Why More Teams Don’t Always Mean Better Results
The coordination tax for someone responsible for generating a qualified pipeline for a company is essentially the cost of having to deal with all these different entities and ensuring that all of them work together
In marketing, coordination tax is the invisible cost of getting business outcomes delivered through too many disconnected teams, tools and handoffs. A modern marketing setup is inherently complex, with multiple teams involved across the entire process. There are strategy teams that decide the overall campaign direction. There are media buying teams that decide channel distribution and inventory across various marketing platforms. Then there are creative teams, and often several teams within creative itself, such as static design teams, video teams, and channel-specific creative specialists.
The coordination tax for someone responsible for generating a qualified pipeline for a company is essentially the cost of having to deal with all these different entities and ensuring that all of them work together. This coordination burden consumes a significant amount of bandwidth for the marketer handling this function. Their core KPI remains the same: generating a certain amount of qualified pipeline for the sales team. The sales team then takes that qualified pipeline and converts it into revenue.
The reality is that nearly 70% of the bandwidth goes into coordinating between various stakeholders and moving parts, versus actually thinking about what will make something work. The questions that really matter are different: What is the right message for this business objective? What should we test? Which audience is responding? Which prospects are actually serious? These are the things marketers genuinely want to spend time on, but they rarely get the bandwidth to do so because coordination itself becomes the job.
How coordination tax impacts businesses
Coordination tax impacts businesses in more ways than one. Due to extended coordination timelines with multiple teams, most marketing campaigns launch much slower than what is ideal. Every company has revenue targets. Those targets eventually become pipeline targets for marketing and conversion targets for sales.
Sales teams typically have increasing targets month-on-month, and for them to even begin meaningful conversations, they need a qualified pipeline coming in consistently.
Most businesses operate with a sales cycle. In real estate, that cycle may run for months. In education, it may be shorter and tied to admissions timelines. In automotive or BFSI, response speed and qualification can change conversion outcomes very quickly. In every case, revenue does not happen instantly.This means that if a sales team has a target for a given month, the marketing engine should ideally be creating qualified prospects well before that month begins. In many businesses, campaigns need to be planned, tested and optimised weeks in advance.
But because of the coordination tax being paid internally, campaigns get delayed. When timelines tighten, campaigns are often launched in haste just to meet internal deadlines. The result is predictable: spend begins, but the campaign may not have the right message, creative depth or qualification feedback to support the revenue goal.
Slower Optimisation and Problem-Solving
The second impact is slower optimisation. The marketer may see campaign data quickly — clicks, cost per lead, impressions and lead volume. But the more important feedback often comes later: were the leads reachable, serious and relevant? Did sales find them useful? Did they move to the next step? By the time that feedback comes back from pre-sales or sales, the campaign may already have spent heavily in the wrong direction.
Increased Pressure on Sales Teams and Revenue Outcomes
The final impact is that delays in launching campaigns and delays in fixing them eventually create pressure downstream, especially on sales teams. This is particularly true in high-ticket B2C industries such as real estate, automotive, healthcare, and BFSI, where experienced salespeople are expensive. If campaigns are delayed or poorly optimised, sales teams end up spending time on the wrong set of prospects.
How is AI changing coordination dynamics?
A marketer cannot realistically be an expert at everything. That is why teams became specialised in the first place. The problem is not specialisation itself. The problem is when every small execution step requires a separate handoff.
Where AI has fundamentally changed the equation is that it has enabled execution across different functions directly through one individual.
For example, if a campaign requires 30 static creatives, the older process would involve a designer or creative team, a brief, revisions, approvals and multiple follow-ups.
Traditionally, the marketer had to explain the campaign, coordinate revisions, wait for outputs and continue the loop until the creatives were ready. The delay was not always in the design work itself; it was often in the coordination around it.
AI does not eliminate the need for creative judgment, but it can remove a large part of the repetitive coordination layer.
AI Is Reducing Dependency Across the Marketing Workflow
The dependency that marketers earlier had on multiple execution-focused human teams is now transitioning toward products and AI systems. Earlier, even after campaigns were launched and leads started coming in, marketers still had to depend on call centres or pre-sales teams to manually call leads and collect qualification feedback. Now, with Voice AI, they can deploy an AI voice bot connected directly to campaigns. The moment a lead comes in, within seconds the bot can start interacting with the lead, run through qualification questions, and provide immediate feedback back into the system.
Activities that were earlier manual and dependent on multiple human-led teams can now be executed directly by the manager using AI tools.
From Coordination to Orchestration
Today, there are many AI tools that solve individual tasks extremely well. But increasingly, AI is also starting to manage orchestration itself, which is the natural response to coordination complexity.
AI understands the business context, thinks through the objective, plans campaigns, connects workflows, and recommends execution paths. The marketer’s role is no longer about constantly coordinating between people and teams. Their role shifts toward decision-making, judgment, and strategic thinking, which is what digital marketing managers always wanted to focus on in the first place.
The article is authored by Darshan Subash, CEO and Co-Founder, Revspot