Measure producers on profit contribution
When it may fit: Premium alone drives pay.
Evidence needed: Producer-level loss and expense data.
Trade-off: Data takes time to mature.
Insurance Intelligence Brief
Premium written is how producers are usually measured. Whether the premium makes money depends on the loss ratio, the cost of acquiring it and how long it stays.
Who are our best producers: the ones who write the most, or the ones whose business earns the most?
Producers are typically ranked on premium or new business written, which rewards volume. Two producers with the same premium can bring very different results if one writes better risks, or if one’s clients stay and the other’s leave.
A fair comparison looks at the economics of each producer’s book, not only its size.
Book economics for each producer include:
The key output is underwriting or profit contribution per dollar of premium, not premium alone.
Illustrative A simple illustration shows why premium is not enough. Using the synthetic insurer’s expense ratio of 29.1% for both, $10 million of Personal Auto premium at the line’s current loss ratio of 74.3% would produce an underwriting result of about a $340,000 loss. $10 million of Specialty & Umbrella premium at 61.5% would produce a profit of about $940,000. Same premium, a swing of more than a million dollars.
Calculated The same pattern exists inside the portfolio. Personal Auto grew premium 9.0% but its contribution fell 18.7%. Specialty & Umbrella grew premium 30.0% and its contribution rose 19.0%. A producer who sold mostly the first would look strong on premium and weak on profit.
Hypothesis The best producers by volume and by profit are probably not the same people. Information gap Producer-level data are not in the demo, and the expense ratio is assumed equal for the two lines. An agency or carrier should compute loss ratio, retention and contribution by producer, then compare it with a ranking by premium, and use the difference to adjust incentives.
4. Explore the interactive experience
Insurance Portfolio Explorer: a portfolio dashboard with loss, expense and combined ratios, a scenario simulator for rate, volume, frequency and severity, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic insurer, “Demo Mutual Insurance.” It uses no policyholder, producer or agency data of any kind, so it is used to show the portfolio economics that agency and brokerage decisions connect to. Every figure is illustrative.
Better producer measurement leads to better incentives.
Two Pillars can help carriers, agencies and brokerages investigate portfolio, claims operations, agency economics and process improvement using your own data. This demo uses no policyholder data. A good first step is a producer economics scorecard that adds loss ratio and retention to premium.