Part 1 of this series looked at the broader claims environment: rising activity, larger invoices, more complex work, and a more contested negotiation landscape. Part 2 goes deeper into the operating patterns behind those trends.

Using a representative subset of the 10,000-plus claims submitted through OCS from the end of last year through the first quarter of 2026, we examined how first offers are positioned, how long different claim types take to resolve, how contractor scale affects outcomes, and where active claims tend to sit in the pipeline. The purpose is to translate claims data into practical guidance for owners, managers, and billing teams making decisions about cash flow, staffing, and escalation strategy.

Methodology: All figures are derived from claims submitted through the OCS platform. The dataset includes a mix of franchise, independent, multi-location, and single-location contractors. Carrier names have been omitted to focus on industry-wide patterns. Exact dataset figures have been generalized; all directional findings reflect statistically meaningful sample sizes. Invoice figures throughout this section reflect the contractor’s net cost of work, excluding pricing markup.

The First-Offer Reality

Perhaps the most consistent pattern in our dataset is the “first-offer gap.” Initial carrier offers almost universally fall below the cost of completed work, and this gap widens as claim size increases. Across claims in our active dataset with at least one offer recorded, first offers averaged between 59% and 87% of the net invoice, depending on invoice tier.

On the smallest claims, those under $5,000, carriers tend to open closest to the cost of work, typically in the mid-80s as a percentage. As invoice size climbs, the opening offer compresses more aggressively. On claims over $50,000, the first offer averaged in the upper 50s as a percentage of net invoice.

The dollar gains from negotiating past the first offer tell an equally important story. On small claims, the movement from first offer to final collected amount is minimal. In some cohorts, the final collected amount is essentially flat with the first offer because contractors accept the opening number. On mid-range claims in the $10,000 to $20,000 range, the gain from negotiating past the first offer averages roughly $1,300 per file. On large claims over $50,000, that average gain exceeds $10,000 per file.

For an owner or head of operations, this confirms a critical strategic truth: the first offer is a floor, not a midpoint. Success in this environment requires a systematic approach to advocacy that refuses to treat aggressive opening positions as final settlements.

This matters because the first offer is often treated emotionally by contractors. It can feel like a judgment on the work, the crew, or the company. Operationally, it should be treated differently. The first offer is the starting position in a negotiation, not the final statement of value. When the file is well documented, the contractor has room to respond with evidence rather than frustration.

The data also reinforces a familiar cash-flow reality: claim type affects resolution time. Standard water mitigation and contents-related claims often move on a more predictable timeline, while fire, combination, specialty remediation, and multi-discipline files generally take longer. Larger and more complex claims require more review, more coordination, and more negotiation cycles. They may be worth more, but they also tie up working capital for longer.

That means contractors should not evaluate revenue mix by invoice size alone. A high-value claim that takes substantially longer to resolve has a different cash-flow profile than a smaller file that closes quickly and consistently. Owners need to understand the relationship between claim type, expected collection timing, crew utilization, and operating reserves. Growth without cash-flow planning can create pressure even when sales look strong.

Cycle Times: How Long Claims Actually Take to Close

Resolution time varies meaningfully by claim type, and the spread is wider than most contractors plan for. In our closed-claims data from this period, water mitigation files closed at a median of 43 days. Fire claims, with substantially higher invoice values and more complex documentation requirements, closed at a median of 70 days, the longest of any category we tracked.

Combination claims, involving multiple service types, sit close behind at a 62-day median. At the faster end, mold and testing claims closed in roughly 25 to 29 days.

That 27-day spread between water and fire median close times is not just a process observation, it is a cash flow planning input. The higher gross collection on fire claims is real, but it comes with a longer wait and a more complex documentation and negotiation pathway. Contractors with a heavier mix of fire and combination work are carrying longer days-sales-outstanding cycles even as their gross collection per claim is higher. Working capital planning needs to reflect claim mix, not just claim volume.

