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The clear second-order beneficiary is the identity and first‑party data stack — vendors that can stitch login, email and deterministic identifiers will see faster pricing power as advertisers pay up to avoid inefficient spend. Expect programmatic match rates to drop materially in pockets (we model a 10–25% effective audience shrink for cookie‑heavy campaigns over 6–18 months), which raises CAC and reallocates budgets toward walled gardens and deterministic providers. Publishers that can convert casual readers into logged‑in users or subscribers will capture a larger share of ad dollars and reduce churn risk; those relying on blind third‑party targeting face margin compression and higher yield volatility. This also creates a short‑to‑medium term arbitrage: ad networks and exchanges that can’t rapidly integrate identity graphs will see CPMs and take rates decline while identity vendors’ ARR multiples expand and become M&A targets within 12–24 months. Policy, UX friction and technology are the main toggles: state definitions of “sale/sharing” and default opt‑out flows can drop addressable audiences by an incremental 5–15% in short order, while adoption of privacy‑preserving APIs or consolidated identity standards could restore much of the lost efficiency within 9–18 months. Track KPIs: publisher logged‑in revenue share, enterprise match rates, and advertiser CPM inflation — these will be the earliest and most reliable signals of re‑pricing.
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