BBot AI

Problem

The Impact of Fraudulent Traffic on Analytics and Budgets

Fraudulent and low-quality traffic distorts analytics and makes performance metrics unreliable.
As a result, marketing decisions are based on inflated data, leading to inefficient budget allocation across channels that do not deliver real engagement.

Our solution

Deep traffic
analysis

BBot-AI analyzes technical device characteristics, browser and environment parameters, and interaction patterns to detect anomalous or non-human traffic. The service does not identify individual users.

Bot detection at every level

We identify both obvious bots from search traffic and advanced systems that imitate real users, fill out forms, and trigger fake conversions.

Smart audience filtering

The system automatically analyzes each visit and filters out irrelevant, suspicious, and bot traffic before it enters your funnel.

How it works?

We analyze your traffic data, and after the
first 7 days you receive a report that shows:

View the full report

Our case

How did BBotAI help identify bot traffic, improve data quality, and optimize channels?

After integrating BBot technology, the client gained a complete picture of traffic quality and saw the true distribution of audiences for the first time.

General Statistics

2,349

targeted visits

2,492

non-targeted

1,001

suspicious visits

312

bots

Most of the bots were complex (132) and advanced (180). These programs most closely resemble humans and can even perform targeted actions, making them particularly dangerous for analytics.

View the full case

Traffic quality analytics and fraud detection