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integration pair · campaign optimization

Campaign Optimization: Meta Ads + GitHub

Which campaigns should you scale and which should you kill?

Meta Ads · 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.

Meta Ads tracks campaign and ad set performance, creative performance, audience targeting 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 Meta Ads 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 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 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 Meta's real role in the journey (usually top-of-funnel, not last-click)

02

Catches spend anomalies, CPM spikes, performance drops early

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 Meta Ads and GitHub:
Scale, pause, or fix. Each recommendation backed by cross-platform revenue data. AI recommends, your team decides.
Meta Ads GitHub Strategy
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 + 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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