Digital Marketing’s Hardest Problems Are Not Technical

Digital marketing’s biggest challenges right now are not about tools, platforms, or algorithms. They are about the gap between what the industry promises and what it actually delivers, and the structural pressures that make honest marketing increasingly difficult to do well.

Most organisations are running harder just to stay in place: more channels, more content, more data, more reporting, and less clarity on what is actually working. The challenge is not a lack of capability. It is a lack of commercial grounding in how that capability gets applied.

Why Digital Marketing Feels Harder Than It Should

There is a version of digital marketing that is genuinely exciting. You build something, put it in front of the right people, and revenue follows. I saw this early in my career when I ran a paid search campaign for a music festival through lastminute.com. The campaign was not complicated. The targeting was clean, the offer was clear, and within roughly a day we had driven six figures in revenue. It felt like the industry had figured something out.

That clarity has become harder to find. Not because the fundamentals have changed, but because the environment around them has become extraordinarily noisy. More platforms, more formats, more vendors, more benchmarks, more dashboards, and a growing tendency to mistake activity for progress. The marketers I talk to are not struggling because they lack ambition or skill. They are struggling because the operating environment has made it genuinely difficult to know what is working and why.

If you are thinking about how these challenges connect to your broader commercial strategy, the Go-To-Market and Growth Strategy hub on The Marketing Juice covers the structural decisions that sit above channel execution, including how to sequence investment, how to build for compounding returns, and how to connect marketing activity to real business outcomes.

The Attribution Problem Is Getting Worse, Not Better

Attribution has always been imperfect. What has changed is that we now have the tools to generate very precise-looking numbers from very imperfect data, and that precision creates false confidence at the board level.

I spent years managing large performance marketing budgets across multiple industries. The attribution models we used were useful as a directional guide. They were not, and never were, an accurate picture of how customers actually made decisions. The customer who clicked a retargeting ad on the day they converted had almost certainly been influenced by brand activity, word of mouth, a piece of content, or a conversation with a colleague that no model would ever capture.

The problem is that the channels which are hardest to attribute tend to be the ones doing the heaviest lifting on awareness and preference. When budget pressure hits, those channels get cut first because the numbers do not defend them. What remains is a portfolio optimised for last-click efficiency that is quietly eroding the pipeline it depends on. Vidyard’s analysis of why go-to-market feels harder points to exactly this dynamic: teams are measuring what is easy to measure and calling it strategy.

The organisations that handle this well are the ones that have accepted honest approximation over false precision. They use attribution data as one input, not as the final word. They run brand tracking alongside performance metrics. They do not pretend they can measure everything, and they do not punish the channels that resist easy measurement.

Signal Fragmentation Is Making Coherent Decisions Harder

Ten years ago, a competent digital marketing team could get a reasonably clear picture of performance from a handful of platforms. Today, the average mid-size organisation is running activity across paid search, paid social, organic search, email, content, programmatic, influencer, and potentially connected TV, each with its own reporting logic, attribution window, and definition of a conversion.

Reconciling those signals into a coherent view of what is happening is not a data problem. It is a decision-making problem. When every channel is reporting positive performance and the business is not growing at the rate you would expect, something is wrong with the model, not the channels. But most reporting structures are not built to surface that contradiction. They are built to justify existing investment.

I have sat in too many quarterly reviews where every channel showed green and the CFO was still asking why revenue growth was slowing. The answer was usually that the channels were measuring different things, counting the same customers multiple times, and presenting a picture that flattered activity rather than reflecting commercial reality. Frameworks for growth that treat each channel as an isolated experiment tend to produce exactly this problem at scale.

The fix is not more dashboards. It is fewer metrics, better defined, connected to outcomes the business actually cares about. Revenue, margin, customer acquisition cost, and lifetime value are the numbers that matter. Everything else is a proxy, and proxies need to be treated as proxies.

Short-Termism Is Compressing the Planning Horizon

There is a structural tension in most marketing organisations between the pressure to show results this quarter and the investment horizon required to build something that compounds. Brand equity, organic search, audience development, content libraries: these are all assets that take time to build and deliver returns over years, not weeks. But most marketing budgets are reviewed quarterly, and most CMOs are measured on metrics that can be read in a dashboard by Friday.

When I was running agencies, I watched clients make the same mistake repeatedly. They would cut brand spend to hit a short-term ROAS target, see performance hold steady for a quarter or two because the existing brand equity was still doing work, and then conclude that brand investment had not been necessary. Six months later, acquisition costs would start climbing and they would not be able to explain why. The brand had been spending down its reserves without anyone noticing until the account was nearly empty.

BCG’s work on brand and go-to-market strategy makes the case clearly: the organisations that treat brand and performance as a coalition rather than a competition tend to outperform over time. The ones that optimise purely for short-term efficiency tend to pay for it in higher acquisition costs and lower conversion rates further down the line.

This is not an argument against performance marketing. It is an argument for treating the planning horizon honestly. If your budget cycle is forcing you into decisions that are commercially damaging over a two-year horizon, that is a conversation worth having with the CFO, not a constraint to quietly accept.

The Talent and Specialism Problem

Digital marketing has fractured into a collection of deep specialisms that are increasingly difficult to coordinate. SEO, paid media, CRO, marketing automation, data and analytics, content strategy, social, influencer: each of these is now a genuine discipline requiring real expertise. The generalist who could cover all of them competently barely exists anymore, and the organisations trying to hire one are usually disappointed.

