Ask three Google Ads specialists which campaign type an online store should run and you may get three answers. That's because Performance Max, Standard Shopping and Search are tools for different jobs. The right mix depends on how many products you sell, how much conversion data you have, how wide your margins are, and how much control you need.
This guide explains each type in plain language and gives you a practical starting structure.
The three campaign types at a glance
| Performance Max | Standard Shopping | Search | |
|---|---|---|---|
| Where ads show | Search, Shopping, YouTube, Display, Discover, Gmail, Maps | Shopping tab and product ads on search results | Text ads on search results |
| Main input | Product feed, images, videos, text, audience signals | Product feed | Keywords and ad text |
| Control | Low to medium | High | High |
| Search term visibility | Partial | Full | Full |
| Needs conversion data | Yes, a lot | Helpful | Helpful |
| Best for | Scaling proven products | Margin control, testing, new stores | Brand, high-intent and question searches |
Performance Max: strengths and weaknesses
Performance Max uses Google's automation to decide where to show your ads, which assets to combine and how much to bid, based on a goal you set such as a target return on ad spend.
Strengths
- Reaches shoppers across every Google surface from one campaign.
- Learns quickly when you have steady conversion volume.
- Often finds new customers your manual campaigns miss.
Weaknesses
- Less visibility into which searches and placements drive results.
- Can spend heavily on your own brand name or on existing customers if not configured carefully.
- Needs good data; with few conversions it can wander.
Make it work better: split products into asset groups by margin or category, exclude brand terms where your account allows it, use new-customer goals if acquisition matters most, and feed it real sales values rather than estimates.
Standard Shopping: when control matters
Standard Shopping shows product ads based on your feed and lets you set bids by product group, see every search term and add negative keywords.
Use it when:
- You're a new store without enough conversions for automation.
- Some products have thin margins and must be capped.
- You want to test which products sell before scaling.
- You need clean search term data to improve titles and descriptions.
Search campaigns for stores
Search ads are often forgotten by ecommerce teams, but they catch searches that product ads don't serve well:
- Brand searches, to protect your name from competitors and resellers.
- Comparison searches, such as "best running shoes for flat feet".
- Problem searches, such as "how to stop a sofa sagging".
- Category searches where a landing page with filters converts better than one product.
A starting structure for a new store
- Weeks 1–4: Standard Shopping covering all products, split into best sellers, mid-range and long tail. A brand Search campaign. Tight negative keyword lists.
- Weeks 5–8: add Search campaigns for your three or four most important categories. Improve feed titles using the search term report.
- Once you have steady conversions: test Performance Max on your proven best sellers, keeping Standard Shopping for testing and margin-sensitive products.
- Ongoing: compare campaigns on profit, not just return on ad spend, and move budget to what is truly growing the business.
How this works worldwide
The campaign types work the same way in every country, but feeds must match local currency, tax rules and language. In markets with cash on delivery, judge campaigns on delivered orders. In multilingual markets such as the Gulf, Canada and Malaysia, separate language campaigns or bilingual feeds widen your reach. Plan budgets around each market's own sales peaks.
Mistakes that waste budget
- Launching Performance Max on a new store with no conversion history.
- Letting brand searches inflate Performance Max results.
- Ignoring feed quality: short titles, missing attributes, poor images.
- Judging every campaign on return on ad spend without accounting for margins and returns.
- Changing targets every few days, which resets learning.
Frequently Asked Questions
Should a new store start with Performance Max?
Usually not. Start with Standard Shopping and Search to build conversion data and learn which products sell, then add Performance Max for proven products.
Can Performance Max and Standard Shopping run together?
Yes. When both target the same product, Performance Max usually takes priority, so split products between them deliberately.
How do I stop Performance Max spending on my brand name?
Use brand exclusions where available, run a separate brand Search campaign, and check the search term insights regularly.
What matters most for Shopping performance?
The product feed: clear titles with the words people search, good images, accurate prices and stock, and complete product attributes.
Sources & References
Written by Farzeen Rasheed
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