Predictive Forecasting: Meta Ads + GitHub
Can you trust your forecast?
The problem
Your forecast is a spreadsheet based on last year's numbers, so it misses that your Meta spend doubled this quarter and that your best product went out of stock last week.
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 forecast with live data from every connected tool. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.
Forecasts that update as your data changes, with confidence ranges attached. Agents refine their models as your processes change.
What feeds predictive forecasting
What happens when they're connected
Each tool answers its own questions. In one lake, askotter can also answer the questions that span both. Train these agents like your best employee and they become tireless assistants that scale your team's knowledge to everyone.
Shows Meta's real role in the journey (usually top-of-funnel)
Catches spend anomalies, CPM spikes, performance drops early
Correlates deployment timing with changes in customer behavior
Before and after
| Capability | Without askotter | With askotter |
|---|---|---|
| Predictive Forecasting | 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 |
Predictive Forecasting in action
Ask your data lake anything. Save what matters.
Other analyses: Meta Ads + GitHub
Predictive Forecasting with other tools
All Integrations
askotter by City
Connect Meta Ads + GitHub. Five minutes.
Connect or import and the data starts flowing. Your team reviews every recommendation. No engineering needed.
Self-managed is $99/mo and scales with the compute you use. Our team runs it from $600/mo.