---
title: "12 Winner Google Ads Script Templates for Wan 2.7"
description: "Twelve copy-paste Google Ads video script templates with Wan 2.7 prompts, voiceover hooks, placement recommendations, aspect ratios, and credit estimates."
canonical: "https://aicontentdrop.com/blog/winner-google-ads-video-script-templates-wan-2-7"
source: "https://aicontentdrop.com/blog/winner-google-ads-video-script-templates-wan-2-7"
---
Google Ads video placements reward discipline more than creativity. Bumper wants six seconds, In-Stream wants the hook in two, Shorts wants 9:16 with the product in frame by second one, Discovery wants a clean thumbnail moment. If you're running a winning account, you don't need another framework — you need scripts you can paste, swap variables into, and ship by Friday. That's what this post is.

Below are twelve complete Wan 2.7 templates organized by Google Ads placement. Each one is a full artifact: a Wan 2.7 text-to-video prompt with shot-list timestamps, a voiceover hook sized to the duration, a placement recommendation, an aspect ratio, a duration target, and a credit estimate. Copy, swap, generate, upload. If you want the methodology behind these templates first, start with our [framework post](https://aicontentdrop.com/blog/write-winner-google-ads-script-ai-content-drop) on writing winner Google Ads scripts. If you're starting from a product photo rather than text, see the [image-to-video guide](https://aicontentdrop.com/blog/image-to-video-google-ads-script-ai-content-drop). This post is the templates.

12 Winner Google Ads Video Script Templates — product-hero template in action — generated with Wan 2.7 text-to-video on AI Content Drop.

## How These 12 Templates Work — The Wan 2.7 Ad-Script Anatomy

Every template in this post follows the same structure, and that structure maps directly onto what Wan 2.7 generates well and what Google Ads reviewers approve. The anatomy has six fields:

- The Wan 2.7 prompt.
  
  A shot list with zero-to-X second timestamps, camera moves, subject motion, color grade, lens feel, and palette. Wan 2.7 rewards specificity — we stay under about 120 words per prompt so the model doesn't lose the thread.
- The voiceover hook.
  
  15-28 words depending on duration. Spoken as voiceover in post, never as dialogue (Wan 2.7 doesn't lip-sync). Captions render at ~2.5 words per second.
- Google Ads placement.
  
  Where this script belongs: Bumper, Skippable In-Stream, Non-Skippable In-Stream, In-Feed, Shorts, or Demand Gen.
- Aspect ratio.
  
  16:9 for YouTube in-stream and bumper, 9:16 for Shorts and Demand Gen vertical, 1:1 as fallback for mixed placements.
- Duration.
  
  Sized to the placement. Bumper is 6s exactly; skippable is 15-30s; Shorts is 15s; Demand Gen flexes.
- Credit estimate.
  
  Wan 2.7 runs about 42 credits per generation on AI Content Drop (flat per pass). Longer formats may need two or three stitched passes — flagged per template.

The templates below assume you generate the clip in the [video generator](https://aicontentdrop.com/best-ai-video-generator), add voiceover and CTA text in your editor of choice (Wan 2.7 won't render readable on-screen text), then upload to Google Ads. For context on why Wan 2.7 specifically — rather than Kling, Veo, or Sora — see our [Wan 2.7 review](https://aicontentdrop.com/blog/wan-2-7-review).

## The 12 Winner Templates

Twelve scripts, twelve placement-aspect-duration combos, all built on the same anatomy. Variables are in brackets. Copy the prompt into the generator verbatim, swap brackets for your brand, ship.

### Template 1 — The Pattern-Interrupt Hook (SaaS In-Stream skippable, 15s, 16:9)

*"Wan 2.7 prompt: A sleek modern workspace, 16:9, cinematic. 0-1s: a hand slams shut a laptop in slight slow motion, sharp thud, desk vibrates, scattered papers. 1-4s: camera pulls back slowly revealing [SaaS product dashboard] on a second monitor glowing violet against a dim office. 4-8s: slow push in on the dashboard, subtle data animation, one KPI counter ticks up. 8-12s: hand reaches for coffee, satisfied posture, warm key light from screen-left. 12-15s: wide hold on the workspace, clean product hero moment, space reserved in lower-third for CTA overlay. 35mm lens, teal-and-amber grade, subtle film grain."*

*"Voiceover hook: Closed my other tab for this. [Product] replaced four tools for my team this quarter. Ninety-second demo below — you'll see why."*

**Best placement:** YouTube Skippable In-Stream. The laptop-slam in second one is engineered for the five-second skip decision; viewers who didn't intend to watch stay to see what closed the tab. **Why it wins:** pattern-interrupt at frame zero is the whole game on skippable. Wan 2.7 handles the kinetic desk vibration and the slow push-in equally well, and "dashboard glowing in a dim room" is a scene it renders consistently. Credit estimate: ~84 credits (two Wan 2.7 passes stitched, since 15s exceeds single-generation duration for most settings).

