Marketing Without Operations Is Costing DSOs Millions. Here's What Lockstep Looks Like in Practice.

Ryan Torresan, the CMO and COO at Mosaic Dental Collective, has written a candid argument that every dental support organization leader should read. He argues that growth doesn't come from leads, but from access and execution.

According to Torresan, AI isn't replacing marketing; it's showing where DSOs are losing revenue. He identifies the gap between marketing and operations as the main source of this loss, and the dental industry is now openly discussing it.

We fully agree with his argument.

Root Data was built alongside a 50-practice DSO that has deployed it across all locations.

What we've seen within this organization confirms what Torresan is telling the industry. When marketing and operations aren't aligned, DSOs lose millions.

The solution isn't just better leads or better dashboards (which Root Data has), but rather getting marketing and operations to work together using the same metrics, interface, and definition of success.

The following piece shows what it looks like when marketing and operations are in sync, and how AI makes this possible for the first time.

Why Marketing and Operations Are Disconnected in Most Dental Support Organizations

In many dental support organizations, marketing and operations operate in separate spheres. Marketing focuses on metrics such as cost per lead, cost per acquired patient, channel attribution, and ad spend efficiency.

Meanwhile, operations monitor production, collections, hygiene reappointment, case acceptance, and show rates. These two functions use different systems, are evaluated against distinct KPIs, and typically meet monthly to discuss the challenges of the previous quarter.

As a result, marketing often continues to invest in campaigns that attract patients who do not generate revenue, while operations bear the financial burden without a mechanism to hold marketing accountable for outcomes after the inquiry.

Torresan has articulated this issue clearly, and it is a reality that we experienced firsthand while building Root Data.

Why Dental Software Failed to Close the Marketing-Operations Gap

Until recently, closing this gap required human intervention. The workflow in a typical dental support organization was as follows: marketing data resided in Salesforce or the designated CRM, while operations data was stored in the practice management system.

A coach, analyst, or consultant would extract data from both sources, create spreadsheets, identify patterns, and translate their findings into recommendations.

These recommendations were compiled into a slide deck, which was presented at a monthly leadership meeting two weeks later. Operations would then receive the recommendations, plan the necessary changes, and begin implementation.

By the time any adjustments were made at the practice level, three to four weeks had elapsed since the data first indicated an issue.

Each week of that delay resulted in lost revenue for the dental support organization. The problem compounded as the organization waited for a person to bridge the gap between two functions that should have been analyzing the same data from the outset.

This is the challenge that the dental practice analytics category was meant to address, but has yet to resolve. Despite the proliferation of dental software, the hiring of coaches, and the engagement of consultants, the lag in interpretation remains unchanged.

The bottleneck has never been the volume of data; it has always been the human translation layer between the data and decision-making.

How AI Aligns Marketing and Operations Inside a DSO

With an AI intelligence layer integrated into both the practice management system and the marketing stack, marketing and operations now operate from a unified source of truth in real time.

Both teams have access to the same intelligence layer and can pose diagnostic questions to the AI in plain English.

They view the responses in a shared workspace.

This is the scenario we observe at Root Data, which was developed alongside a 50-practice dental support organization. The marketing team and regional managers both have access. When a campaign begins to attract low-value patients, marketing is informed the same day operations begin.

If a specific practice struggles with case acceptance in a particular channel, both teams can identify the trend, ask the AI for insights, and take action without waiting for data to be compiled into presentations.

The intermediary coach is no longer needed. Spreadsheets and slide decks are obsolete. The monthly meetings that used to focus on blame have been replaced with concise thirty-minute accountability checks on completed actions.

In practice, this alignment means the CMO and VP of Operations transition from adversaries to collaborators in driving revenue. The marketing team shifts from merely defending lead volume to advocating for production contributions.

Meanwhile, the operations team no longer quietly absorbs marketing's errors; instead, they highlight issues in real time, backed by data everyone can align on.

What Changes When Marketing and Operations Share an AI Intelligence Layer

The downstream effects are evident throughout the marketing-to-production funnel.

Underperforming campaigns are halted or improved within days instead of quarters, as both teams can observe conversion drops immediately and consult the AI to identify which channel is affecting margins, eliminating the need to wait for an attribution report.

Scheduling capacity issues are identified before they negatively impact marketing ROI. When marketing increases spending on a channel, and operations cannot accommodate the appointment volume, both teams can view the data together and adjust scheduling templates or marketing pacing within the same week.

Lifetime value is assessed by the acquisition channel using actual production data, rather than estimates. The AI can answer questions about which acquisition channel led to patients showing up, accepting treatment, and completing their hygiene reappointments, based on real production data from the PMS rather than projected lead volume.

The dialogue between marketing and operations shifts from assigning blame for quarterly outcomes to a collaborative optimization effort.

Both teams share the same dental metrics, use the same diagnostic interface, and are equally motivated to enhance production rather than focusing solely on leads or schedule fill.

Why High-Growth DSOs Are Adopting the MOPs Operating Model

Torresan describes the alignment of marketing and operations as a strategic necessity for high-growth DSOs. The 50-practice dental support organization we collaborate with refers to it as their current operational approach.

The disparity between his published perspective and their actual practices is nearly nonexistent, as AI has enabled the lockstep model to be implemented at the workflow level rather than merely being an aspiration discussed during leadership retreats.

DSOs that embrace this operational model early will gain a marketing-to-production efficiency advantage that competitors will struggle to match.

With each quarter, the system's accumulated operational knowledge strengthens, diagnoses become more precise, and the connection between marketing decisions and production outcomes tightens.

Root Data serves as the AI intelligence layer specifically designed for dental support organizations. It integrates with your practice management system and CRM, providing essential dental metrics for both marketing and operations on a unified dashboard, and delivers diagnostic insights to either team in clear, straightforward language within seconds.

Start the 30-day trial at rootdata.ai/general/onboarding.