Google and Facebook Ads: Stop Funding the Same Customers Twice

Google and Facebook advertising work best when they do different jobs. Google captures intent that already exists. Facebook builds the intent that Google later harvests. Most businesses run both channels but treat them as interchangeable, which is why they end up overpaying to reach people who were going to convert anyway.

Getting the relationship between these two platforms right is not a media buying question. It is a growth strategy question. And the answer looks different depending on where your business actually sits in its growth curve.

Why Most Businesses Get the Channel Split Wrong

Early in my career, I was obsessed with lower-funnel performance. Conversion rates, cost per acquisition, return on ad spend. The numbers were clean and the logic felt airtight: follow the money, optimise toward what converts. I was not wrong, exactly. I was just looking at a partial picture and mistaking it for the whole.

The problem with that framing is that it treats Google search as a growth engine when it is really a harvesting machine. If someone searches for your product or service, they already know they want it. You have not created that demand. You have simply made yourself available at the moment it surfaces. That is valuable, but it is not growth. It is participation.

Think about how a clothes shop works. A customer who walks in and tries something on is far more likely to buy than one who walks past the window. The shop did not create the desire to buy clothes. But it created the conditions for a sale to happen. Facebook, done well, is the window display and the fitting room. Google is the till. Both matter. But if you only invest in the till, you are entirely dependent on footfall you did not generate.

This is covered in more depth across the Go-To-Market and Growth Strategy hub, where the core argument is consistent: sustainable growth requires reaching new audiences, not just converting the ones already looking for you.

What Google Advertising Actually Does Well

Google Search is the most commercially efficient advertising channel ever built, within a specific set of conditions. Those conditions are: the product or service has established demand, people are actively searching for it, and the business can afford the cost per click relative to lifetime value.

When those conditions are met, Google Search is hard to beat. You are reaching someone at the exact moment they have expressed intent. The targeting is behavioural rather than demographic. The feedback loop is tight. You can see what searches triggered your ads, which ones converted, and what you paid for each outcome. For businesses with healthy margins and clear product-market fit, this is a reliable growth lever.

The issues start when businesses apply Google Search logic to situations where it does not fit. If you are launching a new product category that people do not yet know to search for, there is no intent to capture. If your market is too small for meaningful search volume, you will exhaust your audience quickly and pay a premium for the scraps. If your competitors have deeper pockets and are willing to overbid on branded and generic terms, your economics can deteriorate fast.

Google’s Performance Max campaigns have added a layer of complexity here. The promise is automation across Search, Display, YouTube, and Shopping from a single campaign. The reality, in my experience managing significant budgets across these formats, is that Performance Max tends to consolidate spend toward the path of least resistance, which usually means retargeting and branded search. It looks efficient on paper. It is often not doing what you think it is doing.

The discipline required with Google is to be honest about what the channel is actually driving. Last-click attribution will always flatter search campaigns. Multi-touch models are better but still imperfect. The most useful question to ask is: if we turned this campaign off for two weeks, what would actually change? That question tends to surface a more accurate picture than any attribution model.

What Facebook Advertising Actually Does Well

Facebook, and by extension Instagram, operates on a different principle. People are not searching for anything. They are scrolling. Your job is to interrupt that scroll in a way that feels relevant enough to earn attention and compelling enough to create desire. That is a fundamentally different creative and strategic challenge than appearing in a search results page.

Facebook’s historical advantage was its targeting precision. Demographic, interest, and behavioural data allowed advertisers to reach narrow, well-defined audiences at scale. iOS 14 and subsequent privacy changes have eroded that precision significantly. Signal loss across iOS devices has made audience targeting less reliable and attribution murkier. Advertisers who built their entire Facebook strategy around tight audience targeting have had to adapt.

