each segment.
Suspicious Activity Alerts: Flags for potential fraud or unusual patterns with actionable steps for review.

How do different teams benefit from this data?

Marketing Team:

Detect and mitigate fraud (e.g., affiliate abuse or bonus exploitation)
Evaluate traffic quality from new marketing campaigns
Refine targeting for future campaigns based on player behavior

Retention Team:

Gain insights to optimize the user experience and boost engagement
Develop activation strategies using segmentation data and bonus recommendations
Monitor player activity to identify and address drop-offs early

VIP Team:

Focus efforts on high-value players with personalized outreach strategies
Leverage optimal timing and tailored incentives to build loyalty
Use detailed player profiles to inform long-term engagement plans

What does the integration process require?

Your team sets up a database replica with pre-agreed views accessible to us. We handle all ETL processes, validate data accuracy, and collaborate with your team to train the models.

When will we start seeing results?

Results typically show within 2–3 months, as the AI models: