Google Ads Ecommerce Case Study: How a Packaging Store Reached 9.5x ROAS
A Google Ads ecommerce case study is only useful if it ties spend to tracked revenue. In the first half of 2026, an Australian packaging ecommerce store returned 9.5x ROAS, turning $14,028 of ad spend into $132,746 in tracked revenue, with every month at 7x or better, because tracking came first.
Most ecommerce owners can see clicks, impressions and platform-reported conversions. Far fewer can say what a dollar of ad spend returned in actual sales. That gap is where budgets get wasted.
This case study shows how 3P Digital took an Australian packaging store from no reliable line between spend and sales to a steady return, using our Profile, Plan, Perform framework. You will get the numbers, the method at framework level, and a checklist you can apply to your own account. The client is identified by sector only.
Key Takeaways
The store turned $14,028 of Google Ads spend into $132,746 in tracked revenue in the first half of 2026, a 9.5x return.
Every month returned at least 7x, and the best month reached 12.4x. The floor matters more than the peak.
Tracking was rebuilt first, so Google Ads optimised against real sales rather than inflated or duplicated conversions.
Structure and budget followed buying intent and the product lines the data showed were winning.
Reporting was built around tracked revenue, with monthly reviews instead of reactions to daily swings.
Results depend on margin, range and market. 9.5x proves the method, not a promise.
Summary Table: The Profile, Plan, Perform Approach in This Account
Stage | What we did | Why it mattered |
Profile | Audited and rebuilt conversion and revenue tracking | Google Ads learned from real sales, not noise |
Plan | Restructured campaigns around buying intent and weighted budget to winning product lines | Spend went where buyers were ready to purchase |
Plan | Added negative keywords across May and June | Wasted spend on non-buying searches was cut |
Perform | Live dashboard against tracked revenue, monthly reviews | Decisions followed patterns, not daily swings |
The Result in Plain Numbers
The store spent $14,028 on Google Ads in the first half of 2026 and generated $132,746 in tracked revenue. That is a 9.5x return on ad spend. Its best month reached 12.4x, and no month fell below 7x. All figures come from 3P Digital's client account data.
Metric | Result | Source |
Ad spend, first half of 2026 | $14,028 | Client account data (3P Digital) |
Tracked revenue, first half of 2026 | $132,746 | Client account data (3P Digital) |
Return on ad spend | 9.5x | Client account data (3P Digital) |
Best month | 12.4x | Client account data (3P Digital) |
Monthly floor | 7x or better, every month | Client account data (3P Digital) |
ROAS is tracked revenue divided by ad spend. A 9.5x return means each $1 of spend came back as about $9.50 in tracked sales. It is a revenue measure, not a profit measure, which we come back to in the caveats below.
Why a 7x Floor Matters More Than a 12.4x Peak
One strong month proves very little. A promotion, a seasonal surge or a lucky week can lift ROAS for reasons you cannot repeat. A floor is different. When every month in a six-month window returns at least 7x, the return is a property of the account, not the calendar.
That matters for planning. Stock orders, cash flow and hiring all depend on whether you can expect a return next month. A store that swings between excellent and poor months cannot plan, so it cannot confidently scale spend.
Six months is still a short window. We would want a full year, including peak season, before calling the pattern settled. The point is that the method produced consistency, which is what lets an owner make decisions with confidence.
Profile: Fixing Conversion Tracking Before Touching the Budget
Profile means auditing conversion tracking before changing anything else. Google Ads optimises towards whatever it counts as a conversion. If the count is inflated, duplicated or missing sale value, the algorithm chases the wrong signal. The packaging store had clicks but no reliable line from ad spend to sales, so tracking was rebuilt first.
This is the step most accounts skip. It is also the step every other decision depends on. Traffic and activity are not results. Only tracked revenue counts, so the account had to be able to see it.
Why Platform-Reported Conversions Mislead
Google Ads reports what it is told to count. If page views, add-to-carts and purchases all sit in the same conversion column, the reported conversion total climbs while revenue does not. A dashboard full of conversions can look healthy while sales stay flat.
It also affects bidding. According to Google Ads Help, automated bidding strategies use your conversion data to decide how much to bid on each auction. Feed them weak data and they optimise confidently towards the wrong outcome.
What a Tracking Audit Checks
These are the checks we run on an ecommerce account. They describe our process, not a list of faults found in this particular store.
Which actions are set as primary conversions, and whether only completed purchases drive bidding.
Whether the purchase tag fires once per order, not again when someone refreshes or revisits the confirmation page.
Whether the real transaction value reaches Google Ads, rather than a fixed placeholder.