### Template 2 — The Before/After Snap (Fitness/Supplement Bumper, 6s, 16:9)

*"Wan 2.7 prompt: Split-screen 16:9 composition, cinematic fitness ad. 0-1s: left frame shows [target subject] slumped on a couch in desaturated cool light, tired posture, phone in hand. 1-3s: a clean center-frame wipe transitions left-to-right, palette warms to golden. 3-5s: right frame shows same subject mid-stride outdoors at sunrise, athletic apparel, energized, [product bottle] held visible in the hand. 5-6s: camera holds on the bottle as subject smiles into middle distance. 50mm lens, shallow depth of field, warm cinematic grade, no text."*

*"Voiceover hook: Thirty days. One scoop. Same person."*

**Best placement:** YouTube Bumper (non-skippable 6s). The bumper is unforgiving — no room for setup — and a before/after snap lands the entire narrative in five beats.**Why it wins:** Wan 2.7 handles palette shifts and posture transformations cleanly within a single generation, which is exactly what a split-seed bumper needs. Keep the voiceover to seven words or fewer and overlay product name in post. Credit estimate: ~42 credits.

### Template 3 — The Founder-to-Camera (B2B Service Discovery, 20-30s, 16:9)

*"Wan 2.7 prompt: 16:9 medium close-up, documentary B2B ad aesthetic. 0-2s: a [founder] in their mid-thirties, charcoal knit sweater, seated in a warmly lit home office, direct eye contact, subtle breath motion. 2-8s: camera holds, subject gestures with one hand, natural micro-movements, plant behind shifts gently. 8-16s: subtle push in over 8 seconds closing to a tighter framing on the subject's face, a bookshelf visible behind. 16-24s: camera holds on tight framing as subject leans slightly forward, confidential tone cue. 24-30s: subject nods, hand gestures toward lower-third, space reserved for CTA overlay. 50mm lens, soft window light camera-left, slight film grain, neutral palette."*

*"Voiceover hook: I built [company] after spending eleven years on the buyer side of this problem. Here's the one thing every vendor gets wrong — and how we solved it for teams like yours."*

**Best placement:** Demand Gen or YouTube Discovery. B2B service offers convert on trust, not visuals, and Discovery's intent-heavy audience rewards founder voice. **Why it wins:** medium framing is Wan 2.7's strongest zone for faces — close enough to build intimacy, wide enough that hand and mouth micro-errors don't get caught. Subtle motion only: breath, lean, nod. Credit estimate: ~120 credits (three stitched passes for 30s).

### Template 4 — The Unboxing First-Frame (DTC Box YouTube Shorts, 15s, 9:16)

*"Wan 2.7 prompt: 9:16 vertical, overhead top-down shot, unboxing ad. 0-1s: a pair of hands grips the lid of a branded [subscription box] on a light oak table, tissue paper just visible underneath. 1-4s: hands lift the lid slowly, tissue paper parts, contents begin to reveal, diffused natural daylight from above. 4-9s: camera pushes in slightly as hands rearrange contents, a single [hero product] is lifted toward camera. 9-13s: hero product held at center frame, soft rotation revealing label. 13-15s: hands place the product down next to the open box, wide flat-lay hero composition for CTA overlay. 50mm lens, warm neutral palette, clean minimal composition, no on-screen text."*

*"Voiceover hook: We timed this month's box. From open to smile, four seconds. This month subscribers get [hero product] free."*

**Best placement:** YouTube Shorts. 9:16 vertical, top-down framing, fast reveal — the Shorts algorithm rewards ads that feel like organic unboxing content. **Why it wins:** top-down is Wan 2.7's cleanest composition (no face to morph), and tissue-paper motion is inside the model's strength zone. The "hands reveal" beat eliminates any need for subject consistency across shots. Credit estimate: ~84 credits.

