FollowReads
A sponsorship-planning data product that combines authorized creator first-party aggregates with licensed audience-affinity sources, explains brand-fit evidence, and produces reviewable price ranges and assumptions rather than individual tracking or an automatic rate card.
The research confirms established audience-research products, one documented domain-affinity interface, and a free public web corpus. It did not find a reviewed product that turns creator-specific off-platform affinity into a sponsorship price recommendation. Two of three proposed interfaces remain unverified and no structural incumbent copying cost is evidenced.
FollowReads must not identify, follow, or enrich individual audience members across sites without a valid basis and appropriate notice. It should not infer protected, sensitive, health, political, religious, financial, sexual, immigration, union, child, or precise-location attributes. Audience fit is a bounded aggregate observation, not proof of identity, intent, purchasing power, brand safety, conversion, or causality.
Pricing should remain a scenario built from creator-approved commercial history, inventory, format, usage rights, exclusivity, term, distribution, production work, audience evidence, uncertainty, and buyer inputs. The creator or authorized representative sets the offer; the product never guarantees a rate, campaign outcome, or fair-market value.
Creator managers, sponsorship sales teams, agencies, and brands that need explainable audience-fit evidence and consistent negotiation scenarios.
Current audience tools and visible demand for collaboration pricing create a timely wedge.
Creator managers, agencies, and brand partnership teams own sponsorship planning and negotiation.
Audience-research products and a separate pricing-demand signal support the combination without proving a mature category.
The creator-commercial buyer, confirmed affinity data, fragmented sponsorship pricing, aggregate evidence model, and feedback from reviewed deal outcomes make a concrete planning wedge.
Two proposed interfaces remain unverified, data rights and privacy are difficult, audience products can copy pricing features, and sponsorship outcomes are noisy and noncausal.
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