How GST, shipping and discounts are treated in that value, so revenue matches how the store reports its own sales.
Whether browser and consent limits are dropping sales from the data, and whether enhanced conversions are needed to recover that signal.
Whether Google Ads totals reconcile with the store's own order records for the same period.
Reconcile Against the Store, Not Just the Platform
The last check is the most useful. Take a week of orders from your store backend and compare it to what Google Ads says it drove. The two will never match perfectly, because attribution rules differ. But they should tell a similar story.
If Google Ads claims far more than the store recorded, you have inflation. If it claims far less, you are likely starving a campaign that works. Either way, you cannot make a sound budget decision until the gap is understood. That is the foundation of conversion tracking for ecommerce Google Ads, and it is why the 9.5x figure is credible: it is a tracked-sales number.
Plan: Structuring Campaigns Around Buying Intent
Plan means directing structure and budget to the products and search queries where buyers are already looking to purchase. Instead of spreading spend evenly, the packaging store's campaigns were restructured around buying intent, and budget was weighted to winning product lines, with negative keywords removing searches that would never buy.
Packaging is a price-driven category. Buyers compare suppliers, check quantities and move quickly to whoever has the right product at the right price. In a market like that, the quality of a click matters far more than the quantity. This is buyers, not vanity traffic.
Start Where the Buyers Are
Search intent is the sorting principle. Someone searching for a specific product they can order is closer to a purchase than someone researching a topic. Campaign structure should reflect that gap, so budget and bids can be set separately for high-intent demand.
The same logic applies whether you run Shopping campaigns, search campaigns or both. Group demand by how close it is to a sale. Then give each group its own budget, its own targets and its own reporting line. Blending everything into one campaign hides which searches earn money and which only generate clicks.
Weight Budget to Winning Product Lines
Not every product earns its place in the budget. Some lines convert reliably. Others attract clicks and rarely sell. Because tracking now showed real sales value by product line, budget could be weighted to the lines that returned the most revenue.
This is the payoff of the Profile stage. Without trustworthy revenue data, weighting budget is guesswork. With it, the decision is straightforward: fund what sells, and hold back what does not until the data says otherwise.
Police Wasted Spend Continuously
Across May and June, 3P Digital added 85 negative keywords to the account. Negative keywords stop your ads showing for searches you have decided are not worth paying for. According to Google Ads Help, they let you exclude terms so your ads reach people more likely to buy.
The effect was direct. Those negative keywords cut close to $1,000 of wasted spend from a $14,028 budget. That money was not saved and parked. It stayed in the account and was redirected towards searches that sell.
In any packaging category, the usual culprits are searches from people researching, looking for free options or wanting something you do not stock. The exact list is specific to each store and changes as search behaviour changes. That is why we treat it as ongoing work, not a one-off clean-up. Every dollar works harder when the leaks are closed.
Perform: Reporting Against Tracked Revenue, Not Daily Swings
Perform means reporting against tracked revenue on a live dashboard and optimising on a monthly rhythm. Daily swings in ROAS are mostly noise, especially in smaller accounts. Monthly reviews of tracked revenue by campaign and product line let us act on patterns, not reactions, which helps keep returns steady.
The third stage of Profile, Plan, Perform is where discipline shows. Plenty of accounts are set up well and then damaged by constant tinkering. Results, not activity reports, are the standard.
A Live Dashboard Built on Tracked Revenue
The client sees spend, tracked revenue and ROAS on a live dashboard. The headline numbers are revenue and return, not impressions or click counts. If a number cannot be tied to sales, it is not the headline.
This is a deliberate position. Many businesses that have tried other agencies tell us they received reports full of activity and little clarity on results. A report that proves effort but not revenue leaves the owner exactly where they started.
Monthly Reviews, Not Daily Reactions
An ecommerce account will have a bad day. Pausing campaigns or slashing bids in response to a single day's ROAS usually does more harm than the dip itself. Smart Bidding strategies also need time and data to learn, and constant changes reset that learning.
So we review monthly. We look at tracked revenue by campaign and product line, decide where budget should move, and review the negative keyword list. Between reviews, the account is monitored for genuine problems such as broken tracking or a stock issue, but not tweaked for the sake of it.
This rhythm is part of why the account held a 7x floor. Fewer reactive changes meant fewer self-inflicted dips.
Accountable Execution
We keep engagements month to month, with no lock-in. If the numbers do not justify the spend, the client can walk away. That structure is part of why 3P Digital holds a 98% client retention rate across more than 250 clients (3P Digital data). Results keep clients, not contracts. You can read more client results on our case studies page.
