Meta Ads vs Google Ads for High-Ticket eCommerce: Our $1M Test
We spent $1 million on ads for a high-ticket eCommerce brand over 12 months.
The goal was simple. Find out which platform works harder for products with an average order value over $1,500. Was it the high-intent clicks from Google Ads, or the powerful discovery engine of Meta Ads?
Most brands just split the budget and hope for the best. We wanted a definitive answer backed by a serious amount of data. The results were not what we expected.
The $1M high-ticket eCommerce experiment setup
I’ve seen many high-ticket brands struggle with paid acquisition. The sales cycle is long, the customer is discerning, and a misallocated budget can burn a hole in your P&L fast. This is why we designed this experiment.
The client is a leader in the premium home goods space. Think bespoke furniture and high-end decor. Their average order value sits around $1,650. Before working with us, they were seeing inconsistent returns and couldn’t figure out how to scale predictably.
We committed to a 12-month, $1 million ad spend test. The budget was split evenly at the start, with $500k allocated to Google Ads and $500k to Meta Ads (Facebook and Instagram).
Our objectives were clear: 1. Increase total revenue from paid channels. 2. Achieve a target blended ROAS of 4.0x. 3. Acquire new customers with a high lifetime value.
The methodology was rigorous. We used a combination of platform data, Google Analytics 4, and a third-party attribution tool, Triple Whale, to get the clearest possible picture. We tracked everything from first touchpoint to final sale, including assisted conversions. We needed to see how each platform influenced the entire customer journey, not just who got the last click.
This wasn’t just about finding a “winner”. It was about understanding the specific role each platform plays in a considered purchase path. The findings from this test have changed how we structure campaigns for all our high-ticket clients, and you can see more of our results with similar brands.
Audience targeting nuances: Meta Ads vs Google Ads for premium buyers
Selling a $2,000 sofa is not like selling a $50 t-shirt. The audience is smaller and their motivations are different. You can’t just target “people interested in furniture”. We had to go much deeper on both platforms.
The core difference is mindset. On Google, you’re capturing existing demand. Someone is actively searching for a solution. On Meta, you’re creating demand. You’re showing someone a beautiful product they didn’t know they needed until that moment.
Our strategies had to reflect this.
Meta Ads: Leveraging lookalikes and ASC for discovery
On Meta, our focus was on finding pockets of wealth and taste. We started with the client’s most valuable asset: their existing customer list. We created a seed audience of their top 10% of customers by lifetime value. From this, we built a 1% Lookalike Audience in Australia. This became our highest-performing cold audience.
We also layered interest targeting. This included targeting users interested in high-end interior design magazines like Architectural Digest, competing luxury furniture brands, and wealth indicators like frequent international travel or interest in luxury vehicles. It’s not perfect, but it gets you in the right ballpark.
Advantage+ Shopping Campaigns (ASC) were a key part of our Meta Ads management. We fed ASC our best-performing creative and our high-LTV customer list as an audience signal. The algorithm did a surprisingly good job of finding new customers who mirrored the behaviour of existing ones. The key was giving it clean data and high-quality creative to work with. If you’re looking to optimize your own Meta Ads performance, our free Meta Audit can help identify similar opportunities for improvement.
Google Ads: Capturing high-intent search and shopping
Google was our bottom-of-funnel powerhouse. Here, it was all about intent. We weren’t trying to convince someone they needed a new dining table. We were targeting the person who had already decided and was now comparing options.
Our keyword strategy focused on three main clusters: 1. High-intent product queries: “solid oak 8-seater dining table”, “[brand name] leather armchair review”. These are long-tail keywords that signal a user is close to purchase. 2. Competitor brand names: We bid on competitor terms to capture users in their final consideration phase. The ad copy here was crucial, highlighting our client’s unique value proposition, like lifetime warranties or sustainable materials. 3. “Best” and “luxury” modifiers: Terms like “best high-end modular sofa” or “luxury outdoor furniture Australia”.
Performance Max was used to complement our search efforts. We built asset groups around specific product categories, providing high-quality video and lifestyle imagery. We found PMax was effective for reaching users across the Google network, especially on YouTube and Display, after they had shown initial intent through search.
The two platforms required completely different approaches to find the same valuable customer.
Qualified leads versus direct conversions: Meta or Google eCommerce
With high-ticket items, a direct add-to-cart and checkout is rare on the first visit. The sales cycle can be weeks or even months. This means we couldn’t just measure success by direct purchases. We had to track the entire journey, including micro-conversions and lead generation.
Meta’s primary role quickly became top-of-funnel engagement and lead capture. We ran campaigns promoting a downloadable “Style Guide” or offering free design consultations. These weren’t direct sales, but they were incredibly valuable. They allowed us to capture a user’s email address and begin a nurturing sequence.
