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Why Standard Shopping is better launched before Performance Max

Over the last 18 months we at LeadPrice have seen a consistent picture: 6 out of 10 e-commerce clients come to us after a failed Performance Max launched “from scratch.” The average budget lost before they reached out — $4,000-9,000. The real reason isn’t that PMax doesn’t work. The reason is that Google forgot to add an asterisk to its “launch PMax for maximum reach” — it works when there’s something to learn from.

The failure case: $8,400 in 3 months with no result

February 2024, a client from the premium home goods segment (average order $450). The starting data:

  • Catalog: 340 SKUs
  • Google Merchant Center set up
  • A Shopify site, conversions tracked
  • Previous advertising experience: 0
  • Budget: $2,800/mo for a 3-month test

The previous agency launched Performance Max right away. The logic was simple: “Google will figure it out, the algorithm will find the audience.” In Google Ads Manager we see this picture:

  • Month 1: 18,200 impressions, 340 clicks, 4 conversions (add to cart), 0 purchases. CPC $2.10, $714 spent.
  • Month 2: Google “learned” — impressions rose to 31,400, clicks 890, conversions 22 (add to cart), purchases 2. Average order $380. $2,890 spent. ROAS 0.26.
  • Month 3: The client raised the budget to $5,000 “so the algorithm would definitely learn.” 52,100 impressions, 1,840 clicks, 41 conversions, 7 purchases. Sales $2,730. $4,796 spent. ROAS 0.57.

Total losses: $8,400 in spend, $3,110 in revenue. ROAS 0.37. The client came to us asking “does Google Ads even work for e-commerce.”

What to take from this case

The problem isn’t Performance Max as a tool. The problem is that PMax is a meta-campaign that works on signals. When you launch PMax on an account with no history:

  • Google doesn’t know which of your products convert better
  • There’s no data on seasonality or the price range that brings margin
  • The algorithm doesn’t understand who your target audience is (Demographics/Affinity)
  • The asset group (creatives + product group) is assembled blind

As a result PMax does what it was trained to do — maximize conversions. But it maximizes any conversions (add to cart, views), not margin-bearing purchases. Because it has no basic map of “which products = which people = which creatives = which results.”

Breaking down the problem: why Standard Shopping is the foundation

Standard Shopping campaigns (formerly Smart Shopping until July 2023) aren’t an “old tool.” They’re a diagnostic layer that gives Google (and you) structured data. Here’s why they should be launched first:

ParameterStandard Shopping (1-2 months)Performance Max without preparation
Product segmentationYou see CTR, CR, ROAS for each group/SKU separatelyA black box. Google shows aggregate Asset Group metrics
Bid controlManual CPC or Enhanced CPC — you control what you payAutomated strategies — Google decides for you
Search Terms ReportThe full list of queries the product was shown forLimited. You see the top-25 by impressions, the rest is “other”
Learning time7-14 days to stable data30-45 days, but on an unknown audience
Validation budget$500-1,000 gives clear conclusions$3,000-5,000 for the algorithm to “see the pattern”
What you getA list of flagship products, negative keywords, price zonesAn overall ROAS, but no understanding of which products drive it

To put it as a metaphor: Standard Shopping is you walking the terrain on foot with a compass and recording the route. Performance Max is handing the wheel to an autopilot that doesn’t know the terrain. The autopilot is great, but it first needs a map.

Our methodology: 3 stages before PMax

Stage 1: Standard Shopping on 100% of the catalog (weeks 1-4)

We launch a Standard Shopping campaign with an Enhanced CPC strategy. Priority: Low (so as not to compete with branded queries, if there are any). The structure:

  • 1 campaign = the whole catalog
  • Product groups segmented by category (if there are 5+) or by price range
  • Bid: $0.30-0.50 as a baseline, adjusted by CTR
  • Budget: $25-50/day depending on catalog size

What we collect:

  • CTR by product group (the norm is 0.8-1.5% for e-commerce)
  • Conversion rate (add to cart → purchase)
  • ROAS for each group separately
  • Search Terms — which queries trigger the product’s display

What this gives you: after 3-4 weeks you see that products in category A deliver a ROAS of 4.2, and category B 0.9. That means in PMax you’ll make a separate Asset Group for category A with a higher budget.

