Analytics & Reports

Catch the problem while it's still a blip

AI anomaly detection watches every revenue and CRM metric around the clock, flagging unusual spikes and drops the day they start instead of the day you miss quota.

24/7
Monitoring
9days
Earlier warning
Anomaly Detection — Leadify Analytics & Reports
24/7
Monitoring
every metric, every hour
9days
Earlier warning
typical vs. monthly review
30+
Signals watched
per team, out of the box
0
Thresholds to set
the model learns normal

How it works

A drop in demo bookings or a quiet spike in refunds rarely announces itself. By the time it shows up in a monthly review, the quarter is already bent. Leadify learns what normal looks like for each of your metrics and pings you the moment reality departs from it, on the same data your CRM already holds.

Learns your normal

The model builds a baseline per metric, accounting for seasonality, day-of-week and trend, so alerts mean something.

  • No manual thresholds to guess or maintain
  • Understands weekend, month-end and campaign patterns
  • Adapts as your business grows and shifts
  • Confidence bands shown right on the chart

Alerts where you work

Get a clear, ranked notification the moment a metric breaks pattern, not a wall of noise.

  • Delivered to email, Slack or the in-app feed
  • Ranked by size and revenue impact
  • One click into the records driving the change
  • Snooze or mute per metric to control volume

Explains the why

Every anomaly comes with the segment, source or rep behind it, so you can act instead of investigate.

  • Breaks the anomaly down by dimension automatically
  • Links to related metrics moving at the same time
  • Pairs with plain-English insights for context
  • History of past anomalies and how they resolved

Where teams use it

Built for real revenue work.

Pipeline slippage

A sudden dip in new opportunities created flags before it becomes an empty pipeline two months out.

Revenue leakage

An unusual rise in discounts, refunds or churn surfaces the week it starts, not at the quarterly close.

Campaign misfire

Traffic looks fine but conversions quietly collapse; the anomaly catches the gap the same day.

MF
Leadify flagged a 30% drop in trial signups on a Tuesday. Turned out a form was broken. We'd have found it at month-end otherwise.
Marcus Feldt · Head of Growth, a B2B SaaS scale-up
caught 9 days early

FAQ

Questions, answered.

How is this different from setting alert thresholds?

Fixed thresholds either scream constantly or miss the subtle stuff. Leadify learns each metric's normal behavior, including seasonality and trend, so it flags genuine anomalies and stays quiet the rest of the time.

Which metrics can it monitor?

Any metric in your CRM analytics, from opportunities created and win rate to refunds, ticket volume and campaign conversions. It watches 30+ signals out of the box and you can add your own.

Will it flood us with alerts?

No. Anomalies are ranked by size and revenue impact, and you can snooze or mute individual metrics. Most teams tune it to a handful of meaningful alerts a week.

Does it need a separate data pipeline?

No. Detection runs on your live Leadify data, so there's no export, no ETL and no lag between something happening and you hearing about it.

Stop finding problems at month-end

Let Leadify watch every metric and tell you the day something breaks pattern.