Prompt Details
Model
(gemini-3.1-pro)
Token size
2,078
Example input
[STORE_URL]: urbanbasics.com — minimalist basics, $45-120 range
[PRODUCT_CATEGORY]: Apparel
[CAMPAIGN_TYPE]: Both side-by-side
[PRIMARY_GOAL]: Grow Revenue at Same ROAS
[MONTHLY_SPEND_TIER]: Medium ($2K-$20K)
Example output
Here is the directional campaign architecture and scaling plan based on your store's context.
*Disclaimer: All recommendations, priority levels, and scaling guidance below are directional based on industry patterns for mid-market apparel. They are not guarantees of specific financial outcomes or ROAS lifts. Every account is a unique auction environment; treat these as a structured baseline for testing.*
## STEP 1: STRATEGY READINESS DIAGNOSIS
Before allocating budget to PMax or Standard Shopping, we must verify the operational foundation. For apparel, variant mapping and accurate visual representation are critical.
1. **Merchant Center Health Signals:** * **Critical:** Feed approval rate must be >95%. Disapprovals for "Promotional Overlay on Image" or "Mismatch: Price/Availability" will throttle PMax aggressively.
* **High:** Shipping settings (must match website exactly to prevent account suspension) and tax configurations.
* **Medium:** Free listings opt-in, automated image improvements (turn off if it negatively alters lifestyle brand guidelines).
2. **Conversion Tracking Readiness:** You must have Google Ads conversion tracking configured for Purchases with dynamic values. Enhanced Conversions must be enabled. If you operate in the EEA/UK, Consent Mode v2 is strictly required.
3. **Feed Data Quality Flags (Apparel):** The apparel category demands precise item grouping. Expect warnings if `item_group_id` (parent/child relationship for variants), `color`, `size`, `age_group`, and `gender` are missing. Without these, Google cannot serve your ads accurately on visual, filter-heavy Shopping placements.
4. **Readiness Verdict:** **Yellow** (Fix tracking and variant parent/child relationships first. If these are already pristine, proceed to Green).
---
## STEP 2: PRODUCT FEED OPTIMIZATION CHECKLIST
In apparel, the feed is your primary targeting mechanism.
| Feed Attribute | Category Recommendation | Priority | Rationale |
|----------------|---------------------------|----------|-----------|
| **Product Title** | Brand + Gender + Product Type + Attributes (Color, Size) | **High** | Keyword order matters. Google weights the first 30-50 characters most heavily. Example: *Urban Basics Men's Supima Cotton Crewneck T-Shirt - Navy, Large* |
| **item_group_id** | Use consistent parent IDs for variants | **High** | Prevents all 5 colors of a shirt from showing up next to each other, improving CTR and reducing wasted spend. |
| **Google Product Category** | Drill down to at least 3 levels (e.g., Apparel & Accessories > Clothing > Shirts & Tops) | **Medium** | Helps Google understand the tax rate in certain regions and routes to correct visual filters. |
| **Images** | High-res main image (clean background); multiple lifestyle images via `additional_image_link` | **High** | Apparel is highly visual. PMax uses additional images to generate video/display assets automatically. |
| **Custom Labels 0-4** | Use for Profit Margin, Bestseller Status, Seasonality | **High** | Crucial for the side-by-side campaign structure (see Step 3 & 4). |
| **GTIN** | Manufacturer barcode | **Medium** | If you manufacture your own brand, GTINs aren't strictly required (use `identifier_exists: no`), but having them unlocks stronger algorithmic matching. |
**3 Quick-Win Feed Fixes for This Week:**
1. Append `color` and `size` to the end of all product titles.
2. Ensure every parent product shares the exact same `item_group_id` across all its size/color variants.
3. Map Custom Label 0 to your top 20% "Bestseller" products based on the last 90 days of store data.
---
## STEP 3: CAMPAIGN STRUCTURE BLUEPRINT
With a **Medium spend tier ($2K-$20K/month)** and a preference for **Both side-by-side**, the goal is to prevent PMax and Standard Shopping from cannibalizing each other. We will use PMax to aggressively scale proven winners, and Standard Shopping to force visibility on new/slow-moving inventory that PMax typically ignores.
