Use case · Anomaly Detection

See margin, spend, and pipeline anomalies — the day they happen.

Waiting for month-end close to spot a 40% drop in margin means six weeks of lost profit. Fairview compares every metric to its baseline and flags anomalies as they appear — with named causes and suggested actions.

24 hrs

time to first anomaly flag

5

anomaly categories tracked daily

0

manual thresholds to configure

How it works

From stack to decision in minutes, not months.

Step 01

Connect your stack

OAuth to CRM, billing, e-com, accounting, and ads. 10 minutes.

Step 02

Baseline learned automatically

Fairview learns your normal in the first 7 days — no manual threshold setting.

Step 03

Daily anomaly scan

Every metric compared against its rolling baseline. Deviations above threshold are flagged.

Step 04

Named cause + action

Each anomaly gets a plain-English cause and a recommended action.

Outcomes operators see

What this looks like in real operating life.

Example: Margin collapse

SKU-A margin dropped 22% → 6% over 4 days. Likely cause: new supplier cost. Action: re-price SKU.

Example: Pipeline stall

Stage 4 velocity halved over 10 days. Likely cause: end-of-quarter slowdown. Action: follow-up sequence on stalled deals.

Example: Spend anomaly

Meta "Retargeting-B" ROAS dropped below 1.0x for 3 days. Action: pause and review creative.

Connects to

Native integrations for this use case.

CRM

  • HubSpot
  • Salesforce
  • Pipedrive

Revenue

  • Stripe
  • Shopify

Advertising

  • Google Ads
  • Meta Ads

Accounting

  • QuickBooks
  • Xero
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Fairview product pieces behind this use case.

Questions operators ask

FAQ

Specific to Anomaly Detection.

How does Fairview learn my baseline?

Fairview observes your metrics for 7 days to establish normal ranges, then flags deviations beyond statistical thresholds.

How sensitive is anomaly detection?

Tuned to flag material deviations — not noise. Threshold adjustable on Growth and Scale plans.

Do I need to configure thresholds?

No. Fairview's anomaly detection is zero-config. Every metric gets a learned baseline automatically.

What if the metric is new?

New metrics need 7 days of data before anomalies can be flagged reliably. Historical import can shortcut this.

What does it cost?

Starts at $149/mo. 14-day free trial, no credit card.

Stop reporting. Start deciding.

10 minutes to connect. Anomaly Detection live by the end of the meeting.