# TikTok Shop playbooks

## TikTok Market Trend Analysis

Evaluate a region and category using GMV, sales, growth, creator participation, content intensity, seller concentration, and category momentum. Keep region and time-window boundaries explicit.

## TikTok Product Selection

Score products by:

- Visual demonstration strength.
- Pain-point clarity and low explanation cost.
- Scene repeatability and creator fit.
- Commission and margin room.
- Sales growth and content supply.
- Potential for advertising and live expansion.

Show the scoring rubric, evidence, uncertainty, and disqualifying risks.
When market, cost, fulfillment, or compliance evidence is missing, leave those dimensions unscored and give a conditional qualitative verdict instead of a precise total score.

## TikTok Material Breakdown

Break down high-performing videos by hook, first three seconds, scene, pain point, demonstration, proof, subtitle, CTA, creator style, pacing, and fatigue risk. Distinguish observed structure from inferred causal impact.

## TikTok Script Creation

Create bounded batches of evidence-based hooks, UGC scripts, creator briefs, ad variants, or live talk tracks. Tie every claim and angle to product evidence. Do not initiate paid media generation without approval.

## TikTok Content Production

Build a content calendar by product, audience, angle, creator type, format, date, owner, and KPI. Include an asset checklist, review gate, reuse plan, and test matrix.

## TikTok Affiliate Ops

Build a creator shortlist, outreach angle, sample plan, commission hypothesis, tracking fields, ROI thresholds, and follow-up cadence. Audience and sales metrics require a real data source; public profile observations are not equivalent.

## TikTok Ads Live Ops

Keep organic content, paid ads, and live-room performance separate. Use item, video, live, seller, and uploaded report evidence to define scale, hold, or stop rules; budget guardrails; script improvements; and the next-test queue.