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hookchain
AppsSocial proofLanguage-learning apps15s · 9:16Best on Gemini Omni Flash

Four thousand reviews said the same thing

A careful researcher scrolls a wall of app-store reviews that all mention the same thing, shows the kanji-writing drill they're talking about, and reads one review out loud.

Example product
Kotobox — A Japanese app built around writing kanji by hand on the screen, with stroke-by-stroke feedback
Audience
Adult self-learners who keep forgetting kanji
Creator
Methodical researcher who reads every review, early 30s

Variables — swap these for your product

{{APP_NAME}} = Kotobox{{REVIEW_COUNT}} = Four thousand{{RATING}} = 4.8

01 · hook

The review wall

0–3s

“{{REVIEW_COUNT}} reviews all say one thing.”

Vertical 9:16 handheld selfie video, close-up. A 31-year-old Tamil woman with warm brown skin, long black hair in a low bun, round tortoiseshell glasses, mustard ribbed turtleneck and a small silver nose stud holds an iPhone right up to the lens; the screen shows app-store reviews scrolling fast. She pulls the phone aside to reveal her face, one eyebrow raised, and says: "{{REVIEW_COUNT}} reviews all say one thing." Behind her, a whiteboard covered in pastel hiragana sticky notes in a home office. Soft afternoon window light from the right, natural skin texture, shot on iPhone front camera, unpolished. No captions or on-screen text.
duration
3 s
aspect ratio
9:16
resolution
720p · 24 fps
audio
always on — normalise to −14 LUFS in the edit
image urls
creator, screen, setting (guides look, doesn't lock frame 1)

Shot list

  1. 0.0–1.2sECU, phone in lens. Reviews scroll fast; composite your real store page
  2. 1.2–3.0sCU. Phone slides aside, eyebrow raise, line

On-screen text (overlay in edit)

4,000 reviews. Same sentence. 👀

Audio

Fast scroll whoosh, then voice; no music yet

02 · demo

The thing they mean

3–8s

1 shot, 3 model prompts, settings and captions in the full library.

Unlock

03 · proof

One review, read aloud

8–12s

1 shot, 3 model prompts, settings and captions in the full library.

Unlock

04 · cta

Go read them

12–15s

1 shot, 3 model prompts, settings and captions in the full library.

Unlock

Launch offerLaunch pricing ends Sunday

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Demo, proof and CTA prompts in three model dialects, settings, shot lists, captions and reference-image guidance — for every chain in the edition, plus 30 sample ads.

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Why it works

Leading with a review count borrows trust before the viewer has decided anything, and framing it as 'they all say one thing' turns social proof into a curiosity gap. The demo pays it off in five seconds, and quoting a single real review makes the number human.

Hook variants to A/B test

  • “I read every one-star review first. There weren't many.”
  • “Why do thousands of people say this app is the one they didn't quit?”
  • “Same sentence in review after review.”

Reference images

  • creator

    Creator in mustard turtleneck and tortoiseshell glasses, shoulders up, soft side light

  • setting

    Home office with a whiteboard of pastel hiragana sticky notes, plant, window to the right

  • screen

    Your store review page, the kanji drill mid-stroke, and one real five-star review, 9:16

  • endcard

    App icon, rating and store badges

Creator look (paste into your image model)

Woman, 31, Tamil, warm brown skin, long black hair in a low bun, round tortoiseshell glasses, mustard ribbed turtleneck, small silver nose stud. Home office in the afternoon, whiteboard behind her covered in pastel sticky notes with hiragana, desk plant, soft window light from the right.

Model notes, last verified 2026-10-16: Provisional: written to Kling 3.0 conventions (3.0-compatible) until 4.0 publishes its own. 3, 5 or 10 s only; audio always on; add captions in post.

Related chains

More social proof →

Launch pricing ends Sunday

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