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What product analysis does

The "Review what we found" step in onboarding shows the result of running an analysis on your product description and website. The analysis is the foundation for everything Hero Marketer generates downstream: keywords, ad copy, sitelinks, and extensions.

What the analysis contains​

Roughly four things:

Customer profile​

Who's buying your product. Roles, company sizes, industries, locations where relevant. Pulled from what you wrote in the description plus what's on your website.

The customer profile drives:

  • Keyword research relevance weighting.
  • Audience segments referenced in ad copy.
  • Sitelink and extension choices that match the customer's likely interests.

Jobs to be done​

What customers hire your product to do. The "job" framework comes from product strategy work and treats the customer as someone trying to accomplish something specific in their life or work. Your product is one of several ways they might solve that.

Jobs are surfaced as concrete things, not abstract benefits:

  • "Cut the time engineers spend on status updates" — a concrete job.
  • "Improve productivity" — too abstract to be a job.

Jobs drive ad copy. The strongest ads name a specific job and credibly suggest the product solves it.

Category​

Where your product sits in the market. This matters because:

  • Keywords for "CRM" cluster differently than keywords for "project management software".
  • Ad copy norms vary by category. Compliance heavy categories (finance, healthcare) need different framings.
  • Competitor names that come up in keyword research depend on the category.

Objections and answers​

Common reasons a customer might not buy and what your product does about them. Pulled from what your description says and what's on your website.

Objections drive:

  • Sitelink topics. If price is a common objection, a sitelink about pricing shows up.
  • Callout choices. If "no setup time" addresses a common objection, that callout makes the cut.
  • Ad copy that pre empts objections rather than ignoring them.

Why it's worth reviewing​

The analysis is shown to you before being saved. You can refine the description and re run the analysis if it didn't capture something important.

Worth checking:

  • Is the customer profile right? If the analysis describes a different buyer than you sell to, the description was misleading. Fix the description to clarify who actually buys.
  • Are the jobs accurate? Compare against what your customers say in interviews or sales calls. The AI extracts what's in the description; if real customer language differs from the description, the analysis will reflect the description, not reality.
  • Is the category right? A miscategorized product produces irrelevant keywords and extensions.
  • Are objections realistic? If the analysis lists objections that aren't real for your buyer, it's pulling from generic templates rather than your specific positioning.

What the analysis isn't​

  • Not market research. The analysis is derived from what you wrote and what's on your website. It doesn't pull from third party sources, customer interviews, or competitive intel.
  • Not a strategy document. It captures what's already true about your product. It won't tell you what to be.
  • Not static. It updates when you re run analysis after editing the description. Old analyses don't apply to new campaigns; only the current one does.

When to re run​

Re run analysis when:

  • You meaningfully change the product description (new feature, new target, new positioning).
  • You realize the original analysis missed something important.
  • You're seeing campaigns produce off target keywords or copy and want to recalibrate.

Re running costs a small amount of credits. See Update a product for the mechanics.

How it feeds downstream​

Every part of campaign creation pulls from the analysis:

  • Keyword clustering. Relevance to your customer and jobs is weighted in the cluster output.
  • Ad copy generation. Headlines that name jobs, descriptions that address objections, all derived from the analysis.
  • Sitelinks. Topics that match the customer's likely questions and concerns.
  • Hero AI. When you ask about your campaigns, Hero AI uses the analysis to interpret what's working and what isn't.

A weak analysis weakens everything downstream. A strong one makes everything downstream better. The minutes spent writing a thoughtful product description and reviewing the resulting analysis pay dividends across every campaign.