Title: Retention: A New Focus
1Retention A New Focus
- Lee Bowron
- CAS Ratemaking Seminar
- March 7 8, 2002
- Tampa, FL
2Retention Defining the Problem
- Retention Data is Not Publicly Available
- Retention is Not Always a Rating Variable
- Several Definitions of Retention, including
- Ratio Method (Percent of Policies-in-Force /
Original Policies-in-Force) - Expected Policy Life
3Retention A Simple Example
- Acme Auto Insurance Company writes 2,000 New
Business and 8,000 Renewal Polices a Year - Currently, Acme renews 80 of their policies and
policies-in-force are steady - Management wants to increase PIF to 10,500 this
year - This will require a 25 increase in new business
(2,500) or a 6.25 increase in renewals (8,500)
4Impact of Retention on Calendar Year Results
5Same Example but 50 additional Renewals
6Same Example but 50 additional New Business
7Factors Impacting Retention
- Retention can differ based on many factors,
including - Product Type
- Rating Variable
- Customer Demographics
- Competitive Considerations
- Softness of Market
8The Real World Policyholder Personalities
- Auto Insurance is sold to a wide demographic
market - Short-term defectors
- Buy to renew a tag
- Low priority of continuous insurance
- High propensity to price insurance
- Have more violations or accidents, which causes
large price swings - They are transient
9The Real World Policyholder Personalities
- Loyal Policyholders
- Personal relationship with agent
- Not likely to shop due to price increase
- Low cost of auto insurance in relation to budget
- Multiple products with the same company or agency
- Long-term residents of community
10The Real World Policyholder Personalities
- In-Betweeners
- In the middle ground between the categories above
- Each category requires its own retention
strategy, both operational and pricing.
11Operational Strategies to Improve Retention
- Retention issues may be better addressed through
operational changes than pricing strategies.
Such strategies include - Improved Service
- Clearer Correspondence
- Payment Options
12Pricing Strategies - Renewal Discounts
- Most companies do not give the full indicated
discount - If companies gave the indicated discount, there
would be no difference in loss ratios between new
and renewal business - In order to maximize profitability, any discount
should pay for itself to be justified.
13Renewal Discount Strategies
14A New Product
- It is very important that you know the retention
characteristics of a new product that you
introduce. - Retention characteristics will impact calendar
year results until the product matures.
15Preferred Auto Product Loss Ratios by Number of
Renewals
16Accident Year Results for New Preferred Auto
Product
17Retention is Important!
- Retention issues are important in operational and
pricing decisions. - Successful firms make retention considerations a
part of both existing and new market strategies.
18(No Transcript)
19Modeling Retention Effective Rate Impact
- Rob Walling
- CAS Ratemaking Seminar
- March 8 9, 2002
- Tampa, FL
20Objectives
- Characteristics of Retention
- Approach to Modeling Retention
- Effective Rate Impact (ERI)
- A Stochastic Approach to ERI
- Extensions and Considerations
21What Characteristics Should a Retention Model
Have?
- Has Flexible Shape
- Simplified Parameterization
- Creates Actuarially Intuitive Scenarios
- Decreasing Incremental Changes for larger rate
actions - Asymptotic Behaviors at Extremes
- Allows Different Retention Behavior for Different
Rating Characteristics
22The Flexible Shape of the Retention Demand Curve
Renewal Rate (R)
23Retention Behavior Depends on Characteristics
Like
- Change in Pricing on Renewal
- Competitive Positioning
- Market Conditions (Inflation, U/W Cycle, etc.)
- Customer Rating Characteristics
- Age
- Territory
- Policy Size
- Years on Risk
24Modeling Retention
- Premium Retention can be modeled as
- where
- P1 Proposed Rate Level
- P0 Current Rate Level
- PM Market Level
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25Modeling Retention - Example
- Premium Retention using
- where
- P1 110 a .3
- P0 100 b 2 r 69.5
- PM 100 g 2
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26Modeling Retention - Graphically
27Retention Analysis Goal
- Based on the characteristics of a particular
current policyholder, how likely is it that the
policyholder will renew with me?
28Factors to Consider in a Retention Analysis
- Change Over Last Years Premium
- Market Competitiveness
- Traditional Rating Factors
- Age of Youngest Additional Driver
- Satisfaction with Agent/Service
- Number of Years Insured
- Etc.