Stage 2: Optimizing Standard Shopping (weeks 5-8)

Once the data is collected, we refactor:

  1. Segment into 2-3 campaigns: High Performers (products with a ROAS of 3+), Mid Performers (ROAS 1.5-3), Low/Test (the rest or new items).
  2. Change the strategy: move High Performers to Target ROAS (if there are 30+ conversions a month). Leave Mid on Enhanced CPC. Low — Manual CPC to control spend.
  3. Add negative keywords: from Search Terms pull the irrelevant queries (“free,” “diagram,” “DIY,” competitor brands).
  4. Optimize the Product Feed: if CTR is low (<0.5%), the problem is title/image. Rewrite titles in the format “[Brand] [Product Type] [Key Feature] [Size/Color].” Add custom labels for segmentation (margin, seasonality, bestseller).

What this gives you: ROAS grows 30-50% simply through budget reallocation. For example, in the Adaptis case (premium e-commerce), after 6 weeks of Standard Shopping optimization ROAS grew from 2.1 to 3.8 with no increase in budget.

Stage 3: Preparing for Performance Max (weeks 9-12)

Now you have:

  • A list of 20-50 products that consistently deliver a ROAS of 3+
  • Demographic data (age/gender/geolocation) that converts
  • Search Terms that trigger purchases
  • Knowledge of the price range that works (for example, $200-400 products deliver a CR of 3.2%, while $400+ only 1.1%)

Now we prepare Performance Max:

  1. Create 2-3 Asset Groups (not one for the whole catalog):
    • Asset Group 1: High Performers (custom label “bestseller=yes”)
    • Asset Group 2: Mid Performers with margin
    • Asset Group 3 (optional): New or seasonal products
  2. Prepare creatives for each Asset Group:
    • 15-20 headlines (format “[Benefit] + [Product Type] + [Social Proof/USP]”)
    • 4-5 descriptions of 90 characters each
    • 10-15 images (product shots + lifestyle + close-ups)
    • A 10-30 second video (if the budget allows) — Google adapts it for YouTube/Discovery itself
  3. Set up Audience Signals: import data from Google Analytics (converters from the last 90 days), add similar audiences (lookalike), custom segments based on Search Terms from Standard Shopping.
  4. Set the strategy: Maximize Conversion Value with Target ROAS (set 20% below what Standard Shopping showed — giving Google room to scale).

What this gives you: PMax launches not blind but on the basis of 8-12 weeks of structured learning. Google already knows that “men 35-44 from Kyiv buy product X on queries Y.” Learning time shrinks from 45 to 14-21 days. The starting ROAS in the first month of PMax is usually 15-25% higher than the final Standard Shopping ROAS.

Real numbers: Standard Shopping → PMax in our practice

At LeadPrice we’ve been through this cycle with 14 e-commerce clients in 2023-2024. The average picture:

MetricPMax without preparation (3-month avg)Standard Shopping → PMax (3-month avg)Difference
Learning spend$4,200-8,500$1,800-3,200-58%
ROAS in M10.4-0.92.1-3.4+240%
ROAS in M31.8-2.63.8-5.2+85%
CPA (cost per purchase)$45-90$22-38-52%
Time to profitable ROAS (>2.5)60-90 days21-35 days-65%

In the specific case of a cosmetics client (Adaptis, a ROAS of 12.75 on Meta, with Google launched in parallel), 8 weeks of Standard Shopping gathered data that allowed PMax to reach a ROAS of 4.1 in its very first month. Without that stage the average ROAS in the cosmetics niche is 1.5-2.2 in M1.

When you can launch PMax right away (honestly)

There are 3 scenarios where Standard Shopping can be skipped:

  1. You already have 6+ months of Standard Shopping or Smart Shopping history: Google Analytics shows which products convert, there are statistics on 1,000+ sessions. In that case the data already exists — you can go straight to PMax.
  2. You’re launching 1-5 SKUs (a micro-catalog): there’s nothing to segment. PMax with a single Asset Group will work fine, because Google has no choice to make.
  3. You have a $10K+ testing budget and are prepared to spend 60% of it on training the algorithm: if margins allow, you can go straight to PMax, but understand that the first 2 months are an investment in data, not in sales.

