Topview Batch Mode: How to Generate 80 Ads Without Manual Work

The bottleneck in paid social advertising for e-commerce brands isn’t budget — it’s creative production. Most brands have more products worth advertising than they have the capacity to create ads for. The result: the 80/20 rule applies to advertising spend by default. You advertise the top sellers because those are the products you made ads for.

Topview’s batch generation changes this. Here’s how to use it to produce 80 ads without treating each one as a manual project.

What Batch Generation Actually Does

Batch mode in Topview isn’t just “generate multiple ads.” It’s a production pipeline that handles:

1. Input ingestion: Feed product URLs or a product data spreadsheet — Topview scrapes product images, descriptions, and key features for each SKU
2. Script generation: For each product, the AI writes multiple ad scripts with different hooks and angles
3. Video production: Each script-to-video pipeline runs in parallel — you’re not waiting for ad 1 to finish before ad 2 starts
4. Format variation: Each product can generate output in multiple aspect ratios (9:16, 4:5, 1:1) simultaneously
5. Export: Completed videos are available for download in batch

The end result: you configure the batch once and return to a folder of completed ads.

Step 1: Prepare Your Product Data

For the cleanest batch output, prepare your product inputs before submitting:

Option A: URL list The simplest input is a list of product page URLs. Paste them into Topview’s batch interface or upload as a text file. Topview handles the scraping.

URL input works best when your product pages have:

• Clean product titles that include the key benefit or descriptor
• At least 3–5 high-quality product images
• Structured product descriptions with clear feature points
• A clear primary use case or target customer described in the page

Option B: Spreadsheet import For more control, prepare a CSV with columns for:

• Product name
• Product URL (for image scraping)
• Key selling points (3–5 bullet points per product)
• Target audience description
• CTA preference (Shop Now, Learn More, Get 20% Off, etc.)

The spreadsheet input lets you provide structured information that the AI uses to write better, more specific scripts — rather than relying on the AI to extract the right emphasis from the product page.

Step 2: Configure Your Style Settings

Before running the batch, set the style parameters that apply across all ads:

Brand voice settings: Formal/authoritative vs. casual/conversational vs. energetic/aspirational. Set one that applies to the whole batch, or create multiple batches with different brand voices if your product catalog spans different positioning targets.

Visual style: Select a visual template or style direction that applies across the batch. Consistency in visual style across your ad set makes your advertising recognizable as a brand rather than a collection of unrelated ads.

Avatar or no avatar: Decide whether ads include an AI presenter avatar (works well for products that benefit from testimonial-style presentation) or are product-visual only (works better for products that should sell themselves visually).

Duration: 15, 30, or 60 seconds. Performance marketing data consistently shows 15–30 second video ads outperform longer formats for most direct response campaigns. Set 15–30 seconds for most batch work.

Aspect ratios to generate: If you’re running on Meta (9:16 Stories + 4:5 Feed) and TikTok (9:16), configure all three and the batch produces each ratio for each product simultaneously.

Step 3: Submit and Queue

Submit the batch. Depending on the size:

• 20 products × 3 aspect ratios = 60 videos: approximately 1–2 hours
• 40 products × 3 aspect ratios = 120 videos: approximately 3–4 hours
• 80 products × 2 aspect ratios = 160 videos: approximately 5–8 hours

You don’t need to be present during processing. Submit the batch, do other work, and return when it’s complete.

Step 4: Quality Review

With 80+ ads, manual review of every frame isn’t practical. Efficient batch review:

Spot check 10–15% of outputs: Select products randomly from different parts of the catalog and review these fully. If the spot check shows consistent quality, the batch is likely fine. If issues appear, check the source product data for those items.

Flag common issues:

• Wrong product images: Sometimes scraping picks up related product images rather than the primary product. Fix the URL or provide explicit image paths in the spreadsheet.
• Off-brand copy: If the AI wrote copy that doesn’t match your brand voice, refine the brand voice settings and regenerate affected products.
• Missing key selling points: If the AI script missed an important feature, add it to the spreadsheet’s selling points column and regenerate that product.

Regenerate individually: Products with issues can be regenerated individually without redoing the whole batch.

Step 5: Upload and Test

With 80 ads ready:

Don’t launch all 80 at once. The batch is a library, not a launch plan. From the 80, select:

• 3–5 products to launch first (your proven bestsellers or featured campaign products)
• 2–3 ad variations per product (different hooks or formats)
• Launch as a structured test with budget allocation to each variation

As winners emerge, promote spend to the top performers. As you add more products to your active campaigns, draw from the batch library rather than waiting for new production.

The Catalog Coverage Argument

The real value of batch production isn’t just scale — it’s catalog coverage. When your entire product catalog has video ads:

• Long-tail products that would never have warranted individual production now have coverage
• Remarketing campaigns can run product-specific ads for every viewed product
• Seasonal campaigns can activate dormant products without new production
• Your competitors are probably advertising fewer products

Start generating with Topview and run your first product batch. See the full Topview overview and find all current deals at aivideodiscount.com.