Account risk

Kernel's risk methodology lets you execute sweeping, automatic changes across your CRM without disrupting business operations

Risk scores & tiers

Every account is assigned a risk score and a corresponding risk tier, allowing you to safely mass-clean your CRM without risking disruptions.

The tiers are defined as follows:

• Very low risk: Safe to take mass actions

• Low risk: Likely safe to take mass actions

• Medium risk: Review case-by-case

• High risk: Review or exclude

Kernel assigns each account a risk score from 0-100. Default thresholds, which can be customized with your Solutions Engineer, are used to sort scores into risk tiers.

Risk methodology

Kernel applies a two-step process to produce the risk score.

1. Hard factors

2. Risk scoring

Hard factors

Hard factor rules always take precedence over risk scores. Accounts matching any hard rule will automatically be assigned a risk score of 100 and be shielded from destructive actions.

Examples include:

• Accounts with open opportunities

• Accounts where the Type is Customer

• Accounts with associated ARR

Kernel allows you to use standard or custom fields in the Account object to specify your hard factors.

Risk scoring

Risk scoring allows you to shield accounts that show recent activity or have historically relevant context. Kernel provides an optimized algorithm out of the box, which can be fully configured by the user.

The standard input factors Kernel recommends are:

• Recent Activity (LastActivityDate)

• Record Age (CreatedDate)

• Associated opportunities (open and closed)

• Associated tasks (number of tasks in the last 3 years)

• Associated contacts

• Owner type (see Active users)

• Core Fields filled (number of standard fields in Salesforce that have been populated)

Each factor is weighted in terms of its importance, from Very low to Very high.

Similar to the hard factors, this scoring logic can be modified. The modification can happen in two ways:

1. Adjusting the weights of Kernel's existing scoring approach

2. Adding additional custom fields with custom weights to the scoring logic

This score is also used as a factor in merging priorities - accounts with higher scores are more likely to survive merges.

How account risk is used

Risk tiers allow for a phased approach to data cleaning by letting you begin with "low-hanging fruit" (accounts with minimal operational risk) before addressing more critical segments. This strategy isolates the highest-risk accounts, which we recommend for manual review or exclusion. These accounts typically represent less than 1% of your total CRM, ensuring that the vast majority of cleaning can be handled efficiently.