Campaign management
When an experiment lands, Product doesn’t hand you a slide deck — it turns winners into live campaigns, shifts spend away from losers, and keeps managing the loop across channels.
How it runs
Campaign management is the system after the test — the part that moves money based on evidence instead of waiting for another planning cycle.
01
Accepted experiment outcomes become channel-ready campaigns at the spend level the result supports — not a vague recommendation left in a doc.
02
As performance comes back, Product moves spend toward proven arms and away from what underperformed, so every dollar follows the learning.
03
After you accept, Product handles the operational work: launching, monitoring, pausing losers, and keeping status clear in one workspace.
04
What one test proved can ship where your catalog already connects — Meta, Google, TikTok, and the rest — without rebuilding the plan by hand.
In the loop
Campaign management sits between experiment results and live spend — the same workbench that proposed the test keeps running what it learned.
Launch from evidence
Promote winning treatments into production campaigns with budgets grounded in the experiment, not a guess.
Continuous reallocation
Shift daily spend toward stronger performers and pull back where results went flat or negative.
Live monitoring
Track status, delivery, and performance in the workspace so nothing silently burns budget off-plan.
Multi-channel scale
Take a proven angle across connected ad channels without restarting strategy from scratch on each platform.
Spend you can see
Ad spend stays tied to the workspace wallet — soft-reserved budgets and clear accounting as campaigns run.
Feed the next experiment
Live campaign learning flows back into Product Agent so the next hypothesis starts from what already shipped.
Start free — connect a catalog and channel, run an experiment, and let Product manage what to scale next.