User Behavior: Enemy or Ally? Understand How It Can Work in Your Favor

Effective user personalization and improved user experience are advantages. Automations and policy violations can significantly harm your setup.

The Meta platform collects all user behaviors and activities (liking, posting, updating, sharing photos, commenting, creating pages), all account and profile information (passwords, account status, family, friends, birthdays, etc.), and computer and mobile information (local times, device fingerprints, GPS location, and IP).

With the collected data, a “Behavioral Graph” is created. These meta-structures visualize how everything functions, generating a large “global mapping of everyone and how they are related.”

This practice, known as User Behavior or BehaviorID, plays a crucial role in digital marketing and online advertising. However, it plays for both teams – it can be both a valuable ally and a feared enemy. In this article, we will explore how user behavior can work in your favor or hinder your digital marketing strategy, with a focus on Facebook patterns.

User Behavior as Your Ally

Such powerful intelligence analyzes user behavior within Facebook in minute detail, storing and processing algorithms capable of finding patterns to develop representations of how users behaved in the past, and predictions of how they may behave in the future.

These points become positive factors for the advertiser, encouraging people to be more predictable in terms of algorithms and behavior. This allows for the distribution of campaigns and the design of sales and delivery strategies based on user information, such as:

  • Effective Personalization: Facebook, Google, and other advertising platforms use user behavior data to customize ads. This enables you to target relevant ads to specific audiences, increasing campaign effectiveness.
  • Improved User Experience: When user behavior is used to tailor the online experience, it can create a more pleasant environment for your audience, increasing user satisfaction.
  • Conversion Optimization: Understanding how users interact with your website and ads can help optimize conversions. Facebook’s Ad Manager, for example, provides valuable insights into where users drop off in the conversion funnel.
  • Re-marketing Campaigns: Personalized ads encourage users to return and complete an action, whether it’s a purchase, a sign-up, or any other desired goal.

User Behavior as Your Enemy

Once the algorithm understands the exact behavior patterns of “ordinary” people, any activity that deviates from this pattern becomes automatically suspicious. This is precisely what makes the creation of new profiles and ad accounts complex. Therefore, we recommend steering clear of automated onboarding, profile creation, and warm-ups:

  • Suspicious User Behavior: The behavior study detects a user who deviates from the “norm” within minutes of use. Scrolling, automations, and step-by-step tutorials for onboarding can severely harm your Facebook ad accounts.
  • Don’t Be a Human-Robot: You need to appear as an everyday user getting to know the platform. Continue browsing external sites, observing content in groups, feed, asking for information in the marketplace, and interacting in Messenger with these or other people.
  • Type pattern: Typing patterns, screen touches are also factors that structure user behavior. Therefore, avoid using browser “auto-typers” and extensions that don’t bypass this study – The Lauth browser has “smart text copying” that handles this effectively.


User behavior is a powerful resource for platforms and digital marketing. When used effectively, it can be a valuable ally, helping to target ads, optimize conversions, and improve the user experience, allowing for the creation of more effective and personalized strategies.

However, it’s important to be aware of the importance of avoiding slipping into automated patterns and policy violations, and not getting caught during the creation of new accounts by the intelligence specially designed to monitor everyday behavior patterns.

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