LealUp Docs
For Admins

Health model

The 6 dimensions, weights, thresholds and presets - how LealUp computes the health score.

The health score is the heart of LealUp. This page explains how it's calculated, how to tune it, and how to avoid the classic configuration mistakes.

How it's calculated

A customer's score is a 0-100 number, computed daily. The formula:

score = Σ (dimension_value × dimension_weight)

Each dimension value is 0-100 and the weights sum to 100%. If a dimension has no data (for example, you didn't connect support), its weight is automatically redistributed across the others instead of punishing the score.

Example (Balanced preset):

DimensionValueWeightContribution
Engagement6525%16.3
Adoption7218%13.0
Activity7017%11.9
Support8015%12.0
Billing9015%13.5
Sentiment6010%6.0
Total100%72.7

Default ranges

RangeStateColor
70-100Healthygreen
40-69Warningyellow
0-39At riskred

Thresholds (40 and 70 by default) are adjusted in Settings → Health.

The 6 dimensions

Engagement

Measures the customer's interaction with your CS team: two-way emails, meetings, response to outreach.

Data source: Gmail and Google Calendar (via integrations).

Adoption

Measures breadth of product usage: how many distinct features the customer uses and how that evolves.

Data source: event ingestion via API (POST /v1/ingest/events) or connectors.

Activity

Measures frequency and recency of customer activity: how often there are signs of life (events, interactions) and how long since the last one.

Data source: event ingestion + timeline.

Support

Measures support load and resolution: ticket volume, severity, times.

Data source: Zendesk or Jira (via integrations).

Billing

Measures the customer's payment health: invoices on time versus overdue.

Data source: LealUp's invoices module (invoice import or integration).

Sentiment

Measures the customer's emotional tone: sentiment analysis over synced communications plus surveys (NPS/CSAT) if you capture them.

Data source: synced emails and WhatsApp + surveys (optional).

The 4 presets

Pick one during onboarding (or change it anytime in Settings → Health):

Balanced

Default. Fits most B2B SaaS.

Engagement 25%, Adoption 18%, Activity 17%, Support 15%, Billing 15%, Sentiment 10%

Usage Heavy

For products where usage = value (data tools, analytics, APIs).

Adoption 37%, Activity 22%, Billing 13%, Support 10%, Sentiment 10%, Engagement 8%

Engagement First

For service products, consulting, high human touch.

Engagement 35%, Activity 17%, Adoption 13%, Billing 13%, Sentiment 12%, Support 10%

Support Critical

For products where support quality defines retention (infrastructure, dev platforms).

Support 30%, Billing 18%, Activity 14%, Engagement 13%, Adoption 13%, Sentiment 12%

Customize the model

Settings → Health

You can:

  • Pick a preset as a starting point.
  • Adjust the weights of the 6 dimensions (must sum to 100%). If a dimension doesn't apply to your business, lower its weight: with no data it also redistributes automatically.
  • Adjust the thresholds for healthy and at risk.

Common mistakes

"All my customers are red"

Typical causes:

  1. No active usage ingestion and the adoption/activity dimensions score low. Fix: connect ingestion or lower their weights.
  2. Aggressive thresholds — "healthy ≥85" is too strict. The default is 70.
  3. Support weight too high with low volume — with 3 tickets per customer, the dimension saturates fast.

"No customer is ever red"

Causes:

  1. Without integrations, almost everything is N/A — the score is dominated by few signals.
  2. Loose thresholds — "at risk <20" is almost never reached. The default is 40.
  3. Unbalanced weights — if Sentiment weighs a lot and there are never negative signals, the score stays high.

"The score jumps a lot day to day"

Causes:

  1. High-variance dimensions — usage can drop one day and rise the next.
  2. Few signals — with little data, each event moves the average a lot. Connecting more sources stabilizes the score.

Audit a customer's score

In Customer 360 → health panel → score detail:

  • See each dimension's contribution to the final number.
  • Which data sources were used and which had no data.
  • The last time it was computed.

Useful to understand "why does this customer have 42?" before acting.

Health alerts

Health alerts are configured as playbooks with a health trigger: create a playbook whose trigger is the health score (for example, "score crosses the risk threshold") and define the actions (task for the owner, notification). See Playbooks.

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