For much of the past decade, the growth strategy for dental service organizations (DSOs) was relatively straightforward: acquire more practices.

With access to inexpensive capital and strong investor interest, dental groups could expand their footprint, increase revenue, and build increasingly large organizations.

But there's a fundamental problem with this strategy.

Acquiring more dental practices doesn't necessarily make the practices you already own perform any better.

And as DSOs grow, so does the complexity of managing them.

I was recently listening to an excellent Group Dentistry Now podcast featuring Patrick Perodin, COO of Smile Partners USA, a dental support organization with approximately 130 locations.

Patrick discussed the operational challenges of managing a growing DSO, including technology adoption, practice management software, organizational support, and strategies for driving same-store growth.

One theme stood out: the increasing importance of improving performance inside existing dental practices.

This is a significant shift in how we should think about the future of DSO growth, dental analytics, and artificial intelligence.

The Economics of DSO Growth Are Changing

The dental industry's consolidation strategy made sense when capital was inexpensive, and acquisitions were relatively easy to finance.

Buy a practice, integrate it into the organization, centralize administrative functions, and, in theory, improve profitability through economies of scale.

But acquiring practices and successfully operating them are two different disciplines.

Higher borrowing costs, rising operating expenses, staffing challenges, and pressure to demonstrate sustainable profitability have changed how investors and operators evaluate dental groups.

A 2025 analysis from Bailey & Company identified same-store sales growth and provider retention as important indicators of successful DSO platforms.

That's an important distinction.

Acquisition growth measures how much larger an organization becomes. Same-store growth measures whether its existing locations are actually improving.

A DSO can acquire ten practices and report significant revenue growth while its original locations stagnate.

Conversely, an organization can generate substantial value without acquiring a single additional practice by improving patient retention, treatment follow-through, provider productivity, and operational efficiency.

None of this means acquisitions are going away. Consolidation remains an important part of the dental industry's future.

It means the ability to consistently improve acquired practices may become just as important as the ability to acquire them.

And that's a much harder problem to solve.

Every Dental Practice Has a Different Growth Problem

One of the most interesting observations Patrick made during the interview was that every practice requires a different level and type of operational support.

One location might need help recruiting a dentist. Another might struggle with marketing. A third might need additional clinical training or support from an experienced regional manager.

This highlights a problem that gets harder as DSOs scale.

Imagine operating 100 dental practices.

You might have standardized systems, centralized accounting, a national marketing team, and regional managers.

But you're still managing 100 businesses with different patients, providers, staffing conditions, local markets, and operational challenges.

Consider three hypothetical practices.

Practice A: A patient conversion problem

This practice attracts plenty of new patients every month, but relatively few move forward with recommended treatment.

The issue might be how you present treatment, financing options, communication, or follow-through on scheduling.

Spending additional money on marketing could generate more appointments without addressing the underlying problem.

Practice B: A patient retention problem

This practice has solid production and strong patient demand, but its hygiene reappointment rate has been declining.

Patients are leaving without scheduling their next preventive visit.

Over time, that creates gaps in the hygiene schedule, reduces recurring patient visits, and can weaken future production.

The priority isn't necessarily acquiring more patients. It's understanding why existing patients aren't returning.

Practice C: A capacity problem

This practice has strong new patient demand, healthy case acceptance, and a consistently full schedule.

But it doesn't have enough available provider hours to accommodate additional treatment.

Its biggest growth opportunity may be extending operating hours, recruiting another provider, or expanding clinical capacity.

All three practices could generate the same monthly revenue.

Yet each requires a completely different growth strategy.

This is why a universal playbook for DSO optimization has limitations.

Standardizing processes creates consistency. But identifying growth opportunities requires understanding what's happening inside each individual location.

Same-Store Growth Is Really a Collection of Smaller Improvements

When people discuss same-store growth, they often treat it as a single financial metric.

But same-store growth is an outcome.

The actual drivers are a collection of operational activities that happen every day inside a dental practice.

For example:

• New patient acquisition determines how many new patients enter the practice.

• New patient show rate measures how effectively scheduled appointments become actual visits.

• Case acceptance and treatment completion reveal whether patients are moving forward with clinically appropriate care.