**The Strategy:** PMax takes priority in the auction automatically over Standard Shopping for the same product. Therefore, we must split the products via Custom Labels.
```text
Google Ads Account
├── Performance Max: Bestsellers & High Margin
│ ├── Asset Group 1: Men's Basics (Tees, Sweats)
│ │ └── Listing Group: Custom Label 0 = Bestseller + Gender = Male
│ └── Asset Group 2: Women's Basics (Tees, Sweats)
│ └── Listing Group: Custom Label 0 = Bestseller + Gender = Female
│
└── Standard Shopping: Catalog Explorer & New Launches (Medium Priority)
├── Ad Group 1: Mid/Slow Movers
│ └── Product Group: Custom Label 0 = Mid-Mover
├── Ad Group 2: Clearance / End of Line
│ └── Product Group: Custom Label 0 = Clearance
└── Ad Group 3: New Launches
└── Product Group: Custom Label 1 = New Arrival
```
* **PMax Setup:** Use Brand Exclusion lists at the campaign level if you want Search campaigns to own your brand terms. Seed audience signals with your past purchaser lists, website visitors, and "in-market for minimalist apparel" segments.
* **Standard Shopping Setup:** Set priority to Medium. Exclude the "Bestseller" Custom Label entirely so these campaigns only focus on driving traffic to products PMax is ignoring. Use negative keywords to block non-converting generic terms.
---
## STEP 4: PRODUCT SEGMENTATION STRATEGY
For $45-$120 minimalist basics, margin and velocity are your strongest levers.
| Segment | Custom Label | Example Products | Bidding Approach |
|---------|---------------|--------------------|----------------------|
| **Volume Drivers** | `CL0: Bestseller` | White/Black Cotton Tees, Core Hoodies | **PMax (Aggressive).** Push tROAS slightly below account average to maximize scale and acquire new customers. |
| **Mid/Slow Movers** | `CL0: Mid-Mover` | Seasonal colors, lower-demand cuts | **Standard Shopping (Moderate).** Set tROAS to account average. This forces the system to find long-tail queries. |
| **New Launches** | `CL1: New Arrival` | Newly dropped heavyweight tees | **Standard Shopping (Manual CPC or Max Clicks).** Smart bidding needs historical data. Force traffic here first to build a conversion baseline. |
| **Clearance** | `CL0: Clearance` | Last season's discontinued colors | **Standard Shopping (Low tROAS).** Goal is liquidation. Drop ROAS targets to clear inventory rapidly. |
---
## STEP 5: BIDDING STRATEGY RECOMMENDATION
* **Starting Strategy:** Because your goal is *Grow Revenue at Same ROAS*, you need to utilize **Target ROAS (tROAS)** for established products, provided your account has at least 30 conversions in the last 30 days.
* **Viability Threshold:** Do not use tROAS on the "New Launches" Standard Shopping campaign until those specific products generate 15+ conversions.
* **Target ROAS Starting Range (Directional Benchmark):** For mid-market apparel ($45-$120), a healthy directional starting point for non-brand acquisition is usually **250% - 400%**. Start your tROAS setting roughly 15% *lower* than your actual historical average to give the algorithm breathing room to find scale.
* **Adjusting Targets:** Change tROAS by no more than 10-15% at a time, and wait 7-10 days before adjusting again.
* **PMax Specifics:** Consider testing the "New Customer Acquisition" (NCA) mode (bidding higher for new customers). At a $45-$120 AOV, lifetime value (LTV) on basics is usually high. Willingness to sacrifice immediate ROAS for a first-time buyer often wins the category long-term.
---
## STEP 6: NEGATIVE KEYWORD AND EXCLUSION PLAN
PMax requires negative keyword lists applied via a Google rep or the account-level settings. Standard Shopping uses standard negative keyword lists.
1. **Universal E-commerce Negatives:** `free`, `cheap`, `diy`, `how to make`, `pattern`, `sewing`, `used`, `second hand`, `reddit`, `jobs`, `hiring`.
2. **Apparel/Basics Specific Negatives:** `wholesale`, `bulk`, `blanks`, `printing`, `custom printed`, `logo placement`, `graphic`, `heavy metal`, `vintage`, `designer`, `luxury`, `kids` (if you don't sell kids), `toddler`, `maternity`, `athletic compression`.