What has emerged from that disruption is a cleaner truth about what actually drives Facebook performance: creative quality and offer clarity. The businesses that have continued to scale on Facebook post-iOS 14 are the ones whose creative does the targeting work. A well-constructed video or static ad, built around a specific problem for a specific type of person, self-selects the right audience through engagement signals. The algorithm learns from who responds, not from who you told it to target.

This is not a consolation prize. It is actually a more durable competitive advantage. Your competitors can copy your targeting parameters overnight. They cannot easily replicate your creative strategy, your brand voice, or your understanding of what your customer actually cares about. The businesses winning on Facebook right now are winning on insight and execution, not data access.

For a broader view of how creative and channel strategy interact with go-to-market planning, the growth strategy hub covers the structural decisions that sit above individual channel choices.

How the Two Channels Should Work Together

The most efficient paid media businesses I have worked with treat Google and Facebook as a system. Facebook generates awareness and builds intent among people who did not know they had a need. Google captures that intent when it surfaces as a search. Done well, the two channels amplify each other. Done badly, they compete for credit on the same conversion.

A practical way to think about this: if your Facebook campaigns are generating strong engagement and reach but your Google branded search volume is not growing over time, something is disconnected. Genuine upper-funnel impact should eventually show up as increased brand search. If it does not, you are either reaching the wrong people on Facebook or the creative is not landing with enough force to create a lasting impression.

Conversely, if your Google campaigns are profitable but your total customer base is not growing, you are almost certainly harvesting a fixed pool of existing demand rather than expanding it. That is a sustainable business model only if your market is large enough and your competitors are not investing in reach. In most categories, that is a temporary position, not a permanent one.

The budget allocation question between the two channels does not have a universal answer. It depends on category maturity, brand awareness, customer lifetime value, and growth targets. But a rough principle holds: businesses in growth mode should be spending more proportionally on reach and awareness than businesses in harvest mode. Most businesses I have encountered are in growth mode but spending like they are in harvest mode, because the performance metrics on lower-funnel activity look better in the short term.

Understanding how to structure this kind of thinking is partly what Vidyard’s analysis of why go-to-market feels harder gets at: the channels are more complex, the attribution is less reliable, and the pressure to show short-term returns pushes marketers toward capture over creation.

The Attribution Problem Both Channels Share

I judged the Effie Awards for a period, which gave me an unusual vantage point on what effectiveness actually looks like at the sharp end. One pattern I noticed consistently: the campaigns that won on business results were rarely the ones that optimised hardest for attribution efficiency. The ones that moved markets were the ones that built genuine demand, often through channels and formats that are difficult to attribute cleanly.

Both Google and Facebook have a vested interest in showing you that their platform drove your results. Google’s attribution defaults tend to favour search. Facebook’s attribution window defaults have historically been generous. Neither platform is lying, exactly. They are each presenting a version of the truth that is consistent with their own data and incentives. The problem is that most marketers take those numbers at face value rather than interrogating them.

The most honest approach to attribution across both channels is to use platform data as a directional signal rather than a precise measurement. Incrementality testing, where you hold out a portion of your audience from advertising and measure the difference in outcomes, gives you a much cleaner read on what is genuinely being driven by your spend. It is harder to set up and less satisfying than a tidy dashboard, but it is closer to the truth.

There is also a broader point worth making here. Marketing does not need perfect measurement. It needs honest approximation. The businesses that obsess over attribution precision often end up making worse decisions than the ones that accept some ambiguity and focus on the signals that actually correlate with growth. Brand search volume, new customer acquisition rate, and revenue per cohort over time are more useful growth indicators than platform-reported ROAS.

This connects to a point Forrester has made about intelligent growth models: measurement frameworks need to be built around business outcomes, not channel metrics. The channel metrics matter, but they are inputs to a business decision, not the decision itself.

What the Creative Brief Needs to Say

One of the most consistent mistakes I see across both channels is applying the same creative brief to both. The logic seems reasonable: consistent messaging, consistent brand. But the execution requirements are completely different, and a brief that does not account for that produces creative that underperforms on both.

