TLSubmit’s Shopping Ads Planner helps you structure, forecast, and prioritize product-based paid campaigns before you spend budget. It is designed for marketers running Google Shopping or feed-driven ecommerce campaigns who need a practical way to map products, segment inventory, align bids and budgets, and turn catalog data into a workable advertising plan.
What the Shopping Ads Planner does
The tool is used to plan Shopping campaigns around product groups, feed quality, margin tiers, seasonality, and performance goals. Instead of launching ads from a raw product feed and fixing issues later, you use the planner to decide which products deserve spend, how to segment them, and what campaign structure will make reporting and optimization easier.
In practice, that means the planner helps you:
- group products by brand, category, price, margin, or best-seller status
- identify low-priority items that should not receive equal budget
- match campaign structure to business goals such as revenue, ROAS, or stock clearance
- spot feed gaps that can reduce visibility or click quality
- build a cleaner launch plan for standard Shopping or Performance Max support workflows
When to use the Shopping Ads Planner
Use it before campaign creation, during account rebuilds, and ahead of major promotional periods. It is especially useful when you have a large catalog, mixed margins, or multiple product priorities that should not be managed in one flat campaign.
Best use cases
The planner is most valuable in these situations:
New ecommerce launch: You need a sensible starting structure instead of putting every SKU into one campaign.
Catalog expansion: Your product range has grown and existing campaigns no longer reflect category differences or inventory value.
Seasonal planning: You are preparing for peak periods and need to isolate giftable, high-converting, or promotional products.
Margin protection: You want to avoid overbidding on low-margin items that generate sales but weak profit.
Feed cleanup: You suspect poor titles, missing attributes, or inconsistent product types are limiting performance.
How to plan a Shopping campaign with the tool
1. Start with business priorities, not product volume
Many accounts are structured around whatever exists in the feed. That creates bloated campaigns and weak budget control. Start by separating products into commercial groups such as high-margin products, hero SKUs, clearance stock, seasonal items, and low-priority long-tail inventory. The planner should reflect how the business makes money, not just how the catalog is exported.
2. Segment products into useful groups
The most useful Shopping structures usually rely on a small number of meaningful segments. Common segmentation options include:
- brand
- category or product type
- custom labels such as margin tier, season, bestseller, or promotion status
- price bands
- inventory availability
If your catalog supports it, custom labels are often the most practical way to build campaigns that match real commercial intent. For example, labeling products by margin tier lets you bid more aggressively where profitability can support it.
3. Review feed quality before launch
A Shopping plan is only as strong as the feed behind it. The planner should force a review of the fields that influence visibility and click relevance. Focus on product titles, descriptions, product type, brand, GTIN, image quality, availability, and pricing consistency. If a product group has weak feed data, it may deserve a lower launch priority until the feed is improved.
For marketers managing large catalogs, this step prevents a common mistake: scaling budget before feed quality is ready. Better titles and cleaner categorization often improve performance faster than bid changes.
4. Assign budget by value, not by equal distribution
Do not split budget evenly across all categories unless the business case supports it. The planner should help you assign more spend to products with stronger conversion history, better margins, stronger search demand, or strategic importance. Lower-value products can still run, but in lower-priority campaigns with tighter controls.
A simple planning model is to divide products into three budget groups:
- Core revenue drivers: highest budget allocation
- Growth opportunities: moderate budget with testing room
- Low-priority coverage: controlled budget for long-tail demand
5. Match campaign structure to reporting needs
A good Shopping structure should make optimization easier after launch. If you need to compare brands, categories, or margin tiers, those segments must be visible in campaign or product-group reporting. The planner helps avoid structures that hide useful data inside one oversized campaign.
For example, if one category has a very different conversion rate and average order value than another, separating them early makes bid adjustments, budget shifts, and performance reviews much faster.
Practical workflow example
An online home goods retailer has 8,000 SKUs and wants to improve Shopping performance before a seasonal sale. Using the Shopping Ads Planner, the marketing team creates four product segments: best sellers, high-margin decor, low-margin essentials, and clearance items. They then review feed titles for the top 500 products, apply custom labels for margin and sale status, and assign budgets based on profitability rather than total SKU count.
The resulting campaign plan gives best sellers the largest budget, isolates clearance products so they can be promoted aggressively without distorting core performance, and limits exposure on low-margin essentials. Reporting becomes clearer because each segment has a defined role, and optimization decisions can be tied to revenue and margin instead of guesswork.
How experienced marketers use it differently
Beginners often use the planner to create a clean first structure and avoid wasting spend on weak product groups. Experienced marketers use it to pressure-test assumptions before major changes. That includes evaluating whether custom labels are sufficient, whether campaign splits are too granular, and whether budget allocation reflects current demand instead of last quarter’s structure.
Advanced teams also use the planner to coordinate across channels. If a product line is being pushed through paid social, email, and onsite promotion, Shopping budget can be adjusted to support assisted demand rather than duplicate spend inefficiently.
Common planning mistakes to avoid
Using one campaign for the entire catalog: This limits control and hides meaningful differences in performance.
Ignoring margin data: Revenue alone can make weak product groups look better than they are.
Over-segmenting too early: Too many campaigns create management overhead without enough data per segment.
Skipping feed review: Poor titles and missing attributes reduce the value of any campaign plan.
Budgeting by SKU count: More products does not automatically mean more commercial value.
FAQ
Is the Shopping Ads Planner only for large ecommerce stores?
No. Smaller stores benefit because the tool helps them focus limited budget on the products most likely to drive profitable results.
Should I use it before or after creating my product feed?
Use it alongside feed preparation. Campaign planning and feed structure should inform each other.
Can it help with Performance Max planning?
Yes. Even when campaign automation handles delivery, you still need a clear product segmentation and budget strategy.
What is the biggest benefit for established accounts?
It helps expose outdated structures, uneven budget allocation, and missed opportunities hidden inside broad catalog campaigns.
