What to Fix Before Spending More on Ecommerce Advertising

Key takeaways

• Do not increase ecommerce ad spend until your store converts. More traffic multiplies your current conversion rate and margin, so a weak store loses money faster, not slower.
• Return on ad spend is conversion value divided by ad spend, and Google's automated bidding relies on conversion tracking and conversion data, so clean, sufficient conversion signals matter when you scale.
• About seven in ten online carts are abandoned, and the leading checkout reason is extra costs at 40 percent, so surprise shipping and fees waste the click you already paid for.
• Google indexes and ranks the mobile version of your store and rewards fast pages, with a target of largest contentful paint within 2.5 seconds, and in the ecommerce accounts we manage, most paid traffic arrives on phones.
• Run the readiness checklist below, fix discovery, product pages, mobile, checkout and measurement first, then scale, or book a free Growth Opportunity Review to find your biggest leak.

Start with the economics, not the ad budget

Before you add a dollar to the ad budget, work out whether a single visitor already makes or loses you money. Advertising buys more visitors. It does not change what happens after the click. So the honest first question is not how much more to spend, but whether more visitors to this store, exactly as it is today, would add to profit or eat into it.

When we audit ecommerce accounts, this is where we start, and it is usually the conversation the owner did not expect. Everyone wants to talk about the ad platform, the creative and the targeting. The numbers that decide whether the spend pays are almost always sitting inside the store instead. The general, cross-industry version of this readiness test is in What to Fix Before Spending More on Google Ads or Paid Social. This article is the ecommerce version: store economics, product pages, checkout and the numbers only a store has.

What more ad spend actually does to a weak store

More ad spend is a multiplier, and it multiplies losses just as happily as gains. Picture two stores spending the same amount on ads each month. The first turns a good share of its visitors into orders and makes a healthy margin on each one. The second loses most of its visitors at the product page or the checkout and runs a thin margin on the few orders it keeps. Double the traffic to both, and the first store roughly doubles its profit while the second roughly doubles its loss. The ads did not fail. They faithfully sent more people into a store that was already leaking, and you paid full price for every one of them.

The numbers that decide whether more spend pays

Return on ad spend tells you how much attributed conversion value you earn for each advertising dollar, which Google defines simply as conversion value divided by ad spend. Its own example is five dollars in sales for every dollar spent, a 500 percent return (Google Ads Help, About Target ROAS bidding). It does not, by itself, tell you whether those sales are profitable, because it ignores your product cost, returns and fulfilment. Underneath it sits the ratio that actually moves: your cost per conversion, which Google calculates by dividing total cost by the number of conversions (Google Ads Help, Understand your conversion tracking data). When your conversion rate is low, each dollar of clicks produces fewer orders, so your cost per order rises and your return falls, with no change to the ads at all.

There is a second reason a weak store hurts your advertising, and it is less obvious. Modern campaigns bid automatically, and Google's bidding “optimize[s] for conversions across every ad auction,” predicting “the conversion rate for a click in each auction” from the signals it sees (Google Ads Help, How Google Ads calculates bids). It cannot do that without your conversion data. Google states plainly that “to use Google Ads Smart Bidding, you need to have conversion tracking enabled,” and that results come faster with a solid base of conversions (Google Ads Help, About Smart Bidding). A store with very little conversion volume gives the bidding system less direct conversion signal from that store, which makes performance harder to evaluate and optimize. The store and the ads are one system, and the cleaner your conversion signal, the better the platform can spend.

Know your break-even ROAS

Your break-even ROAS is set by your margin, not by the ad platform. Start with the contribution margin left after product cost and other variable order costs, but before advertising. A store that keeps 40 percent of revenue at that point breaks even on advertising at a ROAS of about 2.5, because one divided by 0.40 is 2.5. Your actual target will normally need to sit above break-even to contribute toward fixed overhead and profit. This is the number that turns “should we spend more” into a question you can actually answer.

The leaks that turn paid traffic into wasted spend

Between the ad click and a repeat customer there are a handful of predictable places a store loses people, and you are paying to send visitors straight into each one. The point of the sections below is to find which leaks you have before you widen the pipe feeding them.

We think of it as a journey with known failure points: the visitor has to find the right product, get enough from the page to decide, do all of it comfortably on a phone, complete a checkout without friction, not be ambushed by costs at the end, be brought back if they stall, and be worth more than one order. Miss any step and the click is wasted. The table below is how we help owners spot their own leaks, and it doubles as the running order for the rest of this article.

Make sure the right people can find the right products

A paid click lands on one page, but real buyers browse, so if your categories, internal links and product data are weak, most of that traffic never reaches what it came for. Discovery is the first leak because it wastes the click before the visitor has even seen your best work.