### Template 5 — The Numbered Callout (Education/Course In-Feed, 15s, 16:9)

*"Wan 2.7 prompt: 16:9 horizontal, educational ad style. 0-2s: a [course instructor] stands at a modern minimalist studio backdrop, soft two-point lighting, direct-to-camera framing chest up, confident posture. 2-5s: subject gestures with one hand as if counting off a point, subtle lean forward. 5-10s: camera slowly pushes in, subject maintains eye contact, natural breath and gesture. 10-13s: subject turns slightly, gestures toward empty space to their left where numbered callouts will be added in post. 13-15s: subject nods once, holds confident final expression. 50mm lens, neutral cool-warm balanced palette, subtle film grain, no text."*

*"Voiceover hook: Three mistakes I made my first year teaching [subject] — and the one fix that doubled my student completion rate."*

**Best placement:** YouTube In-Feed (video discovery). Numbered-list hooks crush on In-Feed because the thumbnail and first frame promise structured value. **Why it wins:**the script intentionally leaves empty screen space for post-production callouts ("1", "2", "3") so you don't ask Wan 2.7 to render text. The push-in holds attention through the list. Credit estimate: ~84 credits.

### Template 6 — The Pain-Point Cold Open (Health/Wellness In-Stream, 15s, 16:9)

*"Wan 2.7 prompt: 16:9 cinematic, wellness ad. 0-2s: a [target subject] sits at the edge of a bed at dawn, head in hands, cool blue-grey morning light from a curtained window, desaturated palette, subtle exhaustion in posture. 2-5s: camera slowly dollies in, subject looks up, tired eyes catching first warmth of light. 5-9s: a light transition sweeps the room warm, subject reaches for a [product bottle] on the nightstand, palette shifts to golden. 9-13s: subject stands, straightens, steps into a brighter kitchen, holds the product visible at chest height. 13-15s: subject smiles softly into middle distance, warm golden key light, wide product hero hold for CTA. 35mm lens, cinematic teal-to-amber arc, film grain, no text."*

*"Voiceover hook: The mornings I dreaded most are the mornings that changed first. [Product] — for the stretch between sleep and ready."*

**Best placement:** YouTube Skippable In-Stream. Pain-point cold opens clear the five-second skip because viewers recognize the emotion. **Why it wins:** the palette arc (cool to warm) does the narrative work, which is exactly what Wan 2.7 is strongest at. No medical claims in the voiceover — important for health ad policy. Credit estimate: ~84 credits.

### Template 7 — The Product Macro Reveal (Beauty/Skincare Shorts, 10s, 9:16)

*"Wan 2.7 prompt: 9:16 vertical, luxury beauty macro ad. 0-1s: extreme close-up macro of a [serum bottle] standing on wet black marble, single droplet of water clinging to the glass, soft morning light from camera-left, 100mm macro lens feel. 1-4s: slow vertical camera lift, droplet slides down the bottle, light catches the dropper pipette. 4-7s: subtle rotation of the bottle reveals the label, shallow depth of field, pale pink and cream palette. 7-10s: macro tight on the label typography space (text added in post), blurred botanical branch moves gently in background. Cinematic luxury grade, no text rendered."*

*"Voiceover hook: Sold out three times this year. [Product] is back for 72 hours — link in description."*

**Best placement:** YouTube Shorts. Beauty macro content owns Shorts, and a single hero SKU with a sold-out framing is prime thumb-stopper. **Why it wins:** Wan 2.7 is at its highest consistency on macro product hero work — droplets, glass, soft rotations, particle and fluid motion. Stay at 100mm framing; zoom-outs are where it loses coherence. Credit estimate: ~42 credits.

### Template 8 — The Customer-Result Reel (E-commerce Demand Gen, 15s, 9:16)

*"Wan 2.7 prompt: 9:16 vertical, authentic customer-result montage. 0-3s: [customer type] in a sunlit home kitchen, holding [product] naturally, candid smile, warm daylight, 35mm lens, handheld micro-shake. 3-6s: transition to same style subject in a park setting, using [product], natural motion, golden hour backlight. 6-9s: transition to third setting — a cozy home office — another [customer type] smiling while holding [product]. 9-13s: slow push in on a final subject, holding [product] toward camera, warm candid expression. 13-15s: product hero frame against a neutral backdrop, space reserved for CTA. Warm cinematic grade, film grain, no text."*

*"Voiceover hook: Four thousand reviews. One reason people keep coming back. [Product] — made for the way you already live."*

**Best placement:** Google Demand Gen (vertical). Demand Gen rewards social-feed-native content and the three-customer montage reads exactly like a TikTok social proof reel. **Why it wins:** three short subject holds (3s each) stay inside Wan 2.7's consistency window per subject, avoiding the identity-drift that kills longer single-person holds. Credit estimate: ~84 credits (two stitched generations).