29Retention Modeling Database
30Multivariate Analysis Determines Renewal
Probability
31Modeling Rate Competitiveness
- Competitive Analysis Tools
- Average Income Analysis to Market Company(ies)
- Competitive Analysis Batch Rater
- Comparison to Benchmark Rates/Loss Costs
- Historical Variances off of Benchmarks
- Empirical Data from Quotes
- Qualitative Information from Marketing/Agents
32Rate Impacts The Current Problem
- Whats the impact on loss ratio of a 25 rate
increase? - Ignoring inflation momentarily.
- If Current Loss Ratio Loss/Premium
- Proposed Loss Ratio Loss/(Premium1.25)
-
Loss/Premium(1/1.25) -
Loss/Premium80 - 80 of
Current Loss Ratio - The only answer is a 20 reduction in the Loss
Ratio!
33Editorial Comment
34The Absurdity (If a little is good)
- Whats the impact on loss ratio of a 200 rate
increase? - Ignoring inflation momentarily.
- If Current Loss Ratio Loss/Premium
- Proposed Loss Ratio Loss/(Premium3)
-
Loss/Premium(1/3) -
Loss/Premium33.3 - 33 of
Current Loss Ratio
35Problems with the Current Pricing World
- Current actuarial assumptions presuppose a static
book of business. - This assumption does not respond to the impact of
shifts in mix of business - Maturity/Seasoning (New Business Penalty)
- Class
- Territory
- Caused by
- Retention/Conversion Differences
- Policyholder Response Differences
- Agent Satisfaction
- Changes in Growth Strategies
- Competition
36Effective Rate Impact
- For actuarial purposes, the effective rate impact
is - the inverse of the percent change in expected
loss ratios created by the proposed rate change. - ERI ELoss Ratio without rate change -
1.00 - ELoss Ratio reflecting rate change
37Effective Rate Impact - Example
- Suppose current trended expected loss ratio is
60 and a proposed class plan is expected to
result in a loss ratio of 54 - ERI 0.60 - 1.00 10
- 0.54
38Effective Rate Impact
- Assume
- Expected Number of Quotes
- Expected Loss Ratio prior to change
- Use rate level indications
- Use assumptions underlying loss model
- Simulate using same assumptions
- Model Current Conversion/Retention Parameters
- Model Current Loss Parameters
- Frequency Severity or Loss Ratio
- New vs. Renewal
- Some Class Plan Detail is Preferable
39Effective Rate Impact
- Model/Select Proposed Rating Plan Factors
- May come from Loss Model
- May be state mandated approach (CA Sequential)
- May be rate bureau or competitive benchmarks
- Simulate Number of Policies Retained/Converted
- Calculate Premiums (Policies x Rate Levels)
- Simulate Losses
- Calculate Modeled Loss Ratio
- Calculate ERI
- Note This approach can be stochastic or
deterministic.
40Effective Rate Impact - Example
41Why Hasnt Retention Modeling Been Used for
Ratemaking?
- Established ratemaking techniques are path of
least resistance - Parameterization issues
- Macro view of pricing
- Micro considerations (class plan, territory,
etc.) are typically very simplified - Sensitive to many factors
- Black Box mentality
42Why Hasnt Retention Modeling Been Used for
Ratemaking?
- New business penalty impact poorly understood
- Different Growth Strategies indicate different
indicated rate changes to achieve the same
efffective rate change - Point Estimate mentality
- Have you ever tried convincing 50 different
regulators about a selection within a range of
reasonable estimates?!
43Another Way of Looking at Things
- Have you ever tried to sell your underwriters,
marketing reps and agents on a huge increase that
makes no competitive sense? - or dreaded a big decrease presented as capable
of doubling retention or hit ratios?
44LCV - Definitions
- Pr Profit P Premium
- L Losses E Expenses
- I Investment Income t time
- P(Ren) probability of renewal thru time t
- P(Con) probability of conversion thru time t
- d discount rate
- E(Prt) Pt It E(Lt) - Et
45LCV Renewal Component
- Lifetime Customer Value (t) Expected profit at
time t1, t2, etc. times the probability of
realizing that profit in year t1, t2, etc.
(retention ratio) adjusted for the time value of
money
E(Prt) E(Prt1) x P(Rent1) E(Prt2) x
P(Rent2)
------- -----------------------
----------------------- ..
(1d) (1d)2
(1d)3
46LCV New Business Component
- Lifetime Customer Value (t) Expected profit at
time t1, t2, etc. times the probability of
realizing that profit in year t1, t2, etc.
(renewal ratio) adjusted for the time value of
money adjusted for the probability of writing the
risk (conversion ratio)
)
(
E(Prt) E(Prt1) x P(Rent1) E(Prt2) x
P(Rent2)
x P(Cont)
------- -----------------------
----------------------
(1d) (1d)2
(1d)3