3. **Brand Exclusion Strategy:** Since you want to grow revenue, apply a Brand Exclusion List to your PMax campaign. This prevents PMax from taking easy credit for branded searches (e.g., "Urban Basics t-shirt") and forces it to find net-new non-brand traffic. Keep your branded queries safely contained in a dedicated Standard Search campaign.
4. **Geographic Exclusions:** Exclude regions/territories where shipping costs destroy your margin, as well as PO Boxes if your carrier doesn't support them.
---
## STEP 7: QUICK-WIN ACTIONS FOR THIS WEEK
| # | Action | Effort | Priority Level | Directional Outcome |
|---|--------|--------|-----------------|----------------------|
| 1 | Map `item_group_id` for all variants in Merchant Center | Low | **Critical** | Cleans up visually cluttered ad placements; improves CTR. |
| 2 | Tag top 20% historical revenue drivers with `Custom Label 0 = Bestseller` | Low | **Critical** | Enables the side-by-side campaign split. |
| 3 | Apply account-level negative keyword list (bulk/printing terms) | Low | **High** | Reduces wasted clicks on B2B/wholesale queries. |
| 4 | Build PMax Brand Exclusion List | Low | **High** | Forces PMax to acquire new customers, not just harvest brand traffic. |
| 5 | Verify Consent Mode v2 & Enhanced Conversions | Med | **High** | Prevents data loss; allows Smart Bidding to observe ~15% more conversions. |
---
## STEP 8: 90-DAY LAUNCH AND SCALING ROADMAP
**Weeks 1-2 (Foundation)**
* **Owner:** Advertiser / Developer
* **Actions:** Execute Quick Wins (Step 7). Segment feed with Custom Labels. Build the PMax and Standard Shopping framework side-by-side.
* **Priority:** **High** (3-5 hours)
**Weeks 3-6 (Learning Phase)**
* **Owner:** Advertiser / Agency
* **Actions:** Do not touch budgets or tROAS targets. Monitor Search Terms in Standard Shopping to aggressively mine for new negative keywords.
* **Priority:** **Medium** (2 hours/week)
**Weeks 7-10 (Optimization)**
* **Owner:** Advertiser / Agency
* **Actions:** Review asset performance in PMax. Replace "Low" performing lifestyle images. If Standard Shopping is capturing profitable long-tail traffic, incrementally increase its budget.
* **Priority:** **High** (3 hours/week)
**Weeks 11-13 (Scale)**
* **Owner:** Advertiser
* **Actions:** If ROAS is stable at your target, increase budgets by 10-20% on PMax. Evaluate the "Mid-Movers" in Standard Shopping—if any are gaining traction, upgrade their Custom Label to "Bestseller" to graduate them into the PMax campaign.
* **Priority:** **High** (2 hours/week)
---
## STEP 9: MEASUREMENT FRAMEWORK
| Metric | Review Cadence | What to Watch For |
|--------|------------------|---------------------|
| **Search Impression Share (IS)** | Weekly | If your Standard Shopping IS is <20%, your bids/tROAS are too restrictive, or budget is capping out. |
| **Click Share** | Weekly | A gap between IS and Click Share means your ads are showing, but your pricing, image, or title isn't enticing the click. |
| **Merchant Center Disapprovals** | Bi-Weekly | Watch for automated image overlay disapprovals or price mismatch spikes when running flash sales. |
| **New Customer Rate** | Monthly | Ensure PMax is actually driving net-new acquisition, not just retargeting 90-day site visitors. |
* **Interpretation Rule:** When you launch this side-by-side structure, expect a 14-to-21-day volatility period where CPCs may fluctuate. Do not panic-adjust tROAS during this window; the algorithm is recalibrating the auction path for your split inventory.*
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GEMINI-3.1-PRO
Running Shopping campaigns but unsure which levers move revenue?
Complete Shopping strategy in one prompt — feed, structure, bidding, segmentation.
WHAT YOU GET:
✅ Campaign structure blueprint (Standard vs PMax)
✅ Product feed optimization checklist
✅ Priority & bid strategy recommendations
✅ Product segmentation strategy
✅ Negative keyword & exclusion plan
✅ 90-day launch & scaling roadmap
Works for Shopify, WooCommerce, BigCommerce, Magento.
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