Google finds products by following links through your store, and it is direct about the risk: “if category pages don't include direct links to all products in a category, Googlebot might not find all of your products by crawling alone,” which is why it wants real links “from menus to category pages... and finally from sub-category pages to all product pages” ( Google Search Central, Ecommerce site structure). The same weakness that hides products from Google hides them from a shopper using your own search and menus.

For the products you also advertise through Shopping and free listings, the data behind them has to be right. Google requires the core attributes, a title, description, image, availability and price, and it insists the price and availability “match... from your landing page” (Google Merchant Center Help, Product data specification). Google has announced a 500 by 500 pixel minimum for product images beginning January 31, 2027, and recommends larger, high-quality images today, free of promotional overlays or watermarks (Google Merchant Center Help, Image link). Descriptions do double duty when they “match search terms used by shoppers” (Google Search Central, Where ecommerce data can appear on Google). Get discovery right and the same fixes feed your organic traffic, your Shopping ads and your on-site search at once. Getting found is the front of the whole system, and it is what our visibility and authority system is built to strengthen.

Give your product pages enough for a visitor to decide

A product page has to answer a buyer's questions on its own, because the ad already spent money to bring them there and a thin page sends them straight back to search. This is where a lot of paid traffic is lost: the visitor arrived interested and left unconvinced.

Google's people-first guidance is a good checklist for a page that earns the order. It asks whether your content “clearly demonstrate[s] first-hand expertise and a depth of knowledge... from having actually used a product,” and whether a visitor “leave[s] feeling like they've had a satisfying experience” ( Google Search Central, Creating helpful, reliable, people-first content). Google's guidance for high-quality product reviews is a useful checklist for the same job: show real evidence and images, “explain what sets something apart from its competitors,” and give the measurements a buyer actually weighs (Google Search Central, Write high quality reviews). Clear images, honest specifications, availability and trust signals are what turn a view into an add-to-cart.

There is a bonus that most owners do not connect. A better page does not only convert more visitors, it can lower what you pay for them. Google counts “ad and landing page quality” in Ad Rank and says “higher quality ads can often lead to lower CPCs,” so “you pay less per click when your ads are higher quality” (Google Ads Help, About Ad Rank), and it names “landing page experience” as a component of Quality Score, itself a diagnostic rather than an auction input (Google Ads Help, About Quality Score), recommending you “make your website mobile friendly” and “improve loading speed” to raise it (Google Ads Help, 5 ways to improve Quality Score). Fix the page once and you improve conversion and ad cost together. This is the kind of work our website and conversion system is built around.

Win on mobile and speed before you pay for more clicks

Google both indexes and ranks the mobile version of your store, and in the ecommerce accounts we run, most paid traffic arrives on a phone, so a slow or clumsy mobile experience wastes the majority of your budget. For a store, speed is a revenue and ad-cost issue before it is a technical one.

Google is unambiguous that it “uses the mobile version of a site's content, crawled with the smartphone agent, for indexing and ranking,” which it calls mobile-first indexing (Google Search Central, Mobile-first indexing best practices). On top of that, it measures the experience through Core Web Vitals, with clear targets: largest contentful paint within 2.5 seconds, interaction to next paint of 200 milliseconds or less, and cumulative layout shift of 0.1 or less (Google, Web Vitals). Google states that “Core Web Vitals are used by our ranking systems” (Google Search Central, Understanding page experience).

The business effect is measurable in Google's own case data. In an A/B test, Vodafone found that “a 31% improvement in LCP increased sales by 8%” (Google, Why does speed matter?). If your mobile store is slow, you convert fewer of the visitors you paid to bring there, and every one of those clicks cost you money.

Fix the checkout, where most of the money leaks

The checkout is the single most expensive leak, because the visitor already decided to buy, and the average online cart abandonment rate sits near 70 percent. A large share of abandonment is natural browsing, but once those shoppers are set aside, many of the leading checkout reasons are fixable design choices, which is why this is usually the fastest money in the store.

The Baymard Institute, an independent usability-research firm, puts the documented average cart abandonment rate at 70.22 percent across 50 studies (Baymard Institute, cart abandonment statistics). When it asked people who abandoned during checkout why, the answers read like a to-do list: 18 percent left because “the site wanted me to create an account,” 17 percent because the checkout was “too long / complicated,” 19 percent because they “didn't trust the site with... credit card information,” and 9 percent because “there weren't enough payment methods.” Length is a big culprit: Baymard's current benchmark finds the average US checkout shows 23.48 form elements by default, or 14.88 actual form fields, while an optimized flow needs only 12 to 14 elements, or 7 to 8 fields. The prize for getting this right is large, and Baymard estimates a better checkout could lift the average large store's conversion rate by 35.26 percent.

Offer guest checkout, cut every field you do not truly need, add the payment methods your buyers expect, and make the page feel safe. Each removed obstacle is an order you already paid to win.

