Website Audit · SEO Audit · Google Ads Audit — Retail · Ecommerce · Shopping & PMax
Ecommerce PPC & SEO Audit — retail is leaking leads where your dashboard can’t see.
Our ecommerce website audit and SEO audit covers Google Ads for SMB and mid-market retailers running Search, Shopping, and Performance Max. Product feed health, asset group decay, landing page conversion rate, branded search cannibalization — the audit maps every leak and the revenue it's costing you per week.
Why retail is different
Your feed is your strategy.
- Performance Max hides asset-level waste. Google's black-box optimization can absorb a meaningful share of spend on creative you can't see or turn off — Tinuiti and Search Engine Land have both documented how opaque the channel remains. The only way to surface where the waste lives is to diff asset-group performance against a clean baseline; the dashboard shows only the average.
- Broken product feeds silently kill Quality Score. Missing GTINs, bad titles, empty product types, and unassigned categories push your ads into the wrong auctions — and the algorithm punishes the whole account. Retailers with optimised product titles and complete attributes see materially lower CPCs on Shopping (WordStream's Google Ads Shopping benchmarks consistently show feed quality as the single largest Shopping-CPC lever) — the feed is the single biggest Quality Score lever in ecommerce.
- Branded search cannibalization masquerades as PMax wins. If you're not excluding your brand terms from PMax, the algorithm is taking credit for revenue you would have captured for free. Industry research from Tinuiti and Search Engine Land consistently shows that without brand-exclusion lists, a substantial share of PMax-attributed revenue is branded traffic that would have converted organically.
- Shopping landing pages rarely match the ad. A product listing ad drops visitors onto a PDP, but the PDP assumes the visitor already wants the product. Wrong funnel stage = wrecked conversion rate. Collection or category pages typically convert cold Shopping traffic at 1.5–2× the rate of a raw PDP — but nobody tests it because the product feed points where it points.
Retail self-assessment
Five questions your dashboard should answer.
If your current reporting can't answer these, the numbers you're optimising against are incomplete — and every budget decision built on them compounds the gap.
- 01What percentage of your Performance Max revenue comes from branded search you would have won organically?
- 02Which asset groups in PMax are driving incremental revenue, and which are just spending?
- 03What is your product feed's attribute completeness rate — and how does it compare to the top 3 Shopping competitors on your highest-volume keyword?
- 04What is your true cost per acquisition when you separate new customers from repeat purchasers?
- 05Which landing pages convert cold Shopping traffic at the highest rate — and are they the ones your product feed actually points to?
If you can't answer three of these, your dashboard is hiding the real story. A Signostic retail audit answers all five in 48 hours — with the numbers, the root causes, and a fix list ordered by revenue impact.
CPC reduction going from QS 4 to QS 8 on high-volume retail keywords — Search Engine Land analysis
Higher CPL at 2% vs 5% CVR — funnel math on fixed traffic. Retail e-commerce CVR ~4.0% per WordStream 2026
Typical turnaround on a full retail diagnostic. 5 business days max.
Top 7 documented patterns
The seven leaks that cost ecommerce and retail operators the most.
These seven show up across SMB-retail accounts consistently enough that any given account will recognise at least four as live — most operators have five or six. Ordered by revenue impact on a typical SMB to mid-market retail account.
Product feed gaps
Missing GTINs, generic product titles, unassigned categories, no custom labels for margin or seasonality. The single biggest lever on Shopping and PMax performance — and the one most operators never audit.
PMax brand cannibalization
No brand exclusion list on PMax means the algorithm takes credit for branded search you would have won organically. Without brand exclusions, PMax can inflate reported ROAS by 2–4x on revenue you would have captured for free.
PDP landing-page mismatch
Shopping clicks drop visitors onto product detail pages that assume purchase intent. A higher-funnel category or collection page often converts better for cold traffic — but nobody tests it.
Search term report rot
Six months of irrelevant search queries go unnegated. On a broad-match campaign, that's 20–40% of spend going to terms you'd never approve if you saw them — but you only see the top 20% of search terms Google decides to show you.
Quality Score decay
Ad relevance below average on half the ad groups, expected CTR declining on brand terms because ad copy hasn't been touched in a year. Recovery takes 30–60 days of restructuring but pays back in CPC reduction alone.
Category page SEO gaps
Thin or duplicate content on category pages kills organic rankings for high-volume commercial terms. "Women's running shoes" with 30 words and a product grid isn't a page Google can rank — competitors with 200+ words of buying-guide content and structured filters take the traffic you're paying for on Search.
Product schema gaps
Missing or incomplete Product structured data means no rich results in organic Shopping — no price, no rating, no availability badge in the SERP. Retailers with complete product schema see 20–35% higher organic CTR on PDPs. Most SMB stores have none.
PMax reality check
Three questions PMax can't answer for you.
Performance Max optimises inside a black box. These are the three structural blind spots that no amount of bid strategy tuning will fix — you need external measurement to see them.
Brand cannibalization test
How much of your PMax revenue would you have captured organically? Industry research from Tinuiti and Search Engine Land consistently shows that without brand-exclusion lists, a substantial share of PMax-attributed revenue is branded traffic the retailer would have won for free. The only way to measure it is to isolate branded traffic externally — PMax won't show you.
Asset group decay curve
When spend holds steady but conversions decline over a 4–8 week window, the asset group is coasting on frequency — showing the same creative to the same audience with diminishing returns. PMax doesn't surface this by default. You need to plot the curve externally to know when to refresh.
Incrementality question
Is PMax growing your revenue, or taking credit for revenue that was already coming? Compare conversion paths for PMax-attributed sales vs organic-only sales. If the paths overlap heavily, PMax is a toll booth — not a demand generator. The audit separates incremental from correlated.
These aren't DIY checklists. Each one requires pulling data PMax doesn't surface in the standard dashboard. The Signostic retail audit runs all three and returns the numbers — how much of your PMax revenue is real, where the decay is, and what's actually incremental.
Frequently Asked
What retail operators ask us about paid media.
Q1Why is my retail Performance Max campaign burning budget with no attributable revenue?
Q2What should a retail product feed look like for Google Shopping?
Q3How much does retail Quality Score actually impact my cost per click?
Q4How do I measure Google Ads driving in-store visits, not just online revenue?
Q5How often should I refresh creative for retail Meta and Performance Max campaigns?
Q6How should I split budget between seasonal peaks like Black Friday and evergreen?
Running ads yourself, no marketing team? See the five-fix quick wins →
48 hours. Full retail diagnostic. No retainer required.
Your Retail Audit Is 48 Hours Away.
Chris Gardner will run your website audit covering Shopping feed, search campaigns, ROAS attribution, and landing page conversion paths — and tell you exactly where margin is leaking. Full implementation available through the same team.
Request a free audit→