Pet Age, Species, and Geographic Factors New MGAs Must Incorporate Into Pet Insurance Rating Models
Four Variables That Determine Whether Your Pet Insurance Pricing Wins or Loses in Every Market
Unlike commercial lines where hundreds of variables factor into pricing, pet insurance rating stands on a smaller set of powerful predictors. Mastering how pet age species geographic factors MGA pet insurance rating models incorporate determines whether your premiums attract profitable customers or invite adverse selection. For new MGAs entering the US market, understanding the actuarial weight each factor carries and incorporating those factors correctly into the rating structure is the difference between a sustainable program and one that bleeds margin from its first renewal cycle.
For new MGAs entering the US market, understanding how each factor influences claims cost and incorporating those factors correctly into the rating structure is essential for building a sustainable program. This guide provides a detailed framework for developing rating models that balance actuarial accuracy with market competitiveness.
Why Are Age, Species, and Geography the Most Critical Rating Factors in Pet Insurance?
Age, species, and geography are the most critical rating factors because they collectively explain the majority of variation in pet insurance claims frequency and severity, making them the strongest predictors of expected loss cost for any individual policy.
While other factors such as deductible selection and reimbursement percentage affect premium levels, the underlying risk is driven primarily by biological and economic variables. A 10-year-old Labrador Retriever in Manhattan will have fundamentally different expected claims than a 2-year-old domestic shorthair cat in rural Oklahoma. The rating model must capture these differences accurately.
1. Age as the Dominant Risk Variable
Pet age is the single most predictive rating factor. Veterinary utilization increases with age for both dogs and cats, with a pronounced acceleration after age seven for dogs and age ten for cats. This age-cost curve is driven by increasing incidence of chronic conditions, cancer, orthopedic issues, and organ disease.
| Age Factor | Dogs (Relative to Base) | Cats (Relative to Base) |
|---|---|---|
| Under 1 year | 0.8x to 1.0x | 0.7x to 0.9x |
| 1 to 3 years | 1.0x (base) | 1.0x (base) |
| 4 to 6 years | 1.2x to 1.5x | 1.1x to 1.3x |
| 7 to 9 years | 1.8x to 2.5x | 1.4x to 1.8x |
| 10 to 12 years | 2.5x to 3.5x | 1.8x to 2.5x |
| 13+ years | 3.5x to 4.5x | 2.5x to 3.5x |
2. Species-Level Differences
Dogs and cats exhibit structurally different risk profiles. Dogs have higher average claim costs, greater breed-specific variation, and more orthopedic claims. Cats have lower claim frequency overall but higher claims related to urinary tract issues, kidney disease, and hyperthyroidism. Maintaining separate rate tables for each species is standard practice.
3. Geographic Cost Variation
Veterinary care costs vary significantly by geography. Urban areas with access to specialty veterinary hospitals and board-certified specialists have higher average claim costs than rural areas. State-level differences in veterinary licensing requirements and practice costs also contribute to geographic variation.
MGAs that test underwriting rules against historical veterinary claims data will see these three factors emerge consistently as the strongest predictors of loss cost.
How Should New MGAs Build Age-Based Rating Factors?
New MGAs should build age-based rating factors by analyzing historical claims data to quantify the relationship between pet age at time of claim and expected loss cost, then constructing an age curve that reflects the accelerating cost pattern while remaining competitive at each age bracket.
The age curve is the backbone of the rating model. Getting it right requires balancing actuarial precision with market reality.
1. Constructing the Age-Cost Curve
The age-cost curve should be built using historical claims data that includes:
- Incurred claims by pet age at time of claim
- Earned premium by pet age at time of exposure
- Number of claims (frequency) and average claim size (severity) by age
- Separate curves for dogs and cats
The resulting curve typically shows a gradual increase through the middle years and a steep acceleration in the senior years. MGAs should smooth the curve to avoid abrupt premium jumps between consecutive ages.
