Service template

Design and validate automated bidding

The illustrative team changes bids from recent ROI even when outcomes are incomplete and several campaigns share the same audience.

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Business result

An auditable bidding policy that protects contribution, delivery continuity and risk limits.

Next step
Design a controlled test
Working output
Project brief
Unit of analysis
Campaign × bid decision timestamp × policy version
Decision owner
Paid Acquisition and Growth Technology Lead

Controlled test design

  • Hypothesis: Replay as-of decisions, run the policy in shadow mode and design a limited live test.
  • Comparison: Current bidding policy versus proposed updates on eligible comparison campaigns with overlap checks
  • Specify assignment, group overlap, exposure and contamination checks.
  • Choose a primary metric, detectable effect and completed outcome window before calculating sample size.
  • Set risk budget, guardrails, checkpoint and stop or restore conditions.

Acceptance checks

  • Signal maturity, update bounds and overrides are specified.
  • Shadow decisions and applied bids are reconciled before bounded activation.
  • Decision owner, risk budget, guardrails, checkpoint and restore condition are specified.
  • Assignment, detectable effect and outcome horizon are specified before the test starts.

Deliverables

  • A pilot design with success and stop criteria
  • Agreed scope, source requirements, responsibilities and acceptance checks.
  • A working brief for a readiness and delivery conversation, not a completed investigation.