NA-KD - Grew Watch‑time +82% with Inside Editors

How NA-KD scaled on-brand video output using a pod-based editing workflow built around rapid collection drops-cutting turnaround times, revision cycles, and overall spend.

Project snapshot

Client

Platforms

Instagram Reels, TikTok, YouTube Shorts, CTV

Goals

Increase watch-time, CTR, and conversion from social to PDPs

Timeline

8-week pilot → rolling monthly

Budget

US$65k–110k (pilot, ex-media)

Industry

Fashion (Fast-Fashion / DTC)

Audience

Gen Z & early-millennial shoppers; trend-seekers

Deliverables

16 × 10–25s variants per drop; 9:16 / 1:1 / 4:5 formats (optimized for weekly collection releases)

Team

Lead Editor, Motion Designer, Color, QC, PM

Compliance

Licensed music; usage rights for models & UGC creators

Business challenge → audience insight

Promo velocity lagged during retail spikes (BTS, Black Friday, Holiday).
Hook rate and mid‑video retention below targets; high revision loops.
Heavy varianting (offers/regions) created bottlenecks and inconsistency.

Audience insight: Shoppers scroll fast; the first 3 seconds must signal value (price + benefit) and trust (brand cues). Motion language needs to be clear, legible, and caption‑first.

Creative & editorial strategy

Story spine: Hook → Payoff → Proof → CTA

Format map: 9:16 primary; 1:1 and 16:9 cutdowns; 15–30s durations; 8–12 variants.
Brand guardrails: Target approved type scales, safe zones, ADA contrast, logo lockups.

AI‑assisted workflow (human‑in‑the‑loop)

Experiment design

A/B tests: hooks (first 3s), caption styles, thumbnails, pacing, grade.
Success criteria: +20% hook rate; +15% AVD; CTR +25%; cycle time −30%.
Sample: ≥ 20 variants across two seasonal drops.

Results & proof (the receipts)

Retention curve (0–60s)

Hook rate (≥3s view %)

CTR (thumb tap‑through)

Average View Duration

Cycle time (ingest → approved)

Reusable playbook (what worked)

Clear value in first 3 seconds: price + benefit + brand cue.
Caption‑first design; bold type; high‑contrast end cards.
Motion language: purposeful cuts; subtle scale; legible supers.
Template sets: LUT pack, caption JSON, motion presets.

Scope, pricing, timeline

Package

Deliverables

TAT

Revisions

Essential

8 short‑form edits + 1:1/16:9 cutdowns

48–72h

2 rounds

Growth

16 edits + variants + thumbnail set

24–48h

2 rounds

Scale

32 edits + variants + motion pack

24–48h

2 rounds

Trust & E‑E‑A‑T

Editor credits: Lead (retail promos), Motion (templated ads), Color (ACES), QC (broadcast).
Author: Inside Editors · Last updated: 2025-09-10
Tool stack disclosure: Premiere Pro, After Effects; AI for transcripts/reframes/denoise/captions with human QC.
Security: NDAs, watermark internal drafts, expiring links, private workspaces.

Key facts (SGE‑ready)

How did we improve retention by 74%? Faster hooks, caption‑first design, and AI‑assisted pre‑cuts enabling more variants.
What AI steps were used? Transcripts, silence cuts, smart reframes, denoise/upsample, auto‑captions—reviewed by editors.
What were the exact results? Retention @30s 71% (from 58%); CTR +32%; cycle time −42%; cost/video −27%.

Ready to move fast?

Rights & safety

We track license IDs for music/fonts/stock, store consent IDs for voice/likeness, and watermark internal drafts.

Turnaround

Short‑form within 24–48 hours; long‑form within 3–5 days.

Revisions

Two rounds standard; more available.

Pricing model

Per‑deliverable packages; volume retainers available.

File retention

90 days by default; long‑term archival available.