integration pair · anomaly detection

Anomaly Detection: Google Ads + GitHub

How fast do you find out when something breaks?

Google Ads · LIVE + GitHub · LIVE Detection Module · Anomaly Detection
Connect Now → How it works

The problem

Something shifted last Tuesday. Nobody noticed until Friday's report. By then you'd already lost five days of revenue, and the data to catch it had been there the whole time.

Google Ads tracks campaign performance, keyword data and quality scores, ad group and creative performance. GitHub tracks commits and pull requests, deployment events, release tags. Neither sees the other. That blind spot costs you money every day.

How askotter fixes this

askotter pulls Google Ads and GitHub into one data lake. With both data sets unified, it can catch metric changes within minutes. 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 GOOGLE ADS
→ Campaign performance
→ Keyword data and quality scores
→ Ad group and creative performance
→ Cost and CPC data
→ Conversion tracking
→ Audience targeting
→ Search term reports
→ Bid strategy data
FROM GITHUB
→ Commits and pull requests
→ Deployment events
→ Release tags
→ Repository activity
→ Issue tracking
→ Code review data
→ CI/CD pipeline status
→ Branch and merge activity

What happens when they're connected

Each tool answers its own questions. In one lake, askotter can also answer the questions 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 where Google Ads fits in the real customer journey

02

Catches CPC spikes, quality score drops, and budget waste early

03

Correlates deployment timing with changes in customer behavior

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
ANOMALY DETECTION
RAW DATA
HISTORY
How fast do you find out when something breaks?
Analysis complete. Using data from Google Ads and GitHub:
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.
Google Ads GitHub Detection
google ads · sync statusCONNECTED
STATUS
● Synced
DATA POINTS
8
LAST SYNC
2m ago
LIVECampaign performancesynced
LIVEKeyword data and quality scoressynced
LIVEAd group and creative performancesynced
LIVECost and CPC datasynced

Ask your data lake anything. Save what matters.

askotter chat

Connect Google Ads + GitHub. Five minutes.

Connect or import and the data starts flowing. Your team reviews every recommendation. No engineering needed.

Self-managed is $99/mo and scales with the compute you use. Our team runs it from $600/mo.

the shift

The shops down the street already run on AI.
The data proves it pays.

Auto shops, dental offices, cafés and salons. The local businesses winning right now compete on AI and data. askotter puts those same tools on your side, priced for a business your size.

0% of small businesses already use AI-enabled tools U.S. Chamber of Commerce, 2024
0% projected annual growth of the AI market through 2030 Grand View Research
more likely to win customers when decisions are data-driven McKinsey Global Institute
$0T AI's projected boost to the global economy by 2030 PwC

The same tools the shops down the street use, from $99/mo.