Stop surprising buyers with costs at the end

The number one reason people abandon checkout is extra costs appearing late, cited by 40 percent of those who leave, so hidden shipping, tax and fees are the single fastest way to waste an ad click. In Canada, advertising a price that buyers cannot actually obtain because of mandatory seller-imposed fees can also violate the Competition Act.

That 40 percent figure is the top reason on Baymard's list. You paid to bring the buyer all the way to the final step, and then a shipping charge they did not expect sent them away. The fix is not complicated: show the all-in cost early, be honest about shipping, and do not save the surprises for the last screen.

For Canadian sellers this is not optional. The Competition Bureau treats “drip pricing,” which it defines as “offering a product or service at a price that is unattainable because consumers must also pay additional charges or fees,” as false or misleading “unless the additional charges or fees are imposed by the government, such as sales tax” (Competition Bureau Canada, Drip pricing). The Competition Act puts it in plain statute: representing “a price that is not attainable due to fixed obligatory charges or fees constitutes a false or misleading representation,” with a carve-out only for government-imposed amounts (Justice Laws Canada, Competition Act section 74.01). In the United States the trend runs the same way. The Federal Trade Commission's fee rule currently binds only live-event ticketing and short-term lodging, not general online retail, but the FTC has said it “will use its law enforcement authority to continue to rigorously pursue bait-and-switch pricing tactics, such as drip pricing and misleading fees, in other industries” (Federal Trade Commission, junk-fees rule announcement). Honest, up-front pricing keeps you onside and keeps the sale.

Recover and keep the customers you already paid for

You paid for the click whether or not the order completed, so the cheapest growth in ecommerce is finishing the carts you already have and turning first orders into repeat buyers. Both are about getting more from traffic you have already bought, rather than buying more.

Recover the carts that stall

A large share of the people who abandon were ready to buy and got tripped by one obstacle. Following up with them, through a timely email reminder or a retargeting touch, brings back a buyer who was one step from ordering, which is why recovery is some of the highest-return work in the store. Recovery only works, though, if you are capturing the right events, so you can see where begin-checkout turns into a completed purchase and where it does not.

Turn a first order into repeat business

In repeat-purchase categories, first-order ROAS can understate the real economics, because the second and third orders often add revenue without another acquisition cost. A store that treats every sale as a one-off has to keep buying customers forever, while a store that earns repeat business compounds the spend it has already made. This is where clean customer records and follow-up matter, and it is the work behind our CRM and automation system. We saw the pattern with Picard Peanuts, whose direct ecommerce growth included online sales up 350 percent, website traffic up 145 percent, and online visibility up 1,400 percent. That is a whole-system ecommerce result, not proof that any single tactic produced it.

Get the marketplace and omnichannel handoffs right

Many ecommerce brands sell on their own store, on marketplaces like Amazon, and through retail partners, and if those paths are not measured together, ad spend on one channel takes credit or blame it does not deserve. The website is often the top of the funnel for sales that finish somewhere else.

A shopper discovers you through a paid click, researches on your site, and then buys on Amazon or at a retailer, so the website looks unprofitable while it is quietly driving sales you are crediting elsewhere. We worked through exactly this website-to-marketplace and retail journey with KUCHT Canada, where website traffic rose 1,282 percent and active users 2,639 percent, alongside 582 tracked marketplace interactions and 71 percent Amazon and 73 percent RONA year-over-year sales growth. To be precise about what that shows: the 582 are tracked click-outs and interactions, not confirmed purchases, and the marketplace and retail growth reflect a connected omnichannel effort, not website click-outs acting alone. The lesson is to measure the paths together before you decide which channel to feed. We go through how to do that in when your website influences a sale that happens on Amazon or another retailer.

Fix measurement so you can tell what is actually working

You cannot decide whether to spend more if you cannot see which spend produced sales, and after recent privacy changes that measurement has to be rebuilt on purpose rather than assumed. Weak measurement is why so many owners cannot answer a simple question: did the last budget increase pay?

Start with the ecommerce events. Google Analytics tracks the shopping journey through events like add to cart, begin checkout and purchase, which “track user shopping behavior to measure product popularity and the influence of promotions and product placement on revenue” (Google, Measure ecommerce). On the ad side, conversion measurement “analyzes specific actions that users take on your website after interacting with your Google Ads,” so you can “understand your return on investment” and feed the automated bidding we discussed earlier (Google Ads Help, About conversion measurement). Privacy changes have put gaps in that data, which is why Google now offers consent mode to “communicate your users' cookie... consent status” and behavioral modeling that “uses machine learning to model the behavior of users who decline analytics cookies” (Google Ads Help, About consent mode; Google Analytics Help, Behavioral modeling for consent mode). Accurate conversion values make your own decisions better and make the ad platform's bidding better at the same time.

