Facebook Ads vs Google Ads for Ecommerce: Which Wins?

Neither Facebook nor Google wins outright for ecommerce, because they do different jobs. Google Shopping and Search capture people already looking for what you sell and convert at a higher rate, while Facebook and Instagram generate demand among people who were not searching yet, at a cheaper click. For most online stores the honest answer is to run both in a coordinated funnel, and if you have to pick one first, choose the channel that matches how people decide to buy your product.

Facebook ads vs Google ads for ecommerce: the short answer

Start with intent. Google is demand capture: someone types "running shoes for flat feet" and you show up with a product and a price. That traffic converts at two to three times the rate of social because the buyer is already in motion. Facebook is demand generation: your ad interrupts a scroll and creates a want that did not exist a second earlier. The click is cheaper, but more of those clicks are curious rather than committed.

That single difference drives everything else, including which products fit each channel. Impulse buys, visually striking items, and new categories people are not searching for yet lean Facebook. Considered, replacement, and problem-solving purchases that people actively research lean Google. Most stores that spend $5,000 or more a month end up on both, because the two channels feed each other: Facebook creates the demand, Google catches it when the shopper finally searches your brand or category.

How the two channels actually differ

Here is how Facebook and Google compare on the factors that decide where an ecommerce dollar works hardest.

Notice that the cheaper click does not always mean the cheaper customer. Facebook's $1.72 click looks like a bargain next to Google's $2.69, but Google's higher-intent traffic converts two to three times better, which often equalizes or reverses the cost advantage once you measure cost per purchase instead of cost per click. That is why judging either channel on click price alone leads stores astray.

What each channel costs for ecommerce

On Meta in 2026, the average click runs about $1.72, CPMs sit between roughly $8 and $15, and the median cost per purchase across ecommerce is near $38, ranging from around $30 in apparel and lifestyle to close to $50 in electronics. The median Meta ROAS across roughly 35,000 stores is about 1.93x. Meta's Advantage+ Shopping campaigns have matured to the point where they deliver roughly 32% lower cost per acquisition than manually built campaigns across ecommerce verticals, which has pulled a lot of stores toward automation.

On Google, Search clicks average about $2.69, but Shopping is the real ecommerce workhorse, showing your product image, price, and store name to someone actively searching. Well-run Shopping campaigns commonly return 3 to 4x or more because the intent is so high. The tradeoff is ceiling: Google can only sell to the demand that already exists, so once you have captured the searches for your category, growth has to come from creating new demand, which is Meta's job. Whichever you run, judge it against your break-even ROAS from gross margin, not a universal target. A store at a 50% margin breaks even at 2.0x; run the numbers with a ROAS calculator.

Which one should you start with?

If your product solves a problem people search for, start with Google Shopping. Replacement parts, supplements for a specific condition, tools, and anything a shopper Googles by name will convert faster and cheaper on demand capture, and you can build a profitable base before you spend a dollar teaching people the product exists. Point the budget at Shopping and branded Search first, then expand into non-branded terms.

If your product is a discovery item, something visual, novel, or impulse-driven that nobody is searching for yet, start with Facebook and Instagram. A striking video or carousel in front of a well-built lookalike audience is how those products find their first customers, because the demand has to be created before anyone will ever search for it. Our Facebook ads for ecommerce page walks through the Advantage+ and creative structure that makes this work, and our AI ads for ecommerce overview covers the wider toolkit.

How to run both together

Once you can afford both, stop treating them as competitors and build a funnel. Facebook runs prospecting to cold audiences with video and carousels, driving site visits and filling your retargeting pools. Google runs Shopping and Search to capture the demand Meta created, plus branded Search to catch people who saw a Facebook ad and later searched your name. Retargeting on both channels then closes the shoppers who viewed a product or abandoned a cart.

The measurement trap is judging each channel in its own silo. Facebook prospecting often looks unprofitable on a last-click basis precisely because it feeds the cheap branded searches and retargeting sales that Google then gets credit for. Blended ROAS across the whole account is the number that tells the truth, which is why growing stores pull both channels and their store revenue into one dashboard that unifies every ad channel rather than trusting either platform's self-reported numbers. Set a blended target, fund prospecting to feed the funnel, and let retargeting and Search harvest what it produces. The deeper channel-by-channel breakdown lives in our Google Ads vs Facebook Ads comparison.

The bottom line

Facebook and Google are not rivals for the ecommerce budget so much as two ends of the same funnel. Google captures existing demand and converts it at a high rate; Facebook creates demand at a cheaper click and feeds the searches Google later closes. Pick the one that matches how people find your product to start, then run both once the economics allow and measure blended ROAS across the whole account. If you would rather not manage two ad platforms by hand, AdBot runs ecommerce Facebook ads and Google in one place for a flat monthly fee, with no percentage of your spend. Try it and see what your blended cost per purchase looks like.