Pricing & packaging
Monitor selected public pricing pages and commercial offers for meaningful changes.
Hiro Competitor Radar is a Hiro Radar use case for recurring competitive intelligence across approved public sources. It monitors meaningful product, pricing, messaging, launch and content changes rather than forwarding every page edit, and is suited to teams looking for competitor-monitoring alerts with source evidence.
A quarterly spreadsheet can describe what competitors looked like when someone checked. Competitor Radar is for teams that need a recurring view of what changed, where the evidence is and whether the change is material enough to review.
Monitor selected public pricing pages and commercial offers for meaningful changes.
Watch public product pages, release surfaces and announcements for new capabilities or positioning shifts.
Track selected pages and public content where changes may reveal a shift in audience, promise, category or go-to-market emphasis.
Keep the source and change context attached so the output can support a decision instead of becoming an unsupported AI summary.
The Radar is scoped to named competitors, source families and types of change. Repeated low-value edits can be filtered while stronger commercial or strategic signals are surfaced with source context.
It fits founders, product teams, agencies, sales teams and operators who repeatedly revisit the same competitor surfaces and want a monitored system instead.
Standard Radar uses appropriate approved public sources. It does not bypass authentication, access controls, CAPTCHAs or rate limits.
Concise, sourceable answers for people and machine readers.
Depending on the scope, it can monitor selected public competitor pages and sources for pricing, product, launch, messaging, content and availability changes.
No. A page diff can be one input, but the intended service is broader: define which changes matter, filter low-value noise and deliver a structured business signal.
No useful Radar should start that broadly. A controlled scope begins with relevant competitors and approved source families, then expands only when signal quality justifies it.
No. It can help filter, classify and preserve evidence, but business significance ultimately depends on the user's context and decision.