### Template 9 — The Time-Savings Visualization (Productivity SaaS Bumper, 6s, 16:9)

*"Wan 2.7 prompt: 16:9 horizontal, kinetic productivity ad. 0-1s: overhead shot of a cluttered desk — six open notebooks, scattered pens, a phone, a mug, warm lamp light. 1-3s: fast time-lapse motion: notebooks close and stack themselves, pens return to a holder, desk clears to a single laptop open to [product] dashboard. 3-5s: camera tilts up from overhead to a clean angle of the laptop, dashboard glowing violet, calm composition. 5-6s: subtle hold on the clean desk with the [product] hero, space for lower-third CTA. 50mm lens, warm cinematic grade, subtle film grain, no text."*

*"Voiceover hook: Six tabs to one. That's [product]."*

**Best placement:** YouTube Bumper (non-skippable 6s). Bumpers live and die on visual punch; a desk clearing itself via time-lapse is a visual idea small enough to land in six seconds.**Why it wins:** fast object-motion time-lapse is inside Wan 2.7's ability when the objects are simple (notebooks, pens, not people). Keep the voiceover to six words. Credit estimate: ~42 credits.

### Template 10 — The Comparison Split (DTC Food/Beverage Shorts, 15s, 9:16)

*"Wan 2.7 prompt: 9:16 vertical, food-and-beverage comparison ad. 0-3s: split frame — left half shows a generic [category] product in dull packaging on a grey surface, cool flat light; right half shows [your product] in its branded packaging on a warm wood surface, golden key light. 3-7s: both frames animate simultaneously — left product sits static while right product is opened by a hand, contents revealed. 7-11s: camera pushes in on the right frame only, contents visible, subtle steam or particle motion if relevant. 11-15s: final hero hold on [your product] center frame, brand colors dominate, space for CTA overlay. 50mm lens, warm cinematic grade, no text rendered."*

*"Voiceover hook: Same category. Different ingredients list. [Your product] is the one your body actually recognizes."*

**Best placement:** YouTube Shorts. Comparison frames convert heavily on Shorts because viewers can hold the contrast in their eye without leaving the feed. **Why it wins:**splits double the information density per second, and Wan 2.7 handles two-zone compositions cleanly as long as each zone has a single focal element. Policy caveat: keep comparison claims to what's on your label; avoid direct competitor callouts. Credit estimate: ~84 credits.

### Template 11 — The Mobile-First Problem Solve (App Install In-Stream, 15s, 9:16)

*"Wan 2.7 prompt: 9:16 vertical, mobile-app ad aesthetic. 0-2s: a [target user] on a couch or commute, staring at a cluttered phone screen (blurred in composition), expression mildly frustrated, warm ambient indoor light. 2-5s: thumb motion on the device, scrolling, frown deepens slightly. 5-9s: subject opens [your app] — screen glow shifts color, face relaxes, posture opens. 9-13s: camera pushes in slightly on the subject's relieved expression, device held naturally. 13-15s: wide vertical composition — subject smiling, device visible, space reserved for app-store CTA overlay. 35mm lens, warm cinematic grade, subtle film grain, phone screen blurred so no text renders."*

*"Voiceover hook: Opened [app], problem solved in under a minute. Free to install. Link below."*

**Best placement:** YouTube Skippable In-Stream, mobile-only targeting. App-install ads with a visible phone in a real-feeling context convert well in-stream because viewers see themselves in the frame. **Why it wins:** keeping the phone screen blurred prevents Wan 2.7 from trying to render app UI text (which it can't do legibly). The emotion arc — frustrated to relieved — is inside its strength zone at medium framing. Credit estimate: ~84 credits.

