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/// integration pair · root cause analysis

Root Cause Analysis: LinkedIn Ads + GitHub

Why did this metric change?

LinkedIn Ads · COMING SOON + GitHub · LIVE Investigation Module · Root Cause Analysis
Book a Conversation → How It Works →

The problem

Conversions dropped 23%. Everyone has a theory. Was it the ad creative? The landing page? A pricing change? Without cross-platform data, you're just guessing.

LinkedIn Ads tracks campaign performance, audience demographics, lead gen form data. 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 LinkedIn Ads and GitHub into one data lake. With both data sets unified, it can test hypotheses against data from every tool and isolate the real cause. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.

A ranked list of causes with confidence scores. Not theories. Evidence.

What feeds root cause analysis

FROM LINKEDIN ADS
→ Campaign performance
→ Audience demographics
→ Lead gen form data
→ Sponsored content metrics
→ InMail performance
→ Account targeting
→ Conversion tracking
→ Company engagement
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

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 LinkedIn's role in B2B buying journeys

02

Catches CPL spikes, quality drops, budget anomalies

03

Correlates deployment timing with changes in customer behavior

Before and after

CapabilityWithout askotterWith askotter
Root Cause AnalysisManual, 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

Root Cause Analysis in action

🔒 app.askotter.ai/insights/
ROOT CAUSE ANALYSIS
RAW DATA
HISTORY
Why did this metric change?
Analysis complete. Using data from LinkedIn Ads and GitHub:
A ranked list of causes with confidence scores. Not theories. Evidence.
LinkedIn Ads GitHub Investigation
linkedin ads · sync statusCOMING SOON
Coming soon. Talk to us to learn more.
8 data points planned

Ask your data lake anything. Save what matters.

askotter chat

LinkedIn Ads + GitHub | Coming Soon

This integration is coming soon. Talk to us about your timeline.

Book a Conversation →