Most teams are still piecing this together with tools that were never built for it.
Most Shopify stores running Standard Shopping still manage SPAGs with Ads Editor, a spreadsheet, and weekly manual reviews. It works for a while. Then the catalog grows, launches pile up, and cleanup never really stops.
Today's stack
Ads Editor + spreadsheet + weekly review
Google Ads Editor for every bulk change
A spreadsheet to track structure, bids, and negatives
Search-term review that only happens weekly
Manual SPAG builds for every launch
Cleanup that always lags behind live spend
With Spagify
One workspace for the weekly workflow
One place to launch, route, review queries, and watch pacing
SPAG creation without manual ad-group builds
Search-term review and negatives in the same workflow
Rules and alerts that catch waste earlier
Cleaner structure as the catalog grows
Running SPAGs by hand is not a one-time setup. It turns into weekly ops.
Standard Shopping gives you more control at the product level, but the actual workflow is still held together with Editor, spreadsheets, and manual review.
Every launch turns into an ad-build project
By the time products are synced, SPAGs are built, ads are checked, and tracking is in place, a launch can eat a huge chunk of the week before spend even starts.
Search terms leak spend faster than you can block them
Query drift happens daily, but negatives get reviewed weekly. The gap is money spent on terms you did not mean to buy.
The structure that worked at 20 products breaks at 200
What stays manageable on a spreadsheet at small scale turns into structure debt, drift, and inconsistent SPAGs once launches and catalog churn stack up.
Most automation tools solve this by taking control away from you
The account gets easier to operate, but you lose the product-level visibility that made Standard Shopping worth running in the first place.
Pain severity pulled from Spagify's internal pain-point inventory for Shopify merchants running Google Standard Shopping.
The weekly Standard Shopping workflow, turned into software.
Spagify handles the recurring work between your catalog and your ad account: build structure, route traffic correctly, clean up waste, and keep product-level control.
Inside the workflow
How priority routing works across SPAGs
Brand queries
Exact product matches and your best converters
Generic queries
Category traffic with more volume and lower intent
Residual queries
Long-tail and fallback traffic the others skip
Negative keywords push queries down the priority stack so each SPAG only shows against the traffic it should. Spagify helps keep that structure clean as the catalog grows.
01
Sync products from Shopify
Pull item-level product data into one workspace without adding another feed tool just to get started.
02
Build SPAGs with priority routing
Create one product per ad group and route traffic through high, medium, and low priority campaigns.
03
Review search terms and cut waste
Handle query cleanup and negatives in the same workflow so drift gets caught earlier.
04
Run with rules, alerts, and pacing
Use product-level rules and alerts so you can automate the repetitive work without losing visibility.
What Spagify handles today
The current product is built around the work Standard Shopping teams are already doing manually every week.
SPAG launch and structure control
Create, publish, and manage Single Product Ad Groups with item-ID isolation and brand-aware 3-priority campaign structures.
Search-term and negative workflow
Review queries, push negatives, and run scheduled negative automation in one place instead of jumping between tools.
Rules, alerts, and A/B rule testing
Product-level rules with cooldowns, guardrails, and dry-run testing so you can automate the repetitive work without losing visibility.
Product-level reporting with LTV and cohort insights
Item-level performance, pacing, repeat purchase rate, and 90-day LTV — without collapsing everything into campaign averages.
Keyword intelligence and Quality Score monitoring
Per-product keyword intent tiers, search-term mining, automatic negative sync, and color-coded QS badges with factor tooltips.
Budget pacing and cross-campaign reallocation
Pacing insights, recommended budgets, and a rule action that moves budget from low-ROAS campaigns to high-ROAS ones automatically.
What we're building next
Pulled directly from the active engineering roadmap — current as of the last deploy.
AI rule suggestions
Spagify analyzes your last 30 days and suggests rules that would have improved ROAS — one click to add. Backend ships now, UI lands next.
Approval queue for teams
Let rules propose changes and route them through a review queue before anything hits the account. Coming on the Scale tier.
User-scheduled automations
Configurable schedules for negative sweeps, search-term mining, and bid passes — set the cadence per workspace instead of relying on defaults.
Profit and contribution margin
COGS, refunds, and fees factored into rule decisions so product calls are based on profit, not just revenue.
Built for stores that still want to run Shopping with control.
Spagify is built for Shopify merchants running Google Standard Shopping with 100–999 actively advertised SKUs, where launches, query cleanup, and structure changes start eating real hours every week. The pain usually gets sharp around 250 SKUs.
Best fit
Shopify stores actively running Google Standard Shopping
Growing catalogs where manual SPAG work is eating real hours every week
Operators who want product-level decisions instead of campaign averages
Teams tired of stitching Ads Editor, spreadsheets, and ad-hoc reviews together
Not a fit
PMax-only operators who want full consolidation
Very small catalogs where manual setup is still quick
Merchants who only need feed sync or Merchant Center hygiene
Anyone looking for a set-and-forget AI ad platform
Questions operators usually ask first
The fit is specific, so it helps to answer the filtering questions up front.
The Standard Shopping SPAG operating system for Shopify.
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The Standard Shopping SPAG operating system for Shopify.