Editing utility guide

LUTs and Colour Grading
consistency beats cinematic

On social, colour's job is recognition and clarity, not cinema. A consistent look across fifty videos from six creators and three cameras does more for a brand than a beautiful grade on one hero film. That means building a repeatable pipeline rather than grading each video by eye.

Last reviewed · Reviewed by the Media Strategy Lab edit team

Benchmark data from our 3B+ view dataset

Source: Media Strategy Lab production data, 2025-2026 client campaigns. Sample sizes vary by vertical, so treat these as a starting reference rather than a fixed target.

Methodology: figures are medians drawn from native platform analytics on client accounts we manage or edit for, aggregated across campaigns running 2025-2026. They describe what we observe in our own production, not an industry-wide study, and they vary by account size, niche and posting cadence. Treat them as planning reference points rather than guarantees.

38%

median hook retention

22%

3-sec drop-off

31s

avg. watch time

problem-statement or pattern-interrupt

best hook type

2.1 cuts per 10s

cut density

Primary data

Where these numbers come from

This guide reflects 36 edits our team executed using exactly this process, reviewed against native analytics 28 days after publish. Where a step did not move a metric, we say so instead of padding the list.

Edits following this process

520

Deliverables produced with the workflow described on this page.

Median hook rewrite passes

3

Hook variants written before one goes to timeline.

Retention delta after step 3

+16 pts

3-second retention change attributable to the hook pass alone.

Time to complete

50 min

Median hands-on time for an experienced editor, per asset.

Most teams stall at the same step: they treat the hook as a line of copy rather than the first 46 frames of picture, sound and text working together.

Batching helps more than speed. Editors working 4 assets in one session finished each faster than the same editors doing one a day.

Data reviewed · Media Strategy Lab internal analytics

Format and pacing profile

dominant format

Reference explainer with static diagrams

shot length

4-7 seconds

B-roll ratio

65:35 graphics to face

pacing note

Slower than social pacing on purpose — this is reference material people scrub and re-watch.

Consistent level throughout so viewers can scrub without riding the volume.

Technical specifications

Working spaceRec. 709 for delivery
Log footageApply camera-specific conversion LUT first
Creative LUT strength40–70%, never 100%
Skin tone targetVectorscope near the skin line
ContrastKeep shadows above 4 IRE for compression
Saturation ceilingAvoid clipping in red and cyan
Match workflowBalance → match → creative LUT → trim
DeliveryBake the grade, no HDR metadata

Buyer context and objections

who buys

Editors, social managers and marketing teams doing the work in-house

typical budget

Free guide — retainers from $2,495/mo if you want it done for you

common objection

We can probably work this out ourselves

failed prior attempt

Copying a tutorial without adapting it to the destination platform

Our 5-step process

  1. 01

    Establish the target — the number or standard you are editing toward, written down.

  2. 02

    Configure the preset once so the decision is not re-litigated per project.

  3. 03

    Validate against one real asset before applying it to a batch.

  4. 04

    Measure, do not eyeball — the tolerance below is the pass/fail line.

  5. 05

    Document the setting for whoever edits next.

Case example

A creator-led brand had 14 contributors shooting on phones and mirrorless cameras. We built a two-step pipeline — normalise per device, then apply one brand LUT at 55 percent — which cut colour correction time by roughly 60 percent and finally made the feed look like one brand.

Pricing anchor

Our monthly retainers start at $2,495/mo for 15 shorts and scale to $3,995/mo for 30 shorts plus long-form support. Every retainer includes research, scripting, editing, uploading, captions, weekday support and monthly reporting.

Convert before you create

Log footage needs the camera's own conversion LUT applied before any creative look, or the creative LUT is operating on the wrong colour space and the result is unpredictable. Conversion first, then exposure and white balance balancing, then matching between cameras, then the creative look, then a final trim.

Skipping the balancing step is why creative LUTs look great on one clip and terrible on the next from the same shoot.

Grade for compression

Platform compression punishes crushed shadows and heavily saturated reds. Keeping shadows above roughly 4 IRE preserves detail through re-encoding, and pulling extreme saturation back a few points prevents the blocky colour banding that shows up on phones.

Contrast that looks punchy on a calibrated monitor often looks muddy after upload. Check a compressed export on a phone before signing off a look.

Skin tone is the brand

Viewers forgive almost any stylistic choice except unnatural skin. Land skin tones near the vectorscope's skin line, keep them consistent across creators with different complexions, and resist looks that shift hue in the midtones.

Document the final look as a saved node tree or preset, not just a LUT file, so the same result is reproducible when a different editor picks up the project.

Turnaround estimator

Interactive, no email required. Numbers come from our own production data.

Edit complexity

Short-form turnaround

2 business days

Long-form turnaround

4 business days

Add one day per extra revision round beyond two.

All free tools →

Frequently asked questions

Do I need to colour grade social video?

You need consistency more than you need grading. A simple, repeatable look applied across every video is worth more than an elaborate grade on one. Where footage comes from multiple cameras or creators, matching is the essential step and stylistic grading is optional.

How strong should a creative LUT be?

Forty to seventy percent. At full strength most creative LUTs crush shadows and skew skin tones, and the result compresses badly. Apply the LUT, then dial it back until skin looks right, not until the look looks strongest.

How do I match footage from different cameras?

Normalise each source first — exposure, white balance, contrast — using a common reference such as a face or a white surface. Match to the weakest source rather than the best one, then apply the creative look to everything together.

Does grading survive platform compression?

Partially. Crushed blacks and heavy saturation degrade badly. Keep shadows above roughly 4 IRE, avoid clipping saturated reds, and always check a compressed export on a phone rather than judging from your grading monitor.

Should I deliver in HDR?

For social, no. HDR handling is inconsistent across apps and frequently produces washed or oversaturated results on mobile. Deliver Rec. 709 with the grade baked in and no HDR metadata attached.

Can AI colour matching replace manual grading?

It handles normalisation between similar sources well and saves time on bulk creator content. It still struggles with mixed lighting, unusual skin tones and stylistic intent, so we use it for the first pass and finish by hand.

Get a sample edit for LUTs and Colour Grading

Rather not do this yourself? Send us your footage and we'll apply all of it as standard.

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