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Reduce Wholesale Network Costs with IQMargin

Swap complex, manual processes for IQMargin: predict subscriber demand and optimize wholesale allocation for the lowest-cost outcome, automatically.

Client results

Lower wholesale cost from the first billing cycle.

For a large U.S. MVNO with 160K subscribers and $16M in annual wholesale billing, IQMargin identified and deployed a lower-cost, fully automated approach to wholesale allocation. Verified savings were produced immediately after implementation.

Deployment results
15%
Reduction in annual operating cost
$1M+

Projected annual savings

Realized through wholesale cost optimization

100%

Manual overhead eliminated

Optimization decisions fully automated

Fully

Automated in production

Continuous optimization without manual intervention

4

Weeks to deployment

From initial analysis to production

Sounds too good to be true? See it run on your own numbers. Book a demo and we'll show you.
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Managing wholesale cost

Wholesale network access is an MVNO's largest cost.

MVNOs operate on thin margins, making wholesale cost efficiency critical. How effectively that cost is managed can create a 5–20% opportunity to reduce total wholesale spend, freeing up capital for growth and customer investment.

5–20%
Potential reduction in wholesale network cost
Typical approach Current cost · 100%
Wholesale cost as run today
With IQMargin Lower cost
5–20%
Predicted & optimized
Optimization

Finding the lowest-cost outcome requires an advanced approach.

IQMargin combines subscriber-level predictions with wholesale economics to evaluate millions of possible decisions and continuously identify lower-cost outcomes.

How IQMargin decides: cost-driven wholesale allocation
Decision paths

Current operating approach

Maintain existing subscriber allocation

$36.0Kdaily cost

Rebalance subscriber allocation

Improve alignment between capacity and expected usage

$34.2Kdaily cost

Shift committed capacity

Reduce projected wholesale cost across the pool

$32.9Kdaily cost

Reallocate using forecast demand

Preserve capacity for subscribers expected to use it

✓ chosen
$31.3Kdaily cost
Decision evaluation
Demand
Forecast usage

Subscriber-level signals

Pricing
Wholesale economics

Cost of each allocation

Constraints
Pool + operating rules

Evaluated together

Selected outcome
$31.3K

Expected daily cost

Lowest-cost path

Reallocate subscribers using forecast demand

Baseline
$36.0K
per day
→
IQMargin
$31.3K
per day
13% lower modeled wholesale cost
Current approaches

Most approaches simplify the problem and that simplicity has a cost.

Even sophisticated approaches simplify the problem. With constantly changing demand and countless possible tier assignments, 5–15% of wholesale savings can remain unrealized.

ONE SUBSCRIBER · ONE BILLING CYCLE
Wholesale plan assignment over 31 days
TYPICAL APPROACH Occasional reassignment
IQMARGIN Frequent forecast-driven reassignment
D1D5D10D15 D20D25D31
Wholesale plan A Wholesale plan B Wholesale plan C
Across the subscriber base Up to 50x more subscriber moves / month
Behind the model

Broad telecom expertise is built into IQMargin.

Built by a team with hands-on experience across MVNOs, operators and wholesale economics, refined through extensive testing against real historical cycles.

Where we've operated
MVNOs Mobile Network Operators Consulting Firms
Model foundations

Built from experience, not a spec

Non-obvious predictive variables drawn from deep usage and behaviour patterns

Proven through heavy backtesting before it ever runs live

Refined in production, not a one off model

Technical depth across the full stack, from forecasting to deployment

What that adds up to

Decades of combined experience across churn, retention, wholesale cost, growth and forecasting, distilled into the proprietary knowledge and technical expertise behind IQMargin's prediction and optimization engine.

Implementation

We prove the savings before
anyone commits.

IQMargin handles the analysis, modeling and deployment. Once it's live, optimization runs automatically with minimal ongoing effort from your team.

1

Historical data

The MVNO shares past usage and its wholesale rate card.

2

Diagnostic

We identify where overage and idle allotment are leaking cost.

3

Backtest & quantify

We replay the model against real historical cycles to size the savings before any commitment.

decision point
4

Deploy & manage

Only if the savings are real. We deploy and run it continuously.

savings proven

Pricing is aligned to value created, initially a share of verified savings.

With a transition to recurring pricing once results are proven.

Configuration

IQMargin is customized to your specific business.

IQMargin is tailored to your wholesale agreement, pricing structure, subscriber behaviour and operating constraints to find the lowest-cost outcome for your business.

Fully automated so your team can focus elsewhere.

Wholesale pricing

Your rates and cost structure

Pool structure

Capacity and allocation rules

Subscriber behavior

Usage patterns across your base

Operating constraints

Rules that define feasible decisions

Your environment → Your IQMargin model
No risk to find out

See what IQMargin could save you.

Start with a no-cost diagnostic using your historical usage and wholesale cost data. We backtest the opportunity and show you the savings before you commit.