Ecommerce Growth Case Study · Pet Food
A two-year client relationship. A multi-channel acquisition system. And a 2026 growth phase that materially changed the brand’s monthly revenue and new-customer baseline.
A$6.36M
+225%
Total sales
5,076
+145%
New customers
245,588
+127%
Sessions
6,184
+159%
Completed checkouts
Channel mix
Google Ads • Meta Ads • TikTok Ads • Email Marketing
The short version
The business was already established. The opportunity was not to “launch ads” – it was to create a more repeatable way to acquire customers every month. We rebuilt the growth system around channel roles, stronger creative, audience discovery and better business-level measurement. Within the first six months of 2026, the revenue and customer curve had visibly shifted. By 17 September, Shopify’s equal-period comparison showed total sales up 225% and new customer records up 145%.
What makes this result important?
Average order value barely changed (+1.1%). That means the growth was not manufactured by a much higher basket size. The business grew because more people were finding the brand, more of them were converting, and substantially more new customers were entering the system.
Data source: Shopify Analytics. Comparison shown is Jan 1–Sep 17, 2026 vs Apr 16–Dec 31, 2025 – two equal 260-day periods.
The starting point
The brand was already working. The job was to create headroom.
This was not a brand-new store and it was not a turnaround from zero. The pet food business had been operating for roughly two years, and we had worked with it across that same period. It had a real product, an existing customer base and proven demand.
The challenge at the start of 2026 was different: how do you take a business that already sells and move it onto a new monthly growth curve without relying on one campaign, one audience or one discount?
What were we trying to improve?
- Grow monthly revenue while keeping the acquisition engine sustainable.
- Increase the number of new customers entering the business each month.
- Find audiences and demand pockets with enough potential to scale.
- Build a stronger creative testing system instead of relying on a handful of winners.
- Make Google Ads, Meta Ads, TikTok Ads and email work as one marketing system.
- Judge growth on business outcomes, not just whatever ROAS each platform reported.
Why pet food changes the way we think about acquisition
Pet food is a repeat-purchase category. That changes the economics. The first order matters, but the customer is more valuable when the product earns the second, third and fourth purchase. So our acquisition strategy could not be built around the cheapest possible click or lead. We needed customer volume, quality and retention to work together.
The operating principle
We did not ask, “Which platform should get the credit?” We asked, “What does each channel need to do to move the business forward?”
Channel architecture
How Google, Meta, TikTok and email worked as one system
No single channel was responsible for the result. Google captured active demand. Meta and TikTok helped create and expand demand with stronger creative. Email helped convert and retain the customers already entering the business. The value came from connecting those roles instead of optimizing each platform in isolation.
| Channel | Job in the system | What we used it to learn |
|---|---|---|
| Google Ads | Capture demand already in market and scale high-intent acquisition. | Search and Shopping intent, query quality, conversion signals |
| Meta Ads | Create demand, scale prospecting and retarget users with the strongest messages. | Creative concepts, audience response, acquisition efficiency |
| TikTok Ads | Open up new reach and test hooks/angles quickly with native creative. | Hook strength, new audience pockets, incremental customer volume |
| Email Marketing | Convert more of the demand already created and improve repeat-purchase economics. | Welcome flows, recovery, retention and customer value |
Why this structure mattered
A winning creative concept on TikTok could become a Meta angle. Search behaviour could reveal a product or problem worth building creative around. Email response could show which benefits mattered after the first purchase. Every channel became a source of information for the others.
The strategy
We scaled the system, not just the ad budget
The biggest change was not a single campaign setting. It was the way we connected strategy, creative, audience discovery and measurement. That gave us more ways to grow without asking one channel to do everything.
- One growth strategy, not four channel plans. We stopped treating Google, Meta, TikTok and email as separate worlds. Each channel had a defined role in the customer journey, and learnings moved across the whole account.
- Creative became a growth input. We built around real hypotheses: pain points, product benefits, education, proof, testimonials, behind-the-scenes and offer framing. The goal was not more ads. It was more useful tests.
- Find audiences with headroom. We looked for customer groups, locations and intent patterns that could absorb more spend without destroying efficiency. Creative and platform signals did most of the targeting work; we used the data to decide where to lean in.
- Measure the business, not just platform ROAS. Weekly decisions were anchored to revenue, new customers, sessions, conversion rate and order value. Platform metrics mattered, but blended business growth was the final score.
Creative was a targeting tool
On Meta and TikTok especially, the creative itself helped us find the right people. Different hooks pulled in different customer groups. Educational angles behaved differently from product-led creative. Proof and testimonial-style content opened different pockets of demand again.
