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/// integration pair · anomaly detection

Anomaly Detection: Meta Ads + Google Analytics

How fast do you find out when something breaks?

Meta Ads · LIVE + Google Analytics · LIVE Detection Module · Anomaly Detection
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The problem

Something shifted last Tuesday. Nobody noticed until Friday's report. By then you'd already lost five days of revenue. The data was there. Nobody was watching.

Meta Ads tracks campaign and ad set performance, creative performance, audience targeting data. Google Analytics tracks sessions and pageviews, user demographics and geography, traffic source and medium. Neither sees the other. That blind spot costs you money every day.

How askotter fixes this

askotter pulls Meta Ads and Google Analytics into one data lake. With both data sets unified, it can catch metric changes in minutes, not days. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.

Alerts within minutes. With context: what changed, how severe, and what to check first. Self-healing agents adjust thresholds and re-route alerts as your patterns shift.

What feeds anomaly detection

FROM META ADS
→ Campaign and ad set performance
→ Creative performance
→ Audience targeting data
→ Spend and CPM/CPC data
→ Conversions (Meta-reported)
→ Reach and frequency
→ Video view metrics
→ Lead form submissions
FROM GOOGLE ANALYTICS
→ Sessions and pageviews
→ User demographics and geography
→ Traffic source and medium
→ Conversion events
→ Engagement metrics
→ E-commerce tracking
→ Custom events
→ Audience segments

What happens when they're connected

Separately, each tool answers its own questions. Together in one lake, askotter can answer the questions that matter: the ones that span both. Train these agents like your best employee and they become tireless assistants that scale your team's knowledge to everyone.

01

Shows Meta's real role in the journey (usually top-of-funnel, not last-click)

02

Catches spend anomalies, CPM spikes, performance drops early

03

Builds cross-platform customer paths using GA4 session data

Before and after

CapabilityWithout askotterWith askotter
Anomaly DetectionManual, delayedAutomatic, real-time
Cross-platform dataCopy-paste between tabsOne data lake
Change detectionWeekly reportMinutes
Next stepsFigure it out yourselfRanked actions, human-approved
QueryingSQL or export to CSVAsk in plain English
Team knowledgeTribal knowledge, lost in SlackSaved notes, shared across teams
/// inside the platform

Anomaly Detection in action

🔒 app.askotter.ai/insights/
ANOMALY DETECTION
RAW DATA
HISTORY
How fast do you find out when something breaks?
Analysis complete. Using data from Meta Ads and Google Analytics:
Alerts within minutes. With context: what changed, how severe, and what to check first. Self-healing agents adjust thresholds and re-route alerts as your patterns shift.
Meta Ads Google Analytics Detection
meta ads · sync statusCONNECTED
STATUS
● Synced
DATA POINTS
8
LAST SYNC
2m ago
LIVECampaign and ad set performancesynced
LIVECreative performancesynced
LIVEAudience targeting datasynced
LIVESpend and CPM/CPC datasynced

Ask your data lake anything. Save what matters.

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Connect Meta Ads + Google Analytics. Five minutes.

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