01
Pull campaign performance into one operating view
Review ROAS, spend, conversions, and related signals across platforms before making a budget move.
Back to product playbook
Reallocate budget during a scaling week before weak ads waste another day
Use Spark to surface low-ROAS or no-conversion ads, compare stronger campaigns across platforms, and turn daily budget moves into a repeatable scaling workflow instead of reactive cleanup.
Product
Spark: AI Store Assistant
Category
Scaling
How it works
See how this workflow runs from signal to action so the team can actually reach the intended outcome.
02
Identify the losers and the winners
Use clear rules such as low ROAS, no conversions, or high-performing ads that deserve more budget.
03
Turn the review into a repeatable budget action
Move from one-off cleanup to a consistent operating pattern for pausing, enabling, and reallocating budget.
Frequently asked questions
Frequently asked questions
Does this mean Spark directly edits all ad platforms today?
The page can still start from review, recommendation, and export logic first. Direct action can be added later, but the use case already reflects the real operating job the team wants done.
Why not just rely on built-in automation rules?
Platform-native rules help, but merchants still need a shared view across channels, store revenue context, and a clearer understanding of where to shift money next.