Google Search creative is about relevance and clarity. The person has already expressed intent. Your job is to confirm you are the right answer and remove friction from the click. Headlines should mirror the search query. Descriptions should handle the most likely objection. The call to action should be specific. There is very little room for brand storytelling in a text ad. That is not a limitation, it is the format doing its job.

Facebook creative is about earning attention in a context where no one is looking for you. The first two seconds of a video or the first glance at a static ad has to do something to stop the scroll. That might be a bold visual, an unexpected angle on a familiar problem, or a piece of social proof that feels immediately credible. The brief for Facebook should start with: what does this person care about before they care about our product? Answer that question and you have a creative direction. Skip it and you have a product ad that no one asked to see.

I spent the early part of my career in agency environments where the creative brief was treated as a formality. You filled it in because the process required it, then everyone went off and did what they were going to do anyway. The agencies that consistently produced effective work were the ones that treated the brief as the hardest part of the job, not the admin before the real work started.

When to Scale and When to Pull Back

Scaling paid media on Google and Facebook is not simply a matter of increasing budget. Both platforms have efficiency curves, and pushing spend beyond the natural demand in your market or audience pool degrades performance in ways that are sometimes obvious and sometimes insidious.

On Google Search, the efficiency curve is relatively transparent. You can see impression share, auction insights, and cost per click trends. When you have captured most of the available search volume in your target terms and CPCs are rising, adding budget will produce diminishing returns. The right response at that point is either to expand your keyword strategy, invest in brand to grow the total search volume, or accept that you have reached the ceiling of this channel for your current market position.

On Facebook, the signal is less clean. Audience fatigue is real but harder to diagnose from standard metrics. Frequency is a useful proxy: when the average person in your target audience has seen your ad more than three or four times in a short window, you are likely hitting diminishing returns on that creative. The solution is not always to reduce budget. Sometimes it is to refresh creative, expand the audience definition, or restructure the campaign architecture to reduce overlap.

The businesses that scale most effectively on paid media are the ones that treat scaling as an operational discipline, not just a budget decision. They have creative pipelines that produce new assets regularly. They test systematically rather than reactively. They read platform signals early and respond before performance deteriorates. Semrush’s overview of growth tools touches on some of the diagnostic frameworks that help identify when a channel is approaching its ceiling.

There is also a timing dimension that gets overlooked. Both Google and Facebook performance is affected by competitive dynamics that shift throughout the year. CPCs and CPMs rise during peak commercial periods when more advertisers are bidding for the same inventory. Building your brand and your audience data during lower-competition periods gives you a structural advantage when it matters most.

The Structural Decision Most Businesses Avoid

I have sat in enough boardrooms and agency planning sessions to know that the hardest conversation is not about which channel to use or how to write a better creative brief. It is about what growth actually requires from a business, not just from a marketing team.

Google and Facebook advertising can drive meaningful growth for most businesses. But they cannot substitute for product-market fit, pricing clarity, or a customer experience that earns repeat purchase. When paid media is working against a weak commercial foundation, you end up buying customers who do not stay. The metrics look acceptable. The business does not grow.

The structural question is whether your paid media strategy is designed to grow the business or to report well. Those are different objectives, and they produce different decisions. A strategy designed to grow the business will sometimes accept worse short-term ROAS in exchange for reaching new audiences and building brand equity. A strategy designed to report well will optimise toward the metrics that look best in the weekly dashboard, which usually means retargeting, branded search, and existing customers.

BCG’s work on brand strategy and go-to-market alignment makes a related point: marketing and commercial strategy need to be designed together, not in separate rooms. The channel decisions that look rational in isolation often look less rational when you map them against the actual growth targets the business is trying to hit.

If you are working through how Google and Facebook fit into a broader commercial growth plan, the articles across the Go-To-Market and Growth Strategy hub cover the upstream decisions that shape how these channels perform downstream.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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