• Hygiene reappointment rates help indicate patient retention and continuity of care.

• Adjusted production reflects the value of completed services after relevant adjustments.

• Collections and accounts receivable reveal how effectively earned revenue turns into cash.

• Provider utilization shows whether available clinical capacity is being used effectively.

These dental practice KPIs don't operate independently.

They influence one another.

For example, a dental group might increase marketing spending and generate significantly more new patient appointments.

But if appointment show rates decline, those additional bookings may not translate into actual patient visits.

Even when patients arrive, production growth depends on appropriate diagnosis, treatment acceptance, scheduling, and treatment completion.

And even when production rises, collections may lag because of insurance processing or patient payment issues.

Simply tracking new patients or total production won't necessarily reveal where the business is losing opportunities.

This is where the distinction between dental analytics and dental practice optimization becomes important.

Analytics tells you what happened. Optimization helps you determine what to improve next.

For a regional manager responsible for ten locations, that distinction can determine whether Monday morning is spent reviewing spreadsheets or addressing operational priorities.

More Dashboards Don't Automatically Produce Better Decisions

Another revealing part of Patrick's interview concerned practice management software.

Smile Partners USA is working toward consolidating its locations onto a single PMS platform while also building a data warehouse.

Patrick explained that pulling information from multiple systems creates uncertainty about data accuracy.

Anyone who has worked inside a multi-location dental organization understands the challenge.

One practice might use a different PMS than another. Reporting definitions may differ. Data can refresh at different intervals. Historical records may contain inconsistencies.

When an organization can't confidently reconcile its numbers, every operational conversation becomes harder.

Before deciding why collections declined, someone must first determine whether the numbers are correct.

Before comparing two locations, leadership needs to know whether they're measuring the same thing.

Solving these problems is essential.

But another challenge gets less attention.

Even when every practice uses the same software and the data is accurate, someone still has to interpret it.

A DSO might have sophisticated dashboards displaying production, collections, patient volume, hygiene performance, case acceptance, and dozens of additional metrics.

That's useful information.

But which location needs attention first?

Which performance change is meaningful?

Which opportunity is likely to have the greatest operational impact?

Which problem requires marketing support, additional staffing, or management coaching?

A traditional dental analytics dashboard can help answer the first set of questions about performance.

The second set requires context, interpretation, and judgment.

And adding more charts doesn't automatically make those decisions easier.

AI Could Change How Dental Groups Make Operational Decisions

Artificial intelligence is creating an interesting opportunity to rethink how dental analytics software should work.

Much of the current conversation around AI in dentistry focuses on specific tasks.

AI-powered clinical imaging, insurance verification, automated phone answering, appointment scheduling, and clinical documentation are all areas attracting significant investment.

Patrick discussed several of these technologies during his interview, including AI applications already deployed across Smile Partners USA.

These tools generally address a defined workflow.

But another opportunity exists: using AI to help dental operators understand their businesses and decide where to focus.

Imagine a regional manager opening a dental analytics platform on Monday morning.

Instead of sorting through dozens of dashboards, the software highlights three locations that deserve attention.

One experienced a meaningful decline in hygiene reappointments.

Another has strong new patient bookings but a deteriorating show rate.

A third has maintained patient volume while adjusted production per patient has declined.

Rather than forcing the operator to discover these issues manually, AI could identify unusual patterns, provide relevant context, and suggest what to investigate.

The regional manager could then work with each office manager to understand what's happening and develop an appropriate response.

This is a more practical application of AI than the idea that dental practices need an army of autonomous agents replacing their employees.

The goal isn't to remove human judgment.

It's to reduce the time spent finding and interpreting information so people can spend more time acting on it.

Of course, an AI recommendation isn't automatically correct. An unusual metric may reflect seasonality, a reporting error, staffing changes, or a legitimate difference in clinical practice.

The most useful systems will make their reasoning clear, show the supporting data, and let operators challenge their conclusions.

The competitive advantage comes from making better decisions consistently, not simply generating more automated recommendations.

The Data Suggests Operational Execution Matters

Evidence also supports the growing importance of practice-level operational performance.