Connecting all of this into one clear view is part of our ecommerce revenue system, where the reporting is tied to revenue rather than sessions.

How to know your store is ready for more ad spend

Your store is ready to scale when a typical visitor already makes you money and the leaks above are closed. The check below is the pre-flight we run before recommending any client raise their budget, because scaling a store that passes it compounds, while scaling one that fails it just leaks faster.

When these are green, more spend compounds instead of leaking. When they are not, the budget increase you were about to make is better spent fixing the store first.

Fix the store, then scale the spend

More ecommerce advertising is a good decision only after the store is ready to receive it. Get the economics right, close the leaks in discovery, product pages, mobile, checkout, pricing, recovery, repeat business and measurement, and more spend finally builds on itself instead of draining away.

If you want a second set of eyes on where your store leaks today, book a free Growth Opportunity Review and we will show you which fixes will do the most before you spend more.

Frequently asked questions

Should I pause my ecommerce ads while I fix the store?

Usually, no. If tracking is working and the traffic is still economically defensible, keep a controlled baseline running while you fix the store, because live traffic is how you find and confirm the leaks and your automated bidding depends on a steady flow of conversion data. Hold spend steady rather than scale it, use the traffic you are already paying for to diagnose where visitors drop off, and only raise the budget once the store is holding onto them. If tracking is broken, the checkout is failing, or you are out of stock, pausing or cutting back until it is fixed is the right call.

How do I tell whether my problem is traffic or conversion?

Look at where the drop-off is. If you are getting plenty of sessions but few orders, the problem is conversion, and more ad spend will make it worse before it makes it better. If you are barely getting sessions, the problem is discovery or reach. The clearest single check is your funnel: compare how many people begin checkout with how many complete a purchase. A wide gap there is a store problem, not a traffic problem, and no budget increase fixes it.

What conversion rate should I hit before scaling?

There is no official benchmark, and any specific number you see quoted usually traces back to marketing blogs rather than a primary source, so we would not anchor a budget decision to one. The honest test is your own unit economics and trend: is a typical visitor profitable at your current conversion rate and margin, and is that rate improving as you fix the store? If yes, you can scale. If a visitor loses you money today, a higher number of visitors loses you more.

Is it legal to add shipping and fees at the end of checkout?

It depends on what you are adding, and this is not legal advice. Government-imposed taxes are treated differently from seller-imposed mandatory fees, though pricing and disclosure rules vary by jurisdiction. In Canada, advertising a price a buyer cannot actually pay because of mandatory seller fees is drip pricing, treated as a false or misleading representation under the Competition Act, with an exception for government charges like sales tax (Competition Bureau Canada, Drip pricing). US retailers are not covered by a dedicated federal fee rule for general retail yet. Wherever you sell, disclose unavoidable fees up front and show the all-in price before the final step.

How long before fixing the store pays off?

Some of it starts immediately. A cleaner checkout or a faster mobile page improves the experience for the very next visitor, though you still need enough data to measure the conversion impact reliably, which shows up in the gap between people who begin checkout and people who complete a purchase. The paid side takes a little longer, because automated bidding needs a fresh run of conversion data to recalibrate, and Google suggests judging performance over a window with at least 30 conversions, or 50 for Target ROAS (Google Ads Help, About Smart Bidding). Give the change a few weeks of clean data before you judge it, then scale.

References

1. Google Ads Help. About Target ROAS bidding; Understand your conversion tracking data; How Google Ads calculates bids; About Smart Bidding.
2. Google Ads Help. About Ad Rank; About Quality Score for Search campaigns; 5 ways to use Quality Score to improve your performance.
3. Google Ads Help. About conversion measurement; About consent mode.
4. Google Search Central. Ecommerce site structure best practices; Where ecommerce data can appear on Google.
5. Google Search Central. Creating helpful, reliable, people-first content; Write high quality reviews.
6. Google Search Central. Mobile-first indexing best practices; Understanding page experience in Google Search results.
7. Google Merchant Center Help. Product data specification; Image link attribute.
8. Google. Web Vitals; Why does speed matter? web.dev.
9. Google. Measure ecommerce with Google Analytics. Google for Developers; Google Analytics Help. Behavioral modeling for consent mode.
10. Baymard Institute. Cart abandonment rate statistics (independent original research).
11. Competition Bureau Canada. Drip pricing. Government of Canada.
12. Justice Laws Canada. Competition Act, R.S.C. 1985, c. C-34, section 74.01.
13. Federal Trade Commission. Federal Trade Commission Announces Bipartisan Rule Banning Junk Ticket and Hotel Fees.
14. Lime Advertising. B2C ecommerce growth.
15. Lime Advertising. Ecommerce revenue system, website and conversion system, CRM and automation system, and visibility and authority system.