Digital Advertising Spend: Where the Money Goes

Digital advertising spend is the total budget allocated to paid media channels online, including search, social, display, video, and programmatic. Most businesses treat it as a line item to be managed rather than a lever to be understood, and that distinction is where most of the waste lives.

Across 20 years of managing budgets ranging from five figures to nine, I have seen the same pattern repeat: organisations increase spend when things are going well and cut it when they are not, with very little interrogation of what the money is actually doing in between. This article is about fixing that.

Why Most Digital Ad Budgets Are Set the Wrong Way

Budget-setting in most organisations follows a predictable ritual. Finance asks marketing what they need. Marketing looks at last year’s number, adds an inflation adjustment, and submits a figure. Finance cuts it by 15 percent. Marketing accepts the cut and calls it a plan.

Nobody in that process has asked what the market opportunity actually is this year, what the competitive landscape looks like, or what the relationship between spend and revenue has historically been. It is planning by inertia, dressed up as process.

I spent several years running agencies where clients would brief us with a budget already decided before the strategy conversation had started. The number came from the previous year’s plan, sometimes with a modest uplift if the business was feeling confident. When I asked how the original figure had been arrived at, the honest answer was almost always some version of “we’re not sure, it’s just what we’ve always spent.”

There are better starting points. What does it cost to acquire a customer profitably at your current margins? What share of voice do you need to hold or grow your position in the category? What does the addressable market look like and what proportion of it are you currently reaching? These are commercial questions. They should drive the budget conversation, not follow it.

If you are thinking about how digital advertising fits into a broader go-to-market approach, the Go-To-Market and Growth Strategy hub covers the wider strategic context that budget decisions should sit within.

Demand Capture vs. Demand Creation: The Most Misunderstood Split in Paid Media

When I was at lastminute.com in the early 2000s, I ran a paid search campaign for a music festival. The campaign was straightforward, the targeting was clean, and within roughly a day we had driven six figures of revenue from a relatively modest spend. It was one of those early moments in digital advertising where the efficiency felt almost unfair.

What made it work was not the creative or the copy. It was the fact that we were capturing demand that already existed. People were searching for tickets. We were there when they searched. The conversion was almost inevitable.

Paid search at its best is a demand capture channel. It intercepts intent that already exists and converts it. The problem is that intent has a ceiling. There are only so many people searching for what you sell at any given moment, and you are almost certainly competing for that same pool of intent with every other brand in your category.

Demand creation is different. It is the work of making people aware that a problem exists, that your category is the solution, and that your brand is the right choice within that category. It operates higher in the funnel, it is harder to measure in the short term, and it is the part of the budget that gets cut first when results are under pressure.

The irony is that cutting demand creation spend reduces the pool of intent that demand capture channels then convert. Teams do not see this because the lag between the two makes the connection invisible in most attribution models. You cut brand spend in Q2, and search performance looks fine. By Q4, the pipeline has dried up and nobody can explain why.

A sensible allocation between these two modes depends on category maturity, brand awareness, and competitive intensity. There is no universal ratio that works across industries. What I can say from managing spend across 30 different sectors is that most brands are significantly over-indexed on capture and under-invested in creation, and they are paying for it in rising CPAs and shrinking addressable audiences over time.

What Attribution Models Are Actually Telling You

Attribution is one of the most politically loaded topics in digital advertising, and the reason is simple: whatever model you use, someone’s channel looks better and someone’s looks worse. Last-click attribution made search teams look like heroes and made everyone else look like a cost. Data-driven attribution redistributed credit in ways that felt more sophisticated but were still fundamentally a model, not a measurement.

I judged the Effie Awards, which are specifically designed to recognise marketing effectiveness rather than creative brilliance. One of the things that stands out when you read through the entries is how many genuinely effective campaigns are invisible in standard attribution reporting. Brand campaigns that shift category preference, upper-funnel video that accelerates consideration, sponsorships that build long-term trust: none of these show up cleanly in a last-click or even a data-driven attribution model.