### Template 12 — The Authority Demo (B2B Enterprise Discovery, 30s, 16:9)

*"Wan 2.7 prompt: 16:9 cinematic enterprise ad aesthetic. 0-3s: wide establishing shot of a modern office floor, soft overhead lighting, a few professionals working at clean workstations, minimal motion. 3-8s: camera pushes through the space, steady gimbal movement, toward a central conference area where [executive persona] stands near a large display. 8-16s: the display shows [product dashboard] (kept blurred for text), executive gestures toward it, turns to face camera. 16-22s: camera holds on the executive in medium close-up, confident gesture, warm window light behind. 22-28s: subtle push in, executive nods, professionals continue work in the background out of focus. 28-30s: final wide hero of the office space, space reserved for CTA overlay. 35mm lens, premium cinematic grade, subtle film grain, no text."*

*"Voiceover hook: Nine of the top twenty firms in [industry] run their [function] on [product]. Request a technical briefing — thirty minutes, no slides, your questions."*

**Best placement:** YouTube Discovery, Demand Gen (desktop emphasis). Enterprise B2B needs scale cues — office floor, dashboard, executive presence. Discovery's intent audience is primed for technical authority. **Why it wins:** Wan 2.7 handles architectural interiors and slow gimbal pushes well, and keeping the dashboard blurred respects its text limits. Thirty seconds is the upper bound for single Wan 2.7 scripts — stitch three 10s passes. Credit estimate: ~120 credits.

## How to Swap Variables Without Breaking Templates

The twelve prompts above are templates, not one-shots. You should be swapping product, persona, industry, and hook. Six rules for doing that without losing what made each script work:

- Keep the placement anchor locked.
  
  If a template is marked Bumper 6s, don't extend it to 15s — the narrative arc is engineered for six beats. Pick a different template for a different duration instead of stretching one.
- Preserve the timestamps.
  
  Wan 2.7's rails are the 0-Xs markers. Swap subjects and products freely but keep the camera-move timing intact. "Slow push in 1-4s" is what the model locks onto.
- Don't prompt for on-screen text.
  
  None of the twelve templates ask Wan 2.7 to render text, and yours shouldn't either. Reserve space in the composition (lower-third, empty wall, blurred screen) and overlay the CTA in post.
- Match voiceover word count to duration.
  
  About 2.5 words per second of screen time. A 6s bumper gets 10-15 words max; a 15s ad gets 25-28 words; a 30s authority piece gets 60-70. Cut ruthlessly.
- Keep named subjects to four max.
  
  Wan 2.7 handles one or two people cleanly, three at a stretch, four as a ceiling. Supporting cast should be crowd-blur or background.
- Don't swap the aspect ratio mid-template.
  
  A 9:16 Shorts template won't survive a recrop to 16:9. If you need both orientations, generate two separate passes from the matching templates instead.

## Aspect Ratio and Duration Guide for Google Ads Placements

Quick reference for which templates map to which placements. Google Ads accepts a wider range than what actually performs — this table reflects what clears and what lands.

| Placement | Aspect Ratio | Duration | Skippable? | Best Templates |
| --- | --- | --- | --- | --- |
| Bumper | 16:9 | 6s exact | No | 2, 9 |
| Skippable In-Stream | 16:9 | 15-30s | Yes (after 5s) | 1, 6, 11 |
| In-Feed / Discovery | 16:9 or 1:1 | 15-30s | N/A (click-to-play) | 3, 5, 12 |
| YouTube Shorts | 9:16 | ≤60s (15s sweet spot) | Swipeable | 4, 7, 10 |
| Demand Gen | 9:16, 1:1, 16:9 | Flexes | Varies by surface | 3, 8, 12 |

Notice that only templates 2 and 9 are bumpers. Six seconds is brutally short — most of the twelve templates need more runway. If bumper is your entire spend, generate both and A/B test them. Everything else should flex into its matched surface.

## Credit Math for a 12-Ad Test Batch

Running the full twelve as a single test batch is the fastest way to see which Google Ads placement lands for your brand. Each template is roughly one Wan 2.7 pass at 42 credits (for 5-10s clips) or two-to-three stitched passes for longer formats. Rough breakdown:

- Single-pass templates
  
  (2, 7, 9): ~42 credits × 3 = 126 credits
- Two-pass templates
  
  (1, 4, 5, 6, 8, 10, 11): ~84 credits × 7 = 588 credits
- Three-pass authority templates
  
  (3, 12): ~126 credits × 2 = 252 credits
- Batch total:
  
  ~966 credits for all twelve finished videos

If you only need ship-now assets for a single placement, cut the batch to three templates mapped to that placement — typically ~200-250 credits. Most accounts start there, then expand after seeing which angles lift.

