Automate
Mobile Fraud Protection

The most advanced and comprehensive
VAS technology in the field of cybersecurity

Our Three Principle Goals of Preavas

Automate Mobile Fraud Protection

Preavas will analyze traffic in real time while using machine learning and proprietary in house built software to block fraudulent mobile traffic and direct carrier billing fraud.

Provide Actionable Data on current and future sales to prevent any fraud

Preavas can analyze data cohorts per source and granular sub sources to alert advertisers in regards to abnormal churn rates, unusually high or low conversion ratios, subscriber to billing ratio, and customer engagement.

Automate Quality Optimization

Clients can set internal controls to alert them about key KPI factors.

Automate Mobile Fraud Protection

Preavas will analyze traffic in real time while using machine learning and proprietary in house built software to block fraudulent mobile traffic and direct carrier billing fraud. Get detailed analysis on each traffic source. Establish which sources are putting your business in jeopardy and which are the most profitable. Clients can set Internal controls to block all non compliant traffic and traffic sources.

Multiple Subscriptions

Prevent multiple subscriptions: The practice of subscribing to multiple VAS services at the same time. For example, a mobile phone user might subscribe to multiple VAS services such as music streaming, video streaming, and a gaming offer at the same time without their knowledge.

Malware APKs

An APK (Android Package Kit) is a file format used to distribute and install apps on Android devices. A malware APK attack occurs when a user downloads and installs a malicious APK file that has been designed to harm their device or steal their personal information.

Bots

A mobile bot attack is a type of cyber attack in which a bot, or automated program, is used to carry out malicious actions on a mobile device or network.

IFrames

Change to: An IFrame (Inline Frame) is an HTML element that allows a web page to embed another HTML document within itself. A mobile IFrame attack is a type of cyber attack in which a malicious IFrame is inserted into a mobile website or application, with the goal of tricking users into visiting a malicious website or downloading a malicious app.

Dangerous IPs

A dangerous IP address is one that has been identified as being associated with malicious activity, such as spamming, hacking, or distributing malware.

Automate Quality Optimization

Clients can set internal controls to alert them about key KPI factors.
Clients will have the ability to create quality score indicators per country and campaign in order to maximize their ROI on marketing spend and eliminating refund ratios.
Clients can build custom Preavas watch tools such as click to conversion ratio monitoring and time on landing page index to detect direct carrier billing fraud.
Preavas can analyze data cohorts per source and granular sub sources to alert advertisers in regards to abnormal churn rates, unusually high or low conversion ratios, subscriber to billing ratio, and customer engagement.
Clients can create customized reports which will automatically alerts clients whenever specific traffic sources veer outside of expected distribution trends, fraud percentage limits, conversion ratios or set targets.
Using customized reporting, clients can make better marketing decisions when allocating budgets, optimizing, and more.

Actionable Data

Platform Goals

The 3 Preavas Goals

Automate Fraud Prevention

Automate Fraud Protection that keeps your business safe and secure

Provide Actionable Data

Get real-time reports and data to make actionable decisions

Automate Quality Optimization

Automate Quality Optimization by using AI and machine learning intelligence

Preavas Goal 1: Automate Fraud Prevention

Blocks Publisher Conversions

Blocks Are Based On

• Internal Controls.

• Third-party Signals.

• Mobile Fraud Signals.

Constantly Analyses Traffic
Every Hour, Preavas Analyzes Performance For Every Traffic Source Sub-source Across Each Offer They Run.
If a sub-source is failing to meet minimum standards Preavas will automatically blacklist it
Some examples:

• click to subscription ratio

• malicious apps

Preavas Goal 2: Automate Quality Optimization

Setup Up Targets

Advertisers Can Provide A Number Of Different Targets That Sales Reps Set-up Within Preavas.

Any Offer Can Have Multiple Targets.

Preavas Will Analyze Data Cohorts Given Target Inputs To Produce Reports For The Sales Team, And To Use For Auto-Optimization.

Based On Settings That Are Customizable For Each Offer, Preavas Will Begin To Auto-blacklist Sub-sources That Don’t Meet Advertiser Standards Or Are Deemed As Fraudulent Subscriptions.

Preavas Goal 3: Provide Actionable Data

Quality Spectrum
Part Of Preavas’s Analysis Of Traffic Quality Involves Assigning A Value To Every Traffic Sources And Sub-source.
This Quality Score Allows Clients To Make Better Decisions When Allocating Budgets, Optimizing And More.
Alerts
Low Conversion %
Conversion % Targets Can Be Set At The Offer Level.

