Approve the business case before the channel
A CTV proposal should begin with the outcome the business is funding, not a platform list. Is the campaign intended to add unduplicated reach, improve attention among a defined household audience, support consideration, or generate measurable response? The whitepaper positions CTV as capable of bridging brand and performance, but that does not mean every plan should promise every outcome. One primary objective gives the forecast and measurement plan a stable center.
Translate that objective into a decision statement that finance and marketing can both read. For example: approve this plan if it can extend qualified reach beyond linear within the agreed cost range while preserving a controlled exposure level. Supporting metrics may include completion, site activity, brand lift, or conversion, but they should not compete for priority. If the plan cannot name the decision it will change, it is not ready for approval.
Make every screen earn a distinct role
The paper's three-layer convergence model assigns linear television to broad reach, CTV to premium household precision, and mobile OTT to frequency and response. An approval document should show how the proposed plan uses those strengths. If linear is already reaching older or mass audiences, CTV should explain which lighter-TV or addressable households it adds. If mobile is included, its role should be explicit rather than treated as leftover video inventory.
Review the audience definition at the same time. Specify geography, language, household or person-level targeting, exclusions, available first-party data, and any limits on identity matching. A platform's targeting label is not an audience strategy. Approvers need to know how a household enters the eligible pool, how existing customers or exposed users are handled, and whether the same definition can be reproduced in measurement.
Challenge the forecast and its failure modes
A credible forecast exposes its assumptions: CPM basis, fees, inventory availability, deduplication method, overlap with other channels, expected reach curve, frequency cap, and campaign duration. Ask for conservative, base, and expansion cases. The goal is not to force certainty where none exists. It is to identify whether the recommendation still makes sense when supply tightens, overlap rises, or cross-platform identity performs less cleanly than planned.
Approval should also define delivery tolerances. Decide what happens if the cap prevents full spend, a premium publisher underdelivers, or the audience pool proves smaller than estimated. The buying team might broaden supply, extend dates, relax a nonessential filter, or return budget. Those actions should be ranked in advance. Pre-agreed fallback rules keep optimization from becoming an unreviewed change in strategy.
Join measurement and supply protection
The measurement plan must match ecosystem maturity. The paper describes a move from GRPs and panels toward impressions, deduplicated reach, attention, frequency management, attribution, and outcomes, while warning that attribution has not fully caught up everywhere. Approvers should distinguish directly observed metrics from modeled ones and brand evidence from deterministic response. A metric should not be accepted merely because a dashboard displays it.
Supply quality deserves equal weight. Record authorized supply paths, publisher or app requirements, invalid-traffic controls, device or inventory verification, content exclusions, and escalation ownership. Programmatic efficiency is only valuable when the purchased exposure is real and suitable. Finance is approving effective media, not nominal impressions, so quality losses and technology fees should be visible in the cost model.
Use stage gates and a signed decision record
A lightweight gate model prevents endless review. Strategy approval confirms the objective and screen roles; design approval confirms audience, creative, supply, forecast, and measurement; launch approval confirms tags, controls, and owners; scale approval uses live evidence. Each gate should have one accountable approver and a short list of conditions. Comments can remain open, but a condition that changes risk, cost, or claimed outcome must be resolved.
The final record should capture what was approved, what remains uncertain, and what triggers reconsideration. That includes budget bounds, audience definition, supply list, frequency rule, success threshold, reporting cadence, and stop or scale conditions. This is not bureaucracy for its own sake. It lets teams learn from comparable decisions and prevents a campaign from being judged later against expectations that were never agreed.
| Gate | Approval question | Required evidence |
|---|---|---|
| Strategy | Is CTV solving a named business and audience problem? | Objective, audience, screen roles |
| Design | Is the plan deliverable and measurable? | Scenario forecast, supply plan, creative map, measurement design |
| Launch | Are controls and owners operational? | Tag test, cap settings, quality checks, escalation contacts |
| Scale | Does observed evidence justify more spend? | Reach, frequency, quality, outcome, and variance review |
Decision implication
A strong approval framework does not remove uncertainty from CTV. It makes uncertainty reviewable and assigns an owner to each important decision. With a clear objective, screen-role logic, scenario forecast, measurement design, supply controls, and stage gates, marketing and finance can approve the same plan for the same reasons.
Download the full Connected TV Advertising whitepaper to explore the convergence model, maturity stages, and market playbooks informing this framework.
Use a PyxiVisio decision-intelligence model to connect assumptions, delivery, economics, risk and approval conditions.