This use case is designed for marketing teams managing fixed monthly or quarterly budgets across multiple channels where channel performance and economics can change before the planning cycle ends.
It is especially relevant for marketing leaders who need to decide where to increase, reduce, or maintain spend based on incremental return, while keeping total marketing investment unchanged.
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Channel economics can change after budgets are already committed.
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High ROAS does not always indicate high incremental return.
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Performance data is fragmented across platforms with different measurement rules.
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Pricing, promotions, seasonality, and baseline demand can influence reported channel performance.
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Teams lack a consistent way to evaluate the impact of moving budget between channels.
Optivos provides a decision framework that evaluates changing channel economics and models the commercial impact of reallocating existing budget.
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Measure incremental and causal impact across channels.
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Connect media performance with sales, pricing, and promotions.
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Incorporate seasonal, market, and historical demand signals.
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Simulate budget shifts based on marginal returns and expected incremental revenue.
A modeled $180K shift from paid search to retail media was estimated to generate $310K more incremental revenue over 12 weeks.
The scenario reallocates existing budget between channels while keeping total marketing investment unchanged.
The proposed allocation was evaluated against the existing plan to estimate the expected change in incremental revenue.