The honest position is that attribution models are a useful approximation of reality, not reality itself. They are built on assumptions about how people make decisions, and those assumptions are almost always wrong in some meaningful way. They are still worth using because some approximation is better than none, but they should be read with appropriate scepticism.

The better question to ask is not “which channel gets credit for this conversion” but “what would have happened without this channel.” That is an incrementality question, and it requires a different methodology entirely: holdout tests, geo-based experiments, or matched market analysis. These are harder to run and harder to explain to stakeholders, but they are the closest thing to an honest answer that digital advertising currently offers.

Vidyard’s analysis of why go-to-market feels harder than it used to touches on this broader measurement challenge: the buyer experience has become more fragmented, which means the gap between what attribution models report and what is actually happening has widened considerably.

Channel Allocation: How to Think About Where the Money Goes

There is a version of channel allocation that is driven by data, by market research, by audience analysis, and by a clear understanding of where your customers spend their attention. And then there is the version that most organisations actually use, which is driven by familiarity, by whoever shouted loudest in the last planning meeting, and by a vague sense that “we should probably be doing more on [insert current trend].”

The right framework starts with the customer, not the channel. Where is your audience? What are they doing when they are most receptive to your message? What does the path from awareness to purchase actually look like for your specific category? These questions should determine channel mix, not the reverse.

A few principles that have held up across the industries I have worked in:

Search captures existing intent and should be funded to the point where marginal return starts to decline. Beyond that point, additional search spend is not generating new demand, it is just bidding against itself. Most teams hit this ceiling earlier than they think and keep spending past it because the channel feels safe and measurable.

Social advertising is increasingly a reach and frequency tool rather than a precision targeting tool. The audience segmentation that made it compelling a decade ago has been significantly eroded by privacy changes, iOS updates, and the general degradation of third-party data. Teams that are still building social strategies around hyper-targeted audiences are working with a model that no longer reflects how these platforms actually operate.

Programmatic display and video can build reach efficiently, but reach without relevance is just noise. The quality of the creative and the context in which it appears matter more than most programmatic buyers acknowledge. Brand safety is not a secondary concern; it is a core part of media value.

Creator and influencer spend is growing because it works in categories where trust and social proof drive purchase decisions. Later’s work on go-to-market with creators illustrates how this channel can be integrated into a broader campaign structure rather than treated as a standalone tactic. The key variable is authenticity: audiences have become remarkably good at detecting paid content that does not reflect genuine use or belief.

Efficiency vs. Effectiveness: Why Cutting CPCs Is Not the Same as Winning

Efficiency metrics are seductive because they are easy to improve. Lower your CPCs, tighten your targeting, cut the underperforming ad sets, and your cost-per-acquisition drops. The dashboard looks better. The quarterly review feels good. And sometimes, none of it translates into business outcomes.

I have seen this play out in agency reviews more times than I can count. A new agency comes in, audits the account, finds genuine inefficiencies, fixes them, and reports a 30 percent improvement in CPA within 90 days. The client is delighted. Six months later, revenue is flat or declining, because the efficiency gains came from narrowing the audience, cutting upper-funnel investment, and optimising for the easiest conversions rather than the most valuable ones.

Effectiveness is a harder conversation. It asks whether the advertising is actually growing the business, not just whether it is being delivered cheaply. These are related but not identical questions. You can run a very efficient campaign that reaches a very small, very easy-to-convert audience and completely miss the market opportunity that actually matters.

The Forrester model for intelligent growth makes this distinction clearly: growth comes from expanding the addressable market, not just optimising within the existing one. Efficiency improvements have a ceiling. Effectiveness improvements, done properly, do not.

The practical implication is that your media reporting should include both types of metrics, and they should be weighted differently depending on what the business actually needs. If you are in a growth phase, effectiveness metrics should carry more weight. If you are in a profitability phase, efficiency metrics become more important. Most teams apply the same framework regardless of business context, which means they are almost always optimising for the wrong thing.

When to Scale Spend and When to Hold

One of the more useful things about having managed budgets across multiple economic cycles is that you develop a sense for when scaling spend makes sense and when it does not. The instinct in most organisations is to scale when things are working and pull back when they are not. This is broadly correct but misses a more important question: working by whose definition?

