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Supersearch
Compare Low and High Performing Prospect Products
Cold email prompt example for product-led outreach that identifies underperforming SKUs and contrasts them with a brand’s top seller. This prompt instructs the AI to visit the prospect’s website (property_2), scan their product catalog, and select a non-highlighted, non-classic product that is clearly not the best seller. It then compares that “bad product” with the most sold or most popular “good product,” using cues like popular among others, best seller badges, or low stock indicators. The output is a concise outreach line that reads: Noticed that (bad product) wasn't selling as good as (good product). Have you ever thought of publishing (bad product) on Amazon? It avoids quotation marks as specified.B2B sales and marketing teams can use this B2B sales prompt to quickly personalize cold emails at scale, spotlighting concrete product insights that resonate with ecommerce and DTC brands. The workflow combines lightweight AI sales research with on-site product analysis, enabling relevant talking points for outbound, prospecting, and account-based outreach. It is especially valuable for B2B lead generation, as it turns product performance gaps into a compelling value hook for marketplace expansion, merchandising, or ad optimization offers.Ideal for SDRs and growth marketers running high-volume campaigns, this outbound prompt for prospecting ensures each message is specific, credible, and actionable—boosting reply rates without heavy manual research. Note: If the input is provided in another language, the tool recognizes the original language and still generates the final description in English only.
AI Prompt Preview
Visit prospects {{property_2}} and find one of their products. Never the best selling product though. Then compare it with their best selling product. We call product one (bad product) and product 2 (good product)If I were to do this manually I would search their whole {{property_2}} through, and find one of their products that isn't highlighted, and then finding the most sold product (you can look for "popular among others" or "few in stock" etc.). Never point out any classic products like "classic white t-shirt, or classic grey hoodie" Write it like this:Noticed that (Bad product) wasn't selling as good as (good product) Have you ever thought of publishing (bad product) on Amazon? AVOID USING "" when you call out (bad product) and (good product)
14,248 runs
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“My template combines personalized messaging with a structured follow-up sequence that has proven to be very successful.”
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