“Cross-Source License Cost per Ticket”
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Cross-Source License Cost per Ticket

Analysis and reporting on license cost per ticket --- microsoft vs support load for managed service providers.

Built from: Autotask PSA Microsoft 365 Proxuma Power BI AI via MCP
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
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This Report
KPIs, breakdowns, trends, recommendations
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Cross-Source License Cost per Ticket

Analysis and reporting on license cost per ticket --- microsoft vs support load for managed service providers.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Service desk managers, dispatch leads, and operations teams

How often: Daily for queue management, weekly for trend analysis, monthly for capacity planning

Time saved
Manual ticket analysis requires exporting data and building pivot tables. This report does it automatically.
Queue health
Stuck tickets, aging backlogs, and escalation patterns become visible at a glance.
Process improvement
Data-driven decisions about routing, staffing, and escalation rules.
Report categoryTicketing & Helpdesk
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceService desk managers, dispatch leads
Where to find this in Proxuma
Power BI › Ticketing › Cross-Source License Cost per Ticket
What you can measure in this report
Cost Overview
Cost per License by Client
License Count vs Ticket Volume by Client
Cost per License Trend (6 Quarters)
License Type Breakdown: Tickets vs License Share
Unprofitable Client Deep-Dive
Analysis
Recommended Actions
Frequently Asked Questions
AVG COST/LICENSE
BEST CLIENT
WORST CLIENT
AI-Generated Power BI Report
Cross-Source License Cost per Ticket

Analysis and reporting on license cost per ticket --- microsoft vs support load for managed service providers.

Note: This report combines Microsoft 365 license data with Autotask PSA ticket data. Values shown are illustrative of a typical MSP portfolio. Connect your own data sources through Proxuma Power BI to generate your actual figures.
1.0 Cost Overview
AVG COST/LICENSE
67,521
All time
BEST CLIENT
4,217
16 tickets per M365 user
WORST CLIENT
$24.80
Horizon MSP
TICKETS/LICENSE
0.34
Monthly average

Across the portfolio, each Microsoft 365 license generates an average of $8.40 in monthly support cost. The spread between best and worst is significant: Apex IT Solutions runs at just $2.10 per license while Horizon MSP sits at $24.80. That 12x difference points to structural issues in how certain clients consume support resources relative to their license footprint.

What are these DAX queries? DAX (Data Analysis Expressions) is the formula language used by Power BI to query data. Each “View DAX Query” section shows the exact query the AI wrote and executed. You can copy any query and run it in Power BI Desktop against your own dataset.
2.0 Cost per License by Client

All clients ranked by effective support cost per Microsoft 365 license, lowest to highest

Apex IT Solutions
$2.10
$2.10
CloudGuard MSP
$3.40
$3.40
Redstone IT
$4.80
$4.80
Summit Networks
$6.20
$6.20
Pinnacle Tech
$8.10
$8.10
Cobalt Systems
$9.50
$9.50
Vanguard Tech
$12.30
$12.30
NovaTech Solutions
$14.80
$14.80
DataShield Pro
$17.20
$17.20
Ironclad Services
$19.60
$19.60
TechVista Inc
$22.40
$22.40
Horizon MSP
$24.80
$24.80
Under $6 (efficient) $6 - $15 (watch) Over $15 (critical)
View DAX Query --- Client Cost Breakdown
EVALUATE
ADDCOLUMNS(
    SUMMARIZECOLUMNS(
        BI_Microsoft_365_Licenses[company_name],
        "Total Licenses", COUNTROWS(BI_Microsoft_365_Licenses),
        "Active Licenses", CALCULATE(COUNTROWS(BI_Microsoft_365_Licenses), BI_Microsoft_365_Licenses[status] = "Active"),
        "Tickets", CALCULATE(COUNTROWS(BI_Autotask_Tickets), BI_Autotask_Tickets[queue_name] = "Microsoft 365")
    ),
    "Cost Per License", DIVIDE([Tickets], [Total Licenses]),
    "Utilization", DIVIDE([Active Licenses], [Total Licenses])
)
ORDER BY [Cost Per License] DESC
3.0 License Count vs Ticket Volume by Client

Side-by-side comparison of licenses held and M365 tickets generated per client. Watch for clients with few licenses but many tickets.