What Other Ecommerce Stores Can Take From This
Other stores can apply the same three principles: trustworthy tracking, intent-led structure and revenue-based reporting. They are framework-level steps, not tricks, and they apply in any category. Results still depend on your margin, product range and market, so treat 9.5x as proof of the method, not a promise.
A Short Checklist
Trustworthy tracking. Confirm only real purchases drive bidding, each order counts once, and the true sale value reaches Google Ads.
Reconcile to your store. Compare Google Ads revenue to your own order records every month and understand the gap.
Intent-led structure. Separate demand by how close it is to a sale, and give high-intent searches their own budget and targets.
Revenue-weighted budget. Fund the product lines that return tracked revenue. Do not fund them equally by default.
Continuous negative keywords. Review search terms regularly and block searches that never buy.
Revenue-based reporting. Make tracked revenue and ROAS the headline. Review monthly, and do not react to single days.
If you want help putting this in place, our performance marketing services and our paid media work follow exactly this sequence. For a wider view of what to track beyond ROAS, our guide on ecommerce performance marketing in Australia covers the next layer of measurement.
Honest Caveats
ROAS is not profit. A 9.5x return on revenue says nothing about margin. Your break-even ROAS depends on your gross margin, shipping and returns. Know that number before you set targets.
One account, six months. This is a single store over the first half of 2026. It shows the method working. It does not guarantee the same figure for you.
Category and market matter. A price-driven category, a particular product range and Australian demand all shaped this result. A different range or market will behave differently.
Tracked is not the same as total. Tracked revenue is what we can prove. Some real sales will always sit outside it.
Why We Fix Tracking Before We Ask for More Budget
Most advice says better Google Ads results need a bigger budget. We hold the opposite view: keep spend flat, fix tracking and targeting, then scale only where tracked return justifies it. Budget added to an account you cannot measure just scales the guesswork.
The packaging store is one example. The account had clicks but no reliable line from spend to sales. Rebuilding tracking around real sales value let us cut wasted spend and reach a 9.5x return on a $14,028 budget. The first move was not spending more. It was knowing what the spend was doing.
The same pattern showed up with a technology advisory firm. We held its paid budget flat and rebuilt its conversion tracking. According to 3P Digital's client data, the result was 44% more ad clicks on the same budget, with cost per click down 30%. Clicks are not the result, but cheaper, better-targeted clicks are a sign the account is pointed in the right direction.
This is also where we disagree with the reporting habits of much of the industry. Traffic and activity are not results. An agency that proves its worth with growing impressions and click counts is proving its own activity, not your return. If a report cannot tell you what your spend returned in revenue, it is not finished.
The practical rule: scale in steps, only on campaigns and product lines where tracked return clears your break-even with room to spare. Increase budget there, watch the next monthly review, and repeat. That is how a 7x floor stays a floor as spend grows.
Find Out What Your Google Ads Spend Really Returns
If you can see clicks and conversions but cannot tie spend to real revenue, start with tracking. A Google Ads and tracking review shows what your spend returns, where it leaks, and what to fix first. It is the same Profile stage that sat behind this result.
Book a Google Ads and tracking review and we will show you what your spend really returns. Want to see more first? Browse more client results.
FAQs
What is a good ROAS for ecommerce Google Ads?
A good ROAS is one that clears your break-even with room to spare, and that depends on margin. Break-even ROAS is 1 divided by your gross margin as a decimal. In this case study, the store returned 9.5x, with every month at 7x or better.
How do you calculate ROAS?
Divide tracked revenue by ad spend. In this case study, $132,746 in tracked revenue divided by $14,028 in spend gives a ROAS of about 9.5x. The result is only as reliable as the revenue tracking behind it, which is why we audit tracking first.
How do you improve ROAS in Google Ads for ecommerce?
Fix tracking so Google Ads optimises against real sales. Then structure campaigns around buying intent, weight budget to product lines that return tracked revenue, and block non-buying searches with negative keywords. Review monthly. Scale spend only where tracked return justifies it.
Why don't my Google Ads conversions match my store's sales?
Common causes include counting non-purchase actions as conversions, a purchase tag firing more than once per order, missing or fixed transaction values, and different attribution rules. Comparing Google Ads totals against your store's order records over the same period shows how large the gap is.
Can other ecommerce stores get a 9.5x ROAS?
Not necessarily. This result came from one Australian packaging store over six months. Margin, product range, competition and market all affect return. The method of trustworthy tracking, intent-led structure and revenue-based reporting applies broadly, but the number itself does not transfer.
