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Average Revenue Per User Decay Detected at Westfield Software โ€” Standwick Report 8fa_ti

Westfield Software

Generated 21 May 2026

๐ŸŸก Medium

Severity Score

41.1/100

Trend Direction

โ†˜ Worsening

โš ๏ธ Primary Risk Signal

Average Revenue Per User Decay

๐Ÿง  Root Cause Hypothesis

Average revenue per user is compressing, likely due to mix shift toward lower-tier plans or discounting pressure. This matters now because ARPU decay is a leading indicator of pricing power erosion โ€” customers are telling you, through their plan choices, that your premium tiers are not compelling enough.

Estimated monthly revenue at risk

15.0%

๐ŸŽฏ Highest Leverage Fix

Investigate what your plan mix is telling you. ARPU decay typically means customers are self-selecting into lower tiers because the premium tier's value proposition is not landing. Do not respond by adding features to the premium tier โ€” respond by making the existing premium value impossible to ignore during the upgrade decision.

โšก If Ignored

At the current rate of deterioration, severity is projected to increase from 41.1 to approximately 51 within 30 days. Estimated impact would grow from 15.0% to approximately 18.6%. Without intervention, this trajectory compounds โ€” each month of inaction makes recovery more difficult and more expensive. The longer intervention is delayed, the more structural the deterioration becomes: what is correctable today may require fundamental change in 60 days.

๐Ÿ” Signal Attribution

Risk is concentrated: Average Revenue Per User Decay accounts for 57% of total severity. Fixing this single signal would significantly reduce overall risk.

Average Revenue Per User Decay 22.3 (57.0%)
Churn Rate Increase 12.6 (32.2%)
Customer Acquisition Cost Creep 4.2 (10.7%)

๐Ÿ“ˆ Scenario Projections

If nothing changes โ€” projected severity: 51.4

At the current rate of deterioration, severity is projected to increase from 41.1 to approximately 51 within 30 days. Estimated impact would grow from 15.0% to approximately 18.6%. Without intervention, this trajectory compounds โ€” each month of inaction makes recovery more difficult and more expensive. The longer intervention is delayed, the more structural the deterioration becomes: what is correctable today may require fundamental change in 60 days.

If you act now โ€” target: 21.4

If the highest-leverage fix is implemented within 14 days, initial results are projected to appear within 28 days, with full recovery to a severity of approximately 21 within 59 days. Estimated impact would decline from 15.0% to approximately 8.3%. Note: approximately 8.2 points of severity may be structural and resistant to this single intervention โ€” additional measures may be needed for full risk resolution.

If you wait โ€” severity compounds to: 47.3

If action is delayed by 30 days, severity is projected to compound from 41.1 to approximately 47. Impact would grow from 15.0% to 17.1%. Recovery from this elevated level would take approximately 88 days โ€” 29 days longer than if action is taken now. The same intervention would only reduce severity to approximately 25, leaving more residual risk than early action would.

This is the public view of a Standwick Monitor report. Logged-in users get additional depth layers on their own analyses โ€” including sector benchmarks, time-series comparisons, cross-domain correlations, and scenario projections.

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