Feed Setup for New Products
The product feed is the foundation of Google Shopping performance. For a new product, getting the feed right before launch avoids issues that are costly to fix later (restarting a campaign loses Smart Bidding learning data).
Product Title
Google Shopping titles should follow the pattern: [Brand] + [Product Type] + [Key Attributes]. For a new product, this is particularly important because there's no conversion history to compensate for poor title relevance.
Examples:
- Bad: "Premium Yoga Mat" → Good: "Liforme Original Yoga Mat — Non-Slip, 4.2mm, Eco-Friendly PU"
- Bad: "Men's Jacket" → Good: "North Face Summit Series Gore-Tex Hardshell Jacket Men's Black"
Product Description
Write 150–300 words covering: materials, dimensions, key features, use cases, and compatibility. Use natural language that matches how customers search. Avoid manufacturer spec-sheet language which doesn't match conversational queries.
Images
High-resolution main image (minimum 800×800, ideally 1200×1200) on white background (apparel/products). Additional images from multiple angles. For lifestyle categories, a lifestyle image as the secondary image can improve click-through rate significantly.
GTIN
For branded products, include the manufacturer GTIN (barcode). Missing GTINs for branded products is a common feed error that limits delivery and lowers Shopping ad quality. For own-brand/private label products, create a custom identifier.
Product Category
Select the most specific Google Product Taxonomy category applicable. Generic categories receive less targeted impression matching. Take time to navigate to the correct 4–5 level deep category.
Initial Bidding Strategy for New Products
The core challenge: Smart Bidding (tROAS, tCPA) requires conversion history to work. Without it, the algorithm makes poor decisions. New products need a different initial strategy.
Option 1: Manual CPC (Recommended for First Launch)
Set a manual CPC bid calculated from your estimated economics:
Estimated CPC Calculation
New product: £85 sale price, 38% contribution margin = £32.30 CM per unit
Target ad spend: 10% of sale price = £8.50 max per conversion
Estimated conversion rate (based on similar products): 1.5%
Max CPC = £8.50 × 0.015 = £0.13
This is a starting point — adjust up if impression share is too low to collect data, or down if CAC is too high in first 2 weeks.
Option 2: Target Impression Share
Set bids to achieve 70–80% impression share in your Shopping results. This ensures the product gets enough visibility to collect conversion data, without relying on Smart Bidding efficiency it doesn't yet have. Monitor daily spend carefully — impression share bidding can overspend on highly competitive products.
Option 3: Maximise Clicks with Budget Cap
Maximise Clicks strategy drives traffic volume to build conversion data quickly. Must be used with a strict budget cap and monitored for ROAS — this strategy doesn't optimise for profit, only for click volume. Appropriate only for 4–6 weeks as a data collection strategy.
Don't Use tROAS from Day One
Setting a tROAS target before you have conversion data leads to erratic bidding. Smart Bidding needs a minimum of 30–50 conversions to learn reliably. Without this, it may severely under-bid (not enough data to justify higher bids) or over-bid (miscalibrating from a handful of lucky early conversions).
The Data Collection Period
The first 4–8 weeks of a new product's life in Google Shopping is a data collection phase. The goal is not to achieve perfect ROAS — it's to accumulate the conversion volume that enables Smart Bidding to work properly.
What to monitor during the data collection phase:
- Impression share: Is the product getting enough visibility? Under 30% impression share means the bid is too low or the feed quality is limiting delivery.
- CTR (click-through rate): If CTR is significantly below 1% for Shopping, the product image or title may not be resonating. Try A/B testing image variants if your volume is sufficient.
- Conversion rate: Compare to similar existing products. If CVR is much lower than expected, investigate landing page quality — product page missing key information, slow load time, or pricing perception issue.
- Cost per conversion: Even before tROAS optimisation, track this against your maximum CPA. If CPA is already above break-even, the product may not be viable at the current price point in Shopping.
When to Start Optimising
The transition to tROAS Smart Bidding should happen when:
- 30–50 conversions accumulated in the campaign
- At least 4 weeks of data (even if conversion volume is there earlier — seasonality matters)
- Your estimated target ROAS is calculated from actual cost data, not just estimates
When you switch to tROAS, expect a 1–2 week "learning period" where performance may be erratic as the algorithm calibrates. Do not make additional changes (budget, targets, structure) during this learning window — it restarts the clock.
Post-Launch Review Checklist
At 8 weeks: Has conversion rate stabilised at or above comparable products? Is actual ROAS above break-even? Is return rate within expected range? If all three yes — this product is ready for full profit-based bidding optimisation.
Using Bestseller Data to Predict New Product Potential
New products don't have their own performance data — but your existing catalogue does. Products in the same category, at similar price points, with similar margins provide a statistical starting point for new product modelling.
What to Extract from Existing Product Data
- Category average conversion rate: If your sportswear products average 1.8% CVR, that's a reasonable first estimate for a new sportswear product
- Category average return rate: New product return rate estimates
- Category average CPC: Expected spend per click
- Category ROAS distribution: What ROAS range is achievable in this product type?
This analysis takes 30 minutes and prevents the "data vacuum" problem at launch — you have informed estimates for your initial bid calculations even without product-specific history.
GROW Platform's New Product Launch Automation
GROW Platform simplifies new product launches by removing the manual feed-to-campaign workflow and pre-calculating ROAS targets from cost data before any conversion history exists.
How It Works
- Feed-to-campaign automation: New products in your Merchant Center feed are automatically detected and can be deployed to SPAG campaigns without manual ad group creation
- Pre-launch cost configuration: Enter COGS, fulfillment, and fee data for the new product in MarginStack before launch. ProfitClarity calculates the target ROAS from cost data alone — no conversion history required
- Smart launch bidding: Initial bid strategy is configured based on product margin and desired data collection rate
- Automatic transition to tROAS: Once sufficient conversion data accumulates, GROW can automatically transition the product to profit-based Smart Bidding
The result: new products reach their optimised bidding state faster, with less manual management overhead, and with more accurate ROAS targets from day one.
Frequently Asked Questions
Why is launching new products on Google Shopping different from managing existing products?
Existing products have conversion history that Smart Bidding algorithms use to optimise. New products have none — which means Smart Bidding can't reliably optimise bids initially. You need a manual or target-impression-share strategy during the data collection phase.
How long should I run a new product before optimising?
Allow 4–8 weeks and accumulate at least 30–50 conversions before switching to tROAS Smart Bidding. With insufficient data, Smart Bidding will make erratic bid decisions. Use manual CPC or target impression share during this learning period.
How do I set bids for a new product with no conversion data?
Start with a manual CPC bid set at your estimated break-even CPC (contribution margin × expected conversion rate). Alternatively, use target impression share (70–80% share) to establish presence and collect data. Monitor spend daily during the learning phase.
How can I use existing bestseller data to predict new product potential?
Analyse performance data from similar products in your catalogue: average conversion rate, AOV, ROAS, and return rate for products in the same category and price bracket. Use these as starting estimates for your new product's financial model.
Does GROW Platform support new product launches specifically?
Yes — GROW's new product launch automation can deploy new product campaigns with pre-configured bid strategies based on product margin data, even without conversion history. ProfitClarity calculates the target ROAS from cost data regardless of conversion history.
Next Steps
New product launches require a different approach to bidding than established products. Getting the feed, initial bids, and data collection phase right determines whether the product ever reaches optimised performance.
Automate New Product Launches with GROW
GROW Platform's MarginStack and ProfitClarity allow you to configure new product margins before launch — calculating ROAS targets from cost data and deploying campaigns automatically. Create an account to get started →
