Data health score
What is the data health score?
The data health score (0–100) measures the completeness and quality of your customer records. A higher score means LiftSignals has more information to work with and can produce more accurate predictions.
Accessing your data health score
Go to Settings → Data → Health. Your score is shown with a breakdown by field.
What affects the score?
| Field | Impact on models | How to improve |
|---|---|---|
| Email address | High — required for customer identification | Usually already high from Shopify |
| Last order date | High — primary recency signal | Usually high from store connection |
| First order date | Medium — affects CLV and cohort models | Re-import with first_order_date column |
| Phone number | Medium — needed for SMS exports | Collect at checkout; import via CSV |
| Product categories | Medium — powers propensity and affinity models | Ensure products are categorised in your store |
| Order count | High — frequency signal for RFM and churn | Usually high from store connection |
Health score thresholds
- 85–100 (Excellent) — All models perform at full accuracy
- 70–84 (Good) — Most models work well; minor gaps in some predictions
- 55–69 (Fair) — Some model accuracy degradation, especially CLV and propensity
- Below 55 (Poor) — Significant data gaps; scores should be treated as directional only
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