Turning TEM Benchmark Data into Better Sales Conversations

Most Technology Expense Management providers already have a valuable sales asset sitting inside their business: their own data.

Across multiple clients, carriers and billing periods, TEM platforms accumulate information on spend, service counts, average cost per service, carrier mix and cost trends. Individually, each client dataset is useful. Combined and standardized, those datasets can become something much more powerful—a benchmarking engine that helps sales teams identify where to start a conversation.

The goal is not to prove savings before an audit has even begun.

The goal is to answer a simpler question:

Where does the data suggest that a deeper conversation is worth having?

Start With a Cross-Client Benchmark

The first layer is an internal benchmark dataset built across multiple clients.

At its simplest, a TEM provider can standardize a few readily available measures:

• Carrier

• Client

• Invoice month

• Number of active services

• Total spend

• Average cost per service

• Currency-normalized spend where necessary

Once enough observations are collected, the provider can calculate benchmarks such as:

• Weighted average cost per service

• Median cost per service

• 25th and 75th percentiles

• Number of clients represented

• Number of months represented

• Distribution of client costs within each carrier

This does not require a full optimization analysis.

It uses information that many TEM providers already have.

That distinction matters because benchmark analysis can happen before the more labor-intensive work of reviewing plans, contracts, usage, device financing, roaming and detailed invoice charges.

Turn the Benchmark Into a Prospect-Specific View

The second layer is where benchmarking becomes useful to sales.

Instead of showing a salesperson a large cross-client dataset, create a simple report comparing one prospective or existing client against the peer population.

For each major carrier, the report might show:

Client average cost per service: $45

Peer median: $30

Client percentile: 80th percentile

Difference from peer median: +50%

That does not mean the client is automatically overpaying by 50%.

There may be legitimate reasons for the difference—device costs, taxes, premium plans, international usage, service mix or other billing characteristics.

But it creates a very different conversation from:

“Would you like us to perform a telecom audit?”

The conversation can instead begin with:

“Based on the benchmark data we maintain across comparable carrier environments, your average cost per service appears to be materially higher than the peer range. We don't yet know why. Would it be useful for us to look deeper?”

That is a much more data-driven reason for the customer to continue the discussion.

Benchmarking Makes the Conversation Stickier

TEM sales conversations can easily become generic.

Every provider can talk about savings, optimization, automation and visibility.

Benchmark data introduces something specific to the customer's environment.

Instead of immediately presenting a solution, the salesperson can ask questions:

Why is this carrier running above the peer median?

Has the contract been renegotiated recently?

Are device payments included in the spend?

Is international usage unusually high?

Are there legacy or premium plans still in the population?

Does the customer even know why its cost per service is higher?

The benchmark creates curiosity.

And curiosity creates a reason to continue the conversation.

Use the Same Data to Identify Upsell Opportunities

The concept is equally useful for existing customers.

A TEM provider managing hundreds or thousands of carrier relationships across its customer base can periodically identify client-carrier combinations with unusually high average costs.

That can become an internal opportunity list for account management and sales.

For example:

Client	Carrier	Avg. Cost	Peer Median	Position
Client A	Carrier X	$48	$31	High
Client B	Carrier X	$29	$31	Competitive
Client C	Carrier Y	$67	$42	High

The first and third relationships deserve attention.

Not because the benchmark proves savings, but because the data tells the account team where to investigate first.

That can lead naturally to additional services:

• Wireless optimization

• Contract review

• Carrier negotiation

• Invoice audit

• Usage analysis

• Plan optimization

• Inventory cleanup

• Roaming analysis

Instead of asking every customer whether they would like another service, the TEM provider can prioritize customers where the data provides a credible reason to offer one.

The Data Design Matters

A useful benchmark requires more than simply averaging every invoice in the database.

The underlying dataset should be intentionally designed.

For example, very small service populations can create misleading cost-per-service calculations. Currency needs to be normalized when comparing global environments. A carrier benchmark supported by one client should not be treated the same as one supported by twenty clients.

Benchmark reports should therefore show not only the benchmark itself but also its coverage.

Sales should be able to see:

• How many clients are represented?

• How many monthly observations are available?

• How many services support the benchmark?

• How wide is the cost distribution?

• Is the prospect near the middle of the distribution or at an extreme?

This helps prevent false precision.

Benchmarking Should Lead to Analysis—not Replace It

This is probably the most important principle.

A high average cost per service is a signal, not a savings calculation.

Two organizations using the same carrier can have very different costs for perfectly legitimate reasons.

The benchmark should therefore be positioned as:

Benchmark → Question → Investigation → Opportunity

rather than:

Benchmark → Claimed Savings

Once an outlier is identified, the deeper TEM analytics can begin.

The provider can examine:

• Rate plans

• Usage

• Contract pricing

• Device financing

• International and roaming activity

• Taxes and surcharges

• One-time charges

• Service types

• Zero-use lines

• Pooling efficiency

At that point, benchmarking has done its job. It helped identify where deeper analytical effort was most likely to produce value.

The Bigger Opportunity for TEM Providers

The most valuable part of a TEM provider's data may not be another dashboard.

It may be the ability to connect information across clients and turn it into a repeatable commercial process.

A well-designed benchmark system can help answer:

Which customers should we talk to?

Which carrier should we discuss first?

Where does the data suggest something unusual?

Which additional analysis should we offer?

That changes benchmarking from a reporting function into a sales-enablement capability.

And for TEM providers with years of client and carrier data already available, much of the raw material to build that capability may already exist.

The real opportunity is designing the data so the sales organization can use it.