Does Scale Matter? Depends on How You Look at It

Contractor scale adds another layer to the data. Segmenting by submission volume reveals a nuanced picture, one that challenges some intuitive assumptions about scale and performance.

The enterprise-scale contractors in the dataset (those submitting 100 or more claims in the period) generated nearly three-quarters of total claim volume, with an average invoice around $11,400 and a formal escalation rate just above 11%. These operations run high-volume, process-driven claim pipelines with a heavy concentration of standard water mitigation work, which produces consistent monthly volume but lowers the per-claim average compared to operators working more complex project types.

The mid-size tier (roughly 20 to 49 claims in the period) shows the highest per-claim averages of any group, around $16,300, reflecting a heavier concentration of complex or specialty work.

Smaller contractors (under 20 claims) follow closely with averages in the $15,000 to $15,500 range, suggesting a similar focus on larger, more complex projects but at lower submission volumes.

Interestingly, the large tier (50 to 99 claims) shows the lowest per-claim averages of any group, around $9,400, which suggests these operators are running concentrated water mitigation pipelines at moderate scale.

Neither model is automatically better. Enterprise-scale volume creates process advantages and consistency that can support staffing, systems, and recurring billing processes, but it can also expose a company to a large number of small margin leaks if documentation standards are inconsistent. Smaller and mid-size operators may have the benefit of selectivity, but they cannot afford procedural mistakes on a limited number of high-value files. In both cases, the lesson is the same: claims performance depends on repeatable systems, not just job quality.

The Independent Adjuster Effect

Roughly one in five claims in this period involved a third-party, or independent, adjuster rather than a carrier staff adjuster. These files show systematically different characteristics across every dimension we track.

The average invoice on third-party adjuster claims was approximately 40% higher than on carrier-staff claims. The formal escalation rate was roughly 58% higher. Resolution time was modestly longer. Collection rate was slightly above the carrier-staff average, but only marginally, suggesting the higher invoice and higher advocacy effort largely offset one another on a percentage basis.

Carriers assign independent adjusters to higher-complexity, higher-value files. That is why the invoice premium exists. The corresponding escalation in appraisal demand rate is a downstream consequence: these files are more contested because they are worth more and because independent adjusters are often more experienced at applying pressure during the initial adjustment process.

The interpretation matters. For contractors, identifying when an independent adjuster has been assigned is a signal, not just a process detail. It doesn’t mean the claim will necessarily go poorly. It does mean the contractor should recognize the assignment as an early warning that the file may require more complete documentation, tighter communication, and a longer settlement runway. Recognizing that signal early and adjusting accordingly is the difference between being reactive and being prepared.

Summary: What the Data Is Telling Us

In the overall analysis, a few statistical realities stand out clearly.

First offers are aggressive and get more aggressive as invoices grow. Treating the first offer as a settlement, especially on larger files, is one of the most expensive habits in the industry. The data shows meaningful dollar recovery for those who negotiate past the opening number.

Cycle times vary by claim type in ways that matter for cash-flow planning. A contractor running a fire- and combination-heavy book needs working capital structured for 60- to 70-day cycles, not 40 to 45. This is a planning variable, not a surprise.

Operational scale shapes outcomes, but not always in the direction you would expect. Enterprise operators drive volume and consistency. Mid-size operators often submit the highest per-claim averages. Very small operators show atypical collection rates that reflect file selection, not necessarily negotiating strength.

Third-party adjuster involvement is a complexity signal. When you see an independent adjuster on a file, plan for a longer, more contested resolution process and front-load your documentation accordingly.

The data confirms what many operators already feel: the claims environment is more contested than it was, and the cost of being unprepared is rising. But it also points to a practical opportunity. Contractors who understand the patterns behind claim outcomes can make better decisions, protect cash flow, and recover more of the revenue they have already earned.

At OCS, this data shapes how we advocate. It informs when we escalate, how we open negotiations, and where we focus documentation review. We share it because restoration contractors deserve to make strategic decisions with real statistical context, not anecdote, not intuition, and not outdated assumptions about how the claims process works.