Introduction
I would first update the company and product context. Omnicom completed its acquisition of Interpublic on November 26, 2025. On January 7, 2026, it introduced the new Omni, which integrates Acxiom, Interact, Flywheel Commerce Cloud, and Omni's expanded agentic AI framework in one marketing-intelligence operating system. IPG and Interact therefore belong to the case's legacy context; any current gap must be checked against Omni. (Omnicom acquisition completion; new Omni announcement)
The public KINESSO evidence is regional. Its UK and Ireland pages describe audience-led programmatic buying and performance planning, including experimentation and budget optimization, but they do not establish the exact global or client-specific platform in this prompt. (KINESSO UK&I programmatic; KINESSO UK&I performance planning) In an interview, I would scope this as a legacy-IPG programmatic scenario, audit current Omni and relevant KINESSO UK&I capabilities, and propose a new workflow only if that audit confirms a gap.
The goal should be narrower than “add features”: improve a defined advertiser outcome without weakening measurement quality, privacy, brand safety, or operator control. That matters because IAB's 2026 measurement research highlights fragmented data, signal loss, privacy constraints, and difficulty connecting media exposure to outcomes. (IAB State of Data 2026)
Step 1
Clarifying Questions
Why it matters: each has different users, data, and failure modes.
Why it matters: the buyer of the service and the daily operator may need different controls.
Why it matters: optimizing a proxy such as clicks can conflict with the actual objective.
Why it matters: a useful proposal must fit the real inventory and governance environment.
Why it matters: better recommendations cannot compensate for an unreliable measurement foundation.
Do not supply the interviewer's answers. State your assumptions, name the evidence you would request, and show how a different answer would change your recommendation.
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