2. Age at Enrollment Versus Age at Renewal
A critical decision is whether to rate based on age at enrollment or current age at renewal. Most pet insurance programs use current age, meaning premiums increase at each renewal as the pet ages. This approach more accurately reflects the increasing risk but requires clear communication to policyholders about expected premium increases.
| Rating Approach | Pros | Cons |
|---|---|---|
| Current age rating | Premiums match current risk level | Annual increases may cause churn |
| Issue age rating | Premiums stay level for life of policy | Requires higher initial premiums |
| Blended approach | Moderate initial premium, gradual increases | More complex to administer |
3. Maximum Enrollment Age and Renewal Age Limits
Historical data should inform decisions about maximum enrollment age and whether to cap renewals at a certain age. Key considerations include:
- Claims data for pets enrolled at older ages shows significantly higher first-year loss ratios
- Some MGAs set maximum enrollment at age 10 or 12 for dogs and 12 or 14 for cats
- Renewal age limits are less common but may be necessary for breeds with very high senior claims costs
- State regulators may scrutinize age limits as potentially discriminatory, so actuarial justification is essential
4. Puppy and Kitten Pricing
Very young pets present a unique pricing challenge. While they have lower chronic disease risk, they have higher accident risk and may present congenital conditions early. The rating model should account for this by setting first-year premiums slightly below the base rate but not so low that the MGA attracts disproportionate adverse selection from owners who suspect early health issues.
Build age-based pricing that is both accurate and competitive.
Visit Insurnest to learn how we help MGAs launch and scale pet insurance programs.
How Should MGAs Incorporate Species and Breed Into Rating Models?
MGAs should incorporate species as a primary rating variable with separate base rates for dogs and cats, then layer breed or breed-group factors as secondary variables that adjust the species base rate based on breed-specific claims patterns.
Species and breed together capture the biological risk profile of the insured pet. The challenge for new MGAs is building breed-level granularity without overcomplicating the model or creating rates that cannot be supported by available data.
1. Species-Level Base Rates
Dogs and cats should have entirely separate base rate structures. Key differences that drive separate pricing include:
| Characteristic | Dogs | Cats |
|---|---|---|
| Average annual claim cost | Higher | Lower |
| Claims frequency | Higher | Lower |
| Breed-specific variation | Very high | Moderate |
| Common costly conditions | Orthopedic, cancer, allergies | Urinary, kidney, hyperthyroidism |
| Age curve steepness | Steeper after age 7 | Gradual until age 10, then steeper |
2. Breed-Group Rating Factors
Rather than rating every individual breed separately, which would require vast data and complex rate filings, new MGAs should use breed groups. Breed groups cluster breeds with similar risk profiles based on historical claims experience.
| Breed Group | Example Breeds (Dogs) | Relative Risk Factor |
|---|---|---|
| Group 1: Low risk | Mixed breed (small), Chihuahua, Beagle | 0.8x to 1.0x |
| Group 2: Average risk | Labrador Retriever, Golden Retriever, Cocker Spaniel | 1.0x to 1.2x |
| Group 3: Moderate risk | German Shepherd, Boxer, Rottweiler | 1.2x to 1.5x |
| Group 4: High risk | French Bulldog, English Bulldog, Great Dane | 1.5x to 2.0x |
| Group 5: Very high risk | Bernese Mountain Dog, Cavalier King Charles Spaniel | 2.0x to 2.5x |
MGAs evaluating hereditary and congenital condition coverage decisions should align breed group assignments with hereditary condition prevalence data.
3. Mixed-Breed Rating
Mixed-breed pets represent a large portion of the insured population. Rating approaches include:
- Assigning a single mixed-breed factor based on average claims experience
- Using weight as a proxy for breed risk (larger mixed breeds rated higher)
- Asking for known breed components and assigning a blended factor
| Mixed-Breed Approach | Complexity | Accuracy | Consumer Experience |
|---|---|---|---|
| Single average factor | Low | Moderate | Simple |
| Weight-based categories | Moderate | Good | Straightforward |
| Known breed component blend | High | Best | Requires breed knowledge |
4. Exotic and Less Common Species
Some MGAs may choose to cover exotic pets such as birds, reptiles, or small mammals. These species require entirely separate rating structures and are typically not included in initial product launches due to limited claims data.
