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Sales, Marketing & SupportAny

Build a paid ad campaign from scraped brand and competitor data

An agent scraped a jewelry brand's site for SKUs and social media for buying patterns, analyzed competitor ads, and generated a paid campaign with image and video concepts.

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Time saved
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Setup time
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Running cost
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Cost range
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Use case overview

An agent scraped a jewelry brand's site for SKUs and social media for buying patterns, analyzed competitor ads, and generated a paid campaign with image and video concepts.

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Reported experience

  1. What they did

    The agent received the jewelry brand website and social media accounts. It scraped product SKUs from the site, reviewed social posts to map buyer decision patterns, and examined competitor ads for performance signals. It then produced image and video ad concepts for a full paid campaign. The hack was built by Panterra0x and run via the heyseal.ai link.

  2. How it went

    It delivered a complete paid ad campaign for the small Tokyo jewelry brand in one pass. Competitor analysis alone replaced about three days of manual digging.

  3. Worth knowing

    The hack is available to run on any ecom store at the heyseal.ai link.

Example prompts

Try with Manus
Scrape [brand website] for its products and pricing, and look at its social media for what customers respond to. Analyze ads from [3 competitors] using public ad libraries. Then draft a paid campaign for [platform] with audience targeting, ad copy, and image and video concepts. Finish with a campaign brief, and do not publish or spend anything.

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