Tier math: Starter at $19 covers about a third of the full batch — good for a targeted 3-4 template spike. Professional at $49 covers the full twelve with headroom for re-rolls. Ultra at $99 handles multiple full batches per month and is what most serious Google Ads accounts land on. Enterprise Max at $299 runs agency-scale testing across multiple clients. See the full tier comparison on the [pricing page](https://aicontentdrop.com/pricing).

## When These Templates Won't Win

Honest limits. There are four situations where these twelve templates are the wrong starting point:

- Regulated verticals with strict claim requirements.
  
  Supplements, financial services, and health ads need specific on-screen disclaimers. The templates above reserve space for overlay CTAs, but if your legal team requires FDA-style footer claims throughout, work with a template post-production flow rather than generating longer clips.
- Ads requiring a specific real-world location.
  
  If you need a recognizable landmark, a named retailer interior, or a trademarked competitor setting, Wan 2.7 will produce plausible but not accurate imagery. Shoot on location or license stock.
- Talking-head dialogue ads.
  
  Wan 2.7 does not lip sync. Any ad that needs specific spoken words synced on-camera belongs in a UGC avatar workflow (InfiniteTalk on
  
  AI Content Drop
  
  ), not Wan 2.7.
- Single-hero product shots that need exact packaging.
  
  Wan 2.7 generalizes product detail well enough for most categories but can't reproduce trademark-accurate labels. For regulated SKUs or premium brand fidelity, start from a real product photo and use image-to-video — see our
  
  I2V guide
  
  for the full workflow, or the
  
  Kling 2.6 image-to-video scripts
  
  for ten seed-driven variations.

## FAQ

### Can I use these templates on Google Ads without Google Ads approval issues?

Every template above is written to clear Google Ads creative policy — no text rendered in the video, no medical claims in the voiceover, no direct competitor callouts. You're still responsible for industry-specific claim compliance in your voiceover and overlay. For health, finance, and gambling categories, run your voiceover past your compliance team before generating.

### Why Wan 2.7 specifically and not Veo or Sora for Google Ads?

Wan 2.7 sits at the best cost-per-usable-clip for Google Ads workflows right now — around 42 credits per clip, consistent output across the shot types above, and reliable at 16:9 and 9:16. Veo 3 Fast is strong but costs meaningfully more per generation; Sora is strong but gated differently. Our [Wan 2.7 review](https://aicontentdrop.com/blog/wan-2-7-review) covers the trade-offs in detail. Nothing stops you from generating the same template on Veo 3 or Sora for a higher-budget placement — the scripts are model-portable.

### Do I need the full methodology before using these templates?

No — that's why this is the templates post. If you want the methodology first, our [framework post](https://aicontentdrop.com/blog/write-winner-google-ads-script-ai-content-drop) explains how to write winner Google Ads scripts from scratch. Most operators skim that once and then live in the templates.

### Can I iterate on these templates inside Chat-to-Ads rather than the generator?

Yes, and it's often faster for swap work. Drop any template into the [Chat-to-Ads Studio](https://aicontentdrop.com/) with a line like "adapt Template 7 for a men's fragrance brand" and the system will rewrite variables while preserving the camera-move structure. Good for round two through ten after you've picked a winner.

### What if I need a 30s Shorts cutdown from a 15s template?

Don't scale the template — pick a different one. Shorts over 15s almost always underperforms because the algorithm rewards completion rate and swipe-through. If a placement genuinely requires 30s vertical, use Template 8 (Customer-Result Reel) which was structured for multi-subject density, or stitch two matched 15s templates.

## Ship the Batch

Twelve templates, five Google Ads placements, about 920 credits for the full batch. Open the [video generator](https://aicontentdrop.com/best-ai-video-generator) with a template in your clipboard, swap the bracketed variables for your brand and offer, generate, and run the output through your voiceover and editor stack. Upload the matched-aspect-ratio export to the matching Google Ads placement and let the data tell you which three to scale.

If you want to iterate conversationally rather than paste and run, every template drops cleanly into the [Chat-to-Ads Studio](https://aicontentdrop.com/) for variant generation. The hard work on Google Ads video isn't generation anymore — it's structure, and these twelve give you twelve winning structures to start from.

### About the Author

This artifact drop was assembled by the AI Content Drop paid media team. We ship Wan 2.7 video creative into Google Ads accounts across SaaS, DTC, B2B, and health verticals every week, and these twelve templates are the structures that consistently clear placement, policy, and performance bars. Questions about adapting a template to a specific offer? Reach us through the [Chat-to-Ads Studio](https://aicontentdrop.com/).