Multi-homing / multi-tenanting
Predicts pricing power and switching costs.
- Formula
- % of users also active on competing platforms
- Unit
- %
- Models
- Marketplace
No public benchmark exists for this metric yet. This is where Omega Point's proprietary data will fill in.
What it is
Multi-homing / multi-tenanting measures the share of your users who are also active on competing platforms simultaneously. Formula: % of users also active on competing platforms, typically assessed via survey or third-party panel data.
How to calculate it
This metric is almost always measured via user survey: ask a representative sample of active users whether they use one or more named competitor platforms for the same use case, and how frequently. Third-party data providers (panel-based app intelligence, consumer survey firms) can supplement this with behavioral estimates. Because it requires self-report or external data, it cannot be computed directly from your own event logs. Define the competitive set clearly before measuring.
Why it matters
Multi-homing rate is a direct proxy for switching costs and pricing power. Users who only use your platform cannot easily take their business elsewhere; users who are simultaneously active on two or three competitors can play platforms against each other on price, selection, or incentives. A falling multi-homing rate over time suggests the platform is becoming stickier — through superior supply depth, better trust signals, or network effects that reward exclusivity. A high and stable rate is a warning sign for long-term defensibility.
How to read it
There is no published benchmark for multi-homing rate. The metric is based on survey or self-report data, which varies by methodology, competitive set definition, and how the question is framed. No credible cross-marketplace aggregate has been published, and the concept is sufficiently context-specific (the relevant competitors differ entirely by category) that a general band would not be meaningful.
Because no defensible estimate can be offered here, the right approach is to track your own trend: run the same survey question at consistent intervals (quarterly or semi-annually) with the same competitive set, and watch whether the multi-homing share is rising or falling. Segment the result by user tenure — new users typically multi-home more than long-tenured ones, so a rising tenure mix alone can move the aggregate figure.