Data ServiceTitan Published on August 11, 2025
6 min read
How PEs Can Unify Data from Multiple ServiceTitan Instances
How PEs Can Unify Data from Multiple ServiceTitan Instances
Eugene van Ost
Eugene van Ost Peaka / IT Soothsayer

How PEs Can Unify Data from Multiple ServiceTitan Instances

When a private equity firm rolls up multiple home service businesses—plumbing, HVAC, electrical, pest control—there’s a high chance each acquired brand runs its own ServiceTitan account. While this best-in-class software helps operators manage scheduling, dispatch, and invoicing, it wasn’t built with multi-entity portfolio reporting in mind.

What begins as a tech upgrade at the individual company level quickly becomes a reporting and data integration nightmare at the platform level. KPIs don’t line up. Data sits in silos. Board decks rely on delayed, manual exports. For firms operating on a 3-5 year value creation timeline, this fragmentation acts as a bottleneck to EBITDA growth.

This post explores how PE firms can unify disconnected ServiceTitan instances and why that capability is critical to unlocking real operational insights across a portfolio.

The problem with disconnected ServiceTitan instances

Most home service roll-ups result in each brand retaining its own ServiceTitan environment. While this allows for a smoother transition as teams continue working with a platform they are already familiar with, it also leads to a few problems:

  • Inconsistent reporting: Each entity maintains its reporting habits, with KPIs being defined and calculated slightly differently across the portfolio.

  • Manual processes: Data replication from one spreadsheet to another and manual data exports via CSV remain the primary methods of data consolidation.

  • No real-time insights: Without a unified, live view of data, leadership and portfolio managers lack the data needed to draw insights from and have to rely on outdated data.

  • Blind spots across brands: It’s nearly impossible to benchmark technician utilization, close rates, or marketing ROI across the portfolio in the absence of integrated data and standardized metrics.

As Peter Drucker once said, “You can’t manage what you can’t measure.” This is especially true for PE firms that lack a single source of truth across their portfolio. It means flying blind when it comes to performance optimization and wasting precious weeks every quarter preparing investor updates.

What ServiceTitan consultants actually need

A central view of portfolio performance isn’t a simple reporting upgrade; it’s a source of competitive edge when you’re rolling up underperforming home service companies. Here’s why:

  • Benchmarking across brands becomes possible. Why are jobs closing faster in Dallas but not in Phoenix? Is one brand’s tech utilization lagging?

  • Revenue leaks, margin opportunities, and unusual trends are easier to spot when KPIs are normalized across entities.

  • Faster time-to-insight helps PE firms stay agile, especially when strategic decisions must be made between board meetings.

  • Board and LP reporting becomes more consistent, more reliable, and less dependent on ad hoc Excel work.

In short, centralized data unlocks the full potential of a buy-and-build strategy.

The traditional data stack: Why it doesn’t work for PE roll-ups

Some firms attempt to unify their ServiceTitan data by assembling a traditional data stack. On paper, it seems the logical thing to do: use Fivetran or Airbyte to extract data, store it in Snowflake or BigQuery, model it in dbt, and visualize it in Tableau or Power BI. But the reality? It’s a bad fit for the needs of a PE firm for a variety of reasons:

  • Cost: Traditional data stacks require significant upfront investment in tools, data engineers, and months of setup, which easily add up to $150K+ per year.

  • Complexity: Most operators lack in-house data teams to run and maintain these systems, resulting in these initiatives becoming full-blown IT projects with six-figure costs and unclear ROI.

  • Misalignment with PE timeline: By the time a traditional data stack begins delivering ROI, a PE is halfway through its value creation window, which typically lasts 3-5 years.

All in all, the capabilities of traditional data stacks are overkill for companies that are simply trying to surface technician performance or revenue per job and fire up real-time KPI dashboards.

PE firms don’t need a data warehouse; what they need is answers. Fast. That’s why a nimble solution like Peaka, which connects directly to multiple ServiceTitan instances and delivers insights within days, is far better suited for lean operating teams and compressed timelines.

What the ideal solution looks like

A solution designed for PE operators needs to go beyond point-to-point integration. It should:

  • Connect to multiple ServiceTitan accounts at once

  • Normalize data schemas across brands and define standardized KPIs

  • Integrate ServiceTitan with accounting tools like QuickBooks, XeroAccounting, or Sage Intacct

  • Require minimal IT involvement, given most operators lack full-stack data teams

  • Work with modern BI tools, supporting dashboards in Power BI, Looker Studio, Metabase, and more

How Peaka solves the fragmentation problem

Peaka was built with multi-tenant ServiceTitan environments in mind. This makes it ideal for PE-backed home service platforms.

Here’s how it works:

  • Connects directly to each ServiceTitan instance: No custom engineering or connector development required.

  • Creates a unified data layer: Peaka consolidates and models data from each brand into a single, standardized structure.

  • Visualizes performance KPIs in real time: Revenue trends, job close rates, technician efficiency, and more are available instantly.

  • Reduces reliance on data teams: With text-to-SQL capability, even non-technical users can explore, filter, and report on portfolio data.

  • Deploys in days, not months: Perfect for value creation plans where every quarter counts.

Key takeaways

  • PE-led roll-ups using ServiceTitan often struggle with fragmented data and inconsistent reporting.

  • Unifying these ServiceTitan instances enables faster insights, better benchmarking, and higher ROI.

  • Peaka offers a fast, low-lift way to centralize multi-brand performance data—no data warehouse or BI team required.

Getting started with Peaka

If you’re managing a growing portfolio of ServiceTitan-based businesses, you don’t need to keep stitching together spreadsheets or waiting on analysts. Peaka can help you unify your data, accelerate reporting, and create the visibility your value creation plan demands.

Book a demo to see how we help PE firms simplify ServiceTitan data integration and unlock portfolio-wide insights in days, not months.

faq-icon

Frequently Asked Questions

<p>Each acquired brand typically operates its own ServiceTitan instance after a roll-up, leading to fragmented data and inconsistent KPI definitions. ServiceTitan doesn’t provide native multi-entity consolidation, so PE operators are forced to rely on manual exports and spreadsheets, which makes portfolio-wide reporting slow, inconsistent, and error-prone.</p>
<p>Traditional data stacks require expensive tools, engineers, and months of setup, which render them an ill fit for PE firms operating on tight value creation timelines. Peaka eliminates that overhead by connecting directly to multiple ServiceTitan accounts, standardizing data, and pushing data to BI tools in real time without needing a full data team or custom infrastructure.</p>
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