Customer experience metrics describe what happened but rarely suggest what to do about it, and almost never convey what a moment was actually worth. Today, the CX industry is beginning to close that gap with journey analytics, lifetime value and retention economics.
Contact center decisions migrated downward; cost stayed averaged at the top. AI exposed the gap – and it’s a net worth problem for the business.
But net worth has always been a subtraction exercise, and it’s the answer the business needs from you. Whatever the total worth of a customer or a moment, its net worth is what’s left after the cost to serve – and the cost part of the equation has quietly fallen behind worth.
It’s not because anyone ignored cost. An average cost is accurate at the level it was built for, and a top-level figure that never looks wrong never draws a second look.
But as contacts evolved into engagements layered with live agent, technology, automation, and processes, the decision mechanics started migrating down. Decisions now live inside contacts – in queues, and activities handled by a mix of human agents, automation and AI-driven resources – while cost measures stayed at the top.
That’s the unexamined half of customer worth: not a number nobody watched, but a number that decisions have quietly evolved away from.
Value Gets Measured. Cost Gets Averaged.
A customer journey can cross multiple channels on its way to resolution: self-service, chat, live agent; all of them can be layered with technology, process, and automation. Each stop, layer, and switch is a distinct activity.
What’s cool is operations can measure all the activity from the ground up – contact by contact, channel by channel, down to time and disposition. Ask what happened anywhere in the journey, and for how long, and someone can tell you what it means.
Ask what that same granular part of the journey cost, and the answer will be an allocation of an average cost that originated from the top down.
The asymmetry between bottom-up activity and top-down cost is the point where net worth happens, and it’s the one point where activity and cost aren’t equivalent anymore.
Average Cost is a Tool With a Purpose
Average cost per contact has been useful for a long stretch to defend a budget, justify a hire, and show a trend. It worked because contact centers were reasonably uniform: similar contacts, handled similar ways, by people paid similar wages.
But contact centers have changed. Agents work at very different wages. The same queue contains a thirty-second interaction and a twelve-minute one. Technology alone can now handle entire contacts while back-office and manual work get counted alongside voice queues.
The quiet reality is contact center work isn’t similar anymore. No alarm went off when that happened because nothing about the work announced the change. Complexity happened and the contact center kept moving forward with it.
And while the work was changing, the business changed what it asks for – net worth by product, service, and line of business, not a blended total.
What’s turned the lights on is AI and the questions around its ROI. It’s a board-level event, deployed inside queues and work layers, not across the whole operation – exactly where the decisions are already being made.
This major industry shift has exposed the gap between what an average cost was designed to tell you and what the business needs to know. Actual costs, built from the ground up at the level decisions are made, provide the one answer that averages simply can’t.
When Average Cost Met Actual Cost
I spent six years on the cost side of one contact center business case. There we built actual costs from the ground up – activity by activity, contact by contact. Then we built an average-cost model from those same figures and compared them. Same inputs, two methods, so any difference belongs to the method.
At the whole-operation level the two numbers agreed closely, because an average of everything returns everything. Things got different from there. At the queue level, the drift was plain.
Compared to the actual cost, an average can be more than 10% higher one month, then 10% lower the next. The activity underneath hadn’t changed, so the swing belonged to the method, not the work.
The other thing we learned was key to net worth: some of the money a contact center spends reaches customer engagement, and some doesn’t – and the distance between them is measurable. Actual costs by agent, channel, queue and contact are what make it measurable. The client applied what the numbers surfaced and realized savings averaging over $100 per agent per workday across their first year – client-reported, with revenue and CSAT held. These were savings for the taking, not cuts into bone.
What was also insightful was that while a delta of 10% from the average wasn’t totally worrisome, the unknown direction of the delta was. That’s because it changed without warning and meant the feedback loop between the work and its cost was unverifiable.
What it Costs the People Who Work for You
The biggest consequence of an average cost below top level is misdirection.
That’s because a cost allocated to a queue gets inherited by its resources, so every manager carries a share of the other teams’ cost. Some will read more expensive than they really are, others cheaper. Sort the average down to the agent and it drifts again because agents aren’t paid the same and don’t handle contacts the same way.
So decisions made by managers about their people and resources are artificially influenced by a cost delta they can’t verify. Is a team or agent carrying a queue while looking too costly? Or just the opposite?
It also means the team performing well can’t demonstrate it financially because no one can prove their worth on a number that carries someone else’s costs and changes without verification.
Lastly, the misdirection caused by the average and actual cost gap can compound: the wrong queue draws the scrutiny, the wrong change gets funded, the wrong training gets prioritized, the wrong work gets recognized.
Not because anyone chose badly but because the cost under the choice was pointing in the wrong direction.
What it Costs the People You Work For
Every revenue dollar carries finite margin, and the contact center spends some of it on every interaction. Without the actual cost of the work by queue, team or customer, no one can prove margin is protected to a level that makes sense to the business.
Before this evolution in contact center complexity, the average cost did a good job. But it wasn’t designed to measure cost accurately at the queue level or below, and this is where the cost gap stops being an internal contact center detail.
At the C-suite level, revenue that looks positive could be losing money with the gap between average and actual cost masking what the work truly costs. Conversely, a queue that reads as expensive could be doing a good job of protecting margin.
When leadership is left with average cost figures that lack signals they can manage, the contact center is classified as a “cost center.” The value may be there, but without enough precision to prove where it’s created, leaders can’t manage it with confidence.
Actual Costs are the Way Forward
When costs are built from the bottom up from actual inputs, CFOs and CIOs recognize the difference. That’s how a cost center earns a seat at the table: not by claiming strategic value, but by proving it with financial evidence the business can understand and verify.
Customer experience is built on economics as well as emotions. Yet the economic case still rests on two very different levels of precision: one side is measured from the ground up, the other is still a top-down average. That makes it harder to see what an interaction, queue, customer, or experience is truly worth to the business. The next time a business case lands on the table, the question shouldn’t be whether the numbers add up — it should be whether the cost figure reflects what the work actually costs.
If the costs can’t verifiably prove positive net worth at the level of the decision, how can the business see the strategic value?
Robert Bradshaw is the founder and president of WiserOwl, which measures the actual cost of contact center work – from the ground up, activity by activity – across the activities, processes and technologies that shape the customer experience.
Photo by Kate Pierotti on Unsplash
