TikTok Automated Account Launch Day 2: Automated Batch Account Nurturing, Precise Tagging
This is episode 2 of the series, detailing the advanced settings of Cookie Bot: how to use automated scripts to batch follow big accounts in vertical fields, leveraging algorithm recommendation mechanisms to trigger precise account tag targeting. The core practical operation of Day 2 of the 7-day TikTok account creation methodology.
Many people’s accounts get only 200 views on their videos because your account is a “white account” in the algorithm’s eyes! This episode demonstrates how to use cloud control technology to execute follow tasks with one click, making 1,000 phones “come alive” on their own.
Background
Many TikTok accounts only get 200 views after posting videos, mainly because the account is an “unlabeled white account” in the algorithm’s eyes. After completing basic environment setup on Day1, the core task of Day2 is to trigger the platform’s account tagging and classification mechanism through automated batch following.
Core Highlights of This Episode
- True Batch Following: Lock onto 20 high-authority accounts in a vertical niche (e.g., Alo Yoga, etc.)
- True Closed-Loop Logic: Leverage the Suggested recommendations mechanism to force the system to recognize and associate with high-authority competitors
- True Dimensionality Reduction Strike: The script executes random scrolling and homepage dwell time, completely eliminating machine-like account behavior
Automation Following Principle
Send follow commands to each cloud phone via cloud control technology:
- Keyword Targeting: Input keywords based on the target vertical niche (e.g., Yoga/Nail/Clothing)
- Account Filtering: Automatically search for high-quality large accounts in that niche with high follower counts and strong engagement rates
- Batch Follow Execution: The cloud control script simultaneously sends follow tasks to 1,000 cloud phones
- Behavior Simulation: Insert random scrolling, homepage dwell time, and other authentic interaction behaviors before and after following
Tagging and Classification Mechanism
TikTok’s recommendation algorithm identifies account niches through the following dimensions:
| Dimension | Description |
|---|---|
| Following List | The niche of accounts you follow reflects your account’s interest direction |
| Watch History | Content dwelled on in the FYP page determines recommended content direction |
| Interaction Behavior | Types of likes, comments, and shares reinforce tags |
| Search History | Keywords actively searched directly affect account classification |
Why Batch Following Is Necessary
- Following only a few accounts from a single account generates too weak a signal for the algorithm to trigger tagging and classification
- Batch operations can inject a large number of signals within 24 hours, accelerating account tagging and classification
- Each cloud phone has its own independent IP and device environment, avoiding account association risks
Risk Control Notes
- Following too fast can trigger the platform’s anomaly detection; it is recommended to execute at random intervals
- Maintain a reasonable browsing duration (30 seconds to 2 minutes) after each follow
- The ratio of follows to unfollows should remain natural
Preview of next episode: Day3 - Automatically search keywords to nurture accounts, further strengthening the account’s vertical tags through precise keyword searches!