If “working” means the channel is hitting its efficiency targets, scaling may or may not be the right call. If “working” means the channel is generating profitable incremental revenue at a rate that justifies additional investment, then scaling is almost always correct, and the constraint becomes how quickly you can deploy budget without degrading quality.

The conditions that support scaling digital ad spend are specific. You need a clear understanding of your marginal return at current spend levels. You need confidence that the audience is large enough to absorb additional budget without CPMs inflating significantly. You need the downstream infrastructure, sales capacity, fulfilment, customer service, to handle the incremental demand. And you need creative that can sustain frequency without fatiguing the audience.

The conditions that argue for holding or reducing are equally specific. If incrementality testing shows that a material portion of your conversions would have happened anyway, you are paying for attribution credit rather than genuine lift. If your creative pool is thin and you are running the same assets at high frequency, you are likely paying more for less attention over time. If your category is contracting and you are fighting for share of a shrinking market, efficiency improvements will not overcome the structural headwind.

BCG’s work on long-tail pricing in B2B markets offers a useful parallel: the economics of scale are not linear, and the point at which additional investment stops generating proportional return is often earlier than organisations expect. The same principle applies to digital advertising.

The Creative Variable That Most Budget Conversations Ignore

Media plans spend a lot of time on channel mix, targeting parameters, and bid strategies. They spend very little time on creative, which is a significant oversight given that creative quality is one of the strongest predictors of advertising performance across every channel.

Early in my career, I taught myself to code because the alternative was accepting that a business problem would not get solved. The same instinct applies to creative in advertising: if the creative is not working, the solution is not to spend more money distributing it more widely. The solution is to fix the creative.

The practical implication for budget allocation is that a portion of every digital advertising budget should be reserved for creative development and testing. Not as an afterthought, not as a line item that gets cut when the media budget is under pressure, but as a deliberate investment in the thing that determines whether the media spend works at all.

Across the campaigns I have overseen, the variance in performance driven by creative quality has consistently been larger than the variance driven by targeting or bidding decisions. A well-targeted campaign with weak creative will underperform a broadly targeted campaign with strong creative in most categories. This is not a reason to abandon targeting rigour, but it is a reason to take creative investment as seriously as media investment.

The broader strategic context for how digital advertising fits into go-to-market planning is something we cover extensively across the Go-To-Market and Growth Strategy hub, including how to align channel investment with commercial objectives at different stages of growth.

Practical Steps for Getting More From Your Digital Ad Budget

None of this requires a complete overhaul of how you run paid media. Most of it requires a willingness to ask harder questions of the data you already have.

Start with an honest audit of what your current spend is actually generating. Not what the attribution model says it is generating, but what you can demonstrate through incrementality testing or, at minimum, through a sober look at what changed in the business when spend changed. If you cannot point to a clear relationship between budget and business outcomes, that is the first problem to solve.

Then look at your channel mix and ask whether it reflects where your customers actually are and how they actually make decisions, or whether it reflects historical inertia and the path of least resistance. These are often different answers.

Review your creative pipeline. How many distinct creative concepts are you testing? How frequently are you refreshing assets? What does your creative testing process actually look like, and is it generating learnings that feed back into future briefs? If the answer is “we run the same two or three ads until performance drops and then we panic,” that is a structural problem that no amount of bid optimisation will fix.

Finally, make sure the people setting the budget and the people managing the channels are having the same conversation. One of the most persistent failures I have seen in marketing organisations is a disconnect between commercial leadership, which sets the budget based on revenue targets, and channel teams, which manage the budget based on platform metrics. When these two groups are not aligned on what success looks like, the budget gets managed efficiently toward the wrong outcome.

Forrester’s analysis of go-to-market struggles in complex categories highlights how this misalignment between commercial strategy and channel execution plays out in practice. The specific context is healthcare, but the underlying dynamic is consistent across industries: when strategy and execution are not connected, spend efficiency becomes a substitute for strategic clarity, and that substitution is expensive.

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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