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/// integration pair · campaign optimization

Campaign Optimization: GitHub + QuickBooks

Which campaigns should you scale and which should you kill?

GitHub · LIVE + QuickBooks · COMING SOON Strategy Module · Campaign Optimization
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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.

GitHub tracks commits and pull requests, deployment events, release tags. QuickBooks tracks income and expense data, accounts receivable/payable, cash flow statements. Neither sees the other. That blind spot costs you money every day.

How askotter fixes this

askotter pulls GitHub and QuickBooks 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 GITHUB
→ Commits and pull requests
→ Deployment events
→ Release tags
→ Repository activity
→ Issue tracking
→ Code review data
→ CI/CD pipeline status
→ Branch and merge activity
FROM QUICKBOOKS
→ Income and expense data
→ Accounts receivable/payable
→ Cash flow statements
→ Profit and loss
→ Balance sheet data
→ Invoice tracking
→ Vendor payments
→ Tax categories

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

Correlates deployment timing with changes in customer behavior

02

Connects revenue anomalies to specific deployments

03

Connects revenue recognition to marketing attribution

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
RAW DATA
HISTORY
Which campaigns should you scale and which should you kill?
Analysis complete. Using data from GitHub and QuickBooks:
Scale, pause, or fix. Each recommendation backed by cross-platform revenue data. AI recommends, your team decides.
GitHub QuickBooks Strategy
github · sync statusCONNECTED
STATUS
● Synced
DATA POINTS
8
LAST SYNC
2m ago
LIVECommits and pull requestssynced
LIVEDeployment eventssynced
LIVERelease tagssynced
LIVERepository activitysynced

Ask your data lake anything. Save what matters.

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GitHub + QuickBooks | Coming Soon

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

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