What Geographic Factors Should New MGAs Include in Rating Models?
New MGAs should include geographic factors based on state-level and zip-code-level veterinary cost indices, urban versus rural classification, and access to specialty veterinary care, applying these as multiplicative factors to the base rate.
Geographic variation in veterinary costs is substantial across the United States. Ignoring geography in the rating model leads to underpricing in high-cost areas and overpricing in low-cost areas, both of which damage program performance.
1. Veterinary Cost Variation by Region
Veterinary care costs vary based on local cost of living, concentration of specialty practices, and state regulatory environment. MGAs should develop geographic rating factors using veterinary fee survey data.
| Geographic Region | Relative Vet Cost Index | Rating Factor |
|---|---|---|
| Northeast metro (NYC, Boston) | 1.3x to 1.5x | High |
| West Coast metro (LA, SF, Seattle) | 1.2x to 1.4x | High |
| Southeast metro (Atlanta, Miami) | 1.0x to 1.2x | Moderate |
| Midwest metro (Chicago, Minneapolis) | 1.0x to 1.15x | Moderate |
| Rural areas (all regions) | 0.7x to 0.9x | Low |
| Mountain West (Denver, Phoenix) | 0.95x to 1.1x | Moderate |
2. State-Level Versus Zip-Code-Level Granularity
MGAs must decide the level of geographic granularity in their rating model.
| Granularity Level | Advantages | Disadvantages |
|---|---|---|
| State-level | Simple rate filing, easy to administer | Misses intra-state variation |
| Rating territory (groups of zip codes) | Good balance of accuracy and simplicity | Requires territory definition and justification |
| Zip-code-level | Most accurate | Complex filing, potential credibility issues |
Most new MGAs start with rating territories that group zip codes into three to five cost tiers per state. This approach provides meaningful geographic differentiation without the complexity of zip-code-level pricing.
3. Urban Versus Rural Classification
Urban areas typically have higher veterinary costs but also higher pet insurance adoption rates. Rural areas have lower costs but may have limited access to specialty care, which could affect the types of claims filed.
MGAs should consider:
- Urban policyholders may have access to emergency and specialty hospitals, leading to higher average claim severity
- Rural policyholders may rely more on general practice veterinarians, resulting in lower but more frequent claims
- Travel costs for specialty care in rural areas may be a factor in customer satisfaction
4. State Regulatory Impact on Geographic Rating
Some states have specific requirements for geographic rating factors in insurance products. MGAs must ensure that:
- Geographic factors are actuarially justified and not unfairly discriminatory
- Rate filings include documentation of the data sources used to develop geographic factors
- Changes to geographic factors are filed and approved before implementation
MGAs evaluating reinsurance arrangements and their role in carrier selection should note that reinsurers often analyze geographic concentration risk, making accurate geographic rating factors important for reinsurance negotiations as well.
Develop geographic pricing that reflects real veterinary cost differences.
Visit Insurnest to learn how we help MGAs launch and scale pet insurance programs.
How Should MGAs Combine Multiple Rating Factors Into a Final Premium?
MGAs should combine multiple rating factors using a multiplicative rating algorithm that starts with a base rate and applies age, breed, geographic, and policy selection factors as multipliers to calculate the final premium for each policyholder.
The structure of the rating algorithm determines how smoothly factors interact and whether the resulting premiums are both competitive and adequate.
1. Multiplicative Rating Structure
The standard approach multiplies the base rate by each rating factor:
Final Premium = Base Rate x Age Factor x Breed Factor x Geographic Factor x Deductible Factor x Reimbursement Factor x Coverage Limit Factor
This structure ensures that each factor operates independently and that the combined effect reflects the true risk profile. It also makes it straightforward to adjust individual factors without recalibrating the entire model.
