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integration pair · campaign optimization

Campaign Optimization: Google Search Console + GitHub

Which campaigns should you scale and which should you kill?

Google Search Console · LIVE + GitHub · LIVE Strategy Module · Campaign Optimization
Connect Now → How it works

The problem

You're optimizing each campaign inside its own platform. But campaigns don't work in isolation. A Meta campaign might look bad on its own but drive 40% of your Google conversions. You can't see that from inside Meta.

Google Search Console tracks search queries and impressions, click-through rates by query, average position by keyword. 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 Search Console and GitHub into one data lake. With both data sets unified, it can optimize campaigns using data from every connected tool. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.

Scale, pause, or fix. Each recommendation backed by cross-platform revenue data. AI recommends, your team decides.

What feeds campaign optimization

FROM GOOGLE SEARCH CONSOLE
→ Search queries and impressions
→ Click-through rates by query
→ Average position by keyword
→ Page-level performance
→ Core Web Vitals
→ Index coverage
→ Mobile usability
→ Crawl statistics
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 how organic search fits into paths that end in purchases

02

Catches ranking drops, CTR declines, and indexing issues quickly

03

Correlates deployment timing with changes in customer behavior

Before and after

CapabilityWithout askotterWith askotter
Campaign OptimizationManual, 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

Campaign Optimization in action

🔒 app.askotter.ai/insights/campaign-optimization
CAMPAIGN OPTIMIZATION
RAW DATA
HISTORY
Which campaigns should you scale and which should you kill?
Analysis complete. Using data from Google Search Console and GitHub:
Scale, pause, or fix. Each recommendation backed by cross-platform revenue data. AI recommends, your team decides.
Google Search Console GitHub Strategy
google search console · sync statusCONNECTED
STATUS
● Synced
DATA POINTS
8
LAST SYNC
2m ago
LIVESearch queries and impressionssynced
LIVEClick-through rates by querysynced
LIVEAverage position by keywordsynced
LIVEPage-level performancesynced

Ask your data lake anything. Save what matters.

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Connect Google Search Console + GitHub. Five minutes.

Connect or import, intelligence out. AI recommends, you decide. No engineering needed.

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the shift

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The data proves it pays.

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