2021-02-15T20:31:31.899561 image/svg+xml Matplotlib v3.3.3, https://matplotlib.org/
2021-02-15T20:31:32.212966 image/svg+xml Matplotlib v3.3.3, https://matplotlib.org/
Sample Profitable Market
Sample Average Market
Sample Losing Market
Average Market Share0.153
Average Revenue253939.0
Average Losses324089.0
Average Loss Ratio1.295
Average Profit per Policy-27.0
Number of Markets1000
Average Profit-70149.15

For a description on how the tables and plots are computed, refer to this post on discourse.

Policy

Policies won year pol_no_claims_discount pol_coverage pol_duration pol_sit_duration pol_pay_freq pol_payd pol_usage
often: 34.0 - 100.0% 2.80 0.04 Max (52%) 12.70 4.85 Yearly (41%) No (95%) WorkPrivate (65%)
sometimes: 1.4 - 34.0% 2.83 0.04 Max (61%) 12.76 4.67 Yearly (37%) No (95%) WorkPrivate (66%)
rarely: 0.1 - 1.4% 2.80 0.04 Max (54%) 12.15 4.58 Yearly (37%) No (95%) WorkPrivate (68%)
never: 2.81 0.04 Max (73%) 13.05 4.42 Yearly (36%) No (97%) WorkPrivate (67%)
in sample profitable market 2.79 0.03 Max (53%) 13.05 4.90 Yearly (40%) No (96%) WorkPrivate (62%)
in sample average market 2.80 0.04 Max (45%) 12.30 4.77 Yearly (39%) No (95%) WorkPrivate (71%)
in sample losing market 2.82 0.04 Max (45%) 12.79 4.85 Yearly (38%) No (96%) WorkPrivate (66%)

Driver

Policies won drv_sex1 drv_age1 drv_age_lic1 drv_drv2 drv_sex2 drv_age2 drv_age_lic2
often: 34.0 - 100.0% M (63%) 56.56 34.33 No (71%) F (61%) 47.42 26.01
sometimes: 1.4 - 34.0% M (61%) 56.72 34.58 No (67%) F (62%) 49.11 26.80
rarely: 0.1 - 1.4% M (61%) 55.26 33.40 No (67%) F (59%) 48.75 26.56
never: M (58%) 56.41 34.22 No (64%) F (61%) 48.66 26.73
in sample profitable market M (63%) 58.54 36.01 No (72%) F (59%) 47.63 26.10
in sample average market M (62%) 54.42 32.32 No (67%) F (60%) 45.93 24.70
in sample losing market M (61%) 57.30 34.88 No (72%) F (60%) 47.15 25.59

Vehicle

Policies won vh_make_model vh_age vh_fuel vh_type vh_speed vh_value vh_weight
often: 34.0 - 100.0% rthsjeyjgdlmkygk (6%) 13.75 Diesel (52%) Tourism (85%) 163.85 15958.76 1025.64
sometimes: 1.4 - 34.0% rthsjeyjgdlmkygk (7%) 12.04 Diesel (53%) Tourism (88%) 169.67 17619.37 1088.75
rarely: 0.1 - 1.4% rthsjeyjgdlmkygk (7%) 12.17 Diesel (55%) Tourism (89%) 171.79 17939.21 1111.17
never: rthsjeyjgdlmkygk (8%) 10.05 Diesel (57%) Tourism (92%) 174.13 18408.46 1127.65
in sample profitable market rthsjeyjgdlmkygk (5%) 13.40 Diesel (53%) Tourism (85%) 163.96 16226.56 1017.02
in sample average market rthsjeyjgdlmkygk (7%) 14.99 Diesel (53%) Tourism (85%) 164.54 15478.73 1033.55
in sample losing market rthsjeyjgdlmkygk (5%) 14.58 Diesel (50%) Tourism (84%) 162.53 15554.34 1006.84

Location

Policies won population town_surface_area
often: 34.0 - 100.0% 517.26 202.31
sometimes: 1.4 - 34.0% 574.26 201.05
rarely: 0.1 - 1.4% 541.31 203.67
never: 584.12 208.43
in sample profitable market 551.90 210.19
in sample average market 503.16 196.65
in sample losing market 512.44 202.73

Financials By Conversion Rate

Policies won claim_frequency premiums conversion_rate profit per policy profit_margin
often: 34.0 - 100.0% 0.09 92.93 0.74 -24.20 0.13
sometimes: 1.4 - 34.0% 0.10 132.08 0.11 1.90 0.21
rarely: 0.1 - 1.4% 0.10 143.33 0.01 0.19 0.29
never: 0.11 220.94 0.00 0.00 0.41

Financials In Sample Markets

Policies won claim_frequency premiums conversion_rate profit revenue loss market_share profit_margin
in sample profitable market 0.09 96.16 0.77 -24171.54 248855.44 273026.98 0.15 0.13
in sample average market 0.08 83.19 0.74 -72795.62 216708.11 289503.73 0.15 0.14
in sample losing market 0.09 82.23 0.82 -106159.90 182884.12 289044.02 0.13 0.14

Financials Of Policies Lost In Sample Markets

Policies lost premiums (mean) premiums (median) premiums (std) distance to winner (mean)
in sample profitable market 123.13 120.00 68.73 56.23
in sample average market 123.33 125.62 63.69 58.44
in sample losing market 119.89 120.00 63.23 59.52