Relevant
The account speaks to the same kind of audience, pain, identity, or aspiration your product serves.
The process
This page explains exactly what we do after you join Batch 5. The short version: we find the accounts already winning, download their best posts, and turn the patterns into usable intelligence for your product.
100
accounts discovered in your niche
~20
viral posts downloaded per selected account
5+
layers of reverse engineering
1
master library for your niche
Why account selection matters
A random popular account does not help much. We care about accounts with audiences, formats, emotions, and content systems your product can learn from. If an account is getting attention with a format that can be adapted to your product, it becomes a map.
The account speaks to the same kind of audience, pain, identity, or aspiration your product serves.
The posts have real traction, recent views, and signals that TikTok already rewards the content.
The formats, hooks, pacing, and visuals can be adapted without copying the creator directly.
Step by step
Before searching TikTok, we clarify what your product sells emotionally: the audience, pain, desire, identity, transformation, and category language. This makes the research specific to your product instead of a generic competitor scrape.
Output: Product context used to judge which accounts are actually relevant.
We search for TikTok slideshow accounts already getting attention from the type of people your product wants to reach. The goal is to find accounts that are relevant, active, repeatable, and useful to study.
Output: A database of 100 accounts with profile data, performance metrics, captions, hashtags, and AI scoring.
Not every account is equally valuable. We look for accounts that, if they were yours, could reasonably bring attention, traffic, or customers because their content system matches your market and can be adapted.
Output: A selected set of high-value accounts with clear reasons for why they matter.
For the selected accounts, we pull the strongest posts, usually around 20 per account. You receive the metadata and the actual slide images, organized so the creative can be studied directly.
Output: Downloaded posts with metadata, engagement data, music data, hashtags, and slide image files.
We analyze what each post is doing psychologically and structurally: the hook, emotion, audience pain, pacing, visual style, CTA, save mechanics, share mechanics, and why the slideshow worked.
Output: Post-level reverse engineering that explains the mechanics behind the performance.
After the deep analysis, we compress the important patterns into a cleaner account summary. This removes noise and keeps the reusable systems: hooks, formats, psychology, visuals, pacing, and product adaptation ideas.
Output: One compressed intelligence summary per account.
Finally, we synthesize all accounts together to find the laws of the niche: recurring emotional systems, hook systems, formats, pacing rules, visual patterns, conversion angles, and anti-patterns.
Output: A master library that tells you what your niche already rewards.
The data
The details below are what make the research useful. You receive the source accounts, the posts, and the structured intelligence that explains what to study.
This tells us whether the account is relevant, active, strong, and worth studying for your niche.
This gives you the actual creative and the performance context behind it.
This is the cleaner blueprint version: the patterns that matter after the deep reverse engineering.
Final package
The goal is not to hand you inspiration. The goal is to give you a research base that shows what your niche already responds to, so you can create from evidence instead of guessing.
Batches 1-4 sold out · Batch 5 open for 5 clients