2. Base Rate Development
The base rate represents the expected loss cost for a reference class, typically defined as:
- Species: Dog
- Age: 1 to 3 years (base age group)
- Breed: Average risk breed group
- Geography: Moderate cost area
- Policy: Standard deductible, standard reimbursement, standard coverage limit
All other rating factors express the deviation from this reference class as a multiplier. The base rate itself is calculated from historical claims data and includes provisions for loss adjustment expenses, administrative costs, and profit margin.
3. Factor Interaction Testing
Before finalizing the rating model, MGAs must test for unintended interactions between factors. For example:
- Does the combination of maximum age factor and high-risk breed factor produce premiums that exceed reasonable market limits?
- Do geographic and breed factors compound in ways that create extreme outlier premiums in certain areas?
- Are there factor combinations that produce premiums below the expected loss cost?
| Interaction to Test | Risk | Mitigation |
|---|---|---|
| High age + high breed | Premium may be unaffordable | Apply maximum premium cap |
| Low geography + young age | Premium may be below loss cost | Set minimum premium floor |
| All maximum factors combined | Extreme premium outlier | Review and cap at market ceiling |
4. Competitive Benchmarking
After building the rating model, MGAs should benchmark their premiums against competitors at key demographic and geographic combinations. This reveals where the MGA is competitively positioned and where adjustments may be needed.
What Data Sources Support Rating Factor Development for New MGAs?
New MGAs can develop rating factors using veterinary fee survey data, carrier and reinsurer claims databases, public veterinary health databases, actuarial consulting reports, and NAPHIA industry benchmarks.
Because new MGAs lack proprietary claims data, external data sources are essential for initial rating factor development.
1. Primary Data Sources
| Data Source | What It Provides | Accessibility |
|---|---|---|
| AVMA veterinary fee surveys | Regional vet cost benchmarks | Publicly available |
| Carrier partner claims data | Breed, age, and geographic loss data | Through partnership agreement |
| Reinsurer loss databases | Aggregated pet insurance claims | Through treaty negotiation |
| Banfield Pet Hospital reports | Large-scale veterinary utilization data | Publicly available annual reports |
| NAPHIA industry data | Market-level premium and claims trends | Member access |
| State veterinary boards | Practice counts and licensing data | Publicly available |
2. Supplementary Data for Geographic Factors
Geographic rating factors benefit from supplementary data sources:
- Bureau of Labor Statistics cost-of-living indices
- Census data on pet ownership by county
- Veterinary practice density by zip code
- Specialty veterinary hospital locations
3. Data Limitations and Credibility Standards
New MGAs should be transparent with carriers and regulators about data limitations. Actuarial credibility standards require sufficient volume of data at each factor level. Where data is thin, MGAs should:
- Use broader groupings (e.g., breed groups rather than individual breeds)
- Apply credibility weighting that blends sparse data with broader averages
- Document assumptions and plan for factor refinement as proprietary data accumulates
MGAs testing underwriting rules against historical veterinary claims data should use the same data sources for rating factor development, ensuring consistency between underwriting rules and pricing.
How Should MGAs Validate and File Their Rating Models?
MGAs should validate their rating models through back-testing against historical data, actuarial peer review, and carrier approval before filing with state insurance departments that require rate approval for pet insurance products.
The validation and filing process ensures that the rating model meets both actuarial standards and regulatory requirements.
1. Back-Testing Process
Back-testing applies the proposed rating model to historical claims data to project what loss ratios would have been under the new rates. Key steps include:
- Apply proposed rates to historical exposure data
- Compare projected premium to actual incurred claims
- Calculate projected loss ratio by segment (age, breed, geography)
- Identify segments where projected loss ratio is outside the target range
2. Actuarial Certification
Most states require that rate filings be supported by an actuarial certification. New MGAs should engage a credentialed actuary (FCAS or FSA) to:
- Review the rating methodology and data sources
- Certify that the rates are adequate, not excessive, and not unfairly discriminatory
- Prepare the actuarial memorandum that accompanies the rate filing
3. State Filing Requirements
| Filing Type | States That Require It | Timeline |
|---|---|---|
| Prior approval | Most states for new products | 30 to 90 days before launch |
| File and use | Some states | File at or before launch |
| Use and file | Few states | Launch first, file within 30 days |
| No filing required | Very few states | N/A |
4. Carrier Review and Approval
Before filing with the state, MGAs must obtain carrier approval of the rating model. The carrier will review:
- Adequacy of rates to cover expected losses
- Consistency with the carrier's overall underwriting appetite
- Compliance with the carrier's profit and loss targets
- Alignment with reinsurance treaty terms
Get your rating model right before you file.
