Using Gemini 3 To Create a $1,000,000+ Marketing Campaign!
Integrating advanced text LLMs like Gemini 3 with specialized image models streamlines the end-to-end creation of commercial video ad pipelines.
What this lesson covers
The creator demonstrates how to use Gemini 3 to build an extensive marketing plan and prompt generation pipeline for e-commerce products. They then show how to combine Midjourney and Nano Banana to generate consistent product imagery and video creatives.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:27 ↗
Gemini 3 can be utilized to generate comprehensive marketing strategies, headlines, and specific video generation prompts for workflows.
- 04:53 ↗
Generating a human model before adding the product helps maintain character consistency across multiple shots.
- 05:18 ↗
Nano Banana is highlighted as an effective model for accurately placing specific products into a subject's hands.
- 06:47 ↗
Creating ads with diverse model demographics allows paid media algorithms to better match target audiences.
Workflow outlined in the video
- Input your product details and target audience into Gemini 3 to request a full marketing and prompt strategy.
- Generate a consistent human model first using Midjourney or a preferred image generator.
- Use Nano Banana to composite your product accurately into the model's hands.
- Take the generated image assets and animate them using video generation tools like Veo 3.1.
- Deploy multiple demographic variants of the ad creative across paid social media platforms.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
5,052 views captured 24 October 2026. ReelStack recommendation score: 38/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 1.54× views vs 7 other channel videos observed at a similar age. View-evidence factor 83% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 48/100; likes + 4× comments, smoothed with a 500-view neutral prior