Summary
In this guide, we’ll break down why marketing needs to be optimised, what you should be aware of while optimising your marketing efforts, and the pitfalls to avoid. Let’s break it all down below.
- Why marketing optimisation often stalls after teams identify what should change
- How the optimisation loop works in practice across signal, decision, implementation, and learning
- What teams are really optimising, from campaign performance to workflow speed and portfolio focus
- A diagnostic table to identify whether optimisation problems are caused by data, ownership, capacity, or governance
- Two chart-ready datasets showing how optimisation maturity affects response speed and implementation time
- How Screendragon marketing resource management helps teams optimise marketing work through one connected operating layer
What is marketing optimisation?
Marketing optimisation is the practice of improving your marketing performance by using data to identify where adjustments are needed. Optimisation focuses on changing the campaign, workflow, and resource allocation for a team to achieve improved results with the same or reduced effort. Fundamentally, it is about developing a culture that uses the knowledge gained from data analysis to drive decision-making quickly and consistently.
Why does marketing optimisation fail?
Most optimisation delays occur after an organisation has concluded that some change is needed. Although the data may be strong enough to conclude that some action needs to be taken, and although the issue may be apparent from performance metrics (e.g. conversion rates, engagement levels), creative fatigue, workflow lag, or channel efficiency, it takes time to implement the required changes.
At this point, many teams are stuck. They create dashboards, conduct performance reviews, and compile recommendation lists, but they have difficulty converting these recommendations into tangible actions. An additional asset needs to be developed. A new process needs to receive approval. The regional version of a campaign needs to be updated. The media buy needs to be adjusted by another team to adjust timing or budget. The delay is often related to the coordination of one step downstream of the identified problem.
Where optimisation gets stuck
Teams often know what should improve before they are operationally ready to improve it.
- Performance teams identify a change, but production capacity is already committed elsewhere.
- Creative updates are requested, but approval cycles move too slowly for the insight window to stay relevant.
- Teams can see where budget or effort should shift, but resource constraints prevent timely reallocation.
For example, a Portuguese bakery exporting bread to London has data showing strong demand for its products. However, the company’s sales are declining due to poor packaging and a lack of differentiation from the competition. The company’s team understands the solution (update branding, adjust messaging, improve delivery timing), but the caveat is that the solutions can not be delivered in a timely manner. Design is being held up, approval processes are taking a long time, and the retail and logistics teams are not working together to implement the changes. So essentially, a small tweak is taking forever, just because of outdated workflows and processes. One way to optimise this is to create a marketing optimisation loop.
How to do marketing optimisation
One useful way to think about this is that optimisation is often seen as a repeated or continuous loop, rather than a single transaction. So, we recommend viewing optimisation as an iterative process rather than a one-time transaction. This loop comprises three key elements, followed by measurement and the next actions.
First, your team observes a signal. Second, based upon that observation, your team determines what variables matter for the outcome. Third, your team implements changes and measures their impact. Fourth, the outcome of those measurements determines what actions your team will take. Each element in this loop can be affected by many different operating conditions.
Teams detect what is underperforming, changing, or improving through performance and workflow data.
Leaders and specialists decide which changes are meaningful enough to act on now.
Teams update creative, channels, spend, timing, workflow, or resource allocation.
The effect of the change is tracked clearly enough to separate signal from noise.
Learning feeds into the next round of action instead of sitting inside reports.
For example, a marketing team notices that email open rates have dropped, which signals something is off with subject lines or timing. They decide to test new subject lines and send times, roll out the changes, and track how performance shifts over the next few campaigns. Based on what works, they double down on the best-performing version and repeat the process to keep improving results.
What are teams optimising for marketing
Marketing optimisation isn’t simply about improving campaign performance. Teams that describe their work by different titles may be working toward the same three goals. In terms of how teams perform on those goals, they want better results, faster development from insight to action, and better alignment of resources for the larger portfolio.
| Optimisation focus | What it improves | Typical example |
|---|---|---|
| Performance optimisation | Campaign, channel, or asset outcomes in the market | Changing creative, targeting, or spend based on response data |
| Workflow optimisation | The speed and reliability of implementing improvements | Reducing approval delay, rework, or production bottlenecks |
| Portfolio optimisation | How budget, resources, and attention are distributed across work | Shifting support away from low-impact initiatives towards stronger opportunities |
When we consider these layers of a team as individuals, we may find ourselves optimising one part of our operation while neglecting the other parts. In such a case, if an organisation can optimise its campaign, it may do so by making improvements in other areas affected by those changes. For example, a team might improve ad performance by pushing faster creative updates, but in doing so overload approvals and create bottlenecks that delay launch timing. The campaign looks better in isolation, but the overall workflow slows down and limits the actual impact. If this sounds familiar to your team or organisation, we’ve created an easy-to-follow guide on improving cross-functional collaboration.
What are some common marketing optimisation problems?
When optimisation feels slow or inconsistent, the first task is diagnosis. Teams often know they are not improving at the pace they want, but they are less clear on what is causing the drag. Below is a breakdown of some common problems in marketing optimisation
Teams produce lots of reports but few changes
This indicates a weak connection from data insights to implementation. Although the team may be able to provide reasonable metrics for their campaign’s performance, without a clear process to prioritise and execute changes, the campaign’s optimisation will begin to slow. This will also affect the campaign’s confidence in testing since they will lose faith that the data insights generated will be implemented.
