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    Platform-Native AI

    Value-Based Bidding

    Roman Kuzmych
    May 27, 2026

    Value-based bidding is bidding toward conversion value rather than conversion count — telling the platform's AI what each conversion is actually worth so it chases revenue or profit instead of cheap volume.

    Definition

    Instead of 'get me conversions under $40,' value-based bidding (Target ROAS, Maximize Conversion Value, and their equivalents) optimizes toward the values you pass: order revenue, margin-adjusted value, predicted LTV, or lead scores. The mechanics are only as good as the values — passing flat or inaccurate values makes the strategy indistinguishable from volume bidding, just with extra steps.

    Why it matters

    Volume-optimized accounts systematically drift toward the cheapest converters, which are rarely the best customers. Value-based bidding is how a business's actual economics get into the auction — and the plumbing (value rules, offline conversion imports, LTV models) is where most implementations quietly fail.

    In agentic execution

    Adlyse's agents execute the value plumbing and its upkeep — value rules, goal changes, target adjustments as economics shift — so the platforms bid on numbers that reflect the business, with a human approving every change.

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