In May 2026, Planet DDS published its Dental Industry Outlook: Deep Dive, analyzing data from more than 8,500 dental practices.

Among its findings, the most operationally consistent practices in the dataset grew by 6.1%, while the most volatile 10% declined by 3.4%.

The report also identified meaningful differences in new patient volume, capacity utilization, case completion, and revenue cycle performance.

These findings don't prove that any particular technology causes growth. The dataset also reflects practices operating on Planet DDS systems rather than the entire dental industry.

But the patterns reinforce something dental operators already understand.

Performance differences often emerge from the fundamentals of running a practice.

How effectively are patients scheduled?

Are patients returning for preventive care?

Is treatment being completed?

Are providers operating at appropriate capacity?

Is completed production turning into collected revenue?

These might not be the most exciting topics in dental technology.

But they're the questions that determine whether a dental practice is operating effectively.

And when you apply the same operational improvements across dozens of locations, even small changes can become significant at the organizational level.

Technology Won't Replace Great Dental Operators

One important point shouldn't get lost in all the excitement around AI.

Dental practices are operated by people.

Patrick made this clear throughout the conversation.

He described the importance of office managers, the role of regional leadership, and why he spends so much time visiting practices personally.

He also explained that Smile Partners USA's regional managers typically oversee seven to twelve locations and spend much of their time working directly with office teams.

That approach recognizes something technology can't fully capture.

A spreadsheet might show declining new patient appointments, but it won't necessarily reveal that a front desk employee recently resigned.

A dashboard might identify falling production, but the underlying problem could be a provider struggling with a difficult transition.

A report might flag poor treatment follow-through, but improving it may require better communication, patient education, or additional clinical support.

Data can tell us where to investigate.

People provide the context needed to understand what's happening.

And people implement changes.

The best use of AI in dental operations may not be replacing managers, coaches, and operational leaders.

It may be making their expertise more effective.

A skilled regional manager who can quickly identify problems across ten practices has more time to support the teams that need help.

An office manager who understands the most important performance changes each week can make more informed decisions.

A DSO executive who can identify patterns across an entire organization can allocate resources more intelligently.

Technology becomes most valuable when it strengthens the people responsible for operating the business.

The Future of DSO Analytics Is Optimization, Not Reporting

For years, dental practice management software has served as the system of record for appointments, patients, treatment, billing, and collections.

Dental analytics platforms have made that information easier to access and understand.

Both are important.

But the next evolution should be helping dental organizations translate information into operational decisions.

That means moving beyond the question, "How did our practices perform?"

Toward more useful questions:

What changed?

Why might it have changed?

Which locations need attention?

What should we investigate or improve?

And how will we know whether our actions worked?

This is the broader idea behind Root Data, which we're building as an optimization layer for dental practices.

The objective isn't simply to create another dashboard. It's to make practice performance easier to understand and help operators identify what deserves their attention.

For independent practice owners, that means greater clarity about the business they're running.

For multi-location groups, it means a more practical way to compare performance, identify operational problems, and support regional decision-making.

For DSOs, it means using data to inform a continuous cycle of measurement, decision-making, action, and improvement.

The industry still has considerable work to do to make that vision practical. Accurate data, integrations, clinical context, and adoption by operating teams all matter.

But the direction is becoming clearer.

The Next Competitive Advantage in Dentistry

Dental consolidation isn't over.

New practices will continue to be acquired, new locations will open, and dental groups will continue expanding into new markets.

But building a larger organization and building a better-performing organization are not the same thing.

The next generation of successful DSOs will need to excel at both.

They'll need the infrastructure to manage complexity, the operational expertise to support individual practices, and the information systems to identify opportunities before they become costly problems.

AI may accelerate this transition by making complex information easier to interpret and helping operators respond more quickly.

But the underlying objective hasn't changed.

Deliver excellent patient care, operate efficiently, and continuously improve the business.

The future of DSO growth won't be determined by who has the most dashboards or the most AI tools. It will be shaped by who can consistently turn information into better decisions and measurable operational improvements.

And increasingly, that starts with knowing what to optimize next.

To learn more about how we're approaching this challenge, explore Root Data's dental analytics and optimization tools for DSOs.