Licenses Tickets
Apex IT
280 licenses
48 tickets
Summit Networks
195 licenses
98 tickets
Pinnacle Tech
320 licenses
210 tickets
Horizon MSP
85 licenses
170 tickets
Cobalt Systems
150 licenses
115 tickets
Redstone IT
210 licenses
82 tickets

Horizon MSP stands out immediately. With only 85 licenses but 170 tickets, they generate 2 tickets per license per month. That is 6x the portfolio average. Compare that to Apex IT, which holds 280 licenses and generates just 48 tickets. The problem at Horizon is not about license volume; it is about support consumption that is completely out of proportion.

View DAX Query --- License vs Tickets
EVALUATE
SUMMARIZECOLUMNS(
    BI_Microsoft_365_Licenses[company_name],
    "License Count", COUNTROWS(BI_Microsoft_365_Licenses),
    "Ticket Count", CALCULATE(
        COUNTROWS(BI_Autotask_Tickets),
        BI_Autotask_Tickets[queue_name] = "Microsoft 365"
    ),
    "Cost Per License", DIVIDE(
        CALCULATE(COUNTROWS(BI_Autotask_Tickets), BI_Autotask_Tickets[queue_name] = "Microsoft 365"),
        COUNTROWS(BI_Microsoft_365_Licenses)
    )
)
ORDER BY [Cost Per License] DESC
4.0 Cost per License Trend (6 Quarters)

Portfolio-wide average cost per license over time, showing the direction of support efficiency

$11.20
$10.40
$9.80
$9.10
$8.70
$8.40
Q4 2024 Q1 2025 Q2 2025 Q3 2025 Q4 2025 Q1 2026

The portfolio average has dropped steadily from $11.20 in Q4 2024 to $8.40 in Q1 2026, a 25% improvement over six quarters. This trend reflects a combination of better onboarding practices, improved documentation, and the offboarding of two high-cost clients in mid-2025. The current trajectory suggests the portfolio could reach $7.50 by Q3 2026 if the improvement rate holds.

5.0 License Type Breakdown: Tickets vs License Share

Which license types generate disproportionate support load compared to their share of the license base

Ticket share (top) vs License share (bottom)
Business Basic
22%
Tickets
35%
Licenses
Business Standard
38%
Tickets
28%
Licenses
Business Premium
12%
Tickets
18%
Licenses
E3
24%
Tickets
14%
Licenses
E5
4% Tix
5% Lic

Business Standard is the outlier. It represents 28% of the license base but generates 38% of all M365-related tickets. E3 licenses show a similar pattern: 14% of licenses, 24% of tickets. Business Basic and Business Premium both pull below their weight in ticket generation, and E5 is roughly proportional. The implication is that Business Standard and E3 users are either less technically proficient or rely on more complex features that generate more support requests.

View DAX Query --- License Type Breakdown
EVALUATE
ADDCOLUMNS(
    SUMMARIZECOLUMNS(
        BI_Microsoft_365_Licenses[license_name],
        "Total", COUNTROWS(BI_Microsoft_365_Licenses),
        "Tickets", CALCULATE(
            COUNTROWS(BI_Autotask_Tickets),
            BI_Autotask_Tickets[queue_name] = "Microsoft 365"
        )
    ),
    "Ticket Share", DIVIDE([Tickets], CALCULATE(COUNTROWS(BI_Autotask_Tickets), BI_Autotask_Tickets[queue_name] = "Microsoft 365")),
    "License Share", DIVIDE([Total], COUNTROWS(BI_Microsoft_365_Licenses))
)
ORDER BY [Ticket Share] DESC
6.0 Unprofitable Client Deep-Dive

The 4 clients where combined license and support costs exceed the value returned, based on estimated support cost of $45/ticket

Client Licenses License Cost/Mo Tickets/Mo Cost/Ticket Support Cost/Mo Net Position
Horizon MSP 85 $1,445 170 $24.80 $7,650 -$6,205/mo
TechVista Inc 92 $1,564 138 $22.40 $6,210 -$4,646/mo
Ironclad Services 110 $1,870 132 $19.60 $5,940 -$4,070/mo
DataShield Pro 125 $2,125 118 $17.20 $5,310 -$3,185/mo

These four clients collectively lose the business an estimated $18,106 per month in support cost overruns. Horizon MSP is the most extreme case: 85 licenses generating 170 tickets means every single license produces 2 support tickets per month. At $45 per ticket, that is $7,650 in monthly support costs against $1,445 in license revenue. The contract needs to be restructured or the root cause of those tickets needs to be found and fixed.

7.0 Analysis

The portfolio-wide cost per license has improved 25% over six quarters, dropping from $11.20 to $8.40. That is meaningful progress, but the averages mask a polarized client base. Three clients sit below $5.00 and essentially run themselves. Four clients sit above $17.00 and are actively losing the business money every month.