This is where a strong email marketing strategy becomes essential. Once a user downloaded the guide, they entered a multi-week Klaviyo flow. This flow educated them on the brand’s quality, showcased social proof, and eventually presented a compelling offer. Many of the final sales attributed to other channels actually started with a lead generated on Meta.
Google, on the other hand, was the closer. It captured users who were much further down the funnel. They had done their research, often sparked by a Meta ad, and were now searching for specific products or brand names. Google’s contribution was much cleaner in last-click attribution models, showing a higher number of direct online sales.
The biggest challenge was tracking this complex journey. A customer might see a Meta ad on Monday, download a guide, receive three emails, click a link in the third email on Friday, and then conduct a Google search for the brand name on Saturday before finally making a purchase.
Who gets the credit?
To solve this, we relied heavily on our attribution software and Google’s offline conversion import features. By integrating the client’s Shopify and CRM data, we could stitch together the online journey with the final sale, giving us a much more accurate view of how each platform contributed. It proved that both were essential.
ROAS and AOV findings from our meta ads vs google ads test
After 12 months and $1 million, the numbers told a clear story. But it wasn’t a simple case of one platform beating the other. The performance depended entirely on the metric you prioritised.
If you looked purely at last-click Return on Ad Spend (ROAS), Google was the winner. It was not even close.
Overall ROAS performance by platform
Our Google Ads campaigns delivered a blended ROAS of 4.8x across the 12-month period. Our top-performing standard shopping campaigns for brand-specific terms hit ROAS as high as 12x. The intent is just so high that conversions are efficient.
Meta Ads, on a last-click basis, came in at a 2.9x ROAS. If you were a founder just looking at the platform dashboards, you might be tempted to shift all your budget to Google. That would be a huge mistake.
When we looked at a multi-touch attribution model that included view-throughs and assisted conversions, the picture changed. Meta’s contribution was significantly higher. It was often the first touchpoint for customers who eventually converted through Google. Cutting Meta spend would have starved our Google campaigns of qualified traffic. The final blended ROAS, accounting for this compounding effect, landed at 4.1x, just above our target.
Our Google Ads team worked closely with the Meta team to ensure our messaging was consistent across the funnel. This alignment was key to guiding users from discovery to purchase.
Impact on average order value
This was one of the most surprising findings. We hypothesised that Google would drive a higher Average Order Value (AOV) because users were searching for specific, often expensive, items.
The data proved the opposite.
Meta Ads consistently drove a higher AOV, coming in at $1,780 compared to Google’s $1,590. Our theory is that Meta’s visual-first format allowed us to showcase entire room settings and product collections. This inspired customers to purchase multiple items to achieve a certain look, rather than just the single item they were searching for on Google.
Carousel ads and video ads showing different product combinations were particularly effective at increasing basket size. On Google, the user is in problem-solving mode. On Meta, they are in inspiration mode, which is more conducive to upselling and cross-selling.
Strategic lessons and future ad spend allocation
Running this $1M experiment gave us a clear playbook for scaling high-ticket eCommerce brands. It’s not about choosing Meta or Google. It’s about using them together in the right way.
The biggest lesson is that last-click attribution is dangerously misleading for considered purchases. You must have a way to track the full customer journey. Without it, you will undervalue your top-of-funnel activities and overvalue your bottom-of-funnel channels.
Based on our findings, we recommended a revised budget allocation for this client from here: 60% to Google Ads and 40% to Meta Ads. This split acknowledges Google’s efficiency at closing sales while still dedicating significant budget to Meta for demand creation and audience building.
Our creative strategy also evolved. For Meta, we now focus on aspirational lifestyle content, room tours, and designer collaborations. For Google, the creative is more direct, focusing on product features, specifications, and competitive advantages. The ad serves the user’s mindset on that specific platform.
The compounding effect is real. Meta creates the awareness and desire. It puts the brand in the customer’s consideration set. Google is there to capture that intent when the customer is ready to act. They are two halves of the same whole. Understanding how we work involves seeing this complete picture, not just isolated channel performance.
Future tests will involve exploring other top-of-funnel channels like Pinterest and YouTube ads for discovery, while continuing to refine our search and shopping strategies on Google.
Not sure where your Meta Ads budget is going?
We audit Meta Ads accounts every week. The free Meta Audit shows you exactly where spend is leaking and what to fix first.
Getting this full-funnel approach right is the difference between stagnating and scaling a high-ticket brand. It requires a deep understanding of data, attribution, and the customer mindset at every stage. This is exactly what our team focuses on. If you want an expert team to analyse your own ad spend and build a strategy that works, we should talk.
