01
Pull campaign performance into one operating view
Review ROAS, spend, conversions, and related signals across platforms before making a budget move.
Reallocate Paid Budget During Scaling Weeks
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
If the current pain looks more like "Too much spend is staying on clearly weak campaigns; Budget increases are being decided manually and too slowly", this workflow is designed to turn those scattered signals into one repeatable operating sequence. It moves through Pull campaign performance into one operating view -> Identify the losers and the winners -> Turn the review into a repeatable budget action so different team members are not improvising the same job in different ways.
By the end, the team should have deliverables such as A budget action queue, Performance-backed budget logic and use them to drive outcomes like Reduce wasted ad spend on weak performers, Scale stronger campaigns faster, Make budget operations more consistent across platforms.
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.
Related product and workflows
Product
Spark: AI Store Assistant
A Shopify AI agent and ecommerce assistant that plans and executes supported store tasks using connected data and tools.
Best AppsAnalytics
Best Shopify Analytics Apps
Help CenterStore tasks
How to use the Spark AI assistant
Set a task goal and review the supported steps using connected store data.
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.