Data Unification: Google Ads + GitHub
How do you get one version of the truth?
The problem
Your data lives in silos. GA4 says one thing. Stripe says another. Shopify disagrees with both. Reconciling them by hand takes hours and the answer is still fuzzy.
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 unify all your tools into one clean, queryable data lake. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.
One lake. Every tool. Cleaned, deduplicated, and queryable in plain English.
What feeds data unification
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.
Shows where Google Ads fits in the real customer journey
Catches CPC spikes, quality score drops, and budget waste early
Correlates deployment timing with changes in customer behavior
Before and after
| Capability | Without askotter | With askotter |
|---|---|---|
| Data Unification | Manual, delayed | Automatic, real-time |
| Cross-platform data | Copy-paste between tabs | One data lake |
| Change detection | Weekly report | Minutes |
| Next steps | Figure it out yourself | Ranked actions, human-approved |
| Querying | SQL or export to CSV | Ask in plain English |
| Team knowledge | Tribal knowledge, lost in Slack | Saved notes, shared across teams |
Data Unification in action
Ask your data lake anything. Save what matters.
Other analyses: Google Ads + GitHub
Data Unification with other tools
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Connect Google Ads + GitHub. Five minutes.
Connect or import, intelligence out. AI recommends, you decide. No engineering needed.
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