The coordination problem this creates is significant. When I grew an agency from around 20 people to over 100, one of the hardest things to manage was the tendency for specialist teams to optimise for their own channel metrics rather than the client’s commercial outcomes. The paid search team would hit their ROAS targets. The SEO team would hit their ranking targets. The content team would hit their engagement targets. And the client’s revenue would still not be moving the way they needed it to.

The issue was not individual performance. It was the absence of a shared commercial objective that connected all the specialisms. Each team was doing good work within its own frame of reference. Nobody was asking whether the combined effect of all that work was pointing in the right direction.

This is one of the reasons the go-to-market conversation matters so much. Research from Vidyard on GTM team performance highlights the pipeline and revenue potential that gets left on the table when specialist teams are not aligned around a shared commercial objective. The coordination layer is not a nice-to-have. It is where a significant portion of the value gets created or destroyed.

Privacy Changes Are Reshaping the Data Foundation

The deprecation of third-party cookies, tightening consent frameworks, and platform-level privacy changes have been discussed at length. What gets less attention is the second-order effect: the strategies and tools that were built on top of that data infrastructure are now less reliable, and many organisations have not yet rebuilt their approach to reflect that.

Audience targeting that worked well when behavioural data was abundant is now noisier. Retargeting pools are smaller. Lookalike audiences are less accurate. The signal that performance teams relied on to optimise campaigns efficiently has degraded, and in many cases the cost-per-acquisition numbers have moved accordingly.

The organisations handling this best are the ones investing in first-party data: building direct relationships with customers, creating genuine reasons for people to share their preferences, and treating their CRM as a strategic asset rather than a list management tool. Behavioural insight tools that capture on-site signals without relying on third-party infrastructure are becoming more central to how smart teams understand their audiences.

This is not a crisis for organisations that had strong direct relationships with their customers. It is a significant problem for those who outsourced audience intelligence to platform algorithms and are now finding that the rental agreement has changed.

The Content Volume Trap

Content production has become cheaper and faster, and that is creating a new problem. The internet is filling up with content that is technically correct, reasonably well-structured, and entirely forgettable. AI-assisted production has accelerated this. The result is that the bar for content that actually performs, that earns links, holds attention, and builds genuine authority, has risen even as the cost of producing mediocre content has fallen.

I see this pattern repeatedly in audits. A brand has published hundreds of pieces of content over three years. A small fraction of those pieces drive the vast majority of organic traffic and engagement. The rest exist, technically, but they are not doing meaningful work. The investment in producing them has not compounded. It has just accumulated.

The discipline that is missing is editorial judgment: the ability to decide what is worth making and what is not, before resources are committed. Volume is not a strategy. A smaller body of genuinely useful, well-researched, distinctive content will outperform a large library of average content over any meaningful time horizon. The organisations that have internalised this tend to have someone in the room asking “why would someone share this?” before the brief is written, not after the piece is published.

Sector-Specific Pressures Are Intensifying

The challenges above apply broadly, but they land differently depending on the sector. Regulated industries face additional constraints on what they can say, how they can target, and what data they can use. Forrester’s analysis of healthcare go-to-market challenges illustrates how compliance requirements can fundamentally reshape the channel mix available to marketers, forcing a level of creativity and strategic discipline that less regulated sectors do not always develop.

In B2B, the buying committee problem has intensified. Decisions that used to involve two or three stakeholders now involve seven or eight, each with different information needs, different objections, and different definitions of value. The linear funnel model that most B2B marketing is still built around does not reflect how those decisions actually get made.

E-commerce brands are dealing with rising customer acquisition costs, platform dependency risk, and the challenge of building direct relationships in an environment where marketplaces have trained customers to start their search somewhere other than your website. Creator-led commerce is one response to this, and Later’s work on going to market with creators shows how some brands are using that channel to rebuild the direct relationship that platform dependency has eroded.

What Separates the Organisations Getting This Right

After two decades of watching organisations succeed and fail at digital marketing, the differentiating factor is rarely the technology stack or the agency roster. It is the quality of commercial thinking that sits above the execution.

The organisations that consistently outperform have a few things in common. They have a clear answer to the question “what does marketing need to do for the business this year?” that goes beyond channel metrics. They have a planning process that connects budget allocation to commercial outcomes, not just to activity targets. They treat measurement as a tool for learning rather than a mechanism for justifying decisions already made. And they have leadership that is genuinely curious about what is not working, rather than structurally incentivised to present everything as a success.

Early in my career, before any of the platforms that dominate today existed, I wanted to build a website for the business I was working for. The MD said no. Rather than accept that, I taught myself to code and built it anyway. The lesson I took from that was not about self-sufficiency, though that helped. It was about the relationship between constraints and creative problem-solving. The constraint forced clarity about what actually mattered. That dynamic has not changed. The organisations handling digital marketing’s hardest problems well are the ones treating the constraints as useful information rather than obstacles to complain about.

For a broader view of how these challenges connect to commercial strategy and go-to-market planning, the Growth Strategy hub on The Marketing Juice covers the decisions that sit above channel execution and shape whether marketing investment compounds or just accumulates.

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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