In all other cases — especially if the budget is $500-3,000/mo and the catalog is 50+ products — Standard Shopping first. It isn’t “old-fashioned,” it’s pragmatic.

A red-flag checklist: when PMax will definitely fail

If you see these signs, do NOT launch PMax without Standard Shopping:

  • The Google Ads account is under 3 months old — no conversion history
  • Fewer than 30 conversions in the last 30 days — the algorithm has nothing to learn from
  • The product feed isn’t optimized: titles like “Product 12345,” missing GTIN/MPN/Brand, low-quality images
  • No clear Target ROAS: you don’t know what ROAS you need for profitability (formula: Target ROAS = 1 / Target ACoS, where ACoS = what % of revenue you’re willing to spend on advertising)
  • Average order <$30: Google Shopping margins don’t cover CPC in most niches; better to focus on Meta/TikTok
  • A site without Google Analytics 4 or with conversions not set up: PMax without data is a lottery

If 3+ points apply — Standard Shopping first, for 6-8 weeks. If 1-2 — you can risk PMax, but with a $50-70/day budget and a readiness for 30 days of zero ROAS.

Our approach at LeadPrice: how we do it

When an e-commerce client comes to us, we don’t launch campaigns on day 1. Our “Who → What → Why → How” methodology calls for a diagnosis:

  1. Who: we analyze 90 days of Google Analytics (if there’s traffic) — who converts, from where, what the lifetime value is. If Analytics is empty, that’s a signal to first gather organic traffic or launch Meta for warming up.
  2. What: an audit of the product feed + unit economics. We calculate the ROAS needed for breakeven (formula: breakeven ROAS = 1 / margin %). If the margin is 30%, you need a ROAS of at least 3.3 to break even.
  3. Why: we look at competitors through Google Shopping insights — their prices, titles, creatives. We form a positioning hypothesis (why the client will buy from us and not a competitor).
  4. How: only after that do we build the roadmap. If there’s no history — 8 weeks of Standard Shopping. If there is — straight to PMax, but with 2-3 Asset Groups based on the analytics.

The result: in 9 out of 10 cases clients reach their target ROAS 40-60 days faster than with “let’s launch PMax and see.” That’s not magic — it’s a structured approach. More about our cases here: leadprice.com.ua/en/cases-en.

FAQ: Standard Shopping vs Performance Max

Can Standard Shopping and Performance Max run at the same time?

Yes, but with care. Google says PMax takes priority over Standard Shopping in the auction, so if you run both campaigns on the same product feed, they’ll compete. The right strategy: Standard Shopping on the whole catalog with Priority: Low, PMax on the top 20% of products (bestsellers) with a separate custom label. Or: Standard Shopping for the cold audience (broad match), PMax for remarketing + lookalike. But if the budget is <$2,000/mo, better to go sequentially: Standard Shopping for 6-8 weeks first, then migrate to PMax.

How many conversions are needed to launch PMax with Target ROAS?

Google recommends a minimum of 50 conversions in the last 30 days for the Target ROAS strategy. In practice we see the algorithm start working stably from 30 conversions (purchases, not add-to-cart). If you have fewer, use Maximize Conversion Value without Target ROAS for the first 3-4 weeks until statistics accumulate. Then switch to Target ROAS, setting the value 15-20% below the actual ROAS over those weeks (giving Google “air” for optimization). If conversions are <10/month, it’s too early for PMax — stay on Standard Shopping or add other channels (Meta/TikTok) to gather data.

Is it true that Standard Shopping will disappear and everyone will move to PMax?

No. In 2023 Google migrated Smart Shopping (the automated version) into Performance Max, but Standard Shopping (with manual bid control) remained. Moreover, in Q4 2023 Google restored the ability to create new Standard Shopping campaigns after a temporary restriction. The reason is simple: large retailers (100K+ SKUs) can’t manage PMax effectively — they need granular segmentation. Standard Shopping isn’t going anywhere until at least 2026, and will most likely remain as an enterprise tool for good. For small/medium e-commerce it remains the best diagnostic tool before PMax.

What’s the minimum budget for a Standard Shopping test?