Ever 4 Hours, Preavas Looks At The Previous 4 Hours Worth Of Data From Every Sub Source. If That Source Has > 10k Clicks To An Offer And Is Either Below The Offer Target, Or Below 01%, Preavas Will Alert The Client.

High Conversion %

Ever 4 Hours, Preavas Looks At The Previous 4 Hours Worth Of Data From Every Sub Source. If That Source Has > 10 Conversions To An Offer And Is Above A 10% Conversion Rate, Preavas Will Alert The Client

Daily Breakdowns
Every Morning Preavas Provides The Team With A Robust Look At How Their Partners Are Performing Across A Number Of Kpis.

Preavas Fraud Prevention & Optimization

Quality Spectrum
Quality Score

Every Day, Preavas Will Look At The Previous 5 Days Of Data And Assign Tiers To Each Sub-source/country Combination. Tiers Are Based On The Percentage Of A Traffic Source Or Placement’s Conversions Have Been Scrubbed For Any Reason Associated With Fraud.

1: <2.5%, 2: <5%, 3:<10%,<15%, 5: > 15%.

Sales Managers Have The Ability To Whitelist Sub Sources By Selecting An Acceptable Quality Score. Their Whitelist Will Automatically Update Whenever The Quality Score Is Re-Calculated.

Preavas Goal 3: Provide Actionable Data

Alerts

Real Time Alerts

Preavas will monitor network activity and identify potential threats in real-time, alerting administrators to take action to prevent breaches or attacks. This data can be used to improve the overall security posture of the organization and protect against future threats.

Deep Meaningful Data

Preavas will gather data on user behavior and activity, allowing organizations to understand how their mobile value added services are being utilized and identify any potential vulnerabilities or areas for improvement. This data can be used to optimize service delivery and enhance the user experience.

How It Works

What we block

  • Block Malicious Apps
  • Block apps that attempt to hack the users phone and auto subscribe end users to the VAS offering
  • Block Auto Subscriptions
  • Block any malware or applications that attempt to subscribe the user to an offer without their knowledge

Block Click Jacking

Measures and reacts to the amount of time between the Click and the Install (CTIT)

Device Fraud/Duplicate Ips

Looks for multiple conversions from the same EXACT IP to the same Offer in a given timeframe.

If found, future clicks from that IP block will get redirected to our catch-all for a period of time.

Looks for multiple conversions from the same IP block (le. 25.55.555.555 and 25.55.555.10 would be considered a duplicate) to the same Offer in a given timeframe.

Blocks Duplicate User

Looks for multiple conversions on the same Offer Template from the same user (Device ID/cookie) ever (all-time).

Block Click Flooding

Measures the amount of clicks from the same user (Device 10/cookie) to any Offer Template in a given timeframe

Measures and reacts to the amount of time between the Click and the Install (CTIT)

Block Click Throttling

Block click throttling is a technique used to prevent users from clicking on a button or link too many times in a short period of time.
ROAS – Return-On-Ad-Spend (ROAS) is the most common type of Target our partners look for. Advertisers have the option to pass us Cost-per-Event or Conversion and our system will auto optimize and alert you on best sources and sub sources.
This Target is available for Advertisers who require a specific Click-to-Conversion Rate Abnormal Conversion rates- Our system can in real time analyze sources and sub source conversion ratios and alert Advertisers of abnormal rates based on historical data.
• click to subscription ratio • malicious apps

What we Analyze

How it Helps

How We Help Secure Your Mobile Business

Real time reporting

• Advertisers get real time data on source and subsource

• Customized reporting panels

• Hourly and Daily reports that indicate potential problem sources

• Pre and post payment traffic source and sub source quality score stats including revenue/churn ratio

• Real time alerts and reports for each geo, landing page and campaign

• Create customized LTV, ROAS and churn blacklist groups

• Safety standard alerts

Results
• under 2% chargeback ratio for partners
• 50% increase in ROAS and a 15% increase in Lifetime value of customers
• Instant access to profitable traffic partners and placements
• Ability to block sources and sub sources in real time without affecting all traffic
Results for Telcos
• Under 1% fraud rate
• A 70% decrease in customer/end user complaints
• Active in over 40 countries worldwide

Results

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