Visit Insurnest to learn how we help MGAs launch and scale pet insurance programs.
How Should MGAs Update Rating Factors Over Time?
MGAs should update rating factors through an annual review process that incorporates emerging claims experience, veterinary cost inflation data, competitive market analysis, and regulatory feedback, with more frequent reviews during the first two years of operation.
Rating models are not static. As the MGA accumulates proprietary data and the market evolves, regular updates ensure that pricing remains accurate and competitive.
1. Annual Review Process
| Review Activity | Data Inputs | Outcome |
|---|---|---|
| Age factor review | Actual loss ratios by age group | Adjusted age curve |
| Breed factor review | Claims experience by breed group | Revised breed group assignments |
| Geographic factor review | Veterinary cost inflation by region | Updated geographic multipliers |
| Competitive pricing analysis | Competitor rate comparisons | Market positioning adjustments |
| Regulatory compliance check | State filing requirements | Updated filings as needed |
2. Incorporating Proprietary Claims Data
As the MGA's own claims experience grows, it should progressively shift from external data to proprietary data for rating factor development. The transition follows credibility-weighting principles:
- Year 1: 80% external data, 20% proprietary
- Year 2: 60% external, 40% proprietary
- Year 3: 40% external, 60% proprietary
- Year 5+: 20% external, 80% proprietary
3. Veterinary Cost Inflation Adjustment
Veterinary costs have historically increased faster than general inflation. MGAs should build a veterinary cost trend factor into annual rate reviews that reflects the actual rate of increase in veterinary fees, not general CPI.
4. Emerging Risk Monitoring
MGAs should monitor for emerging risks that may require mid-cycle rating adjustments:
- New veterinary treatments or technologies that change claim costs
- Breed popularity shifts that alter the book composition
- Regulatory changes that affect coverage requirements
- Geographic shifts in the insured population
Frequently Asked Questions
What are the primary rating factors in pet insurance?
The primary rating factors in pet insurance are pet age, species (dog versus cat), breed or breed group, and geographic location based on zip code or state, each reflecting different levels of expected veterinary utilization and cost.
Why does pet age have the strongest impact on pet insurance premiums?
Pet age has the strongest impact because veterinary claims frequency and severity increase significantly as pets age, with dogs over age eight and cats over age ten generating claims costs two to four times higher than younger animals.
How should MGAs handle species-based rating differences between dogs and cats?
MGAs should maintain separate rate tables for dogs and cats because dogs have higher average claim costs and frequency than cats, and the breed-specific risk variation within dogs is far greater than within cats.
What geographic factors affect pet insurance pricing?
Geographic factors include regional veterinary cost differences, urban versus rural pricing, state regulatory requirements, access to specialty veterinary care, and local pet ownership demographics.
Should new MGAs use breed-specific or breed-group rating factors?
New MGAs should start with breed-group rating factors that cluster breeds with similar risk profiles into four to six groups, which simplifies rate filings and provides sufficient granularity without requiring individual breed data that new MGAs may not have.
How do MGAs adjust rating models for mixed-breed pets?
MGAs typically assign mixed-breed pets a base rating factor that reflects average claims experience across all breeds, or use weight-based categories as a proxy for breed risk when the specific breed mix is unknown.
What is a geographic rating factor in pet insurance?
A geographic rating factor is a multiplier applied to the base premium that reflects the relative cost of veterinary care in a specific area, typically calculated at the state or zip code level using veterinary fee survey data.
How often should MGAs update their rating factors?
MGAs should review and update rating factors annually based on emerging claims experience, veterinary cost inflation data, and geographic shifts in their book of business, with more frequent reviews during the first two years of operation.