It depends on the niche and CPC. The formula: (average niche CPC × 100 clicks) × 30 days / 30 = daily budget. For example, in the electronics niche the average CPC is $0.80. To gather statistically significant data (100 clicks) you need $80/day or $2,400/mo. In practice we recommend a minimum of $25-35/day ($750-1,050/mo) for catalogs of up to 100 SKUs. If the catalog is 500+ products — $50-70/day. A smaller budget won’t produce enough data for conclusions. If your budget is <$500/mo, Standard Shopping will show too rarely — better to start with Meta Ads or organic SEO to first build a database about the audience.

Can Standard Shopping data be used for Meta Ads?

Yes, and it’s one of the underrated bonuses. Search Terms from Standard Shopping show what people are actively searching for (high intent). These queries can be used for:

  • Meta creatives: if “safe for children” appears often in Search Terms, that’s a pain point — use it in the headline of a Meta Ads creative.
  • Lookalike audiences: export the list of converters from Standard Shopping, upload it to Meta as a Custom Audience, create a 1-3% Lookalike.
  • Product testing: products with the highest CTR in Standard Shopping usually have high engagement in Meta Catalog Ads.
  • Retargeting strategy: people who clicked in Standard Shopping but didn’t buy are a warm audience. Add them to Meta remarketing with a discount offer.

We regularly use these cross-channel insights in projects. For example, in the FZone case (an aesthetic medicine clinic, but the principle is the same) data from Google Ads about top queries helped rewrite the Meta creatives — CTR grew 40%. More about our integrated approach: leadprice.com.ua/en/services-en.

What if Standard Shopping delivered a ROAS <1 after 8 weeks?

That’s a signal the problem isn’t the campaign settings but something deeper. The diagnostic checklist:

  1. Uncompetitive prices: open Google Shopping in incognito mode and search for your top products. If your price is 15%+ above competitors, CTR will be low. The solution: either lower the price or add a USP to the title (“free delivery,” “3-year warranty”).
  2. The product feed isn’t optimized: check the titles — do they contain the keywords people search for? Check the images — are they high quality (at least 800×800px)? Add custom labels for segmentation.
  3. The site doesn’t convert: look at the Conversion Rate in Google Analytics. If CR is <1%, the problem isn’t the advertising but the UX/price/trust signals on the site. Fix the site first (add reviews, simplify checkout, add payment icons), then come back to advertising.
  4. The niche doesn’t suit Google Shopping: products under $30 or impulse purchases (snacks, accessories) usually work better on Meta/TikTok, where there’s a discovery mode. Google Shopping is intentional search — people already know what they want.

If after fixing these points ROAS is still <1.5, Google Ads may not be your primary channel. Focus on Meta Ads or organic. Not every business suits Shopping — and it’s fine to admit that.

Conclusion: an investment in data = budget savings

To sum up in 3 points:

  1. Standard Shopping isn’t an “old tool,” it’s the foundation. It provides structured data that makes Performance Max 2-3x more effective.
  2. 6-8 weeks of Standard Shopping save 30-50% of the PMax learning budget. In money: if your test budget is $5,000, Standard Shopping first will save you $1,500-2,500.
  3. PMax right away makes sense only if: a) you already have 6+ months of Google Ads history, b) the catalog is <5 SKUs, c) the budget is $10K+ and you’re prepared to spend 60% on learning.

At LeadPrice we’ve walked this path with 14 e-commerce clients. Every time we skipped the Standard Shopping stage (at the client’s request “let’s go straight to PMax”), the average ROAS in M1-M2 was 40-60% lower. When we did it sequentially, the client reached their target economics 2x faster.

This isn’t about “Google recommends otherwise.” It’s about the fact that Google’s KPI is to show you a “simple tool,” while your KPI is to make a profit. Those KPIs don’t always align. Standard Shopping first isn’t over-caution. It’s a pragmatic decision that saves real money.

If you’re currently facing the choice “launch PMax or not,” the answer is: yes, but not now. Standard Shopping first for 6-8 weeks. Gather the data. Then PMax built on that data will deliver results 2-3x faster than “let’s launch and see.”

Need help auditing your current campaigns or building a Standard Shopping → PMax roadmap? We do this regularly. Write to us: leadprice.com.ua/en/contacts-en. The first consultation is a review of your situation and an honest assessment of whether Google Shopping is your channel at all.

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