Instead of producing endless near-identical versions, we focused on meaningful differences: angle, message, format, hook, proof and offer framing. Once a concept showed potential, we built more around it and moved the learning into the other channels.
Audience discovery was about potential, not tiny targeting boxes
We looked for segments that could take more spend and still produce customers: locations, age groups, intent patterns, search themes and creative responses. The platforms’ algorithms handled much of the delivery; our job was to give them stronger inputs and identify where the headroom was.
The revenue result
Total sales reached A$6.36M – up 225%
The clearest signal was the monthly revenue baseline. The business started 2026 at roughly A$500K in monthly sales and moved to more than A$1M in August. The important part is the shape of the curve: growth happened in steps, then held at a higher level as the acquisition system expanded.
Shopify Analytics: total sales, Jan 1–Sep 17, 2026 vs the previous equal 260-day comparison period.
AOV tells us where the growth really came from
Average order value was A$189.94, only 1.1% higher. In other words, a 225% increase in total sales was not being carried by a dramatic increase in basket size. The growth was primarily volume-led: more traffic, more completed purchases and more customers.
The customer result
New customer records increased 145%
Revenue was only half the story. The number we cared about most was whether the business was adding materially more customers. It was. Shopify recorded 5,076 new customer records in the current comparison period, up 145%.
The monthly pattern matters too. New customer volume rose from roughly 340 in January to around 800 in July and August. That is what created a larger base for future repeat purchase and email revenue.
Shopify Analytics: new customer records. The 2026 curve moves to a materially higher monthly baseline.
Why this mattered in a repeat-purchase category
For pet food, the value of acquisition does not stop at the first transaction. Adding more good-fit customers creates a larger pool for repeat purchase, lifecycle email and future product demand. That is why we treated customer growth as a business asset, not just a platform conversion count.
Quality of scale
Traffic more than doubled – and conversion rate improved
Scaling traffic is easy if you are willing to buy low-quality visits. The more useful signal is what happens after the traffic arrives. In this case, sessions grew 127% to 245,588 while conversion rate improved 14% to 2.51%.
Shopify Analytics: sessions +127% and conversion rate +14%.
The funnel moved with the growth
The store recorded 16,539 add-to-carts, 9,952 reached checkouts and 6,184 completed checkouts. Completed checkouts were up 159% in the comparison shown.
What actually drove the result
This was not one “winning ad”. It was a compounding growth system.
1. Marketing strategy came before media buying
We gave every channel a job and made decisions based on what the business needed next: capture demand, create new demand, validate new messages, convert undecided shoppers or retain customers.
2. Creative gave the platforms better inputs
We tested meaningfully different messages and formats, then built around the concepts that attracted the right customers. That created more room to scale than simply increasing budget behind the same creative.
3. We kept looking for audiences with potential
Growth came from finding where the next customer pool was – not endlessly narrowing targeting. Search intent, regional performance, demographic response and creative engagement all helped us identify where there was still headroom.
4. We looked at blended business growth
The biggest mistake in multi-channel ecommerce is treating a platform dashboard as the whole truth. Google, Meta, TikTok, email and direct traffic all influence each other. The real scorecard was Shopify: revenue, new customers, sessions, conversion rate and order value.
How do you scale an established ecommerce brand?
You scale an established ecommerce brand by increasing qualified demand and conversion at the same time, then connecting acquisition and retention across channels. In this pet food case, total sales increased 225%, new customer records 145%, sessions 127% and completed checkouts 159%, while average order value moved only 1.1%. The result came from more customers and stronger conversion – not from artificially inflating basket size.
The takeaway
By the first half of 2026, the business had moved onto a new trajectory. The growth was visible month after month in both revenue and new customers, and by 17 September the equal-period Shopify comparison showed a fundamentally larger ecommerce operation than the one entering the year.
The lesson is simple: sustainable scale rarely comes from one platform trick. It comes from the combination of strategy, creative, audience discovery, measurement and consistent execution across the full customer journey.
More client results
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Want a growth system like this for your ecommerce brand?
If you are an established store and want a multi-channel acquisition system built around your real business economics – not one platform’s ROAS – let’s talk. Book a free strategy call.
Data note: All figures in this case study are taken from the supplied Shopify Analytics screenshots. The comparison period displayed is Jan 1–Sep 17, 2026 versus Apr 16–Dec 31, 2025. Both periods contain 260 days. Client and product names have intentionally been omitted.