Useful changes are identified but keep slipping
When valuable recommendations are clearly defined but continue to be delayed, it is typically due to capacity constraints or poor prioritisation. Although the team knows what they need to do, the team lacks either the time or focus to dedicate to the actions required. As a result, the campaign will experience lower rates of execution and overall optimisation throughout the campaign.
Teams debate what matters but do not decide fast
This is most commonly a function of unclear ownership or ineffective decision-making processes. There may be too many stakeholders involved, or no single person may be responsible for making the ultimate decision. Both scenarios will ultimately limit response time to real-time performance indicators and make optimisation more difficult to execute when time is of the essence.
The same issues recur across campaigns
When the same challenges recur repeatedly within a campaign, it is likely that the lessons from past challenges have not been adequately documented or integrated into current processes. The team may resolve issues in the short term, but the lessons learned are not being fed back into future planning, workflow, or testing decision-making. As a result, the organisation will suffer reduced long-term efficiency and limited cumulative knowledge acquisition.
Teams know where to improve, but cannot free up effort
In most cases, the apparent optimisation challenge is actually a resource constraint masquerading as one. In these situations, the team has identified potential areas for improvement and logical follow-up steps; however, there is insufficient capacity to pursue them. Ultimately, this will slow the rate of change and reduce the organisation’s ability to capitalize on timely opportunities.
This last issue is especially common. Teams may have good signals and sensible ideas, but still lack the operational space to act on them. That is why Screendragon’s article on resource constraints in marketing is so relevant to optimisation. Improvement often depends less on finding the right idea than on having enough room to implement it.
What the data says about optimisation speed and learning
A useful way to think about your organisation’s level of optimisation maturity is to evaluate how quickly you can go from having some insight into where your business needs improvement to making the changes that will bring about those improvements. Smart Insights has produced excellent benchmarking material to get you started. The speed of this process in a lower maturity environment is typically slow, manual, and unpredictable. In a higher-maturity environment, the same process is much faster and more predictable because the organisation has already identified the decision-making process.
This is a directional planning model rather than an external benchmark, but it captures an important truth. Optimisation maturity is not just about providing data on your business’s performance; it is also about how quickly you can implement the insights from data analysis into real life.
The second dataset illustrates the same idea as the first. Most organisations with strong optimisation capabilities spend less time developing plans, getting buy-in from stakeholders, and debating and arguing over what to do, and more time actually doing things like executing.
Low-maturity vs connected optimisation models
Another way to think about optimisation is to look at the differences in how an organisation works. The low-maturity model uses periodic reviews of results and discussions of new ideas with the team to determine when they can make changes. Although optimisation occurs in this type of model, it is infrequent and heavily dependent on manual coordination. In a connected model, the planning and execution of work incorporate optimisation, thereby providing a much clearer path for insights to be turned into actions.
| Low-maturity optimisation | Connected optimisation |
|---|---|
| Reporting is regular, but action is uneven | Reporting is tied to clear decision and implementation routes |
| Teams rely on manual follow-up to get changes moving | Changes move through defined workflow and ownership structures |
| Capacity for improvement work is unclear or ad hoc | Resources can be assessed and reallocated with greater visibility |
| Learning stays within teams or reports | Learning feeds back into future work, priorities, and delivery decisions |
The difference is not that connected teams are constantly optimising everything. They have a better operating route for acting when something is worth changing. That makes optimisation less dependent on heroics and more dependent on system design.
How workflow orchestration improves marketing optimisation
Optimising processes is most successful when teams can move through the different levels of measurement, planning, resourcing, and delivery without losing focus on what they are trying to achieve. This is an area where Workflow Orchestration is critical, as it links the optimisation process with the same systems that handle the flow of requests, assets, approvals, and deliveries. And marketing optimisation improves your marketing, which leads to more income in your business. We’ve seen it time and time again.
For example, let’s say a Luxembourg-based marketing team launching a new premium water product for a major European brand runs into the usual issues. There is work spread out across multiple email exchanges and tools. Feedback takes too long, and approval processes delay work. On top of this, small, local changes to the workflow disrupt the project’s timeline. Once the marketing team switched to Screendragon, all project components were contained within a single system. All workflows were now connected, approvals moved faster, and the marketing team could improve the campaign’s performance while it was still active.
Screendragon’s marketing resource management technology uses agentic workflows to orchestrate marketing work. Provides teams with a common environment for visibility, prioritisation, resource allocation, approvals, and workflow control. This enables the optimisation process to move from insight to action.
Turning optimisation into an operating advantage
Stronger optimisation models lead to teams that learn faster and respond more deliberately; they are not only better at analysis but also at moving change through an organisation. Teams with stronger optimisation models can create systems in which small gains compound.
FAQ
Why does marketing optimisation often move slowly
This is typically due to an operational (or process) limitation rather than an analytical one. While teams may be able to identify potential optimisations, they may not have the necessary ownership, bandwidth, or approval processes.
How can marketing teams improve optimisation quickly
Typically, the most rapid improvements come from establishing a consistent rhythm for reviewing data, assigning accountability for decisions, identifying and executing the highest-impact opportunities first, and ensuring the team has the capability to execute on insights gained.
What role does marketing resource management software play in optimisation
Marketing resource management software enables optimisation by providing a single platform for connecting performance visibility with the associated workflows, resource utilisation, approvals, and priorities. To understand if it’s time for your team to invest in marketing resource management software, check out our blog.