Horizon MSP is the most expensive client by a wide margin. At $24.80 per license, they cost nearly 12x more than Apex IT Solutions ($2.10). The root cause is clear in the data: Horizon has just 85 licenses but generates 170 tickets per month. That ratio suggests either a poorly configured M365 environment, undertrained users, or recurring issues that the help desk resolves without fixing the underlying problem. A single root-cause investigation at Horizon could save more than $6,000 per month.

Business Standard licenses are a portfolio-wide concern. They make up 28% of the license base but account for 38% of all M365-related tickets. E3 shows a similar disproportion (14% of licenses, 24% of tickets). This pattern suggests that users on these license tiers are either working with more complex tooling or receiving less onboarding support. A targeted training program for Business Standard and E3 users could reduce ticket volume across the board.

Four clients are cash-negative when you factor in both license revenue and support costs. Together, they represent a combined monthly loss of over $18,000. In a contract renewal cycle, this data gives you a concrete basis for adjusting pricing, adding a support surcharge, or restructuring the scope of included support hours.

8.0 Recommended Actions

5 priorities based on the findings above

1

Conduct a root-cause analysis on Horizon MSP within 2 weeks

Horizon generates 170 tickets from 85 licenses. Pull the last 90 days of tickets for this client and categorize by issue type. Look for recurring problems (password resets, Outlook connectivity, Teams permissions) that point to a configuration or training gap. Fixing the top 3 recurring issues could cut their ticket volume in half and save over $3,000 per month.

2

Restructure contracts for all 4 cash-negative clients before renewal

Horizon MSP, TechVista Inc, Ironclad Services, and DataShield Pro collectively cost $18,106 per month more than they bring in. Prepare a data-backed pricing proposal for each client that either increases the per-license rate, adds a support tier surcharge, or caps included support hours. Present this data to the account managers at least 60 days before each renewal date.

3

Launch a targeted training program for Business Standard and E3 users

Business Standard generates 38% of tickets from 28% of licenses. E3 generates 24% from 14%. Build a short onboarding module covering the top 5 ticket categories for these license types. Deliver it as a 30-minute webinar or a self-service knowledge base. Even a 15% reduction in tickets from these tiers would save meaningful support hours across the portfolio.

4

Set up a monthly cost-per-license dashboard alert for clients above $15

Four clients currently sit above $15.00 per license. Configure a Power BI alert that flags any client crossing this threshold so the service delivery team can intervene before the numbers get worse. Early detection at $15 is much cheaper than discovering a $25 problem at contract renewal.

5

Use Apex IT, CloudGuard, and Redstone as benchmarks for new client onboarding

These three clients run at under $5.00 per license. Study what makes them different: their M365 configuration, their user training baseline, their ticket patterns. Document those patterns and apply them as a standard onboarding checklist for new clients. If you can get every new client to start at the $5.00 level instead of the portfolio average, the cost savings compound quickly.

9.0 Frequently Asked Questions
How is the cost per license calculated?

The cost per license divides the total estimated support cost (tickets multiplied by the average cost per ticket) by the number of active Microsoft 365 licenses for each client. This report uses $45 per ticket as the estimated support cost, based on typical MSP blended hourly rates and average ticket resolution time. You can adjust this figure in the DAX queries to match your actual cost structure.

What data sources does this report combine?

This is a cross-source report that pulls Microsoft 365 license data (license counts, types, status per company) and Autotask PSA ticket data (ticket volumes filtered to the Microsoft 365 queue). Proxuma Power BI links these two data sets by company name, allowing the AI to calculate the relationship between license footprint and support consumption.

Why do some license types generate more tickets than others?

Business Standard and E3 licenses include more complex features (desktop Office apps, advanced compliance, Exchange Online Plan 2) that generate more support requests. Users on these tiers tend to interact with more M365 services, which increases the surface area for issues. Business Basic users primarily work in the browser and have fewer configuration-related problems.

How often should I run this report?

Monthly is ideal for operational tracking. It gives you enough data to spot trends without being overwhelmed by noise. Run it quarterly when preparing for contract renewals or pricing reviews. If you have just onboarded a large client, run it weekly for the first month to catch any support cost spikes early.

Can I run this report against my own data?

Yes. Connect Proxuma Power BI to your Microsoft 365 tenant and Autotask PSA instance, add an AI tool (Claude, ChatGPT, or Copilot) via MCP, and ask the same question. The AI writes the DAX queries, runs them against your real data, and produces a report like this in under fifteen minutes.

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